1.  68
    Statistical Power, the Belmont Report, and the Ethics of Clinical Trials.Sara H. Vollmer & George Howard - 2010 - Science and Engineering Ethics 16 (4):675-691.
    Achieving a good clinical trial design increases the likelihood that a trial will take place as planned, including that data will be obtained from a sufficient number of participants, and the total number of participants will be the minimal required to gain the knowledge sought. A good trial design also increases the likelihood that the knowledge sought by the experiment will be forthcoming. Achieving such a design is more than good sense—it is ethically required in experiments when participants are at (...)
    Direct download (3 more)  
    Export citation  
    Bookmark   3 citations  
  2.  24
    Generalizing on Best Practices in Image Processing: A Model for Promoting Research Integrity: Commentary On: Avoiding Twisted Pixels: Ethical Guidelines for the Appropriate Use and Manipulation of Scientific Digital Images.Dale J. Benos & Sara H. Vollmer - 2010 - Science and Engineering Ethics 16 (4):669-673.
    Modifying images for scientific publication is now quick and easy due to changes in technology. This has created a need for new image processing guidelines and attitudes, such as those offered to the research community by Doug Cromey (Cromey 2010). We suggest that related changes in technology have simplified the task of detecting misconduct for journal editors as well as researchers, and that this simplification has caused a shift in the responsibility for reporting misconduct. We also argue that the concept (...)
    Direct download (3 more)  
    Export citation  
    Bookmark   1 citation  
  3.  21
    Editors' Overview: Topics in the Responsible Management of Research Data.Joe Giffels, Sara H. Vollmer & Stephanie J. Bird - 2010 - Science and Engineering Ethics 16 (4):631-637.
    Responsible data management is a multifaceted topic involving standards within the research community regarding research design and the sharing of data as well as the collection, selection, analysis and interpretation of data. Transparency in the manipulation of images is increasingly important in order to avoid misrepresentation of research findings, and research oversight is also critical in helping to assure the integrity of the research process. Intellectual property issues both unite and divide academe and industry in their approaches to data management. (...)
    Direct download (5 more)  
    Export citation