2019 Workshop on Interoperability of Metadata Standards in Cross-Domain Science, Health, and Social Science Applications II


Schloss Dagstuhl – Leibniz Center for Informatics, Wadern, Germany, October 7-11, 2019


The goal of the workshop is a better understanding of how metadata specifications can be aligned to support cross-discipline (or cross domain) data integration and analysis. Standards from the social, health and environmental sciences, along with generic all-purpose metadata standards will be under consideration. Three pilot studies in infectious disease, disaster risk and resilient cities provide the framework to test the proposed strategies.

Detailed Workshop Description

Topics Overview

The workshop is designed to focus on two dimensions in the interdisciplinary use of data and metadata:

  • From high-level to detail: How to support discovery of data on the basis of a high-level description, and possibly also on more details like concepts related to observations and variables? How to support analysis of data across domains?
  • From domain-specific to cross-domain: How can domain-specific data/metadata be transformed in a way that cross-domain approaches regarding discovery and analysis can be supported?

We propose to address those dimensions through the following topics, with a focus on application to two or three case studies. Each area will cover:

  • Discovery of data by human and programmatic search.
  • Description of provenance.
  • Harmonization of domain-specific data and metadata for the purpose of building an integrated data repository for the purpose of a project.
  • Preparation of the data/metadata for analysis.
  • Publication of data (for secondary use).

This work will serve as the basis for a draft set of guidelines for cross-domain projects, to be promoted more widely. Both the specific projects and more generic requirements will be addressed.

Draft Agenda and Proposed Output

Pre-workshop teleconferences

90 minutes each:

Dagstuhl agenda (link to detailed agenda)


   participants, previous work, overview of pilot studies


Refine the definition of the problem:
   technical requirements, stakeholders, platforms, data resources


Specify solution(s): 
   guidelines, schemas & vocabularies, platforms, algorithms, data conversion strategies, stages, patterns, gaps ...

   implement proof-of-concept solutions: schemas, code, tests


Reviewing and testing prototypes, plan next actions, wrap-up

Link to Dagstuhl Daily Schedule (meal times, etc.)

Related Material
Organizers and Participants


  • Simon Cox, CSIRO Australia and W3C Dataset Exchange Working Group
  • Arofan Gregory, Consultant and DDI Alliance
  • Simon Hodson, CODATA - Committee on Data of the International Science Council (ISC)
  • Steven McEachern, Australian National University and DDI Alliance
  • Joachim Wackerow, GESIS - Leibniz Institute for the Social Sciences and DDI Alliance


Participants list (2019-09-19)

Local Information

Dates: October 7-11, 2019

The workshop takes place at Schloss Dagstuhl – Leibniz Center for Informatics. It has the Dagstuhl event number 19413 and a related web page.

See the separate page for practical information.