Since digital forensics becomes more and more popular, more and more attention has been paid to the originality and validity of data, and data preservation technology emerges as the times require. However, the current data preservation models and technologies are only the combination of cryptography technology, and there is a risk of being attacked and cracked. And in the process of data preservation, human participation is also needed, which may lead to data (...) tampering. To solve problems given, this paper presents a data preservation model based on blockchain and multidimensional hash. With the decentralization and smart contract characteristics of blockchain, data can be automatically preserved without human participation to form a branch chain of custody in the unit of case, and blockchain has good antiattack performance, which is the so-called 51% attack. Meanwhile, in order to solve the problem of data confusion and hard to query caused by the excessive number of cases, hash, cryptography, and timestamps are used to form a serialized main chain of custody. Because of the confliction problem of hash and judicial trial needs to absolutely guarantee the authenticity and validity of data, multidimensional hash is used to replace regular hash. In this way, the data preservation becomes an automatic, nonhuman-interventional process. Experiments have been carried out to show the security and effectiveness of the proposed model. (shrink)

Many of our spoken languages are endangered and rapidly becoming extinct. Due to this, there are attempts to preserve as many of those languages as possible. One preservation approach is combining data collection and artificial intelligence‐based language models. However, current data collection methods may only capture static data from a dynamic cognitive process. If data are not genuinely capturing the dynamic process, it raises questions about whether they capture all the essential knowledge about how a (...) language functions. Here, we discuss the implications of this issue and its importance in preserving endangered languages. (shrink)

With the development of mobile communication technology, location-based services are booming prosperously. Meanwhile privacy protection has become the main obstacle for the further development of LBS. The k-nearest neighbor search is one of the most common types of LBS. In this paper, we propose an efficient private circular query protocol with high accuracy rate and low computation and communication cost. We adopt the Moore curve to convert two-dimensional spatial data into one-dimensional sequence and encrypt the points of interest information (...) with the Brakerski-Gentry-Vaikuntanathan homomorphic encryption scheme for privacy-preserving. The proposed scheme performs the secret circular shift of the encrypted POIs information to hide the location of the user without a trusted third party. To reduce the computation and communication cost, we dynamically divide the table of the POIs information according to the value of k. Experiments show that the proposed scheme provides high accuracy query results while maintaining low computation and communication cost. (shrink)

The processing of sensitive information in the health field is subject to rigorous standards that guarantee the protection of information confidentiality. Recently, the Italian Data Protection Authority (Garante per la Protezione dei Dati Personali) stated their formal opinion on a standard procedure in dental offices involving the submission of a questionnaire that includes the patient's health status. HIV infection status is included on the form. The Authority has stated that all health data collection must be in accordance with (...) the current Italian normative framework for personal data protection and respect the patient's freedom. This freedom allows the patient to decide, in a conscious and responsible way, whether to share health information with health personnel without experiencing any prejudice in the provision of healthcare requested. Moreover, data collection must be relevant and cannot exceed the principles of treatment goals with reference to the specific care of the concerned person. However, the need for recording information regarding HIV infection at the first appointment, regardless of the clinical intervention or therapeutic plan that needs to be conducted, should not alter the standard protection measures of the healthcare staff. In fact, these measures are adopted for every patient. (shrink)

Robert John Ackermann deals decisively with the problem of relativism that has plagued post-empiricist philosophy of science. Recognizing that theory and data are mediated by data domains (bordered data sets produced by scientific instruments), he argues that the use of instruments breaks the dependency of observation on theory and thus creates a reasoned basis for scientific objectivity. Originally published in 1985. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from (...) the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905. (shrink)

A discussion of lessons learned in the first months of the COVID-19 pandemic which allowed data safety monitoring boards (DSMBs) to continue their work protecting the interests of human research participants while preserving research studies.

With the increasing volume of web services in the cloud environment, Collaborative Filtering- based service recommendation has become one of the most effective techniques to alleviate the heavy burden on the service selection decisions of a target user. However, the service recommendation bases, that is, historical service usage data, are often distributed in different cloud platforms. Two challenges are present in such a cross-cloud service recommendation scenario. First, a cloud platform is often not willing to share its data (...) to other cloud platforms due to privacy concerns, which decreases the feasibility of cross-cloud service recommendation severely. Second, the historical service usage data recorded in each cloud platform may update over time, which reduces the recommendation scalability significantly. In view of these two challenges, a novel privacy-preserving and scalable service recommendation approach based on SimHash, named SerRecSimHash, is proposed in this paper. Finally, through a set of experiments deployed on a real distributed service quality dataset WS-DREAM, we validate the feasibility of our proposal in terms of recommendation accuracy and efficiency while guaranteeing privacy-preservation. (shrink)

Seeking to preserve electronically encoded evidence implies that an incident or event has occurred requiring fact extrapolation for presentation, as proof of an irregularity or illegal act. Whether target data are in transit or at rest, it is critical that measures be in place to prevent the sought information from being destroyed, corrupted or becoming unavailable for forensic investigation.

