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

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titlePurpose

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


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titleTopics 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.


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titleDraft Agenda and Proposed Output

Pre-workshop teleconferences

90 minutes each:

Dagstuhl agenda (link to detailed agenda)

DayTopicOutputs
Monday

Introductions 
   participants, previous work, overview of pilot studies


Tuesday

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


Wednesday

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


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

Friday

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


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



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titleRelated Material

Related material.


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titleOrganizers and Participants

Organizers:

  • 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

Facilitator:

Participants list (2019-09-19)




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titleLocal 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.


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