Introduction The paradigm shift to a knowledge‐based economy has incremented the use of personal information applied to health‐related activities, such as biomedical research, innovation, and commercial initiatives. The convergence of science, technology, communication and data technologies has given rise to the application of big data to health; for example through eHealth, human databases and biobanks. Methods In light of these changes, we enquire about the value of personal data and its appropriate use. In order to illustrate the complex (...) ground on which big data applied to health develops, we analyse the current situation of the European Union and two cases: the Catalan VISC+/PADRIS and the UK Biobank, as perspectives. Discussion and conclusions Personal health‐related data in the context of the European Union is being increasingly used for big data projects under diverse schemes. There, public and private sectors participate distinctively or jointly, pursuing very different goals which may conflict with individual rights, notably privacy. Given that, this paper advocates for stopping the unjustified accumulation and commercialisation of personal data, protecting the interests of citizens and building appropriate frameworks to govern big data projects for health. A core tool for achieving such goals is to develop consent mechanisms which allow truly informed but adaptable consent, conjugated with the engagement of donors, participants and society. (shrink)

This study presents a description of an open database on scientific output of Vietnamese researchers in social sciences and humanities, one that corrects for the shortcomings in current research publication databases such as data duplication, slow update, and a substantial cost of doing science. Here, using scientists’ self-reports, open online sources and cross-checking with Scopus database, we introduce a manual system and its semi-automated version of the database on the profiles of 657 Vietnamese researchers in social sciences and humanities (...) who have published in Scopus-indexed journals from 2008 to 2018. The final system also records 973 foreign co-authors, 1,289 papers, and 789 affiliations. The data collection method, highly applicable for other sources, could be replicated in other developing countries while its content be used in cross-section, multivariate, and network data analyses. The open database is expected to help Vietnam revamp its research capacity and meet the public demand for greater transparency in science management. (shrink)

Most cognitive psychology experiments evaluate models of human cognition using a relatively small, well-controlled set of stimuli. This approach stands in contrast to current work in neuroscience, perception, and computer vision, which have begun to focus on using large databases of natural images. We argue that natural images provide a powerful tool for characterizing the statistical environment in which people operate, for better evaluating psychological theories, and for bringing the insights of cognitive science closer to real applications. We (...) discuss how some of the challenges of using natural images as stimuli in experiments can be addressed through increased sample sizes, using representations from computer vision, and developing new experimental methods. Finally, we illustrate these points by summarizing recent work using large image databases to explore questions about human cognition in four different domains: modeling subjective randomness, defining a quantitative measure of representativeness, identifying prior knowledge used in word learning, and determining the structure of natural categories. (shrink)

This paper reports on a recent symposium seminar series entitled ‘Governing genetic databases – collection, storage and use’ hosted by the Ethox Centre at the University of Oxford. It outlines the inadequacy of the current UK framework for governing genetic databases and biobanks and some of the implications of this. It then briefly describes and reflects on each of the five symposium papers.

Human genetic research databases cast a new light on the controversial issue of which uses of the human body are morally permissible. More specifically, banking human tissue raises issues relating to the ownership of the samples that the participants have donated, to the ownership of the data that are derived through processing the donated samples, and to the management arrangements that better balance the interest of genetic research with the protection of participants' rights. Winickoff & Winickoff (...) suggest that the charitable-trust model is a superior legal arrangement for biobanking compared with private biobanking. This paper critically assesses Winickoff & Winickoff's claim by highlighting some areas of implementation where such a model could be problematic. The charitable trust is certainly an advantageous arrangement because (1) it favors the separation between control and use of the samples, (2) it provides a procedural mechanism that facilitates the participation donor groups in the biobank management and (3) it mediates the different interests that are affected. On the other hand, the charitable-trust model leaves unresolved several issues--among them the ownership of the sample, the right of withdrawal, access and funding mechanism. I conclude that further theoretical and empirical analysis is required in the area. (shrink)

Elger splendidly describes the evolving global responses---both creative and misguided---to the ethical challenges arising in research using genetic databases and offers thoughtful suggestions for balancing the interests of science and `donors'. As insightful as it is comprehensive, this book is essential reading not only for bioethicists but for anyone who uses, oversees, or simply wants to understand biobanks, which are playing an increasingly essential role in biomedical and epidemiological research. Alexander M. Capron, University of Southern California, USA --.

Sound moves us. Nowhere is this more apparent than in our responses to genuine emotional vocalizations, be they heartfelt distress cries or raucous laughter. Here, we present perceptual ratings and a description of a freely available, large database of natural affective vocal sounds from human infants, adults and domestic animals, the Oxford Vocal (OxVoc) Sounds database. This database consists of 173 non-verbal sounds expressing a range of happy, sad, and neutral emotional states. Ratings are presented for the sounds on (...) a range of dimensions from a number of independent participant samples. Perceptions related to valence, including distress, vocalizer mood, and listener mood are presented in Study 1. Perceptions of the arousal of the sound, listener motivation to respond and valence (positive, negative) are presented in Study 2. Perceptions of the emotional content of the stimuli in both Study 1 and 2 were consistent with the predefined categories (e.g., laugh stimuli perceived as positive). While the adult vocalizations received more extreme valence ratings, rated motivation to respond to the sounds was highest for the infant sounds. The major advantages of this database are the inclusion of vocalizations from naturalistic situations, which represent genuine expressions of emotion, and the inclusion of vocalizations from animals and infants, providing comparison stimuli for use in cross-species and developmental studies. The associated website provides a detailed description of the physical properties of each sound stimulus along with cross-category descriptions. (shrink)

Chinese health authorities have not set up a very clear legal framework or ethical guideline on genetic research involving a huge number of human genetic samples. A nationwide mail survey was conducted to identify whether Chinese research communities identified the fundamental ethical issues. This paper provides in-depth analysis about the attitudes of target groups towards ownership, commercial conflict of interest, international cooperation and ethical review mechanism that may be used to inform national guidelines related to genetic databases in (...) China. (shrink)

After the novel, and subsequently cinema privileged narrative as the key form of cultural expression of the modern age, the computer age introduces its correlate — database. Why does new media favour database form over others? Can we explain ist popularity by analysing the specificity of the digital medium and of computer programming? What is the relationship between database and another form, which has traditionally dominated human culture — narrative? In addressing these questions, I discuss the connection between computer's (...) ontology — the way software represents the world — and the new cultural forms privileged by computer culture such as database. I propose that computerisation of culture involves projection of two fundamental parts of computer software — data structures and algorithms — onto the cultural sphere. Thus CD-ROMs and Web databases are cultural manifestations of one half of this ontology — data structures; while new media narratives are manifestations of the second part — algorithms. I conclude by proposing that in computer culture database and narrative do not have the same status. Given that on the level of data organisation most new media objects are databases, it is not surprising that on the level of form database also dominates new media culture. (shrink)

The academic databases such as Scopus or Web of Science are commonly used to measure performance of universities, departments, and even single researchers. However, to what extent such databases can represent real outcomes of aforementioned units especially in the field of art and humanities where local languages and cultural phenomena play an important role is not clear. This article focuses on understanding how research in this field, as seen through the case of aesthetics in non-English speaking countries, Finland (...) in particular, is represented through major academic databases. This question is tackled by applying a data mining approach. First, we identify major academic databases, and afterwards test what is the proportion of Finnish aesthetics presented in those databases. Our approach allows us to critically look into representation of local art or humanities related research in general academic databases, and understand to what extent we can trust those sources in representing real pictures of the field. Results strengthen the well-known fact that most common academic databases draw a rather poor picture. In more particular this article shows that there are certain factors that influence analysis of the field: spread data, multilingual content, non-standard categorization, variability of venues, different publishing patterns, and unsuitable impact metrics. However, our results propose that alternative databases can be formed from university or meta-data databases. We also provide further directions for designing of such databases. (shrink)