Intelligent Transportation Systems are expected to automate how parking slots are booked by trucks. The intrinsic dynamic nature of this problem, the need of explanations and the inclusion of private data justify an agent-based solution. Agents solving this problem act with a Believe Desire Intentions reasoning, and are implemented with JASON. Privacy of trucks becomes protected sharing a list of parkings ordered by preference. Furthermore, the process of assigning parking slots takes into account legal requirements on breaks and driving (...) time limits. Finally, the agent simulations use the distances, the number of trucks and parkings corresponding to the proportions of the current European Union data. The performance of the proposed solution is tested in these simulations with three different distances against an alternative with complete knowledge. The difference in efficiency, the number of illegal breaks and the traveled distances are measured in them. Comparing the results, we can conclude that the nonprivate alternative is slightly better in performance while both alternatives do not produce illegal breaks. In this way the simulations show that the proposed privacy protection does not impose a relevant handicap in efficiency. (shrink)

The development and application of artificial intelligence (AI) technology has raised many concerns about privacy violations in the public. Thus, privacy-preserving computation technologies (PPCTs) have been developed, and it is expected that these new privacy protection technologies can solve the current privacy problems. By not directly using raw data provided by users, PPCTs claim to protect privacy in a better way than their predecessors. They still have technical limitations, and considerable research has treated PPCTs as a privacy-protecting tool and (...) focused on possible technical improvements. In this article, we argue that PPCTs cannot effectively protect privacy in the narrow sense due to their technical limitations. Moreover, although these shortcomings could be remedied, they still fall into a paradox because their aim is to protect privacy, but they could reveal private information from users. This paradox of privacy protection not only aggravates the social impact arising from AI privacy issues but may also make the current privacy protection lose its meaning, resulting in a situation in which privacy protection is useless. (shrink)

Prolonged conflict on the southern Thailand border still continues, especially in four provinces – Pattani, Yala, Narathivat, and Satun. These four provinces are the home base of the Malay-Muslim community. However, conflicts have almost never occurred in the province of Phattalung, particularly in the region called ‘Two Religion Community Life’. This is because people can find solutions to every problem using cultural negotiation. This research aims to describe the results of cultural negotiation and social learning between Muslims and Buddhists in (...) solving daily life problems. The most important data collection techniques are in-depth interviews and observations. There are five critical informants chosen purposively: Islamic and Buddhist religious leaders, community leaders, school principals, and community members in the Tamot and Khaocan regions. The results found that there are several forms of cultural negotiation in Phattalung, including annual ritual prayers conducted together by Muslims and Buddhists, agreement on how to slaughter animals to be served during ceremonies, tradition of food bartering, and agreement on animal caring. Furthermore, social learning to preserve the results of the negotiations is carried out through the establishment of voluntary medical groups whose members consist of young men and women from the Muslim and the Buddhist community, sports and arts activities, commemorations of national holidays, and conducting annual religious rituals at the same place and time. This study also found four important aspects to strengthen the social learning in multireligious society – moderate values derived from their respective religious teachings, moderate values taught by the country, the existence of trust among citizens, and win-win solutions to the emerging problems. Contribution: This research promotes the world that there is a heterogeneous religious community in the Phattalung province, Thailand which has a building construction of tolerance and harmony of locality namely the ‘Two Religion Community Life’ by preserving the cultural negotiation values through social learning. (shrink)

The increasing availability of personal data of a sequential nature, such as time-stamped transaction or location data, enables increasingly sophisticated sequential pattern mining techniques. However, privacy is at risk if it is possible to reconstruct the identity of individuals from sequential data. Therefore, it is important to develop privacy-preserving techniques that support publishing of really anonymous data, without altering the analysis results significantly. In this paper we propose to apply the Privacy-by-design paradigm for designing a technological (...) framework to counter the threats of undesirable, unlawful effects of privacy violation on sequence data, without obstructing the knowledge discovery opportunities of data mining technologies. First, we introduce a k-anonymity framework for sequence data, by defining the sequence linking attack model and its associated countermeasure, a k-anonymity notion for sequence datasets, which provides a formal protection against the attack. Second, we instantiate this framework and provide a specific method for constructing the k-anonymous version of a sequence dataset, which preserves the results of sequential pattern mining, together with several basic statistics and other analytical properties of the original data, including the clustering structure. A comprehensive experimental study on realistic datasets of process-logs, web-logs and GPS tracks is carried out, which empirically shows how, in our proposed method, the protection of privacy meets analytical utility. (shrink)

We present the design of a secure and privacy preserving e-petition system that we have implemented as a proof-of-concept demonstrator. We use the Belgian e-ID card as source of authentication, and then proceed to issue an anonymous credential that is used to sign petitions. Our system ensures that duplicate signatures are detectable, while preserving the anonymity of petition signers. We analyze the privacy and security requirements of our application, present an overview of its architecture, and discuss the applicability of (...) class='Hi'>data protection legislation to our system. (shrink)

For patients with mental health problems, de-institutionalization has meant a shift from institutional care to living in the community. However, several studies show that problems of stigmatization, loneliness and negative attitudes devalue the dignity and autonomy of these patients. The aim of this study was to gain a deeper understanding of how people with mental health problems experience living in an apartment of their own. The data collection method was focus group interviews. The constant comparative method revealed the main (...) category ‘preserving integrity’. The subcategories were: the need for control over information, similar relationships with both friends and neighbours (symmetrical contact), and ‘My home is my castle’. Participants who lived in a group home had little or no contact with their neighbours. The participants experienced lack of acceptance and loss of autonomy when meeting people. Integrity was a necessary condition in order for them to become equal citizens, experience autonomy and dignity, and have the opportunity to develop social contacts. (shrink)

