The era of “Big Data” in biomedical research presents both opportunities and challenges. Increasing access to digital data allows for expanded accountability and accelerated discovery. But to take advantage of these opportunities, data must be managed and shared appropriately. The data repository is a common mechanism for managing and storing content, and the number, scale, and complexities of these repositories continue to grow. In the context of increased demand, it’s vital to understand and measure the value these data repositories are providing to the research community.
To help manage, fund, and communicate the value of these repositories, the NIH wants input on qualitative and quantitative metrics such as those that describe:
- Quality of service
- Indicators of data repository quality and impact (e.g. data citations, patents, publications from the data)
- Utilization (rates of access or download, size, and demand of community served)
- Infrastructure and governance
- Qualitative metrics that may address the above categories
- Consideration of case studies demonstrating the value of the repository
Send your responses to the NIH repository metrics project by Sept. 30, 2016.