This guide accompanies the following article(s): ‘Full Disclosure of the “Raw Data” of Research on Humans: Citizens’ Rights, Product Manufacturer’s Obligations and the Quality of the Scientific Database.’Philosophy Compass 6/2 (2011): 90–99. doi: 10.1111/j.1747‐9991.2010.00376.x Author’s Introduction Securing consent (and informed consent) from patients and research study participants is a key concern in patient care and research on humans. Yet, the legal doctrines of consent and informed consent differ in their applications. In patient care, the judicial doctrines of consent and informed (...) consent are disclosure doctrines based on the obligation of physicians to inform their patients of the following types of information: the nature of the procedure the physician is recommending in the patent’s care (P), the alternatives to the physician‐recommendation (A), and the risks of procedure and its alternatives (R). In addition, the physician must provide truthful answers to the patient’s questions (Q) to the best of the physician’s abilities. In research on humans, the onus of disclosure by study sponsors and principal investigators is much greater than in patient care precisely because the purpose of research is not patient care. The purpose of research is the identification and development of new generalizable knowledge. Thus, participation in a research study or trial may not benefit the study volunteer at all. In addition, the participant may carry a heavy risk burden in relationship to any testing of a newly designed drug or device as part of their experiences in the research study. Presently, despite the risks borne by the research study participant, the raw data collected from volunteers in research trials are treated by courts as if they were the private property of the study sponsor rather than generally owed to the public as would be expected by an effort like research participation aimed at contributing to the development of generalizable knowledge. This paper reviews the obligations that study sponsors owe to their study participants based on the very definition of research as a systematic activity whose purpose is to develop generalizable knowledge to help all humans. Author Recommends Court cases Canterbury v. Spence, United States Court of Appeals, District of Columbia Circuit 464 F.2d 772 (1972). (Federal appellate decision heard in the District of Columbia, USA) Reibl v. Hughes, 2 S.C.R. 880 (1980). (Supreme Court of Canada) Rogers v. Whitaker, 175 C.L. R. 479 (1992). (High Court of Australia) Sidaway v. Board of Governors of the Bethlem Royal Hospital and the Maudsley Hospital and Others. 1 A.C. 871 (1985) (House of Lords) Canterbury v. Spence is the landmark Federal informed consent case in the United States heard in the District of Columbia. In this case, Judge Spottswood Robinson articulated the reasonable person standard of informed consent. This standard was subsequently adopted by the Supreme Court of Canada (Reibl v. Hughes, 2 S.C.R. 880 (1980)) and the High Court of Australia (Rogers v. Whitaker, 175 C.L. R. 479 (1992)). The House of Lords rejected the reasonable person standard in England in Sidaway v. Board of Governors of the Bethlem Royal Hospital and the Maudsley Hospital and Others. 1 A.C. 871 (1985). Book Mazur, Dennis J. The Science and Ethics of Research on Humans. Baltimore, MD: Johns Hopkins University Press, 2007. This book is a detailed guide for the review of scientific and ethical aspects of research on humans contained in the research study protocols and research informed consent forms which need to be submitted by study sponsors and principal investigators to institutional review boards (IRBs) for IRB review before a research study can receive approval to be conducted within a human study population in those institutions over which the IRB has authority. It also presents basic definitions in the area of research on humans and basic approaches to help conduct a deep review of the underlying scientific and ethical issues that are present within a research study protocol and its accompanying research informed consent form. Report National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research. The Belmont Report: Ethical Guidelines for the Protection of Human Subjects of Research. Washington, DC: DHEW Publications, 1978 (78‐0012). This U.S. National Commission in the Belmont Report argued for the necessity of a reasonable volunteer standard in research on humans in the United States. Arguing that the professional standard and the reasonable person standard of consent and informed consent were insufficient to base a disclosure standard in research on humans, this National Commission developed the reasonable volunteer standard where a study participant is to be approached in research informed consent with that information that a reasonable volunteer would want to know. Online Materials Belmont Report: Syllabus Topics for Lecture and Discussion Week I: Introduction and Overview Readings: Rogers v. Whitaker, 175 C.L.R. 479 (1992). (High Court of Australia) Sidaway v. Board of Governors of the Bethlem Royal Hospital and the Maudsley Hospital and Others. 1 A.C. 871 (1985) (House of Lords) Week II: The Different Standards of Consent and Informed Consent Readings: Canterbury v. Spence, 464 F.2d 772 (1972). (Federal appellate opinion heard in the District of Columbia) Sidaway v. Board of Governors of the Bethlem Royal Hospital and the Maudsley Hospital and Others. 1 A.C. 871 (1985) (House of Lords) Week III: Definition of Research Reading: Mazur, Dennis J. The Science and Ethics of Research on Humans. Baltimore, MD: Johns Hopkins University Press, 2007. (Especially Chapters 2 and 3) Week IV: How to Review a Research Study Protocol and Research Informed Consent Form Reading: Mazur, Dennis J. The Science and Ethics of Research on Humans. Baltimore, MD: Johns Hopkins University Press, 2007. (Especially Chapters 4–6, 10, and 12–14) Week V: Obligations in Research of Humans Versus Patient Care Reading: National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research. The Belmont Report: Ethical Guidelines for the Protection of Human Subjects of Research. Washington, DC: DHEW Publications, 1978 (78‐0012). Focus Questions • How do the judicial doctrines of consent in England and Australia compare to the judicial doctrines of informed consent in the United States and Canada? • How does a professional standard of disclosure differ from a reasonable person standard of disclosure? • What is the definition of research? • How is a research study (study proposal and research informed consent form) reviewed from scientific and ethical bases for considerations of approval by an IRB? • How do the obligations of a study sponsor, a principal investigator, and a research team conducting a research trial on human study participants differ from the obligations of a physician caring for a patient? • Should all raw data of research derived from humans be made available to the public for use in developing generalizable knowledge to help others, or should raw data be considered the private property of the study sponsors (for example, prescription drug manufacturers), who fund the research trials? Seminar/project Idea Draw a timeline of the development of the basic concepts of consent and informed consent in patient care and in patient research. On this timeline, first place the dates of the key court cases in England, the United States, Canada, and Australia on consent and informed consent. Then place the date of the development of the Belmont Report. Why do differences exist between these four countries in terms of the legal requirements of informedness of a patient (in medical care) and a study participant (in medical research)? What roles if any do the concepts of self‐determination and self‐decision have in consent and informed consent in patient care and in informed consent in research on humans among the four countries of interest? What are the realities of research on human participants that require a new standard of informed consent, the reasonable volunteer standard, to be developed beyond the two standards in patient care, the professional standard, and the reasonable person standard? Counterpoint Arguments The following are counterpoint arguments that need to be appreciated to more fully understand the concepts that impact the thesis that ‘raw data’ should be open to the public to allow the opportunity of checking of the results of its associated scientific paper and for further analysis. De‐Identified (Anonymized) Raw Data A current approach to identifying (anonymizinig) raw data is based on the Health Insurance Portability and Accountability Act (HIPAA) of 1996 (P.L.104‐191). HIPAA was enacted by the U.S. Congress in 1996 to keep a person’s medical information private. In a research study, a person’s private medical information can become research data. HIPAA’s Privacy Rule allows a covered entity to de‐identify data by removing all 18 elements that could be used to identify the individual or the individual’s relatives, employers, or household members; these elements are enumerated in the Privacy Rule. The covered entity must also have no actual knowledge that the remaining information could be used alone or in combination with other information to identify the individual who is the subject of the information. Under this method, the identifiers that must be removed are the following: 1 Names. 2 All geographic subdivisions smaller than a state, including street address, city, county, precinct, ZIP Code, and their equivalent geographical codes, except for the initial three digits of a ZIP Code if, according to the current publicly available data from the Bureau of the Census: 2a. The geographic unit formed by combining all ZIP Codes with the same three initial digits contains more than 20,000 people. 2b. The initial three digits of a ZIP Code for all such geographic units containing 20,000 or fewer people are changed to 000. 3 All elements of dates (except year) for dates directly related to an individual, including birth date, admission date, discharge date, and date of death, and all ages over 89 and all elements of dates (including year) indicative of such age, except that such ages and elements may be aggregated into a single category of age 90 or older. 4 Telephone numbers. 5 Facsimile numbers. 6 Electronic mail addresses. 7 Social security numbers. 8 Medical record numbers. 9 Health plan beneficiary numbers. 10 Account numbers. 11 Certificate/license numbers. 12 Vehicle identifiers and serial numbers, including license plate numbers. 13 Device identifiers and serial numbers. 14 Web universal resource locators (URLs). 15 Internet protocol (IP) address numbers. 16 Biometric identifiers, including fingerprints and voiceprints. 17 Full‐face photographic images and any comparable images. 18 Any other unique identifying number, characteristic, or code, unless otherwise permitted by the Privacy Rule for re‐identification. Even though ‘raw data’ can be de‐identified (anonymized) so that there is no way to trace back the data to the study participant from which it was drawn, there are still questions whether the ‘de‐identified raw data’ can be given to other researchers or made public without the original study participant’s approval. It may be the case that this approval could be done at the start of any research study where the individual considering study participation would be counseled on what the process of de‐identification consists of and would be asked whether the participant would allow use of the data by other researchers or made available to the public in a de‐identified state. However, there may be questions of the study participants as to whether the data are truly de‐identified and untraceable back to the study participant since the participant would not be able to see the process actually being carried out in detail in all relevant circumstances. Using Raw Data in Context Simply being in possession of raw data is never enough to build on that data from a research perspective. Researchers need to understand the context of the scientific research study in which the data were collected. This research context includes (but is not limited to): (i) the scientific hypothesis of the research study, (ii) the inclusion and exclusion criteria selected by the research designers of the study to determine which study participants were included and which were excluded from the study, (iii) the methods used to collect the data and possibilities of errors in the data collection processes, and (iv) answers to questions regarding whether any data were excluded from the study data and why these data were excluded. Ownership Rights Over Data There are ownership rights over data. Ownership rights include court decision making related to the question which parties are to be considered as the owners of the data. Possible owners here include (but are not limited to) (i) the study sponsor whose only role was to fund that study, (ii) the principal investigator(s) who developed the scientific hypothesis, and (iii) individual study participants through special contracts made by individual participants who negotiate such contracts with study sponsors and principal investigators to share in the ownership of data. Examples of such data are participant sources of unique gene lines or unique cell lines to be used in future research. Objections to Data Sharing Finally, individual researchers may simply object to sharing data. A researcher’s arguments here may be simply stating that he or she has a right to fully analyze the data since the collection of the data was the researchers’ idea in the first place. These researchers may argue that they have the right to mine the data as fully as they can before deciding to make the data open to the public for others to analyze. Works Cited 1 Kaiser, J. ‘Making Clinical Data Widely Available.’Science 322.5899 (10 Oct. 2008): 217–8. 2 de Lusignan, S., J.F. Metsemakers, P. Houwink, V. Gunnarsdottir, and J. van der Lei. ‘Routinely Collected General Practice Data: Goldmines for Research? A Report of the European Federation for Medical Informatics Primary Care Informatics Working Group (EFMI PCIWG) from MIE2006, Maastricht, The Netherlands.’Informatics in Primary Care 14.3 (2006): 203–9. 3 Sim, I. ‘Human Studies Database Project’, CTSA Data Repositories Symposium (17 Oct. 2008). 23 Nov. 2010. 4 Sim, I., C.G. Chute, H. Lehmann, R. Nagarajan, M. Nahm, and R.H. Scheuermann. ‘Keeping Raw Data in Context.’Science 323.5915 (6 Feb. 2009): 713. 5 U.S. Department of Health and Human Services, National Institutes of Health, HIPAA Privacy Rule, Information for Researchers. 13 Nov. 2010. 6 Wilczynski, N.L., R.B. Haynes, and Hedges Team. ‘EMBASE Search Strategies for Identifying Methodologically Sound Diagnostic Studies for Use by Clinicians and Researchers.’BMC Medicine 29.3 (March 2005): 7. (shrink)

