User:Shawndouglas/sandbox/sublevel12

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[[File:|right|380px]] Title: What are the potential implications of the FAIR data principles to laboratory informatics applications?

Author for citation: Shawn E. Douglas

License for content: Creative Commons Attribution-ShareAlike 4.0 International

Publication date: May 2024

Introduction

This brief topical article will examine

Blah blah blah

Journal:A roadmap for LIMS at NIST Material Measurement Laboratory

https://riojournal.com/article/96075/ Importance of metadata for FAIR data objects
More metadata, for findability: "While descriptive metadata may not be available, support for generalized CRUD operations requires essential structural and administrative metadata to be captured, stored, and made available for requestors. Metadata capture must be highly automated and reliable, both in terms of technical reliability and ensured metadata quality." Journal:Making data and workflows findable for machines
More metadat, for reusability: "make recommendations for assigning identifiers and metadata that supports sample tracking, integration, and reuse. Our goal is to provide a practical approach to sample management, geared towards ecosystem scientists who contribute and reuse sample data." Journal:Sample identifiers and metadata to support data management and reuse in multidisciplinary ecosystem sciences

"The principles should be considered during development of informatics systems to further promote data discovery and reuse. In Table 1, we have correlated the various BRICS functional components to the FAIR principles to illustrate the extent to which each of the components contributes towards the principles." Journal:Development of an informatics system for accelerating biomedical research

Restricted or personal information while still being FAIR