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Open, Metadata-Enriched, Non-Proprietary Data Format for Data Dissemination

Authors :
Xiaoyao Han
Claudia Saalbach
Publication Year :
2022
Publisher :
Zenodo, 2022.

Abstract

Researchers in the social sciences use various software for statistical analysis of rectangular, structured data . The various data formats which are only partially compatible impede data exchange and reuse. In particular, proprietary data formats endanger those in the FAIR principles enshrined demand for interoperability. The project Open Data Format aims to develop a non-proprietary Open Data Format enriched with multi-level metadata that can be collectively used in popular statistical software. At the same time, The Open Data Format can be enriched with multilingual metadata as well as further links to data portals, which allows direct access to online documentation materials via the statistical software itself. The project is in the frame of KonsortSWD, consortium for the social, behavioural, educational and economic sciences and is funded by NFDI. In this conference we would like to introduce our work from current stage, including specification of metadata profile and development of technical import and export filters for the statistical program R and Stata.

Subjects

Subjects :
metadata, FAIR, Interoperability

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....170bcc4870a53bc84c1c4b93439d4cf6
Full Text :
https://doi.org/10.5281/zenodo.7185670