This guide accompanies the following article(s): ‘Full Disclosure of the “Raw Data” of Research on Humans: Citizens’ Rights, Product Manufacturer’s Obligations and the Quality of the Scientific Database.’Philosophy Compass 6/2 (2011): 90–99. doi: 10.1111/j.1747‐9991.2010.00376.x Author’s Introduction Securing consent (and informed consent) from patients and research study participants is a key concern in patient care and research on humans. Yet, the legal doctrines of consent and informed consent differ in their applications. In patient care, the judicial doctrines of consent and informed (...) consent are disclosure doctrines based on the obligation of physicians to inform their patients of the following types of information: the nature of the procedure the physician is recommending in the patent’s care (P), the alternatives to the physician‐recommendation (A), and the risks of procedure and its alternatives (R). In addition, the physician must provide truthful answers to the patient’s questions (Q) to the best of the physician’s abilities. In research on humans, the onus of disclosure by study sponsors and principal investigators is much greater than in patient care precisely because the purpose of research is not patient care. The purpose of research is the identification and development of new generalizable knowledge. Thus, participation in a research study or trial may not benefit the study volunteer at all. In addition, the participant may carry a heavy risk burden in relationship to any testing of a newly designed drug or device as part of their experiences in the research study. Presently, despite the risks borne by the research study participant, the raw data collected from volunteers in research trials are treated by courts as if they were the private property of the study sponsor rather than generally owed to the public as would be expected by an effort like research participation aimed at contributing to the development of generalizable knowledge. This paper reviews the obligations that study sponsors owe to their study participants based on the very definition of research as a systematic activity whose purpose is to develop generalizable knowledge to help all humans. Author Recommends Court cases Canterbury v. Spence, United States Court of Appeals, District of Columbia Circuit 464 F.2d 772 (1972). (Federal appellate decision heard in the District of Columbia, USA) Reibl v. Hughes, 2 S.C.R. 880 (1980). (Supreme Court of Canada) Rogers v. Whitaker, 175 C.L. R. 479 (1992). (High Court of Australia) Sidaway v. Board of Governors of the Bethlem Royal Hospital and the Maudsley Hospital and Others. 1 A.C. 871 (1985) (House of Lords) Canterbury v. Spence is the landmark Federal informed consent case in the United States heard in the District of Columbia. In this case, Judge Spottswood Robinson articulated the reasonable person standard of informed consent. This standard was subsequently adopted by the Supreme Court of Canada (Reibl v. Hughes, 2 S.C.R. 880 (1980)) and the High Court of Australia (Rogers v. Whitaker, 175 C.L. R. 479 (1992)). The House of Lords rejected the reasonable person standard in England in Sidaway v. Board of Governors of the Bethlem Royal Hospital and the Maudsley Hospital and Others. 1 A.C. 871 (1985). Book Mazur, Dennis J. The Science and Ethics of Research on Humans. Baltimore, MD: Johns Hopkins University Press, 2007. This book is a detailed guide for the review of scientific and ethical aspects of research on humans contained in the research study protocols and research informed consent forms which need to be submitted by study sponsors and principal investigators to institutional review boards (IRBs) for IRB review before a research study can receive approval to be conducted within a human study population in those institutions over which the IRB has authority. It also presents basic definitions in the area of research on humans and basic approaches to help conduct a deep review of the underlying scientific and ethical issues that are present within a research study protocol and its accompanying research informed consent form. Report National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research. The Belmont Report: Ethical Guidelines for the Protection of Human Subjects of Research. Washington, DC: DHEW Publications, 1978 (78‐0012). This U.S. National Commission in the Belmont Report argued for the necessity of a reasonable volunteer standard in research on humans in the United States. Arguing that the professional standard and the reasonable person standard of consent and informed consent were insufficient to base a disclosure standard in research on humans, this National Commission developed the reasonable volunteer standard where a study participant is to be approached in research informed consent with that information that a reasonable volunteer would want to know. Online Materials Belmont Report: Syllabus Topics for Lecture and Discussion Week I: Introduction and Overview Readings: Rogers v. Whitaker, 175 C.L.R. 479 (1992). (High Court of Australia) Sidaway v. Board of Governors of the Bethlem Royal Hospital and the Maudsley Hospital and Others. 1 A.C. 871 (1985) (House of Lords) Week II: The Different Standards of Consent and Informed Consent Readings: Canterbury v. Spence, 464 F.2d 772 (1972). (Federal appellate opinion heard in the District of Columbia) Sidaway v. Board of Governors of the Bethlem Royal Hospital and the Maudsley Hospital and Others. 1 A.C. 871 (1985) (House of Lords) Week III: Definition of Research Reading: Mazur, Dennis J. The Science and Ethics of Research on Humans. Baltimore, MD: Johns Hopkins University Press, 2007. (Especially Chapters 2 and 3) Week IV: How to Review a Research Study Protocol and Research Informed Consent Form Reading: Mazur, Dennis J. The Science and Ethics of Research on Humans. Baltimore, MD: Johns Hopkins University Press, 2007. (Especially Chapters 4–6, 10, and 12–14) Week V: Obligations in Research of Humans Versus Patient Care Reading: National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research. The Belmont Report: Ethical Guidelines for the Protection of Human Subjects of Research. Washington, DC: DHEW Publications, 1978 (78‐0012). Focus Questions • How do the judicial doctrines of consent in England and Australia compare to the judicial doctrines of informed consent in the United States and Canada? • How does a professional standard of disclosure differ from a reasonable person standard of disclosure? • What is the definition of research? • How is a research study (study proposal and research informed consent form) reviewed from scientific and ethical bases for considerations of approval by an IRB? • How do the obligations of a study sponsor, a principal investigator, and a research team conducting a research trial on human study participants differ from the obligations of a physician caring for a patient? • Should all raw data of research derived from humans be made available to the public for use in developing generalizable knowledge to help others, or should raw data be considered the private property of the study sponsors (for example, prescription drug manufacturers), who fund the research trials? Seminar/project Idea Draw a timeline of the development of the basic concepts of consent and informed consent in patient care and in patient research. On this timeline, first place the dates of the key court cases in England, the United States, Canada, and