https://github.com/centre-for-humanities-computing/data-management-schema-draft
prototype for FAIR-like metadata
https://github.com/centre-for-humanities-computing/data-management-schema-draft
Science Score: 13.0%
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○CITATION.cff file
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✓codemeta.json file
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○.zenodo.json file
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.4%) to scientific vocabulary
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Repository
prototype for FAIR-like metadata
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Metadata Files
README.md
CHCAA Data Management "Draft"
We have based our DM metadata structures on DCAT where we found it suitable.
Structure
Dataset
A Dataset represents a collection of data. This could be a collection of tweets (Twitter), articles from news papers, historical documents etc. A Dataset can be based on another Dataset where som processing has occurred e.g. filtering, stemming etc. The Dataset will the reference the Dataset it is based on as well as the code / link to code and a description of how to reproduce the Dataset. For computational heavy derived Datasets the processed Dataset can be included a well (both the data and code should then be included as individual distributions of the Dataset (see the examples))
Catalog
A Catalog describes a set a data often grouped together under a specific topic and with a specific purpose e.g. "Covid-19", "DK-Primary-Election-2018", "Eurovision-2019"
Considerations
- Ids is now name based to make it easier to understand the relationships when reading manually. This is no ideal if a dataset is still in development e.g. if we have a dataset we call js-web-articles-2019-2020 but we end including articles until 2021 we need to change the id and all references. And easy fix is just use integer/hex based id's but this hurts the mnaual readability.
- When we base a dataset on another dataset how do we handle that the dataset based on changes? The results could
then be different the next time
Inspiration
- DCAT the original DCAT vocabulary
- ckanext-dcat a json example based on DCAT
Owner
- Name: Center for Humanities Computing Aarhus
- Login: centre-for-humanities-computing
- Kind: organization
- Email: chcaa@cas.au.dk
- Location: Aarhus, Denmark
- Website: https://chc.au.dk/
- Repositories: 130
- Profile: https://github.com/centre-for-humanities-computing
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