Difference between revisions of "User:Shawndouglas/sandbox/sublevel12"
From LIMSWiki
< User:Shawndouglas | sandbox
Jump to navigationJump to searchShawndouglas (talk | contribs) |
Shawndouglas (talk | contribs) |
||
| Line 22: | Line 22: | ||
==Blah blah blah== | ==Blah blah blah== | ||
First discussed during a 2014 workshop dedicated to "overcoming data discovery and reuse obstacles," the [[Journal:The FAIR Guiding Principles for scientific data management and stewardship|FAIR Guiding Principles]] were published by Wilkinson ''et al.'' in 2016 as a stakeholder collaboration driven to see research "objects" (i.e., research data and [[information]] of all shapes and formats) become more universally findable, accessible, interoperable and reusable (FAIR) by both machines and people.<ref name="WilkinsonTheFAIR16">{{Cite journal |last=Wilkinson |first=Mark D. |last2=Dumontier |first2=Michel |last3=Aalbersberg |first3=IJsbrand Jan |last4=Appleton |first4=Gabrielle |last5=Axton |first5=Myles |last6=Baak |first6=Arie |last7=Blomberg |first7=Niklas |last8=Boiten |first8=Jan-Willem |last9=da Silva Santos |first9=Luiz Bonino |last10=Bourne |first10=Philip E. |last11=Bouwman |first11=Jildau |date=2016-03-15 |title=The FAIR Guiding Principles for scientific data management and stewardship |url=https://www.nature.com/articles/sdata201618 |journal=Scientific Data |language=en |volume=3 |issue=1 |pages=160018 |doi=10.1038/sdata.2016.18 |issn=2052-4463 |pmc=PMC4792175 |pmid=26978244}}</ref> | |||
* https:// | *LIMS and FAIR: [[Journal:A roadmap for LIMS at NIST Material Measurement Laboratory]] | ||
* | *ELNs and FAIR: [[Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation]] | ||
* | *Biomedical software and FAIR: https://www.nature.com/articles/s41597-023-02463-x | ||
* | *Making software workflows FAIR: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10538699/ | ||
*AWS and FAIR for healthcare and life sciences: https://aws.amazon.com/blogs/industries/implement-fair-scientific-data-principles-when-building-hcls-data-lakes/ | |||
*APIs and FAIR data: https://www.labguru.com/blog/fair-data-principles-and-apis | |||
*Bioinformatics LIMS and FAIR: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8425304/ | |||
*Labbit: https://labbit.com/fair-data-lims | |||
* "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]] | *https://riojournal.com/article/96075/ Importance of metadata for FAIR data objects | ||
*Deep talk about metadata: [[Journal:Shared metadata for data-centric materials science]] | |||
*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 | Restricted or personal information while still being FAIR | ||
* Linking databases of data that haven't seen proper "FAIR-ification" and metadata handling won't be as useful. | *[[Journal:FAIR Health Informatics: A health informatics framework for verifiable and explainable data analysis]] | ||
* Further discussion on data quality in the scope of FAIR: [[Journal:Towards a contextual approach to data quality]] | *[[Journal:Restricted data management: The current practice and the future]] | ||
*Linking databases of data that haven't seen proper "FAIR-ification" and metadata handling won't be as useful. | |||
*Further discussion on data quality in the scope of FAIR: [[Journal:Towards a contextual approach to data quality]] | |||
==Conclusion== | ==Conclusion== | ||
Revision as of 16:40, 30 April 2024
 |
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
First discussed during a 2014 workshop dedicated to "overcoming data discovery and reuse obstacles," the FAIR Guiding Principles were published by Wilkinson et al. in 2016 as a stakeholder collaboration driven to see research "objects" (i.e., research data and information of all shapes and formats) become more universally findable, accessible, interoperable and reusable (FAIR) by both machines and people.[1]
- LIMS and FAIR: Journal:A roadmap for LIMS at NIST Material Measurement Laboratory
- ELNs and FAIR: Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation
- Biomedical software and FAIR: https://www.nature.com/articles/s41597-023-02463-x
- Making software workflows FAIR: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10538699/
- AWS and FAIR for healthcare and life sciences: https://aws.amazon.com/blogs/industries/implement-fair-scientific-data-principles-when-building-hcls-data-lakes/
- APIs and FAIR data: https://www.labguru.com/blog/fair-data-principles-and-apis
- Bioinformatics LIMS and FAIR: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8425304/
- Labbit: https://labbit.com/fair-data-lims
- https://riojournal.com/article/96075/ Importance of metadata for FAIR data objects
- Deep talk about metadata: Journal:Shared metadata for data-centric materials science
- 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
- Linking databases of data that haven't seen proper "FAIR-ification" and metadata handling won't be as useful.
- Further discussion on data quality in the scope of FAIR: Journal:Towards a contextual approach to data quality
Conclusion
References
- ↑ Wilkinson, Mark D.; Dumontier, Michel; Aalbersberg, IJsbrand Jan; Appleton, Gabrielle; Axton, Myles; Baak, Arie; Blomberg, Niklas; Boiten, Jan-Willem et al. (15 March 2016). "The FAIR Guiding Principles for scientific data management and stewardship" (in en). Scientific Data 3 (1): 160018. doi:10.1038/sdata.2016.18. ISSN 2052-4463. PMC PMC4792175. PMID 26978244. https://www.nature.com/articles/sdata201618.
