GREI Collaborative Webinar Series on Data Sharing in Generalist Repositories | Data Science at NIH

“Join us for a series of presentations and panel discussions by generalist repositories to learn about available repository resources and best practices for sharing NIH-funded research.

Presented by the members of the NIH Generalist Repository Ecosystem Initiative (GREI): Dryad, Dataverse, Figshare, Mendeley Data, Open Science Framework, Vivli, and Zenodo….”

FASEB DataWorks! Salon

“Monthly conversation space for researchers to discuss issues related to data sharing and reuse. Visit www.faseb.org/dataworks for more information.

September 8: Digitizing your lab with e-notebooks and digital tools
October 6: Selecting a repository
November 10: Preparing for 2023 NIH Data Management and Sharing Policy
December 15: Budgeting for data management…”

Meet the GREI Generalist Repositories

“Join us for a panel discussion with the 6 generalist repositories participating in the NIH Generalist Repository Ecosystem Initiative (GREI). Learn about common features and capabilities across repositories as well as repositories that support specific use cases. Discover how these repositories are working together to support NIH-funded researchers and participate in an audience Q&A.”

Health Science Policy Analyst

“Duties As a Health Science Policy Analyst, some of your duties and responsibilities will include, but are not limited to the following: Conduct the development and implementation of the trans-NIH GDS resource by utilizing expertise and resources in genomics, bioinformatics, biomedical data analysis, policy implementation, and large-scale coordination and collaboration. Participate in the development of comprehensive information, education, and training resources in the areas of GDS compliance. Respond to inquiries from NIH staff, NIH data access committees and outside investigators related to implementation of the GDS policy and provides support to NIH data access committees, data repository staff and other key stakeholders. Perform analysis and evaluation of significant problems or questions pertaining to NIH GDS activities and policies. Plan, conduct, coordinate, and evaluate extensive long-range studies and develop analyses regarding GDS policy….”

How Figshare meets the NIH ‘Desirable Characteristics for Data Repositories’ – a help article for using figshare

“The new NIH Policy for Data Management and Sharing (effective January 25, 2023) includes supplemental information on Selecting a Data Repository (NOT-OD-21-016), which outlines the data repositories characteristics that researchers should seek out to share their NIH-funded research data and materials. 

Figshare.com is an appropriate and well-established generalist repository for researchers to permanently store the datasets and other materials produced from their NIH-funded research and to include in their NIH Data Management and Sharing Plans. Figshare+ uses the same repository infrastructure to offer support for sharing large datasets including transparent costs that can be included in funding proposal budgets. Note that Figshare may also be included in Data Management and Sharing Plans in combination with discipline-specific repositories for sharing any types of research outputs that may not be accepted in more specific repositories. Figshare is currently working with NIH as part of their Generalist Repository Ecosystem Initiative to continue enhancing our support for NIH-funded researcher needs. 

Figshare repositories offer established repository infrastructure including adherence to community best practices and standards for persistence, provenance, and discoverability with the flexibility to share any file type and any type of research material and documentation. Figshare makes it easy to share your data in a way that is citable and reusable and to get credit for all of your work. 

Figshare is listed as a recommended data sharing resource in the following: 

NIH Scientific Data Sharing: Generalist Repositories
NIH National Library of Medicine (NLM): Generalist Repositories
NIH HEAL Initiative Recommended Repositories
Nature’s Data Repository Guidance …”

Statement on NIH plans to speed access to federally funded research results | National Institutes of Health (NIH)

“Today, the White House Office of Science and Technology Policy (OSTP) issued updated policy guidance

(link is external) directing federal agencies to expedite access to results of federally funded research. NIH has long championed principles of transparency and accessibility in NIH-funded research and supports this important step by the Biden Administration.

Over the coming months, NIH will work expeditiously to develop and share its plans for implementing the OSTP policy guidance. NIH intends to work with interagency partners and stakeholders to revise its current Public Access Policy to enable researchers, clinicians, students, and the public to access NIH research results immediately upon publication. I am pleased to report that NIH’s efforts to maximize access to scientific data are already underway through implementation of the new NIH Policy for Data Management and Sharing (DMS Policy), which takes effect on January 25, 2023. Through the DMS Policy, NIH clearly articulates that sharing scientific data is fundamental to accelerating biomedical research discovery. Our DMS Policy implementation efforts continue, and I encourage you to visit sharing.nih.gov for the latest updates and resources that NIH has developed to support our community of researchers and institutions. 