Australia on consent and informed consent. Then place the date of the development of the Belmont Report. Why do differences exist between these four countries in terms of the legal requirements of informedness of a patient (in medical care) and a study participant (in medical research)? What roles if any do the concepts of self‐determination and self‐decision have in consent and informed consent in patient care and in informed consent in research on humans among the four countries of interest? What are the realities of research on human participants that require a new standard of informed consent, the reasonable volunteer standard, to be developed beyond the two standards in patient care, the professional standard, and the reasonable person standard? Counterpoint Arguments The following are counterpoint arguments that need to be appreciated to more fully understand the concepts that impact the thesis that ‘raw data’ should be open to the public to allow the opportunity of checking of the results of its associated scientific paper and for further analysis. De‐Identified (Anonymized) Raw Data A current approach to identifying (anonymizinig) raw data is based on the Health Insurance Portability and Accountability Act (HIPAA) of 1996 (P.L.104‐191). HIPAA was enacted by the U.S. Congress in 1996 to keep a person’s medical information private. In a research study, a person’s private medical information can become research data. HIPAA’s Privacy Rule allows a covered entity to de‐identify data by removing all 18 elements that could be used to identify the individual or the individual’s relatives, employers, or household members; these elements are enumerated in the Privacy Rule. The covered entity must also have no actual knowledge that the remaining information could be used alone or in combination with other information to identify the individual who is the subject of the information. Under this method, the identifiers that must be removed are the following: 1 Names. 2 All geographic subdivisions smaller than a state, including street address, city, county, precinct, ZIP Code, and their equivalent geographical codes, except for the initial three digits of a ZIP Code if, according to the current publicly available data from the Bureau of the Census: 2a. The geographic unit formed by combining all ZIP Codes with the same three initial digits contains more than 20,000 people. 2b. The initial three digits of a ZIP Code for all such geographic units containing 20,000 or fewer people are changed to 000. 3 All elements of dates (except year) for dates directly related to an individual, including birth date, admission date, discharge date, and date of death, and all ages over 89 and all elements of dates (including year) indicative of such age, except that such ages and elements may be aggregated into a single category of age 90 or older. 4 Telephone numbers. 5 Facsimile numbers. 6 Electronic mail addresses. 7 Social security numbers. 8 Medical record numbers. 9 Health plan beneficiary numbers. 10 Account numbers. 11 Certificate/license numbers. 12 Vehicle identifiers and serial numbers, including license plate numbers. 13 Device identifiers and serial numbers. 14 Web universal resource locators (URLs). 15 Internet protocol (IP) address numbers. 16 Biometric identifiers, including fingerprints and voiceprints. 17 Full‐face photographic images and any comparable images. 18 Any other unique identifying number, characteristic, or code, unless otherwise permitted by the Privacy Rule for re‐identification. Even though ‘raw data’ can be de‐identified (anonymized) so that there is no way to trace back the data to the study participant from which it was drawn, there are still questions whether the ‘de‐identified raw data’ can be given to other researchers or made public without the original study participant’s approval. It may be the case that this approval could be done at the start of any research study where the individual considering study participation would be counseled on what the process of de‐identification consists of and would be asked whether the participant would allow use of the data by other researchers or made available to the public in a de‐identified state. However, there may be questions of the study participants as to whether the data are truly de‐identified and untraceable back to the study participant since the participant would not be able to see the process actually being carried out in detail in all relevant circumstances. Using Raw Data in Context Simply being in possession of raw data is never enough to build on that data from a research perspective. Researchers need to understand the context of the scientific research study in which the data were collected. This research context includes (but is not limited to): (i) the scientific hypothesis of the research study, (ii) the inclusion and exclusion criteria selected by the research designers of the study to determine which study participants were included and which were excluded from the study, (iii) the methods used to collect the data and possibilities of errors in the data collection processes, and (iv) answers to questions regarding whether any data were excluded from the study data and why these data were excluded. Ownership Rights Over Data There are ownership rights over data. Ownership rights include court decision making related to the question which parties are to be considered as the owners of the data. Possible owners here include (but are not limited to) (i) the study sponsor whose only role was to fund that study, (ii) the principal investigator(s) who developed the scientific hypothesis, and (iii) individual study participants through special contracts made by individual participants who negotiate such contracts with study sponsors and principal investigators to share in the ownership of data. Examples of such data are participant sources of unique gene lines or unique cell lines to be used in future research. Objections to Data Sharing Finally, individual researchers may simply object to sharing data. A researcher’s arguments here may be simply stating that he or she has a right to fully analyze the data since the collection of the data was the researchers’ idea in the first place. These researchers may argue that they have the right to mine the data as fully as they can before deciding to make the data open to the public for others to analyze. Works Cited 1 Kaiser, J. ‘Making Clinical Data Widely Available.’Science 322.5899 (10 Oct. 2008): 217–8. 2 de Lusignan, S., J.F. Metsemakers, P. Houwink, V. Gunnarsdottir, and J. van der Lei. ‘Routinely Collected General Practice Data: Goldmines for Research? A Report of the European Federation for Medical Informatics Primary Care Informatics Working Group (EFMI PCIWG) from MIE2006, Maastricht, The Netherlands.’Informatics in Primary Care 14.3 (2006): 203–9. 3 Sim, I. ‘Human Studies Database Project’, CTSA Data Repositories Symposium (17 Oct. 2008). 23 Nov. 2010. 4 Sim, I., C.G. Chute, H. Lehmann, R. Nagarajan, M. Nahm, and R.H. Scheuermann. ‘Keeping Raw Data in Context.’Science 323.5915 (6 Feb. 2009): 713. 5 U.S. Department of Health and Human Services, National Institutes of Health, HIPAA Privacy Rule, Information for Researchers. 13 Nov. 2010. 6 Wilczynski, N.L., R.B. Haynes, and Hedges Team. ‘EMBASE Search Strategies for Identifying Methodologically Sound Diagnostic Studies for Use by Clinicians and Researchers.’BMC Medicine 29.3 (March 2005): 7. (shrink)