Background: Enhancing client autonomy requires close coordination of interactional practices between nurse and client, which can cause challenges when interaction takes place in video-mediated settings. While video-mediated services have become more common, it remains unclear how they shape client autonomy in telehomecare. Research aim: To analyse how video mediation shapes client autonomy when nurses guide medicine taking remotely through video-mediated home care. Research design: This is a conversation analytic case study using video recordings of telehomecare encounters. The theoretical approach draws (...) on ethnomethodology and empirical ethics. Participants and research context: Four home-dwelling older adults and three nurses participated in the data collection; data extracts include one client and two nurses. The study was conducted in Finland. Ethical considerations: Special attention was given to protect the rights of home care clients. An ethical statement for the study was given by the Ethics Committee of the Tampere Region Findings: Video mediation complicates interacting remotely with care-relevant artefacts because of nurses’ limited visual access to the medicine and client’s need to simultaneously engage in vocal interaction and medicine taking. This can be overcome by dividing the guidance into manageable steps which invite the client to explicate their readiness to take the medicine and situating the video-mediation equipment and medicine close together. Different interactional practices and ways of situating video-mediation equipment and medicine have consequences for client autonomy. Discussion: Understanding client autonomy in digitalised settings demands empirical examination that recognises the importance of different human and non-human aspects of care that shape client autonomy. Conclusions: To harness the benefits of video-mediated home care, communication technologies’ reliance on home space and interactional practices should be recognised. Empirical ethics research is needed in order to make normative suggestions that fit a wide variety of care situation. (shrink)

Although databases have been well-defined and thoroughly discussed in the computer science literature, the actual users of databases often have varying definitions and expectations of this essential computational infrastructure. Systems administrators and computer science textbooks may expect databases to be instantiated in a small number of technologies, but there are numerous examples of databases in non-conventional or unexpected technologies, such as spreadsheets or other assemblages of files linked through code. Consequently, we ask: How do the materialities of non-conventional databases differ (...) from or align with the materialities of conventional relational systems? What properties of the database do the creators of these artifacts invoke in their rhetoric describing these systems—or in the data models underlying these digital objects? To answer these questions, we conducted a close analysis of four non-conventional scientific databases. By examining the materialities of information representation in each case, we show how scholarly communication regimes shape database materialities—and how information organization paradigms shape scholarly communication. These cases show abandonment of certain constraints of relational database construction alongside maintenance of some key relational data organization strategies. We discuss the implications that these relational data paradigms have for data use, preservation, and sharing, and discuss the need to support a plurality of data practices and paradigms. (shrink)

Though full of promise, Big Data research success is often contingent on access to the newest, most advanced, and often expensive hardware systems and the expertise needed to build and implement such systems. As a result, the accessibility of the growing number of Big Data-capable technology solutions has often been the preserve of business analytics. Pay as you store/process services like Amazon Web Services have opened up possibilities for smaller scale Big Data projects. There is high demand (...) for this type of research in the digital humanities and digital sociology, for example. However, scholars are increasingly finding themselves at a disadvantage as available data sets of interest continue to grow in size and complexity. Without a large amount of funding or the ability to form interdisciplinary partnerships, only a select few find themselves in the position to successfully engage Big Data. This article identifies several notable and popular Big Data technologies typically implemented using large and extremely powerful cloud-based systems and investigates the feasibility and utility of development of Big Data analytics systems implemented using low-cost commodity hardware in basic and easily maintainable configurations for use within academic social research. Through our investigation and experimental case study, we found that not only are solutions like Cloudera’s Hadoop feasible, but that they can also enable robust, deep, and fruitful research outcomes in a variety of use-case scenarios across the disciplines. (shrink)

Virtual heritage has been explained as virtual reality applied to cultural heritage, but this definition only scratches the surface of the fascinating applications, tools and challenges of this fast-changing interdisciplinary field. This book provides an accessible but concise edited coverage of the main topics, tools and issues in virtual heritage. -/- Leading international scholars have provided chapters to explain current issues in accuracy and precision; challenges in adopting advanced animation techniques; shows how archaeological learning can be developed in Minecraft; they (...) propose mixed reality is conceptual rather than just technical; they explore how useful Linked Open Data can be for art history; explain how accessible photogrammetry can be but also ethical and practical issues for applying at scale; provide insight into how to provide interaction in museums involving the wider public; and describe issues in evaluating virtual heritage projects not often addressed even in scholarly papers. -/- The book will be of particular interest to students and scholars in museum studies, digital archaeology, heritage studies, architectural history and modelling, virtual environments. (shrink)

This study conceptualized digital competence in line with self-determined theory and investigated how it alongside help-seeking and learning agency collectively preserved university students’ psychological well-being by assisting them to manage cognitive load and academic burnout, as well as increasing their engagement in online learning during the coronavirus disease 2019 pandemic. Moreover, students’ socioeconomic status and demographic variables were examined. Partial least square modeling and cluster analysis were performed on the survey data collected from 695 students. The findings show that (...) mental load and mental effort were positively related to academic burnout, which was significantly negatively associated with student engagement in online learning. Digital competence did not directly affect academic burnout, but indirectly via its counteracting effect on cognitive load. However, help-seeking and agency were not found to be significantly negatively related to cognitive load. Among the three SDT constructs, digital competence demonstrated the greatest positive influence on student engagement. In addition, female students from humanities and social sciences disciplines and lower-income families seemed to demonstrate the weakest digital competence, lowest learning agency, and least help-seeking behaviors. Consequently, they were more vulnerable to high cognitive load and academic burnout, leading to the lowest learning engagement. This study contributes to the ongoing arguments related to the psychological impact of the COVID-19 pandemic and informs the development of efficient interventions that preserve university students’ psychological well-being in online learning. (shrink)

Unprecedented advances in the ability to store, analyze, and retrieve data is the hallmark of the information age. Along with enhanced capability to identify meaningful patterns in large data sets, contemporary data science renders many classical models of privacy protection ineffective. Addressing these issues through privacy-sensitive design is insufficient because advanced data science is mutually exclusive with preserving privacy. The special privacy problem posed by data analysis has so far escaped even leading accounts of informational (...) privacy. Here, I argue that accounts of privacy must include norms about information processing in addition to norms about information flow. Ultimately, users need the resources to control how and when personal information is processed and the knowledge to make information decisions about that control. While privacy is an insufficient design constraint, value-sensitive design around control and transparency can support privacy in the information age. (shrink)

