Data Management and Sharing
Data are a fundamental component of the research process. Sharing that data is essential to accelerate and enhance research discoveries—key to supporting our mission of advancing health and welfare by promoting progress in the biological and biomedical sciences.
Perplexed by the World of Data Sharing and Reuse?
You are not alone. Many researchers in the life sciences are interested in data reuse but find it hard to navigate today’s confusing open data landscape. To address researchers' concerns around openly sharing their data, we launched FASEB DataWorks!, a new initiative that brings the biological and biomedical research communities together to advance human health through data sharing and reuse. Read more from our CEO
The initiative features four components:
- DataWorks! Salons are conversation spaces for the biological and biomedical research community to exchange ideas and design effective practices for data sharing and reuse;
- DataWorks! Help Desk provides guidance for the biological and biomedical research community to navigate and adopt data sharing and reuse policies and practices;
- DataWorks! Prize recognizes biological and biomedical research teams that integrate data sharing and reuse to advance human health; and
- DataWorks! Community enables biological and biomedical researchers and teams to hone skills and mentor peers in data management and sharing.
To ensure we meet the research community’s needs and evolve as the culture changes, FASEB is taking an incremental approach to FASEB DataWorks! The salon series kicked off in October 2021 and continues over the next 12 months. DataWorks! Community will launch this year, followed by the help desk and prize launching in 2022–2023.
Join the Community
Several opportunities exist for researchers to engage with DataWorks!:
DataWorks! Salons enable researchers to gather to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere. View a recording of our recent salon, "FASEB DataWorks! What's Ahead in 2022"
DataWorks! Data Management Plan (DMP) Challenge
A joint initiative with the University of California Curation Center’s DMPTool, the Research Data Access and Preservation Association, and the Network of National Libraries of Medicine, the DataWorks! DMP Challenge provides a template for researchers to use to develop a DMP aligned with the requirements stated in the Final National Institutes of Health (NIH) Data Management and Sharing Policy. With the NIH policy set to go into effect in January 2023, the DataWorks! DMP Challenge is intended to provide researchers with a template for organizing their DMP and identify areas for which additional guidance may be necessary. As an incentive, FASEB DataWorks! will award 10 Outstanding NIH DMSP awards, each of which includes a prize of $500. Additional details about the DataWorks! DMP Challenge, including rules for submission and the evaluation rubric can be found here. Submissions to the DataWorks! DMP Challenge will be accepted through January 31.
Statement on Data Management and Access
FASEB affirms the importance of data management and access to scientific progress. Good data practices are necessary to achieve the maximal benefit of research for all stakeholders. Technological advances are expanding the ways investigators collect, use, and share data, leading to new knowledge and discovery. The diversity of data types, research areas, and resources available make it challenging to identify data management and accessibility strategies that are practical and relevant for all life science fields. Therefore, FASEB advocates for flexible and customizable approaches that allow investigators and research sponsors to establish reasonable expectations for a particular research project.
Moving forward, the scientific enterprise will need to develop integrated community-based solutions. To that end, we’ve developed principles and recommendations that are meant to help guide your efforts to advance data management and access in the biological and medical sciences.