Laing contends that the practice of eugenics has not disappeared. Conceptually related to the utilitarian and Social Darwinist worldview and historically evolving out of the practice of slavery, it led to some of the most spectacular human rights abuses in human history. The compulsory sterilization of and experimentation on those deemed “undesirable” and “unfit” in many technologically developed states like the US, Scandinavia, and Japan, led inexorably and most systematically to Nazi Germany with the elimination of countless millions (...) of people for their race, class, political views, sexuality, religion or disability. Biometric databases exposing one’s medical data, DNA defects, IQ, political views, while in some ways appearing socially useful, demonstrates how vulnerable humans are, not just at the hands of political malfeasors and tyrants but insurance companies, government snoopers, false friends and determined social engineers. (shrink)

The issue of large-scale, population based DNA collections has become a world-wide discussion, which is hoped to bring substantial improvements in medicine. Continuous access to clinical data linked to the genetic samples is very important for some research that aims to find significant association between genes and diseases. This raises ethical issues related to privacy and confidentiality of medical records and the genetic information of the individuals who may be involved in the research. Genetic databases can also raise challenges (...) for the protection of the rights of the social groups, in avoiding potential stigmatization or discrimination. Informed consent of voluntary participants is another important issue in genetic research.We consider whether a person has ethical duties to donate a sample to a database if it will be used for the improvement of the health services to which they have benefited from. The balance between individual's privacy and public health is needed in genetic research. A good database will contribute to the good of both donors and society. (shrink)

The Database on Ethics Related Legislation and Guidelines was launched in March 2007 as the fourth database of the UNESCO Global Ethics Observatory system of databases in ethics of science and technology. The database offers a collection of legal instruments searchable by region, country, bioethical themes, legal categories and applicability to specific articles of the UNESCO Universal Declaration on Bioethics and Human Rights and International Declaration on Human Genetic Data. This paper discusses the background and rationale for (...) the database and its role as a consultative and comparative resource hub for the study of ethics related legal instruments across the world, with the purpose of informing and inspiring relevant stakeholders on the implementation of the principles contained within the UNESCO declarations on bioethics. (shrink)

Many research fields concerned with the processing of information contained in human faces would benefit from face stimulus sets in which specific facial characteristics are systematically varied while other important picture characteristics are kept constant. Specifically, a face database in which displayed expressions, gaze direction, and head orientation are parametrically varied in a complete factorial design would be highly useful in many research domains. Furthermore, these stimuli should be standardised in several important, technical aspects. The present article presents the (...) freely available Radboud Faces Database offering such a stimulus set, containing both Caucasian adult and children images. This face database is described both procedurally and in terms of content, and a validation study concerning its most important characteristics is presented. In the validation study, all frontal images were rated with respect to the shown facial expression, intensity of expression, clarity of expression, genuineness of expression, attractiveness, and valence. The results show very high recognition of the intended facial expressions. (shrink)

The Database on Ethics Related Legislation and Guidelines was launched in March 2007 as the fourth database of the UNESCO Global Ethics Observatory system of databases in ethics of science and technology. The database offers a collection of legal instruments searchable by region, country, bioethical themes, legal categories and applicability to specific articles of the UNESCO Universal Declaration on Bioethics and Human Rights and International Declaration on Human Genetic Data. This paper discusses the background and rationale for (...) the database and its role as a consultative and comparative resource hub for the study of ethics related legal instruments across the world, with the purpose of informing and inspiring relevant stakeholders on the implementation of the principles contained within the UNESCO declarations on bioethics. (shrink)

Since the inception of the Human Genome Project, human genetics has frequently been conducted through big science projects, combining academic, state and industrial methods, interests and resources. The legitimacy of such projects has been linked to national prestige and images of the nation, the purity of scientific endeavour, the entrepreneurial spirit, medical progress and the public health. A key complication in these discourses is that large-scale genetic research has yet to show major results when considered in terms of (...) the objectives used to legitimate investment and social support for these projects. The main area showing promise at present is the developing field of pharmacogenetics, which is now attracting major industry and government investment. Sociological, ethical and philosophical study of human genetic sample-based research and pharmacogenetics has developed in parallel with inquiry in the biological and biomedical sciences. This paper introduces a symposium on the ethical and social aspects of this field of biomedical research. (shrink)

Since the inception of the Human Genome Project, human genetics has frequently been conducted through big science projects, combining academic, state and industrial methods, interests and resources. The legitimacy of such projects has been linked to national prestige and images of the nation, the purity of scientific endeavour, the entrepreneurial spirit, medical progress and the public health. A key complication in these discourses is that large-scale genetic research has yet to show major results when considered in terms of (...) the objectives used to legitimate investment and social support for these projects. The main area showing promise at present is the developing field of pharmacogenetics, which is now attracting major industry and government investment. Sociological, ethical and philosophical study of human genetic sample-based research and pharmacogenetics has developed in parallel with inquiry in the biological and biomedical sciences. This paper introduces a symposium on the ethical and social aspects of this field of biomedical research. (shrink)

