Related Resources

Introduction to Data Management Plans:

NSF Directorates DMP guidelines: There are several directorates in the NSF that have more specific guidance than what follows in this tutorial. It is recommended that you refer to such guidelines (see the list below), if your directorate is included, in addition to taking this tutorial.

• Directorate of Biological Sciences: Information about the Data Management Plan Required for All Proposals (PDF)
• EarthScope Data and Sample Policies (PDF)
• Directorate of Education and Human Resources (Division of Social, Behavioral, and Economic Sciences) (PDF)
• Directorate of Engineering: Data Management for NSF Engineering Directorate Proposals and Awards (PDF)
• Directorate of Geosciences - Data Policies
  • Atmospheric and Geospace Sciences
  • Earth Sciences
  • ​Ocean Sciences
• Directorate of Mathematical and Physical Sciences, Division of Astronomical Sciences (AST): Advice to PIs on Data Management Plans (PDF)
• Directorate of Mathematical and Physical Sciences, Division of Chemistry (CHE): Advice to PIs on Data Management Plans (PDF)
• Directorate of Mathematical and Physical Sciences, Division of Materials Research (DMR): Advice to PIs on Data Management Plans (PDF)
• Directorate of Mathematical and Physical Sciences, Division of Mathematical Sciences (DMS): Advice to PIs on Data Management Plans (PDF)
• Directorate of Mathematical and Physical Sciences, Division of Physics: Advice to PIs on Data Management Plans (PDF)

Other Resources:

Below are links to more information about the data planning and data sharing requirements that NSF and the NIH have in place; online courses/modules in data management; and a list of links to stories about data casualties.

• Data Management for Clinical Research (Fall 2013 MOOC)
• Earth Science Information Partners (ESIP) Data Management Short Course for Scientists
• MANTRA Research Data Management Training - online course for researchers and others wishing more background in lifecycle management of digital data
• National Science Foundation (NSF): Data Management and Sharing FAQs
• National Institutes of Health (NIH): Data Sharing Policy
• Penn State Libraries' web pages on data management planning
• A Running Link List of Data Horror Stories - on Pinboard, amassed by Dorothea Salo
• University of Minnesota Libraries' Data Management Course
• 10 Simple Rules for the Care and Feeding of Scientific Data
• The Vast Majority of Raw Data from Old Scientific Studies May Now Be Missing from smithsonianmag.com
• The Availability of Research Data Declines Rapidly With Article Age (Current Biology, 2013)

Part 1: Data and Data Collection

• "Excel is Not Your Lab Notebook" - a blog post about why Excel is not a good tool for data management as currently used by many in the biological sciences.
• MIT Libraries. (n.d.). Documentation and Metadata. In Subject Guides: Data Management and Publishing. Retrieved December 29, 2013.
• A Story Told in File Names. PhD Comics
• Recommended Format Specifications. Library of Congress.

Part 2: Documenting the Data

• Metadata. (n.d.) In Wikipedia. Retrieved from http://en.wikipedia.org/wiki/Metadata.
• UMASS Amherst Libraries. (n.d.). Metadata and Standards. In Data Management Plan Guidance. Retrieved December 29, 2013.

Part 3: Policies for Data Sharing and Access

• “Closed Data . . . Excuses, Excuses” - blog post by Carly Strasser at the blog, Data Pub: California Digital Library Conversations about Data: http://datapub.cdlib.org/2013/04/24/closed-data-excuses-excuses/
• ESIP Federation Interagency Data Stewardship/Citation
• "Raw Personal Data: Providing Access" 24 January 2014: Vol. 343 no. 6169 pp. 373-374
• Piowar, HA, Day RS, Fridsma DB (2007) "Sharing Detailed Research Data is Associated with Increased Citation Rate" PLoS One 2: e308 DOI: 10.1371/journal.pone.0000308.

Part 4: Reuse and Redistribution of Data

• Faniel, Ixchel M., Adam Kriesberg, and Elizabeth Yakel. 2012. "Data Reuse and Sensemaking among Novice Social Scientists." ASIS&T 2012 Annual Meeting Proceedings, 1-10. Baltimore, Maryland, USA. Preprint is available online.

Part 5: Long-Term Preservation and Archiving of Data

• "Born Digital, Projects Need Attention to Survive"
• Vines, Timothy H., Arianne Y. K. Albert, Rose L. Andrew, Florence Débarre, Dan G. Bock, Michelle T. Franklin, Kimberly J. Gilbert, Jean-Sébastien Moore, Sébastien Renaut, and Diana J. Rennison. 2014. “The Availability of Research Data Declines Rapidly with Article Age.” Current Biology. Accessed January 2. doi:10.1016/j.cub.2013.11.014.
• Goodman, Alyssa, Alberto Pepe, Alexander W. Blocker, Christine L. Borgman, Kyle Cranmer, Merce Crosas, Rosanne Di Stefano, et al. 2014. “Ten Simple Rules for the Care and Feeding of Scientific Data.” PLoS Comput Biol 10 (4): e1003542. doi:10.1371/journal.pcbi.1003542.