Beginning on January 25, 2023, all NIH researchers will be required to include a data management and sharing (DMS) plan in all funding applications. To provide guidance to the university community, the NIH has launched a Scientific Data Sharing Website addressing its new data sharing requirements.
Since 2003, NIH has required data management and sharing plans for awards in excess of $500,000 in direct costs in any single year of the project period. However, the new Final NIH Policy for Data Management and Sharing applies to all NIH grants applied for after January 25, 2023, and imposes new expectations on what must be included in a DMS Plan.
➤ DMS plans should be no longer than two pages.
➤ The costs associated with satisfying data sharing obligations may be charged to the NIH but must be included in the budget, even for scientific data and metadata preserved and shared beyond the award period.
➤ Researchers are expected to call out any ethical, legal, or technical considerations that might limit the nature and extent of data sharing, particularly for research involving human subjects.
➤ NIH Institutes, Centers, and Offices (ICO’s) may add additional data sharing requirements in connection with specific solicitations.
➤ Solicitations may specify NIH-supported repositories into which data must be placed or allow researchers to select repositories external to NIH.
➤ Data should be made available as soon as possible and no later than the time of an associated publication. Data must also be released in a timely way even if no publications arise from the research.
USC has developed a suite of resources to support the research community in understanding and adhering to the new NIH DMS requirements.
For a more detailed overview of NIH’s Data Sharing initiative, please review the NIH Data Sharing presentation prepared by the Office of Culture, Ethics, and Compliance (OCEC).
In addition, OCEC has developed a series of one-page guidance sheets addressing key points of the new DMS requirement. Please click on any of the links below for topic-specific guidance:
Throughout the Fall of 2022, USC will be offering live training sessions to researchers and research administrators designed to familiarize the research community with the new NIH DMS requirements and to answer any questions you may have. Please visit this page regularly to see a schedule of upcoming sessions or contact OOR/OCEC for additional information regarding upcoming training sessions. If you have scheduling conflicts that do not permit you to attend a live session, recordings will be made available on-demand in Trojan Learn beginning in November 2022. Should you have interest, OCEC and OOR are happy to schedule additional live training sessions for your department, unit, or school.
➤ Training Schedule:
October 6, 2022: 1:00 pm (Register in advance for this meeting to receive zoom link: https://usc.zoom.us/meeting/register/tJclcOmurTIjGtZ_OQIj7alSZLAApvBiS-jE)
Oct 19, 2022: 1:00 PM (Register in advance for this meeting to receive zoom link: https://usc.zoom.us/meeting/register/tJIqcOCgqTIuEtWiAtllq0Cpq6YOmdxMrfIk)
October 24, 2022: 11:00 am (Register in advance for this meeting to receive zoom link: https://usc.zoom.us/meeting/register/tJIpd-6hrzIuGNBG0Ppgl344cH6L0BCN0r0V)
Nov 3, 2022: 09:00 AM (Register in advance for this meeting to receive zoom link:https://usc.zoom.us/meeting/register/tJIlc-GupzgrH9fhL8fEUcRZwqN7gkPKGN6j)
Below are examples of DMS Plans that follow the required structure of the NIH Rule and discuss some key points for consideration as you develop a plan that is appropriate for your research project. The first link explains various criteria to consider for each plan element. The remaining links are examples of DMS Plans to use as reference.
Please visit the NIH’s Scientific Data Sharing Website to review a series of frequently asked questions addressing topics like the scope of the policy, effective practices to manage and share data, and considerations for scientific data derived from human participants, among other topics.
➤ “FAIR” Principles
A guiding principle of the NIH Strategic Plan for Data Science is that all biomedical research data should adhere to FAIR principles. This means data should be Findable, Accessible, Interoperable, and Reusable. To learn more, visit the GO FAIR Initiative or read The NIH Strategic Plan for Data Science.
➤ NIH Guide Notices: Data Management and Sharing