For a conference at my college I was asked to think about how my teaching —not my research— would be affected by rapid, cheap, and simple access by computer to all the published literature of the human race. Forget what impediments stand in the way of this hypothetical future and imagine that your campus has the means for you and your students to locate, search, sort, copy, and store anything in digital form that has ever been in print. How (...) would you answer? (shrink)

Described as a ‘sort of Human Genome Project for historical linguistics’, the Evolution of Human Languages Project (EHL) is dedicated to promoting long-range genealogical research into linguistic prehistory. Toward that end, its architects have sought to collect and coordinate evidence of every known human language, roughly 6000 in all, fostering an interdisciplinary and internationally accessible environment for the study of historical universals and contemporary diversity. This article investigates the roots and branches of the Global Lexicostatistical Database – (...) a component project of the EHL. It pays special attention to strategies for encoding epistemological pluralism in a web-based archive of global proportions. (shrink)

While art is omnipresent in human history, the neural mechanisms of how we perceive, value and differentiate art has only begun to be explored. Functional magnetic resonance imaging studies suggested that art acts as secondary reward, involving brain activity in the ventral striatum and prefrontal cortices similar to primary rewards such as food. However, potential similarities or unique characteristics of art-related neuroscience remain elusive, also because of a lack of adequate experimental tools: the available collections of art stimuli often (...) lack standard image definitions and normative ratings. Therefore, we here provide a large set of well-characterized, novel art images for use as visual stimuli in psychological and neuroimaging research. The stimuli were created using a deep learning algorithm that applied different styles of popular paintings on ordinary animal, plant and object images which were drawn from established visual stimuli databases. The novel stimuli represent mundane items with artistic properties with proposed reduced dimensionality and complexity compared to paintings. In total, 2,332 novel stimuli are available open access as “art.pics” database at https://osf.io/BTWNQ/ with standard image characteristics that are comparable to other common visual stimuli material in terms of size, variable color distribution, complexity, intensity and valence, measured by image software analysis and by ratings derived from a human experimental validation study [n = 1,296, age 30.2 ± 8.8 y.o.]. The experimental validation study further showed that the art.pics elicit a broad and significantly different variation in subjective value ratings as well as in recognizability, arousal and valence across different art styles and categories. Researchers are encouraged to study the perception, processing and valuation of art images based on the art.pics database which also enables real reward remuneration of the rated stimuli and a direct comparison to other rewards from e.g., food or money.Key Messages: We provide an open access, validated and large set of novel stimuli of standardized art images including normative rating data to be used for experimental research. Reward remuneration in experimental settings can be easily implemented for the art.pics by e.g., handing out the stimuli to the participants, as done in the presented validation task. Experimental validation showed that the art.pics’ images elicit a broad and significantly different variation in subjective value ratings across different art styles and categories, while size, color and complexity characteristics remained comparable to other visual stimuli databases. (shrink)

This paper discusses the discourse of ‘participation’ in the context of genetic databases. Focusing on UK Biobank, it suggests that this discourse can be seen as a reflexive institutional response to public ambivalence towards science and expertise. Drawing on empirical evidence from focus groups, I explore how people from various backgrounds constructed and contested two different kinds of participation in UK Biobank. The first relates to people providing research materials to genetic databases and the second to people becoming (...) ‘co-decision makers’ in these projects. My analysis highlights how focus groups positioned themselves and others in relation to UK Biobank and drew on a variety of ‘discursive repertoires’, such as altruism, public ignorance, expertise, and lay empowerment. I conclude that discourses of participation reflect the way people position themselves and others - as experts, publics, patients, or research subjects - in relation to the opportunities and uncertainties of new biomedical research. (shrink)

This paper will discuss interactive on-line artworks modelled on cellular automata that employ various types of agents, both algorithmic and human, to assist in the evolution of their databases. These works constitute what will here be referred to as “Collaborative Systems” systems that evolve through the practice of inter-authorship.

This volume investigates human genetic biobanking and its regulation in various Asian countries and areas, including Japan, Mainland China, Taiwan, Hong Kong, ...

The reporting of clinical trial data is necessary not only for doctors to determine treatment efficacy, but also to explore new questions without unnecessarily repeating trials, and to protect patients and the public from dangers when data are withheld. This issue is particularly salient in those trials involving invasive neurosurgical interventions, such as deep brain stimulation (DBS), for ‘treatment refractory’ psychiatric disorders. Using the federal database ClinicalTrials.gov, it was discovered that out of the completed or unknown‐status trials related to psychiatric (...) DBS up to November 2018, only two had submitted results to ClinicalTrials.gov. These results suggest that, despite federal requirements to report clinical trial data, reporting on psychiatric DBS trials is problematically minimal. It is argued that a human rights approach to this problem establishes a legal and ethical foundation for the need to report clinical trial results in this area. (shrink)

Although high-performance human resource practices do not directly affect corporate social performance strengths, they do positively affect CSP strengths in companies that are highly innovative or have high levels of slack. High-performance human resource management practices also directly and negatively affect CSP concerns. Drawing on the resource-based view and using secondary data from an objective, third-party database, the authors develop and test hypotheses about how high-performance HRM affects a company’s CSP strengths and concerns. Findings suggest that HRM and (...) innovation are important capabilities because they create and enhance other capabilities. (shrink)

Genomics is increasingly considered a global enterprise – the fact that biological information can flow rapidly around the planet is taken to be important to what genomics is and what it can achieve. However, the large-scale international circulation of nucleotide sequence information did not begin with the Human Genome Project. Efforts to formalize and institutionalize the circulation of sequence information emerged concurrently with the development of centralized facilities for collecting that information. That is, the very first databases build (...) for collecting and sharing DNA sequence information were, from their outset, international collaborative enterprises. This paper describes the origins of the International Nucleotide Sequence Database Collaboration between GenBank in the United States, the European Molecular Biology Laboratory Databank, and the DNA Database of Japan. The technical and social groundwork for the international exchange of nucleotide sequences created the conditions of possibility for imagining nucleotide sequences as a “global” objects. The “transnationalism” of nucleotide sequence was critical to their ontology – what DNA sequences came to be during the Human Genome Project was deeply influenced by international exchange. (shrink)

There is increasing interest in clarifying how different face emotion expressions are perceived by people from different cultures, of different ages and sex. However, scant availability of well-controlled emotional face stimuli from non-Western populations limit the evaluation of cultural differences in face emotion perception and how this might be modulated by age and sex differences. We present a database of East Asian face expression stimuli, enacted by young and older, male and female, Taiwanese using the Facial Action Coding System (FACS). (...) Combined with a prior database, this present database consists of 90 identities with happy, sad, angry, fearful, disgusted, surprised and neutral expressions amounting to 628 photographs. 20 young and 24 older East Asian raters scored the photographs for intensities of multiple-dimensions of emotions and induced affect. Multivariate analyses characterized the dimensionality of perceived emotions and quantified effects of age and sex. We also applied commercial software to extract computer-based metrics of emotions in photographs. Taiwanese raters perceived happy faces as one category, sad, angry, and disgusted expressions as one category, and fearful and surprised expressions as one category. Younger females were more sensitive to face emotions than younger males. Whereas older males showed reduced face emotion sensitivity, older female sensitivity was similar or accentuated relative to young females. Commercial software dissociated six emotions according to the FACS demonstrating that defining visual features were present. Our findings show that East Asians perceive a different dimensionality of emotions than Western-based definitions in face recognition software, regardless of age and sex. Critically, stimuli with detailed cultural norms are indispensable in interpreting neural and behavioral responses involving human facial expression processing. To this end, we add to the tools, which are available upon request, for conducting such research. (shrink)

The requirement for anthropocentric, or human-centred decision support is outlined, and the IDIOMS management information tool, which implements several human-centred principles, is described. IDIOMS provides a flexible decision support environment in which applications can be modelled using both ‘objective’ database information, and user-centred ‘subjective’ and contextual information. The system has been tested on several real applications, demonstrating its power and flexibility.

