Tag: Data Sharing
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The FAIRLYZ Survey Report: Optimizing Data Sharing for Scientific Progress
Biomedical data sharing, especially crucial for AI’s reliance on large, high-quality datasets, fuels scientific progress by enabling new research and collaborations around data reuse, and the development of new tools trained on the data. To gain insights into current data sharing practices and challenges, the FAIRLYZ project surveyed NIAID-funded researchers. An analysis of the survey…
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The Practice of Licensing Biomedical data
There are several reasons why a researcher might choose to license their data using permissive licenses like MIT, Apache 2.0, or LGPL including increased accessibility and collaboration. Benefits Benefits for the scientific community: Benefits for the Researcher: Alignment with Funding Agencies: Downsides to Consider: Overall, researchers often choose permissive licenses to promote collaboration, transparency, and…
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Submitting Data to NIH Repositories
For scientific researchers nearing publication, a crucial step involves uploading data to a public repository. However, navigating the diverse landscape of data repositories, each with unique data types and submission processes, can still be a tedious task even as it has improved over the years. dbGaP, GEO, and SRA Below are links to submission guides…