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. FASEB DataWorks! is a new initiative to bring the biology community together to address some of the common concerns researchers have around openly sharing their data, including (but not limited to):
- retaining intellectual property rights,
- establishing and identifying formal repositories,
- standardizing methods of interpreting and annotating data,
- training in data management techniques, and
- navigating the complex world of Data Management Plans (DMPs).
Through FASEB DataWorks!, we are creating an ecosystem that engages all stakeholders in the research process. Our goals for this initiative are to accelerate discovery in the life sciences, increase data accessibility and leverage it to maximize the return on investment of research, and support compliance with funder policies on data stewardship. Read more from our CEO
The initiative features four components:
- a series of salons to foster community conversations that explore data reuse barriers and solutions, as well as capture insights to improve data-sharing practices,
- a Fellows program to help researchers and teams hone their data management and sharing skills and mentor their peers in data reuse strategies,
- a data help desk and knowledgebase to offer guidance and peer mentoring on data-sharing policies and practices, and
- an annual grand challenge prize to recognize research teams that accelerate discovery through data sharing and reuse.
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. The Fellows program will launch in early 2022, followed by the data help desk/knowledgebase and challenge prize launching in 2022-2023.
Join the Community
DataWorks! salons enable researchers to gather to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere. Mark your calendar for our upcoming salons:
December 14, 2–3 pm ET
DataWorks! Data Management Plan Challenge
Data Management Plans (DMPs) play an integral role in ensuring that data are collected, organized, stored, and shared responsibly. Biomedical and biological researchers writing such plans frequently ask for examples of excellent DMPs that incorporate their data types and specific storage, access, and IP requirements. The DataWorks! Data Management Plan Challenge responds to this need and celebrates excellence in managing and sharing biomedical and biological data. Share your existing DMPs (or create a new one) that incorporate your data types and specific storage, access, and IP requirements using the DMPTool for a chance to win an Outstanding NIH DMSP Award, a cash prize, and an opportunity to have your DMP published in FASEB BioAdvances.
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.