Teaching and research are organised differently between subject domains: attempts to construct typologies of higher education institutions, however, often do not include quantitative indicators concerning subject mix which would allow systematic comparisons of large numbers of higher education institutions among different countries, as the availability of data for such indicators is limited. In this paper, we present an exploratory approach for the construction of such indicators. The database constructed in the AQUAMETH project, which includes also data disaggregated at the disciplinary (...) level, is explored with the aim of understanding patterns of subject mix. For six European countries, an exploratory and descriptive analysis of staff composition divided in four large domains (medical sciences, engineering and technology, natural sciences and social sciences and humanities) is performed, which leads to a classification distinguishing between specialist and generalist institutions. Among the latter, a further distinction is made based on the presence or absence of a medical department. Preliminary exploration of this classification and its comparison with other indicators show the influence of long term dynamics on the subject mix of individual higher education institutions, but also underline disciplinary differences, for example regarding student to staff ratios, as well as national patterns, for example regarding the number of PhD degrees per 100 undergraduate students. Despite its many limitations, this exploratory approach allows defining a classification of higher education institutions that accounts for a large share of differences between the analysed higher education institutions. (shrink)

Human skin detection is an essential phase in face detection and face recognition when using color images. Skin detection is very challenging because of the differences in illumination, differences in photos taken using an assortment of cameras with their own characteristics, range of skin colors due to different ethnicities, and other variations. Numerous methods have been used for human skin color detection, including the Gaussian model, rule-based methods, and artificial neural networks. In this article, we introduce a novel (...) technique of using the neural network to enhance the capabilities of skin detection. Several different entities were used as inputs of a neural network, and the pros and cons of different color spaces are discussed. Also, a vector was used as the input to the neural network that contains information from three different color spaces. The comparison of the proposed technique with existing methods in this domain illustrates the effectiveness and accuracy of the proposed approach. Tests were done on two databases, and the results show that the neural network has better precision and accuracy rate, as well as comparable recall and specificity, compared with other methods. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:The Human Genome ProjectSharon J. Durfy (bio) and Amy E. Grotevant (bio)In recent years, scientists throughout the world have embarked upon a long-term biological investigation that promises to revolutionize the decisions people make about their lives and lifestyles, the way doctors practice medicine, how scientists study biology, and the way we think of ourselves as individuals and as a species. It is called the Human Genome Project, (...) and its ultimate goal is to map and determine the chemical sequence of the three billion nucleotide base pairs that comprise the human genome. The feat is expected to take about fifteen years (see General Surveys).These three billion base pairs include an estimated 50,000 to 100,000 genes. The rest of the genome—perhaps 95 percent of it—is nongenic sequences with unknown function, sometimes called "junk." Determining the order and organization of all this material has been likened to tearing six volumes of the Encyclopaedia Brittanica into pieces, then trying to put it all back together to read the information (Surveys: Hall 1990). The effort could be well worth it, many scientists say, because it is expected to yield major insights into many common and complex diseases, including cancer, cardiovascular disease, and Alzheimer's disease (Debate: Dulbecco 1986; Koshland 1989).The Human Genome Project is not without controversy, however (Debate: Davis 1990; Leder 1990; Rechsteiner 1990). Many scientists fear that funding for it will be diverted from other areas of research, rather than obtained from new funding sources. This has enlivened the debate about the relative value of "big" versus "small" science. Also, the value of undertaking a complete sequencing of the genome has been questioned, especially given the high proportion of non-genic sequences.Advocates of the effort converted many critics by making two alterations in the original plan. Plans were included to simultaneously determine the nucleotide sequence of the genomes of other organisms; this provides comparisons and points of reference for the human sequence (U.S.: NIH/DOE 1990). Second, in response to concerns about the high cost of developing technology to sequence the whole [End Page 347] genome, the focus moved from large-scale sequencing to mapping the genome, which would hasten the search for disease genes (U.S.: NIH/DOE 1990).The ideal map would be both genetic, locating DNA markers, or signposts, at closely spaced intervals along the chromosomes, and physical, indicating the exact distance between these markers (Map: McKusick 1991). Since 1973, Human Gene Mapping workshops (HGM) have been held at least every two years to locate, compare, and compile genetic markers. This information is published and is accessible through Genome Database at Johns Hopkins University (McKusick 1991). The most recent Human Genome Mapping workshop was held in August 1991, at which the Human Genome Organization (HUGO) began to assume increased responsibility for coordination of the international mapping effort (Surveys: Maddox 1991).Historical Background of the United States EffortThe first serious discussions about sequencing the entire human genome occurred at a workshop at the University of California at Santa Cruz in 1985 (U.S.: Sinsheimer 1989). A second workshop, organized by the U.S. Department of Energy (DOE) and held in March 1986, addressed the feasibility of an organized program (U.S.: DOE 1986). Shortly thereafter, DOE instituted its own genome project (U.S.: DOE 1987). Reports in early 1988 from both the National Research Council (NRC) of the National Academy of Sciences (NAS) and Congress' Office of Technology Assessment (OTA) (U.S.: NRC 1988; OTA 1988) served as catalysts, and in fiscal year 1988, the U.S. Congress officially launched the Human Genome Project by appropriating funds to both the Department of Energy and the National Institutes of Health (NIH).To avoid potential congressional "meddling" (U.S.: Roberts 1988), NIH and DOE drafted a memorandum of understanding for interagency coordination in October 1988 (U.S.: NIH/DOE 1990). The agencies then created both separate and joint committees, and working groups to administer the project. NIH established the Office of Human Genome Research in 1988 (directed by James D. Watson) to plan and coordinate NIH genome activities. That office has evolved into the National Center for Human Genome Research (NCHGR... (shrink)

Since the human genome was decoded, great emphasis has been placed on the unique, personal nature of the genome, along with the benefits that personalized medicine can bring to individuals and the importance of safeguarding genetic privacy. As a result, an equally important aspect of the human genome – its common nature – has been underappreciated and underrepresented in the ethics literature and policy dialogue surrounding genetics and genomics. This article will argue that, just as the personal nature (...) of the genome has been used to reinforce individual rights and justify important privacy protections, so too the common nature of the genome can be employed to support protections of the genome at a population level and policies designed to promote the public's wellbeing. In order for public health officials to have the authority to develop genetics policies for the sake of the public good, the genome must have not only a common, but also a public, dimension. This article contends that DNA carries a public dimension through the use of two conceptual frameworks: the common heritage framework and the common resource framework. Both frameworks establish a public interest in the human genome, but the CH framework can be used to justify policies aimed at preserving and protecting the genome, while the CR framework can be employed to justify policies for utilizing the genome for the public benefit. A variety of possible policy implications are discussed, with special attention paid to the use of large-scale genomics databases for public health research. (shrink)