The fidelity provided by rich, nuanced ethics consult narratives does not proscribe efforts to advance the profession by using data to assess performance and demonstrate value. While these two approaches have been described as in conflict with one another, the former sets the bar to which the latter should aim; to achieve this, consult data should, minimally, do two things: (1) tell the story of the case, as best as possible, in language easily accessible to both ethicists and (...) non-ethicists alike; and (2) do so in a way that elements of interest can be aggregated, disambiguated, and analyzed. Here we present a three-component system designed with that in mind.First, the Armstrong Clinical Ethics Coding System (ACECS) produces a set of six codes that tell a simplified story of the case. These six codes form a meta narrative, which, like meta data, can be aggregated, disambiguated, and analyzed. Second, we use a data model to uncover the stories those data tell. The results allow us to understand relationships, recognize patterns, and reveal insights that are otherwise not discoverable when using narratives alone. Third, due to tremendous heterogeneity among cases, we represent findings visually using techniques borrowed from data storytelling, a powerful means to demonstrate the value of a consult service to administrators and others. The ability to derive meta narratives from an aggregate of case narratives allows us to describe, in detail, the work of our consult service in a manner directly comparable to other services that use the system while we preserve unprecedented case-level nuance. If adopted broadly, this functionality suggests a means to undergird the legitimacy of the ethics consult practice itself in an evidence-based manner similar to that which undergirds other domains of healthcare. (shrink)

BackgroundIncreasingly, hospitals and research institutes are developing technical solutions for sharing patient data in a privacy preserving manner. Two of these technical solutions are homomorphic encryption and distributed ledger technology. Homomorphic encryption allows computations to be performed on data without this data ever being decrypted. Therefore, homomorphic encryption represents a potential solution for conducting feasibility studies on cohorts of sensitive patient data stored in distributed locations. Distributed ledger technology provides a permanent record on all transfers and (...) processing of patient data, allowing data custodians to audit access. A significant portion of the current literature has examined how these technologies might comply with data protection and research ethics frameworks. In the Swiss context, these instruments include the Federal Act on Data Protection and the Human Research Act. There are also institutional frameworks that govern the processing of health related and genetic data at different universities and hospitals. Given Switzerland’s geographical proximity to European Union (EU) member states, the General Data Protection Regulation (GDPR) may impose additional obligations.MethodsTo conduct this assessment, we carried out a series of qualitative interviews with key stakeholders at Swiss hospitals and research institutions. These included legal and clinical data management staff, as well as clinical and research ethics experts. These interviews were carried out with two series of vignettes that focused on data discovery using homomorphic encryption and data erasure from a distributed ledger platform.ResultsFor our first set of vignettes, interviewees were prepared to allow data discovery requests if patients had provided general consent or ethics committee approval, depending on the types of data made available. Our interviewees highlighted the importance of protecting against the risk of reidentification given different types of data. For our second set, there was disagreement amongst interviewees on whether they would delete patient data locally, or delete data linked to a ledger with cryptographic hashes. Our interviewees were also willing to delete data locally or on the ledger, subject to local legislation.ConclusionOur findings can help guide the deployment of these technologies, as well as determine ethics and legal requirements for such technologies. (shrink)

Due to the growth of neo-liberalism with its emphasis on “market-driven courses,” the humanities, of which philosophy is a part, find themselves disparaged and under-funded. As a result, some African philosophers have yielded to the temptation to deploy the empirical methodology of the natural and social sciences in a bid to illustrate the practical value of their discipline, thereby eroding philosophy’s distinctive characteristic, namely, reflection. Consequently, drawing from the contemporary discourse on methodology in African philosophy, this article argues that in (...) order to preserve the distinctive character of their discipline, philosophers who inquire into indigenous African thought ought to treat the collection of empirical data on the subject as a preliminary step to the core task of philosophical reflection that deploys such techniques as criticism, linguistic analysis, and systematic speculation. Only then will African philosophy make its proper contribution to the interdisciplinary field of African studies. (shrink)

We describe a strategy for integration of data that is based on the idea of semantic enhancement. The strategy promises a number of benefits: it can be applied incrementally; it creates minimal barriers to the incorporation of new data into the semantically enhanced system; it preserves the existing data (including any existing data-semantics) in their original form (thus all provenance information is retained, and no heavy preprocessing is required); and it embraces the full spectrum of (...) class='Hi'>data sources, types, models, and modalities (including text, images, audio, and signals). The result of applying this strategy to a given body of data is an evolving Dataspace that allows the application of a variety of integration and analytic processes to diverse data contents. We conceive semantic enhancement (SE) as a lightweight and flexible process that leverages the richness of the structured contents of the Dataspace without adding storage and processing burdens to what, in the intelligence domain, will be an already storage- and processing-heavy starting point. SE works not by changing the data to which it is applied, but rather by adding an extra semantic layer to this data. We sketch how the semantic enhancement approach can be applied consistently and in cumulative fashion to new data and data-models that enter the Dataspace. (shrink)

This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in (...) the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. (shrink)

Digital preservation has significantly expanded over the past few decades, renewing old and creating new challenges related to provenance, integrity, completeness, and context in memory and preservation practices. In this paper we explore how, perhaps counterintuitively, a more extensive digital historical record offers greater opportunities to misrepresent reality. We first review a set of concepts and socio-cultural approaches to memory and preservation. We then focus on the multiplicity of digital memory and preservation practices today, examining their (...) limits, possibilities, and tensions; specifically, we explore the challenges of decontextualized data, personal versus institutional preservation, and?outsider? digital collections that are willingly and/or forcibly excluded from official accounts. Through these discussions, we review examples of what we consider good digital memory and preservation practices that take new approaches to context and collaboration. Lastly, we explore the optimism inherent in seeking to preserve human knowledge over the long term and to make it accessible to all. (shrink)

