Category:LIMSwiki journal articles on FAIR data principles
From LIMSWiki
Jump to navigationJump to searchThe main article for this category is Journal:The FAIR Guiding Principles for scientific data management and stewardship.
This category is designated for any open-access journal articles (appearing in the Journal: namespace) about the FAIR (findability, accessibility, interoperability, and reusability) data principles, as originally prescribed by Wilkinson et al. in 2016.
Pages in category "LIMSwiki journal articles on FAIR data principles"
The following 32 pages are in this category, out of 32 total.
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- Journal:Data management and modeling in plant biology
- Journal:Data management challenges for artificial intelligence in plant and agricultural research
- Journal:Data management of microscale reaction calorimeter using a modular open-source IoT platform
- Journal:Developing a framework for open and FAIR data management practices for next generation risk- and benefit assessment of fish and seafood
- Journal:Development and governance of FAIR thresholds for a data federation
- Journal:Development of an informatics system for accelerating biomedical research
- Journal:Digitalization concepts in academic bioprocess development
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- Journal:Sample identifiers and metadata to support data management and reuse in multidisciplinary ecosystem sciences
- Journal:Semantic units: Organizing knowledge graphs into semantically meaningful units of representation
- Journal:Shared metadata for data-centric materials science
- Journal:Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation
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- Journal:Ten simple rules for maximizing the recommendations of the NIH data management and sharing plan
- Journal:The FAIR Guiding Principles for scientific data management and stewardship
- Journal:The NOMAD Artificial Intelligence Toolkit: Turning materials science data into knowledge and understanding
- Journal:Towards a contextual approach to data quality
- Journal:Towards a risk catalog for data management plans
