Research Data Management Initiative helps WRNMMC researchers with managing research data by offering the research lectures about the data-driven research, data intellectual property rights, data protection, ethics and policies, research data management, research data management tools, and research data visualization. Consultations and guidance on writing the Data Management Plan for DoD grants are also offered for WRNMMC researchers.
If you have questions about the research data management and DMP writing for DoD grants, contact informationist, Dr. Tmanova.
Research data is defined as the recorded factual material commonly accepted in the scientific community as necessary to validate research findings, but not any of the following: preliminary analyses, drafts of scientific papers, plans for future research, peer reviews, or communications with colleagues. This 'recorded' material excludes physical objects (e.g., laboratory samples).
2 CFR 200.315 (e), continuing the definition from 2 CFR 215 (OMB Circular A-110)
Data Management Plan (DMP) is a formal document that describes the research data obtained during the intramural and extramural research, intellectual property rights, policies for access and sharing of the research data, policies for re-use, redistribution, derivatives, and plans for archiving and preservation of research data.
DoD Data Management Plan (DMP) is required for each new research activity
Adapted from the DTIC webinar presentation “Public Access: How does it affect me?" Collins, A., February 2017.
Public Access to the Results of Department of Defense-Funded Research.
White House Office of Science and Technology Policy memorandum, "Increasing Access to the Results of Federally Funded Scientific Research," February 22, 2013.
DoD Plan to Establish Public Access to the Results of Federally Funded Research. February, 2015
Data gathered during a research experiments can be analyzed using statistical software, graphical tools, and programming language. Many of these tools are freely available for download from open sources. SPSS is available upon request from the WRNMMC Department of Research Programs.
Kramer, A. D., Guillory, J. E., & Hancock, J. T. (2014). Experimental evidence of massive-scale emotional contagion through social networks. Proceedings of the National Academy of Sciences, 111(24), 8788-8790.
Editorial Expression of Concern: Experimental evidence of massive scale emotional contagion through social networks. (2014). Proceedings of the National Academy of Sciences, 111(29), 10779.
Poor, Nathaniel and Roei Davidson. 2019. “Case Study: The Ethics of Using Hacked Data: Patreon’s Data Hack and Academic Data Standards.” Council for Big Data, Ethics, and Society. Accessed October 10, 2019.
Mehlman, M. J., & Li, T. Y. (2015). Ethical, legal, social, and policy issues in the use of genomic technology by the US military. Case Western Reserve Journal of International Law, 47, 115.
Mehlman, M. J., & Li, T. Y. (2014). Ethical, legal, social, and policy issues in the use of genomic technology by the US Military. Journal of Law and the Biosciences, 1(3), 244-280.
Norrgard, K. (2008). Ethics of genetic testing: medical insurance and genetic discrimination. Nature Education, 1(1).
Otlowski, M. F., Taylor, S. D., & Barlow-Stewart, K. K. (2003). Genetic discrimination: too few data. European Journal of Human Genetics, 11(1), 1.
Ursic, Helena. 2019. “The Right to be Forgotten or the Duty to be Remembered? Twitter data reuse and implications for user privacy.” Council for Big Data, Ethics, and Society. Accessed October 10, 2019.
Darnall Medical Library | Walter Reed NMMC | Building 1, Room 3458 | 8955 Wood Road | Bethesda, MD 20889 | 301-295-1184/85 | Open Monday-Friday, 0700-1730
After-hours access to the library is available to WRNMMC Staff via the CDO at 301-295-4611.