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Data Management

Understand the importance of creating a Data Management Plan (DPM) to manage and share research data effectively. Learn about metadata standards, data protection, policies for sharing and reuse, archiving, and preservation requirements.

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Data Management

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  1. Data Management Lesley A. Brown Director of Proposal Development

  2. Data Management Take home message: Data Management = Data SHARING

  3. Data Management A Data Management Plan (DPM) outlines the procedures you will use to manage your data during your research and explains how you will share your data and research results after the completion of the research project.

  4. Creating a Data Management Plan Review funding agency requirements. Determine what type(s) of data will be produced (e.g., quantitative, qualitative, sensitive). Determine metadata standards. Determine protections for sensitive or classified data.

  5. Creating a Data Management Plan Determine what policies will govern data sharing and reuse. Determine how you will archive and preserve your data.

  6. What is Metadata? Data about data. Two types Structural: data about the containers of data. Descriptive: individual instances or the data content. Metadata often includes information on the means of creating the data, purpose of the data, creator or author of the data, location on the computer network, and standards.

  7. NSF Data Management Plans Required since 2011 for all NSF research proposals. No more than 2 pages in length. Describes how the proposal will conform to NSF’s Data Sharing Policy.

  8. NSF Data Management Plans An NSF DMP should include: Types of data to be produced (including samples, physical collections, software). Metadata standards to be used. Policies for access and sharing (including provisions for privacy/intellectual property where necessary). Policies and provisions for re-use. Plans for archiving and ensuring long-term preservation.

  9. NIH Data Sharing Policy • Published in the NIH Guide on February 26, 2003. • Data should be made as widely and freely available as possible while safeguarding the privacy of participants, and protecting confidential and proprietary data.

  10. NIH Data Sharing Policy • NIH Policy on data sharing applies: • To the sharing of final research data for research purposes. • To all types of research supported by NIH. • To applications seeking $500,000 or more in direct costs in any year through grants, cooperative agreements or contracts.

  11. NIH Data Sharing Plan • An NIH Data Sharing Plan should include: • Schedule for data sharing. • Format of the final dataset. • Documentation to be provided. • Whether a data sharing agreement will be required. • Mode of data sharing (website, data archive, data enclave).

  12. What Is a Data Enclave? • Provides a controlled, secure environment in which eligible researchers can perform analyses using restricted data resource. • Datasets that can’t be distributed to the general public (e.g., because of participant confidentiality concerns, third-party licensing or use agreements that prohibit redistribution, or national security considerations)can be accessed through a data enclave.

  13. Resources UNC Charlotte Atkins Library. http://guides.library.uncc.edu/datamanagement Information on NEH, NSF and NIH policies. Sample plans. Link to DMP Tool at University of California Curation Center. Links to funder requirements and templates.

  14. Resources University of Minnesota Libraries. https://www.lib.umn.edu/datamanagement/DMP Full collection of data management information, including examples in a variety of disciplines.

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