The emergence of personal assistants in the form of smart speakers has begun to significantly alter people’s everyday experiences with technology. The rate at which household Intelligent Personal Assistants such as Amazon’s Echo and Google Home emerged in household spaces has been rapid. They have begun to move human–computer interaction from text-based to voice-activated input, offering a multiplicity of features through speech. The supporting infrastructure connects with artificial intelligence and the internet of things, allowing digital interfaces with domestic appliances, lighting (...) systems, thermostats, media devices and more. Yet this also constitutes a significant new production of situated and sensitive data. This study focuses on how users negotiate and make choices about household Intelligent Personal Assistant use in connection with their data. This study is based on empirical research in Europe with early adopters in Germany and potential users in the Netherlands. This examination of users’ early stage technology acceptance considerations highlights particular practices and choices of users to either preserve their privacy or determine what is acceptable use for their data. Drawing on a simplified version of Unified Theory of Acceptance and Use of Technology 2, a quantitative model for technology acceptance, we demonstrate how acceptance of a household Intelligent Personal Assistants does not imply access to all household data, how users see usefulness in relation to a proliferation of devices, and note the recognition by users regarding the efforts needed for full use and acceptance. The study highlights the complexity of data production at a household level and how these devices produce myopic views of users for platforms. (shrink)

ArgumentData collections are a hallmark of nineteenth-century administrative knowledge making, and they were by no means confined to Europe. All colonial empires transferred and translated these techniques of serialised and quantified information gathering to their dominions overseas. The colonial situation affected the encounters underlying vital statistics, enquête methods and land surveying. In this paper, two of those data collections will be investigated—a survey on land and a survey on indigenous law, both conducted around 1910 on the Micronesian island of (...) Pohnpei, which had fallen under German colonial influence a decade earlier. Strikingly, there are no enumerators or envoys of the state visiting the doorsteps of Pohnpei. To facilitate the data collection on homesteads, the whole population of the island was called upon to measure their respective plots of land themselves, without resorting to certified land surveyors. The preserved cadastral lists and spreadsheets testify to a rather peculiar contact between the colonizing administration and the colonized peoples. I argue that the production of data made encounters necessary, which are best observed though a methodological focus on data practices. I argue, furthermore, that the Pohnpeians were prompted during the surveys to define their homestead in new terms. This did not only entail new two-dimensional plots but also a new regime of private property. The change in the legal concept can be seen as a continuation of colonial violence by other means, given that it happened in the aftermath of the defeated Pohnpei Rebellion. The argument of the paper is, therefore, that data collection can have formative effects on society, and that measurement and quantified information are often, as Witold Kula argued, a scene of conflict. At its core, the installation of these metric regimes signified a change in patterns of justification, resource management and the unwritten constitution of the Pacific island. (shrink)

This paper addresses the always online behavior of the data owner in proxy re- encryption schemes for re-encryption keys issuing. We extend and adapt multi-authority ciphertext policy attribute based encryption techniques to type-based proxy re-encryption to build our solution. As a result, user authentication and user authorization are moved to the cloud server which does not require further interaction with the data owner, data owner and data users identities are hidden from the cloud server, and re-encryption (...) keys are only issued to legitimate users. An in depth analysis shows that our scheme is secure, flexible and efficient for mobile cloud computing. (shrink)

In June 2021, Missouri passed the “Second Amendment Preservation Act” (SAPA). Though SAPA passed easily and had gubernatorial support, many Missouri law enforcement agencies, including the Missouri Sheriff’s Association, oppose it. Missing from this policy conversation, and deserving of analysis, is the voice of Missouri citizens. Using qualitative interview data and survey data, we explored what if anything Missouri gun owners knew about SAPA and what they perceived its effects would be on gun-related murders, suicides, gun thefts, (...) and mass shootings. Most Missouri gun owners had not heard about SAPA and were ambivalent about its potential effect on gun safety outcomes. Our findings also indicate that respondents’ attitudes toward SAPA and the impact of such policy on safety is driven by gun ownership (i.e., primary versus living in a household with firearms), partisan identification, and attitudes toward government firearm regulation. (shrink)

Linkage of population-based administrative data is a valuable tool for combining detailed individual-level information from different sources for research. While not a substitute for classical studies based on primary data collection, analyses of linked administrative data can answer questions that require large sample sizes or detailed data on hard-to-reach populations, and generate evidence with a high level of external validity and applicability for policy making. There are unique challenges in the appropriate research use of linked administrative (...) data, for example with respect to bias from linkage errors where records cannot be linked or are linked together incorrectly. For confidentiality and other reasons, the separation of data linkage processes and analysis of linked data is generally regarded as best practice. However, the ‘black box’ of data linkage can make it difficult for researchers to judge the reliability of the resulting linked data for their required purposes. This article aims to provide an overview of challenges in linking administrative data for research. We aim to increase understanding of the implications of the data linkage environment and privacy preservation; the linkage process itself and linkage quality and potential bias in linked data. We draw on examples from a number of countries to illustrate a range of approaches for data linkage in different contexts. (shrink)

