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https://github.com/carpentries-incubator/scientific-metadata
Introduction to the Fundamentals of Scientific Metadata
https://github.com/carpentries-incubator/scientific-metadata
carpentries-incubator english json lesson markdown metadata pre-alpha xml
Last synced: about 2 months ago
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Introduction to the Fundamentals of Scientific Metadata
- Host: GitHub
- URL: https://github.com/carpentries-incubator/scientific-metadata
- Owner: carpentries-incubator
- License: other
- Created: 2023-01-09T18:20:34.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-12-03T01:26:59.000Z (2 months ago)
- Last Synced: 2024-12-03T02:30:52.700Z (2 months ago)
- Topics: carpentries-incubator, english, json, lesson, markdown, metadata, pre-alpha, xml
- Homepage: https://carpentries-incubator.github.io/scientific-metadata/
- Size: 134 MB
- Stars: 8
- Watchers: 6
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION
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README
# Fundamentals of Scientific Metadata: Why Context Matters
This course is an entry-level introduction to the fundamentals of scientific metadata for PhD students, early-career researchers and Postdocs. In this course we will look at the intricate relationship between (digital) research data, metadata and knowledge, discuss why metadata is critical in today’s research, as well as explain some of the technologies and concepts related to structured machine-readable metadata.
## Maintainer(s)
Curren maintainers of this lesson are
- [Silke C. Gerlich](https://github.com/SilkeGerlich)## Copyright and Licence
See [LICENSE](https://github.com/carpentries-incubator/scientific-metadata/blob/main/LICENSE.md).
## How to Cite
If you want to cite this project in your scientific work,
please use the [citation file](https://citation-file-format.github.io/)
of this [repository](https://github.com/carpentries-incubator/scientific-metadata/blob/main/CITATION.cff).## Acknowledgements
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This project was developed at the Institute for Materials Data Science and Informatics
(IAS-9) of the Jülich Research Center and funded by the Helmholtz Metadata Collaboration
(HMC), an incubator-platform of the Helmholtz Association within the framework of the
Information and Data Science strategic initiative.