FAIR Metric for Engineering Sciences: Work results Article Swipe
Context NFDI4ING is the National Research Data Infrastructure for the Engineering Sciences, developing concepts and services for Research Data Management (RDM) in the Engineering Sciences in Germany. Within NFDI4ING, Special Interest Groups (SIGs) are a temporary format for exchange on a certain topic with interested experts from within and beyond NFDI4ING. In SIGs the members work together in an interactive way, although - in contrast to e.g. project work packages - it is not mandatory to create a certain result. Goal Goal of the SIG "Engineering FAIR Metric" is to develop a FAIR Metric for the Engineering Sciences. "FAIR" is the acronym for "Findable, Accessible, Interoperable, Reusable" by Wilkinson et al. (2016). Various developments in RDM, esp. in engineering sciences, will be brought together to give engineering researchers a guideline how to provide their data in a FAIR way. Due to the heterogeneity and diversity of the engineering sciences - the classification by the German DFG lists for the engineering sciences the subjects areas 41 Mechanical and Industrial Engineering, 42 Thermal Engineering / Process Engineering, 43 Material Science and Engineering, 44 Computer Science, Systems and Electrical Engineering, and 45 Construction Engineering and Architecture - a community-driven approach in the SIG format is chosen to collect input. Documents The SIG Engineering FAIR Metric started in October 2025 with the Kick-Off which can be found at 10.5281/zenodo.17618584. Meetings are conducted on a weekly basis. The progress is document in this upload, where each week is represented by a new version of the document. The versions are named with both version number 0.## and creation date.
Related Topics
Concepts
Acronym
Context (archaeology)
Computer science
Work (physics)
Metric (unit)
Process (computing)
Engineering design process
Engineering management
Engineering education
Software engineering
Requirements engineering
Architecture
Engineering
Information engineering
Project management
Scheme (mathematics)
Diversity (politics)
Work in process
Systems engineering
Science and engineering
Duration (music)
Data science
Engineering research
Operations research
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5281/zenodo.17619227
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W7105798704
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W7105798704Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5281/zenodo.17619227Digital Object Identifier
- Title
-
FAIR Metric for Engineering Sciences: Work resultsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-11-28Full publication date if available
- Authors
-
Moser, MarioList of authors in order
- Landing page
-
https://doi.org/10.5281/zenodo.17619227Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5281/zenodo.17619227Direct OA link when available
- Concepts
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Acronym, Context (archaeology), Computer science, Work (physics), Metric (unit), Process (computing), Engineering design process, Engineering management, Engineering education, Software engineering, Requirements engineering, Architecture, Engineering, Information engineering, Project management, Scheme (mathematics), Diversity (politics), Work in process, Systems engineering, Science and engineering, Duration (music), Data science, Engineering research, Operations researchTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
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| abstract_inverted_index.Science, | 182 |
| abstract_inverted_index.Sciences | 24 |
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| abstract_inverted_index.NFDI4ING. | 50 |
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| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 1 |
| citation_normalized_percentile.value | 0.89357062 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |