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Research Data Management

How Creighton Libraries Can Help

•    Show you how to comply with public access funder mandates and journal data sharing requirements
•    Help you write data management and sharing plans as required by many grants, including the use of DMPTool
•    Assist you in identifying and using data repositories to preserve and share your data
•    Help with metadata and documentation to make your data searchable and citable, to ensure your work can be found and credited
•    Our Research Data Management Blog, RDM@Creighton, can keep you up to date on new webinars, trainings, and resources

New NIH Data Management and Sharing Policy in place as of Jan 25, 2023

Investigators are required to:

  • Submit a Data Management and Sharing plan outlining how scientific data and any accompanying metadata will be managed and shared, taking into account any potential restrictions or limitations.
  • Comply with the Data Management and Sharing plan approved by the funding Institute or Center (IC).

Example DMS Plans

Writing a DMSP

Basic plan outline

In a supplemental document of two pages or less, address the following six sections:

  1. Data Type: Briefly describe the scientific data to be managed, preserved, and shared
  2. Related Tools, Software and/or Code: An indication of whether specialized tools will be needed to access or manipulate the shared scientific data to support replication or reuse, and name(s) of the needed tool(s) and software.
  3. Standards: An indication of what standards will be applied to the scientific data and associated metadata (i.e., data formats, data dictionaries, data identifiers, definitions, unique identifiers, and other data documentation). If the discipline of the research does not have a shared approach to data structures, the Plan may indicate that no consensus data standards exist for this scientific data and metadata.
  4. Data Preservation, Access, and Associated Timelines: Plans and timelines for data preservation and access, including (a) specific repository or repositories where data will be shared; what persistent identifier or other indexing tool will be provided to find and access the data; and when data will become available and for how long it will stay available.
  5. Access, Distribution, or Reuse Considerations: Any limits that will be placed on access, and why the limits are expected to be placed.
  6. Oversight of Data Management and Sharing: Indicate how and on what schedule the DMS Plan will be monitored and managed, and by whom.


DMPTool Logo

DMPTool is a free resource that provides templates that meet institutional and funder requirements around data management and sharing. As new requirements are implemented, DMPTool tracks them. This tool can be a useful guide for thinking about what information you should collect when planning data management and sharing. With DMPTool, researchers can:

•    Create ready-to-use data management plans for specific funding agencies.
•    Get step-by-step instructions and guidance for data management plans.

Repositories and Sharing Your Data

Costs and Budgeting

NIH Data Management and Sharing Resources, Webinars, and Training

Network of the National Library of Medicine's NIH Data Management and Sharing Requirements Series

Data Curation Network – Event Series provides new approaches, methods, and best practices from representatives of the Data Curation Network on management, curation, and sharing to promote transparency, reproducibility, and reuse of research data. This is expected to help the NIH research community better manage and prepare their data, making it more useful and usable for others. The content generated from this series will be also made available online as self-paced training material for broader use.

Event 1: Introduction to Data Curation & Services for Researchers

Event 2: Towards Authenticity: Critical Appraisal of Data Management Plans

Event 3: Applying the CURATE(D) Model for Data Curation


NIH Policy Statements

Terminology and Acronyms

  • DMSP, a Data Management and Sharing Plan (NIH): A 2-page supplemental document at proposal submission describing expected data management practices in order to optimize reusability of data and when possible to lead to data sharing processes, starting 2023

  • DSMP, a Data and Safety Monitoring Plan: A plan used in human subjects research involving greater than minimal risk. 

  • DSMB, a Data and Safety Monitoring Board: An independent committee that carries out important aspects of study monitoring in human subjects research involving greater than minimal risk. 

  • DMP for Data Management Plan may mean:

    • A data management plan for security. Essential to protecting privacy, but does not address post-closeout data sharing for grant DMP/DMSP sharing.

    • A data management plan submitted as a supplement with a federal grant proposal. This kind of DMP describes the management of data and metadata for purposes of preservation and sharing of data.

  • DMPtool, at A system for writing data management plans or data management and sharing plans to supplement federal funding applications

  • DSP, a Data Sharing Plan (NIH): A 2-page supplemental document at proposal submission describing expected data sharing processes, to be retired in 2023 and replaced with the new, farther-reaching DMSP

  • DUA or DSA, a data use agreement or data sharing agreement: A license or contract between a sharer and a sharee of data, describing the terms under which the data are being shared. This specific document of terms may be used in support of restricted data sharing.

(Source: Virginia Commonwealth University Libraries)