Welcome to bioCADDIE DATS’s documentation¶
NOTE: this documentation has been replaced by the documentation at the Data Tag Suite github organization
DATS, which stands for DAta Tag Suite, is a data description model designed and produced to describe datasets being ingested in DataMed, a prototype for data discovery developed as part of the NIH Big Data 2 Knowledge bioCADDIE project.
For more information about DATS, please check the DATS pre-print available in bioarxiv. For more information about DataMed, please check the DataMed pre-print available in bioarxiv. For more information about the objectives of the bioCADDIE project, please have a look at the bioCADDIE White Paper.
This documentation describes the DATS model and how to use it. More details about how DATS was designed and how it relates to other models can be found in the aforementioned documents as well as in the documents accompanying each of the releases.
Table of Contents:
- 1. First Steps with DATS
- 2. DATS Model
- 3. DATS Counting things:
- 4. DATS Measuring things:
- 5. Dataset Distribution
- 6. Dataset Creator(s)
- 7. Dataset About
- 8. Dataset Provenance
- 9. Frequently Asked Questions
The different releases of DATS are available in the bioCADDIE Working Group 3 Github Repository, including documents and appendixes, JSON schemas, JSON-LD context files and JSON-LD instance files. Each release is preserved in the Zenodo repository and has its own persistent Digital Object Identifier (DOI). All releases in Zenodo can be accessed through the Zenodo DATS Community.