Imagine that you are a new professor, just starting getting a group and research programme going... or solo researcher or a small research group starts a study to have data for their PhD students, but have limited funds and technical expertise.
Or, you are a small startup company trying get investment and build income quickly... in the research realm so need to follow best practices/requirements for data management... relies on data collection for business. Needs to get operational quickly, but doesn't yet have funds to hire technical personnel.
Or, you are a large, multi-national/center consortium that wants to keep better track of who's working on what, and how to discover and share data added to the project... or has an aim of widely disseminating their data for maximal, and cost-effective, use by their collaborators and others.
All of these could use the framework to abide by the best practices in FAIR data management.
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