BackgroundThe rise of Big Data-driven health research challenges the assumed contribution of medical research to the public good, raising questions about whether the status of such research as a common good should be taken for granted, and how public trust can be preserved. Scandals arising out of sharing data during medical research have pointed out that going beyond the requirements of law may be necessary for sustaining trust in data-intensive health research. We propose building upon the use (...) of a social licence for achieving such ethical governance.Main textWe performed a narrative review of the social licence as presented in the biomedical literature. We used a systematic search and selection process, followed by a critical conceptual analysis. The systematic search resulted in nine publications. Our conceptual analysis aims to clarify how societal permission can be granted to health research projects which rely upon the reuse and/or linkage of health data. These activities may be morally demanding. For these types of activities, a moral legitimation, beyond the limits of law, may need to be sought in order to preserve trust. Our analysis indicates that a social licence encourages us to recognise a broad range of stakeholder interests and perspectives in data-intensive health research. This is especially true for patients contributing data. Incorporating such a practice paves the way towards an ethical governance, based upon trust. Public engagement that involves patients from the start is called for to strengthen this social licence.ConclusionsThere are several merits to using the concept of social licence as a guideline for ethical governance. Firstly, it fits the novel scale of data-related risks; secondly, it focuses attention on trustworthiness; and finally, it offers co-creation as a way forward. Greater trust can be achieved in the governance of data-intensive health research by highlighting strategic dialogue with both patients contributing the data, and the public in general. This should ultimately contribute to a more ethical practice of governance. (shrink)

Decisions based on algorithmic, machine learning models can be unfair, reproducing biases in historical data used to train them. While computational techniques are emerging to address aspects of these concerns through communities such as discrimination-aware data mining and fairness, accountability and transparency machine learning, their practical implementation faces real-world challenges. For legal, institutional or commercial reasons, organisations might not hold the data on sensitive attributes such as gender, ethnicity, sexuality or disability needed to diagnose and mitigate emergent (...) indirect discrimination-by-proxy, such as redlining. Such organisations might also lack the knowledge and capacity to identify and manage fairness issues that are emergent properties of complex sociotechnical systems. This paper presents and discusses three potential approaches to deal with such knowledge and information deficits in the context of fairer machine learning. Trusted third parties could selectively store data necessary for performing discrimination discovery and incorporating fairness constraints into model-building in a privacy-preserving manner. Collaborative online platforms would allow diverse organisations to record, share and access contextual and experiential knowledge to promote fairness in machine learning systems. Finally, unsupervised learning and pedagogically interpretable algorithms might allow fairness hypotheses to be built for further selective testing and exploration. Real-world fairness challenges in machine learning are not abstract, constrained optimisation problems, but are institutionally and contextually grounded. Computational fairness tools are useful, but must be researched and developed in and with the messy contexts that will shape their deployment, rather than just for imagined situations. Not doing so risks real, near-term algorithmic harm. (shrink)

One of the fundamental roles of memory organisations is to safe-keep collections and this includes activities around their preservation and conservation. Conservators produce documentation records of their work to assist future interpretation of objects and to explain decision making for conservation. This documentation may exist as structured data or free text and in both cases they require vocabularies that can be understood widely in the domain. This paper describes a survey of conservation professionals which allowed us to compile (...) the vocabularies used in the domain. It includes an analysis of the vocabularies with key findings: a) the overlapping terms with multiple definitions, b) the partial coverage of the domain which is lacking controlled vocabularies for condition types and treatment techniques and c) the limited formats in which vocabularies are published, making them difficult to use within Linked Data implementations. The paper then describes an approach to improve the vocabulary landscape in conservation by providing guidelines for encoding and aligning vocabularies as well as considering third party platforms for sharing vocabularies in a sustainable way. The paper concludes with a summary of our findings and recommendations. (shrink)

Deficiencies or unclear statements in consent forms used for research with human participants may lead to publicly-funded research data being unsuitable for sharing with other researchers. Long-term data use is encouraged or required by many of the UK research councils and other funding bodies. Researchers may fail to address long-term use and sharing of data when obtaining informed consent and when arranging to keep data obtained from participants confidential. Sharing data should not compromise confidentiality if (...) care is taken to anonymize information where this is needed or has been explicitly requested. Whilst researchers should consider all potential uses of their research data in confidentiality and consent agreements, research ethics committees can provide better guidance by pointing out to researchers that long-term use, preservation and sharing of research data should be taken into account when informing participants and obtaining their consent. (shrink)

Excerpt from On Mr. Spencer's Data of Ethics This volume completes the critical examination of Mr. Spencer's system of Philosophy already pursued through two previous volumes entitled respectively "On Mr. Spencer's Formula of Evolution," and "On Mr. Spencer's Unification of Knowledge." The entire task has been undertaken by a student for the use of students. It cannot be of much use to the general reader, as it presumes and indeed requires a very intimate knowledge of Mr. Spencer's works. For (...) those who do not wish to enter into detailed examination perhaps Chapter I. of the "Unification of Knowledge" will afford a good epitome of the line of criticism; and this may be followed, if desired, by a perusal of the "Formula of Evolution." About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works. (shrink)

In this contribution, we will discuss the opportunities and challenges arising from memory institutions' need to redefine their archival strategies for contemporary collecting in a world of big data. We will reflect on this topic by critically examining the case study of the UK Web Archive, which is made up of the six UK Legal Deposit Libraries: the British Library, National Library of Scotland, National Library of Wales, Bodleian Libraries Oxford, Cambridge University Library and Trinity College Dublin. The UK (...) Web Archive aims to archive, preserve and give access to the UK web space. This is achieved through an annual domain crawl, first undertaken in 2013, in addition to more frequent crawls of key websites and specially curated collections which date back as far as 2005. These collections reflect important aspects of British culture and events that shape society. This commentary will explore a number of questions including: what heritage is captured and what heritage is instead neglected by the UK Web archive? What heritage is created in the form of new data and what are its properties? What are the ethical issues that memory institutions face when developing these web archiving practices? What transformations are required to overcome such challenges and what institutional futures can we envisage? (shrink)