We are enthusiastic to move forward on these important efforts to make research results more accessible and look forward to working together to strengthen our shared responsibility in making federally funded research results accessible to the public.”

Recognizing Our Collective Responsibility in the Prioritization of Open Data Metrics · Issue 4.3, Summer 2022

Abstract:  With the rise in data-sharing policies, development of supportive infrastructure, and the amount of data published over the last decades, evaluation and assessment are increasingly necessary to understand the reach, impact, and return on investment of data-sharing practices. As biomedical research stakeholders prepare for the implementation of the updated National Institutes of Health (NIH) Data Management and Sharing Policy in 2023, it is essential that the development of responsible, evidence-based open data metrics are prioritized. If the community is not mindful of our responsibility in building for assessment upfront, there are prominent risks to the advancement of open data-sharing practices: failing to live up to the policy’s goals, losing community ownership of the open data landscape, and creating disparate incentive systems that do not allow for researcher reward. These risks can be mitigated if the community recognizes data as its own scholarly output, resources and leverages open infrastructure, and builds broad community agreement around approaches for open data metrics, including using existing standards and resources. In preparation for the NIH policy, the community has an opportune moment to build for researchers’ best interests and support the advancement of biomedical sciences, including assessment, reward, and mechanisms for improving policy resources and supportive infrastructure as the space evolves.

DataWorks! Prize – Incentives for building a culture of data sharing and reuse – NIH Extramural Nexus

“A $500,000 prize purse, rewarding data sharing and reuse in biomedical research, is a new, innovative strategy for supporting the research community. The DataWorks! Prize highlights the role of data sharing and reuse in scientific discovery while recognizing and rewarding researchers who engage in these practices. This prize, which launched on May 11, 2022, is a partnership between the NIH Office of Data Science Strategy and the Federation of American Societies for Experimental Biology (FASEB)….”

NIH issues a seismic mandate: share data publicly

“In January 2023, the US National Institutes of Health (NIH) will begin requiring most of the 300,000 researchers and 2,500 institutions it funds annually to include a data-management plan in their grant applications — and to eventually make their data publicly available.

Researchers who spoke to Nature largely applaud the open-science principles underlying the policy — and the global example it sets. But some have concerns about the logistical challenges that researchers and their institutions will face in complying with it. Namely, they worry that the policy might exacerbate existing inequities in the science-funding landscape and could be a burden for early-career scientists, who do the lion’s share of data collection and are already stretched thin….

Such a seismic shift in practice has left some researchers worried about the amount of work that the mandate will require when it becomes effective….

Others worry that data-management activities will further sap funds from under-resourced labs. Although the policy outlines certain fees that researchers can add to their proposed budgets to offset the costs of compliance with the mandate, it doesn’t specify what criteria the NIH will use to grant these requests….

Despite its potential pitfalls, Ross thinks that the policy will have a ripple effect that will persuade smaller funding agencies and industry to adopt similar changes. “This policy establishes what people expect from clinical research,” he says. “It’s essentially saying the culture of research needs to change.” ”

NIH-Wide Strategic Plan: Fiscal Years 2021-2025

“NIH is committed to making findings from the research that it funds accessible and available in a timely manner, while also providing safeguards for privacy, intellectual property, security, and data management. For instance, NIH-funded investigators are expected to make the results and accomplishments of their activities freely available within 12 months of publication. NIH also encourages investigators to share results prior to peer review, such as through preprints, to speed the dissemination of their findings and enhance the rigor of their work through informal peer review. A robust culture of data sharing is critical to continued progress in science, maximizing NIH’s investment in research, and assurance of the highest levels of transparency and rigor. To this end, NIH will continue to promote opportunities for data management and sharing while allowing flexibility for various data types, sharing platforms, and strategies. Additionally, NIH is implementing a policy requiring that all applications include data sharing and management plans that consider input from stakeholders….”

NIH Request for Information on Streamlining Access to Controlled Data from NIH Data Repositories | Data Science at NIH

“The National Institutes of Health (NIH) released today a Request for Information (RFI) on streamlining access to controlled data from NIH data repositories (NOT-OD-21-157). Responses are due Aug. 9. 

The NIH is requesting input on strategies for harmonizing, simplifying, and streamlining mechanisms for accessing data in NIH-supported controlled-access data repositories that continue to uphold robust data privacy and security protections. In particular, NIH would like to understand better researchers’ experiences in finding and accessing controlled access data housed in NIH-supported repositories and the extent to which existing NIH policies address aggregation and linkage of controlled access data….”