Discover how Gitingest MCP analyses GitHub repositories, creating actionable insights. Simplify codebases, improve teamwork ...

But the data repository options that have been around ... support datasets from multiple sources but require a consistent data structure. They’re comparatively expensive and can’t handle ...

Researchers sharing certain data types are mandated to use specific repositories. These include genomics, transcriptomics, protein structures, proteomics, and small molecule crystallography.

Since a data lake lacks structure, it's relatively easy to make ... There is also concern that since all data is stored in one repository in a data lake that it also makes the data more vulnerable.

It forms part of a wider group of useful materials associated with your research project, including but not limited to: raw or processed data and metadata files, e.g. spectra, images, structure files ...