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==Sandbox begins below== | ==Sandbox begins below== | ||
<div class="nonumtoc">__TOC__</div> | <div class="nonumtoc">__TOC__</div> | ||
[[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''': [https://creativecommons.org/licenses/by-sa/4.0/ 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 | |||
* [[Journal:FAIR Health Informatics: A health informatics framework for verifiable and explainable data analysis]] | |||
* [[Journal:Restricted data management: The current practice and the future]] | |||
==Conclusion== | |||
==References== | |||
{{Reflist|colwidth=30em}} | |||
<!---Place all category tags here--> | |||
Revision as of 23:34, 29 April 2024
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This is sublevel12 of my sandbox, where I play with features and test MediaWiki code. If you wish to leave a comment for me, please see my discussion page instead. |
Sandbox begins below
[[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
- 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
- Journal:FAIR Health Informatics: A health informatics framework for verifiable and explainable data analysis
- Journal:Restricted data management: The current practice and the future
Conclusion
References
