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.
This website is for information related to the CESAER Taskforce on Open Science, and in particular on its sub-group looking at how the Technical Universities in Europe deal with Engineering and Research Data Management. The group is working on two tasks Task 1 - FAIR Data in Engineering (2018-19) Read - Summary of First Findings on…
KomFor is the link between research and community based data facilities, libraries and journals collaborating to improve the quality and availability of research data in the earth sciences. The way to achieve this is by building sustainable and reliable ways for data publications in line with quality standards in scientific publishing. KomFor provides access to data publishing resources for projects, institutes, research groups, and individual reseachers, spanning the entire life-cycle of research data.
NISO is where content publishers, libraries, and software developers turn for information industry standards that allow them to work together. Through NISO, all of these communities are able to collaborate on mutually accepted standards
File naming is a vital first step for those beginning to digitise. This document examines planning and using an effective file naming system when managing digital files. This paper highlights the advantages of using the 8.3 convention and looks at some options when naming derivative, surrogate files.
The PREMIS maintenance activity is responsible for maintaining, supporting, and coordinating future revisions to the PREMIS data dictionary. The Preservation Metadata: Implementation Strategies Working Group, convened by OCLC and RLG, initially developed the PREMIS data dictionary as a specification with the goal of creating an implementable set of "core" preservation metadata elements, with broad applicability within the digital community. a supporting xml schema allows for implementation of element set and is maintained in network development marc standards office library congress.
The Dataverse Project is an open source software application to share, cite and archive data. Dataverse provides a robust infrastructure for data stewards to host and archive data, while offering researchers an easy way to share and get credit for their data.
BE-OPEN is a 30-months Horizon 2020 Coordination and Support Action that started on 01 January 2019, and addresses the call MG-4-2-2018 Building Open Science platforms in transport research.
Status: Recognised & Endorsed The Metadata IG will concern itself with all aspects of metadata for research data. In particular it will attempt to coordinate the efforts of the WGs concerned with metadata to produce a coherent approach to metadata covering metadata modalities of description, restriction, navigation, provenance, preservation and the use of metadata for the purposes discovery, contextualisation, validation, analytical processing, simulation, visualisation and interoperation. It will also liaise with the other WGs especially Data Foundation and Terminology, PIDs, Standardisation of data categories and codes and Data Citation. This IG activity relates to data management policies and plans of research organisations and researchers, and to policies and standards of research funders and of research communities which may or may not be official standards.