The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the “phase 2” of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by the app are all sent to a nation-wide server, raises concerns about citizens’ (...) privacy and needlessly strong digital surveillance, thus alerting us to the need to minimize personal data collection and avoiding location tracking. We advocate the conceptual advantage of a decentralized approach, where both contact and location data are collected exclusively in individual citizens’ “personal data stores”, to be shared separately and selectively, voluntarily, only when the citizen has tested positive for COVID-19, and with a privacy preserving level of granularity. This approach better protects the personal sphere of citizens and affords multiple benefits: it allows for detailed information gathering for infected people in a privacy-preserving fashion; and, in turn this enables both contact tracing, and, the early detection of outbreak hotspots on more finely-granulated geographic scale. The decentralized approach is also scalable to large populations, in that only the data of positive patients need be handled at a central level. Our recommendation is two-fold. First to extend existing decentralized architectures with a light touch, in order to manage the collection of location data locally on the device, and allow the user to share spatio-temporal aggregates—if and when they want and for specific aims—with health authorities, for instance. Second, we favour a longer-term pursuit of realizing a Personal Data Store vision, giving users the opportunity to contribute to collective good in the measure they want, enhancing self-awareness, and cultivating collective efforts for rebuilding society. (shrink)

This book is about power and freedoms in our technological world and has two main objectives. The first is to demonstrate that a theoretical exploration of the algorithmic governmentality hypothesis combined with the capability approach is useful for a better understanding of power and freedoms in Ambient Intelligence, a world where information and communication technologies are invisible, interconnected, context aware, personalized, adaptive to humans and act autonomously. The second is to argue that these theories are useful for a better comprehension (...) of privacy and data protection concepts and the evolution of their regulation. Having these objectives in mind, the book outlines a number of theses based on two threads: first, the elimination of the social effects of uncertainty and the risks to freedoms and, second, the vindication of rights. Inspired by and building on the outcomes of different philosophical and legal approaches, this book embodies an effort to better understand the challenges posed by Ambient Intelligence technologies, opening paths for more effective realization of rights and rooting legal norms in the preservation of the potentiality of human capabilities. (shrink)

Trees belong to humanity’s heritage, but they are more than that. Their loss, through catastrophic fires or under business-as-usual, is devastating to many forms of life. Moved by this fact, we begin with an assertion that heritage can have an active role in the design of future places. Written from within the field of architecture, this article focuses on structures that house life. Habitat features of trees and artificial replacement habitats for arboreal wildlife serve as concrete examples. Designs of such (...) habitats need to reflect behaviours, traditions and cultures of birds, bats, and other animals. Our narrative highlights the nonhuman aspect of heritage, seeking to understand how nonhuman stakeholders can act as users and consumers of heritage and not only as its constituents. Our working definition states that more-than-human heritage encompasses tangible and intangible outcomes of historical processes that are of value to human as well as nonhuman stakeholders. From this basis, the article asks how the established notions of heritage can extend to include nonhuman concerns, artefacts, behaviours and cultures. As a possible answer to this question, the hypothesis tested here is that digital information can (1) contribute to the preservation of more-than-human heritage; and (2) illuminate its characteristics for future study and use. This article assesses the potential of three imaging technologies and considers the resulting data within the conceptual framework of more-than-human heritage, illuminating some of its concrete aspects and challenges. (shrink)

Many preventive intervention studies with adolescents address high-risk behaviors such as drug and alcohol use, and unprotected sex. Randomized controlled trials (RCT) are the gold standard methodology used to test the effectiveness of these behavioral interventions. Interventions outside the rigidly described protocol are prohibited. However, there are ethical challenges to implementing inflexible intervention protocols, especially when the target population is young, experiences many stressful events, and lives in a resource-poor environment. Teens who are at high risk for substance use or (...) sexual risk behaviors tend to be at risk for other problems such as exposure to violence, sexual and physical abuse, depression, and homelessness. How should investigators deal with the psychological and social needs of teenagers in prevention programs in an ethically appropriate way and at the same time preserve the validity of RCT results? We have identified program characteristics, participant characteristics, interaction with parents, and problems with adolescents not in the study as sources of ethical dilemmas in RCT with at-risk adolescents. As a result of our experience, we recommend that every behavioral intervention study develop an ethics protocol, which should include rules for providing help to participants, has contact information for experts to provide guidance, and an emergency procedure for dealing with life threatening situations. In addition, studies should have a resource manual, train research staff in these ethical issues, and work with a data safety and monitoring board or ethics committee. (shrink)

Background There is lack of consensus in the bioethics literature regarding the use of cardiopulmonary resuscitation (CPR) for organ-preserving purposes. In this study, we assessed the perspectives of clinicians in critical care settings to better inform donor management policy and practice.Methods An online anonymous survey of members of the Society of Critical Care Medicine that presented various scenarios about CPR for organ preservation.Results The email was sent to 10,340 members. It was opened by 5,416 (52%) of members and 405 (...) members (4%) completed the survey with few missing data. A majority of respondents (81%) answered that donation status should not influence whether CPR is performed on an imminently dying patient. There was very strong agreement (>85%) that 1) CPR should be performed on a registered donor who experiences a cardiac arrest with an unknown code status before death by neurological criteria (DNC) and 2) CPR should be performed if the patient is not a registered donor and experiences cardiac arrest but the surrogate/power of attorney (POA) has not yet been approached regarding code status and donation. When a registered donor with a DNR order experiences cardiac arrest before DNC, 98% of respondents would not perform CPR. However, after DNC, respondents were evenly divided on whether they would (49%) or would not (51%) perform CPR on a registered donor with an undocumented code status. When asked whether consent should be required for CPR for organ-preserving purposes, 39% answered “Yes” when a patient arrests before DNC and 48% answered “Yes” when a patient arrests after DNC (P = 0.2).Conclusions The majority of respondents did not consider donor status relevant to CPR decisions before DNC, and virtually all would respect a DNR order in a registered donor before DNC. Respondents were divided about the need for an affirmative consent for CPR for organ-preserving purposes both before and after DNC. (shrink)

