Research Data Management Definition
Research Data Management concerns the organization of data, from its entry into the research lifecycle to the dissemination and archiving of valuable results.
Types of Data
Every discipline has data in some form. The following is a sample list of types of data.
1. Weather measurements
2. Photographs
3. Results from experiments
4. Simulation data
5. Field notes
6. Images (e.g. brain scans)
7. Quantitative data (e.g. household survey data)
8. Historical documents
9. Physical objects: such as bones or blood samples
10. Digitized photos / born digital photos
11. Social media data: tweets
Why this Data Management Guide?
This Data Management Guide is provided as a service to the faculty and students at the University of Tennessee, Knoxville. It is a one-stop-shop for all things related to Research Data Management. Data Management is an important part of the research project for reasons such as:
1. Funding agencies, such as the National Science Foundation, National Institutes of Health, and National Endowment for the Humanities require data management and sharing plans in all grant applications.
2. The White House Office of Science and Technology Policy released a directive (February 22, 2013) that all federal agencies are to make the results of federally funded research publicly available within one year of publication and to better manage data from federally funded research projects.
This site provides guidance on specific aspects of data management and provides information on data management best practices. Specific area covered include:
Guide Author |
 Chris Eaker Contact Info Graduate Research Assistant Data Curation Education in Research Centers School of Information Sciences University of Tennessee, Knoxville Send Email Links: Profile & Guides |
Acknowledgements
Content on the Data Management guide was adapted from material found website, such as, but not limited to:
Special thanks to these institutions for supplying content.
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