Calcyte is (will be) a toolkit for managing metadata for collections of content
via automatically generated spreadsheets and for creating static HTML repositories.
Calcyte targets the Draft DataCrate Packaging format v0.2.
At this stage Calcyte does not Bag content, it jsut creates Working DataCrates.
This document specifies a method of organising file-based data with associated metadata, known as DataCrate in both human and machine readable formats, based on the schema.org linked-data vocabularly, supplemented with terms from the SPAR ontologies and [PCDM] where schema.org does not have coverage. The motivation for this work comes from the research domain.
A DataCrate is a dataset a set of files contained in a single directory. There are two ways of organizing a DataCrate.
For working data or data that does not need to be distributed with checksums, a Working DataCrate is a plain-old directory containing payload data files, with two metadata files at the root; one for humans and one for machines.
For distribution, or archiving; where integrity is important, a Bagged DataCrate is a BagIt bag conforming to the DataCrate BagIt profile with the payload files in the /data directory. A Bagged DataCrate has a clear separation between metadata and payload, and can be integrity-checked using the checksums in the BagIt manifest.
Calcyte is (will be) a toolkit for managing metadata for collections of content
via automatically generated spreadsheets and for creating static HTML repositories.
Calcyte targets the Draft DataCrate Packaging format v0.2.
At this stage Calcyte does not Bag content, it jsut creates Working DataCrates.
Within GOKb, participants can work on creating high-quality data in areas that mesh with their skills and priorities. The data can then be reused by anyone, for any purpose. Potential use cases include knowledge bases providers looking to supplement their data, libraries building open source software, and individuals experimenting with open data.