We project the future accumulation of profiles belonging to deceased Facebook users. Our analysis suggests that a minimum of 1.4 billion users will pass away before 2100 if Facebook ceases to attract new users as of 2018. If the network continues expanding at current rates, however, this number will exceed 4.9 billion. In both cases, a majority of the profiles will belong to non-Western users. In discussing our findings, we draw on the emerging scholarship on digital preservation and stress (...) the challenges arising from curating the profiles of the deceased. We argue that an exclusively commercial approach to data preservation poses important ethical and political risks that demand urgent consideration. We call for a scalable, sustainable, and dignified curation model that incorporates the interests of multiple stakeholders. (shrink)

ObjectiveGonadotoxicity is considered one of the most distressing side effects of cancer treatment. Although fertility preservation can be a valid solution, it also involves a challenging process. A clear understanding of the features of women who decide to pursue fertility preservation after cancer diagnosis is missing. The purpose of the present study was therefore to analyze the personality profile of female patients referred to oncofertility prior to gonadotoxic treatment.MethodsFifty-two female cancer patients took part in the study. The Temperament (...) and Character Inventory-Revised, the Response Evaluation Measure-71, the Beck Depression Inventory, and the State-Trait Anxiety Inventory-Y Form were administered to examine personality characteristics, defense mechanisms, depression and anxiety symptoms.ResultsCompared with reference data of the Italian population, our sample reported significantly lower scores in Harm Avoidance and trait anxiety, and significantly higher levels of mature defense mechanisms. Most of the patients reported low scores in immature defense mechanisms, depression, and trait anxiety, and medium scores in state anxiety.ConclusionsOur findings suggest that these women display functional personality traits and defensive style, in association with low levels of depression and trait anxiety. These features may enable a proactive attitude to cancer and the ability to make long-term plans. This may favor psychological adjustment to cancer and a projection toward the future. (shrink)

The medical profession is steeped in traditions that guide its practice. These traditions were developed to preserve the well-being of patients. Transformations in science, technology, and society, while maintaining a self-governance structure that drives the goal of care provision, have remained hallmarks of the profession. The purpose of this paper is to examine ethical challenges in health care as it relates to Big Data, Accountable Care Organizations, and Health Care Predictive Analytics using the principles of biomedical ethics laid out (...) by Beauchamp and Childress. Among these are the use of Electronic Health Records within stipulations of the Health Insurance Portability and Accountability Act. Clinicians are well-positioned to impact health policy development to address ethical issues associated with the use of Big Data, Accountable Care, and Health Care Predictive Analytics as we work to transform the doctor–patient relationship towards improving population health outcomes and creating a healthier society. (shrink)

In this article, we use the theory of Information Ethics to argue that deceased people have a prima facie moral right to privacy in the context of health data research, and that this should be reflected in regulation and guidelines. After death, people are no longer biological subjects but continue to exist as informational entities which can still be harmed/damaged. We find that while the instrumental value of recognising post-mortem privacy lies in the preservation of the social contract (...) for health research, its intrinsic value is grounded in respect for the dignity of the post-mortem informational entity. However, existing guidance on post-mortem data protection is available only in the context of genetic studies. In comparing the characteristics of genetic data and other health-related data, we identify two features of DNA often given as arguments for this genetic exceptionalism: relationality and embodiment. We use these concepts to show that at the appropriate Level of Abstraction, there is no morally relevant distinction between posthumous genetic and other health data. Thus, genetic data should not automatically receive special moral status after death. Instead we make a plea for ‘contextual exceptionalism’. Our analysis concludes by reflecting on a real-world case and providing suggestions for contextual factors that researchers and oversight bodies should take into account when designing and evaluating research projects with health data from deceased subjects. (shrink)

The integrated information theory equates levels of consciousness with the amount of information integrated over the elements that constitute a system. Conscious visual perception provides two observations that contradict the IIT. First, objects are accurately perceived when presented for ≪100 ms during which time no neural integration is possible. Second, an object is seen as an integrated whole and, concurrently, all constituent elements are evident. Because integration destroys information about details, IIT cannot account for perceptual detail preservation.

Big data and Machine learning Techniques are reshaping the way in which food safety risk assessment is conducted. The ongoing ‘datafication’ of food safety risk assessment activities and the progressive deployment of probabilistic models in their practices requires a discussion on the advantages and disadvantages of these advances. In particular, the low level of trust in EU food safety risk assessment framework highlighted in 2019 by an EU-funded survey could be exacerbated by novel methods of analysis. The variety of (...) processed data raises unique questions regarding the interplay of multiple regulatory systems alongside food safety legislation. Provisions aiming to preserve the confidentiality of data and protect personal information are juxtaposed to norms prescribing the public disclosure of scientific information. This research is intended to provide guidance for data governance and data ownership issues that unfold from the ongoing transformation of the technical and legal domains of food safety risk assessment. Following the reconstruction of technological advances in data collection and analysis and the description of recent amendments to food safety legislation, emerging concerns are discussed in light of the individual, collective and social implications of the deployment of cutting-edge Big Data collection and analysis techniques. Then, a set of principle-based recommendations is proposed by adapting high-level principles enshrined in institutional documents about Artificial Intelligence to the realm of food safety risk assessment. The proposed set of recommendations adopts Safety, Accountability, Fairness, Explainability, Transparency as core principles (SAFETY), whereas Privacy and data protection are used as a meta-principle. (shrink)