This research aims to help create a systematic casualty recording database for the civilian casualties of the Russian aggression within Ukraine. It looks at the definitions surrounding casualty recording and human security to help create a baseline for the project. It examines the Register of the Holodomor Victims, the Bosnian Book of the Dead, the Kosovo Memorial Book, and the casualty recording of Iraq Body Count and the Bouderbala Commission, in terms of their recording systems and public databases. (...) The live project is also informed by the work of Action on Armed Violence (AOAV), the United Nations, Children of War, and the Memorial Platform. (shrink)

Well characterized databases used for experimental purposes with extensive meta-data are essential for conducting meaningful and comparable studies. The Food-pics_extended database is one example for a widely used food stimulus database. Indeed, meta-data on low level and high level image characteristics is broad, yet fiber ratings are not included, limiting its use in diet-related studies. Therefore, we developed fiber ratings per item, based on mean values of four non-expert raters. Ratings show good reliability and meaningful ranges per food type. (...) The newly provided fiber ratings enrich the already valuable database and extend it by an important nutrient value for human and planetary health. (shrink)

Introduction. According to the well-established opinion of specialists in social sciences and humanities, a person diffracts his selves in the modern world: real spaces (professions, statuses) and virtual (accounts, profiles). In the diffraction of a person through spaces of different order, each “new” self acquires relative autonomy (a trace of the self in the network, which is present regardless of the attitude to it), and at the same time there remains the connection that, as it were, keeps the self with (...) his digital images and “prints”. The main questions of the article are: in what relation and in relation to what is it possible to talk about the identity of a modern person; what fundamentally significant do the researches on human identity give us today; what do those who ask questions about personal identity in the digital age focus their attention on? In order to answer these questions, let us turn to scientific articles from domestic and foreign journals. This article presents the analytics of publications from Scopus and RSCI databases, in which the problem of personal identity is posed. The purpose of the article is to analyze scientific publications on human identity and summarize the main ideas presented in those publications. Methods. The research is based on general scientific methods, analysis and synthesis, induction, deduction, and abstraction. The author analyzes scientific publications on the basis of the interpretation method and a systematic approach method. Content analysis was used as a method, but it was used within the scope of the purpose. The publications were selected on the basis of the authors’ research of various aspects of identity and the difference in interpreting the phenomenon. Results. Analysis of Scopus publications made it possible to assert that the problem of identity is moving out of the anthropological context and acquiring new technical and technological frameworks (for example, scholars are raising the problem of the digital data identity, digital identification in the context of online transactions). At the same time, the anthropological view of identity remains. It is found for instance in the context of narratives, texts of a person about self that are posted on the Internet. In this context, the concept of “Person Life View” (M. Schechtman) is presented as a variant of a person’s holistic view of the self. The analysis of domestic publications makes it possible to conclude that representatives of social sciences and humanities in their research strive to overcome the dynamic view of a person (dissolving of identity or an absent self), are in search of models of “stability” of identity. Conclusion. Posing the question about the personal identity of a modern person, it seems that the border between the directly human (consciousness and body, for example) and the technical and technological (the Internet and the objective world) is becoming more and more destabilized every day. This predetermines the direction of the research. Contemporary scholars, who publish the results of their work in journals included in scientific databases, are faced not only with the problem of substantiating human identity as a theoretical concept that reflects the modern situation, but also with the problem of finding models in which a person is able to embody the idea of “stability” of identity in the everyday life. (shrink)

Facial expressions of emotion play an important role in human social interactions. However, posed expressions of emotion are not always the same as genuine feelings. Recent research has found that facial expressions are increasingly used as a tool for understanding social interactions instead of personal emotions. Therefore, the credibility assessment of facial expressions, namely, the discrimination of genuine (spontaneous) expressions from posed (deliberate/volitional/deceptive) ones, is a crucial yet challenging task in facial expression understanding. With recent advances in computer vision (...) and machine learning techniques, rapid progress has been made in recent years for automatic detection of genuine and posed facial expressions. This paper presents a general review of the relevant research, including several spontaneous vs. posed (SVP) facial expression databases and various computer vision based detection methods. In addition, a variety of factors that will influence the performance of SVP detection methods are discussed along with open issues and technical challenges in this nascent field. (shrink)

The HRAF databases, eHRAF World Cultures and eHRAF Archaeology, each containing large corpora of curated text subject-indexed at the paragraph-level by anthropologists, were designed to facilitate rapid retrieval of information. The texts describe social and cultural life in past and present societies around the world. As of the spring of 2018, eHRAF contains almost three million indexed “paragraph” units from over 8000 documents describing over 400 societies and archaeological traditions. This chapter first discusses concrete problems of scale resulting from (...) large numbers of complex elements retrieved by any given search. Second, we discuss potential and partial solutions that resolve these problems to advance research, whether based on specific hypotheses, classification or identifying and evaluating embedded patterns of relationships. Third, we discuss new kinds of research possibilities that can be further advanced, have not yet been successfully attempted, or have not even been considered using anthropological data because of scale and complexity of achieving a result. (shrink)

Significant scientific and technological advances in intensive care have been made. However, patients in the intensive care unit may experience discomfort, loss of control, and surreal experiences. This has generated relevant debates about how to humanize the intensive care units and whether humanization is necessary at all. This paper aimed to explore how humanizing intensive care is described in the literature. A scoping review was performed. Studies published between 01.01.1999 and 02.03.2020 were identified in the CINAHL, Embase, PubMed, and Scopus (...) databases. After removing 185 duplicates, 363 papers were screened by title and abstract. Full-text screening of 116 papers led to the inclusion of 68 papers in the review based on the inclusion criteria; these papers mentioned humanizing or dehumanizing intensive care in the title or abstract. Humanizing care was defined as holistic care, as a general attitude of professionals toward patients and relatives and an organizational ideal encompassing all subjects of the healthcare system. Technology was considered an integral component of intensive care that must be balanced with caring for the patient as a whole and autonomous person. This holistic view of patients and relatives could ameliorate the negative effects of technology. There were geographical differences and the large number of studies from Spain and Brazil reflect the growing interest in humanizing intensive care in these particular countries. In conclusion, a more holistic approach with a greater emphasis on the individual patient, relatives, and social context is the foundation for humanizing intensive care, as reflected in the attitudes of nurses and other healthcare professionals. Demands for mastering technology may dominate nurses’ attention toward patients and relatives; therefore, humanized intensive care requires a holistic attitude from health professionals and organizations toward patients and relatives. Healthcare organizations, society, and regulatory frameworks demanding humanized intensive care may enforce humanized intensive care. (shrink)

Symmetry in biological and physical systems is a product of self-organization driven by evolutionary processes, or mechanical systems under constraints. Symmetry-based feature extraction or representation by neural networks may unravel the most informative contents in large image databases. Despite significant achievements of artificial intelligence in recognition and classification of regular patterns, the problem of uncertainty remains a major challenge in ambiguous data. In this study, we present an artificial neural network that detects symmetry uncertainty states in human observers. (...) To this end, we exploit a neural network metric in the output of a biologically inspired Self- Organizing Map Quantization Error (SOM-QE). Shape pairs with perfect geometry mirror symmetry but a non-homogenous appearance, caused by local variations in hue, saturation, or lightness within and/or across the shapes in a given pair produce, as shown here, a longer choice response time (RT) for “yes” responses relative to symmetry. These data are consistently mirrored by the variations in the SOM-QE from unsupervised neural network analysis of the same stimulus images. The neural network metric is thus capable of detecting and scaling human symmetry uncertainty in response to patterns. Such capacity is tightly linked to the metric’s proven selectivity to local contrast and color variations in large and highly complex image data. (shrink)