The SciData framework, encoded in JSON-LD, is a powerful approach to storing data in a format that can be easily saved, shared, archived, read by humans and converted into RDF. This site is the central resource for development updates, data, and code to create, store and use scientific data stored in the SciData JSON-LD format. This work is supported by the National Science Foundation.
Data
- Chemical Twin Dataset
- NIST TRC ThermoML Archive Data from the Chalk Research Group
- CakePHP Website to Process the data
(an instance of this site is here) - As a MySQL Database
- As a set of JSON-LD Files
- JSON-LD Files for each journal: FPE, IJT, JCT, JCED, TCA
- A SPARQL endpoint for the TRC dataset is coming soon...
- CakePHP Website to Process the data
News
- KnowLedger Grant Funded by NIST - A proof-of-concept project to evaluate SciData JSON-LD as the basis for a Digital Research Notebook (DRN) for normalization of synchrotron data. This project incorporates SciData JSON-LD as the normalized data format and Git (version control) and