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dtool and dserver: A flexible ecosystem for findable data.

Johannes L HörmannLuis YanesAshwin VazhappillyAntoine SannerHannes HoleyLars PastewkaMatthew HartleyTjelvar S G Olsson
Published in: PloS one (2024)
Making data FAIR-findable, accessible, interoperable, reproducible-has become the recurring theme behind many research data management efforts. dtool is a lightweight data management tool that packages metadata with immutable data to promote accessibility, interoperability, and reproducibility. Each dataset is self-contained and does not require metadata to be stored in a centralised system. This decentralised approach means that finding datasets can be difficult. dtool's lookup server, short dserver, as defined by a REST API, makes dtool datasets findable, hence rendering the dtool ecosystem fit for a FAIR data management world. Its simplicity, modularity, accessibility and standardisation via API distinguish dtool and dserver from other solutions and enable it to serve as a common denominator for cross-disciplinary research data management. The dtool ecosystem bridges the gap between standardisation-free data management by individuals and FAIR platform solutions with rigid metadata requirements.
Keyphrases
  • electronic health record
  • big data
  • climate change
  • machine learning
  • data analysis
  • deep learning