scientific-metadata

Introduction to the Fundamentals of Scientific Metadata

https://github.com/carpentries-incubator/scientific-metadata

Science Score: 31.0%

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carpentries-incubator english json lesson markdown metadata pre-alpha xml
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Introduction to the Fundamentals of Scientific Metadata

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carpentries-incubator english json lesson markdown metadata pre-alpha xml
Created about 3 years ago · Last pushed about 1 year ago
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Readme Contributing License Code of conduct Citation

README.md

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 todays 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

Copyright and Licence

See LICENSE.

How to Cite

If you want to cite this project in your scientific work, please use the citation file of this repository.

Acknowledgements

HMC Logo    FZJ Logo


This project was developed at the Institute for Materials Data Science and Informatics (IAS-9) of the Jlich 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.

Owner

  • Name: carpentries-incubator
  • Login: carpentries-incubator
  • Kind: organization

Citation (CITATION)

Please cite this lesson as:

Silke C. Gerlich, Annika Strupp, Volker Hofmann, Stefan Sandfeld (2023). "Fundamentals of Scientific Metadata: Why Context Matters". The Carpentries Incubator. 

GitHub Events

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Last synced: about 1 year ago

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  • Total issues: 5
  • Total pull requests: 12
  • Average time to close issues: 4 months
  • Average time to close pull requests: about 1 month
  • Total issue authors: 2
  • Total pull request authors: 3
  • Average comments per issue: 3.4
  • Average comments per pull request: 1.17
  • Merged pull requests: 11
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 3
  • Average time to close issues: N/A
  • Average time to close pull requests: 10 days
  • Issue authors: 0
  • Pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 1.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
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  • SilkeGerlich (4)
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  • carpentries-bot (7)
  • SilkeGerlich (4)
  • apirogov (3)
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