[CODATA-international] Summary Report: "Interoperability of Metadata Standards in Cross-Domain Science, Health, and Social Science Applications II

Asha CODATA asha at codata.org
Mon Nov 25 06:10:42 EST 2019

*Schloss Dagstuhl Event 19413

[image: Workshop participants standing in front of the chapel at Schloss
Dagstuhl in Wadern, Germany.Description automatically generated]

A week-long workshop <https://ddi-alliance.atlassian.net/wiki/x/FwDIK> was
held on the subject of standards in cross-domain data use for science,
health, and social science at Schloss Dagstuhl - the Leibniz Center for
Informatics in Wadern
<https://www.dagstuhl.de/en/program/calendar/evhp/?semnr=19413>, Germany,
6-11 October 2019. The meeting was sponsored by CODATA
<http://www.codata.org/>, the data-focused arm of the International Science
Council <https://council.science/> (ISC), and the DDI Alliance
<https://ddialliance.org/>, an international member-driven consortium which
provides technical standards for research data in the social, behavioral,
economic, and health sciences. CODATA is currently working towards a launch
of a decadal programme on cross-disciplinary data as part of the ISC’s
Science Action Plan
The DDI Alliance is now developing an information model for integrating
data across domain boundaries. The workshop was subsidized by Schloss
Dagstuhl - the Leibniz Center for Informatics.
Workshop series

This workshop was the second addressing this important topic, the earlier
one <https://ddi-alliance.atlassian.net/wiki/x/GYDXGQ> also taking place at
Dagstuhl in October 2018. Both focused on specific real-world use cases:
the first was an exploration of specific issues encountered in the use of
data across domain boundaries; the second aimed at producing practical
guidance for addressing them.

Among other outcomes, the first workshop contributed to the work on the
next-generation DDI model, making it a more suitable tool for dealing with
cross-domain data integration independent of the social sciences. Other
standards and models were also examined (e.g. spatio-temporal aspects of
DCAT <https://www.w3.org/TR/vocab-dcat-2/>). This focus on practical
guidance for cross-domain data use is expected to continue into the ISC’s
decadal programme.

Workshop participants included representatives of use cases and technology
and standards experts across several different domains, including the
social, behavioral, and economic sciences, geophysical and environmental
science, health research, disaster risk reduction, urban planning and
policy, and the UN's Sustainable Development Goals
Standards concerned with statistical and research data and metadata were an
important consideration (e.g., DDI, SDMX <https://sdmx.org/>) and
specialized application schemas (e.g. OBO vocabularies from the life
sciences, ISO 19115 from geospatial data community). Technical experts
ranged from those involved in developing standards to systems
implementers.  Almost half of the participants overlapped with the first
Read this report as a pdf: *https://doi.org/10.5281/zenodo.3552296

Read the *full report on the CODATA website



*Beijing Declaration on Research Data*
8 November 2019 on UNESCO World Science Day

*Message from CODATA President, Barend Mons*

*October 2019 Publications*
the CODATA Data Science Journal <https://datascience.codata.org/> *

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Asha Law | Program Assistant, CODATA | http://www.codata.org

E-Mail: asha at codata.org
Tel (Office): +33 1 45 25 04 96

CODATA (Committee on Data of the International Council for Science), 5 rue
Auguste Vacquerie, 75016 Paris, FRANCE
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