Schloss Dagstuhl – Leibniz Center for Informatics, 1 – 5 October 2018, Wadern, Germany
A workshop on the practical application of computer science to enable data sharing and data interoperability across disciplinary boundaries was hosted at the internationally renowned computer science institute at Schloss Dagstuhl in Germany. The event was sponsored by CODATA (the Committee on Data of the International Science Council), and the Data Documentation Initiative Alliance (DDI), and subsidized by Dagstuhl; it was organized by Simon Cox (CSIRO Australia and W3C Dataset Exchange Working Group), Simon Hodson (CODATA), Steven McEachern (Australian National University and DDI Alliance), Joachim Wackerow (GESIS – Leibniz Institute for the Social Sciences and DDI Alliance). The workshop brought together 24 participants from many different domains. These included representatives of a number of metadata specifications, as well as researchers involved in pilot projects currently being pursued as part of the ISC and CODATA Data Integration Initiative. A duration of 5 days, and the relative isolation and unique dynamics of Dagstuhl, encourages intense involvement on the part of all participants (as described on the DDI site here).
The workshop examined how modern web-friendly computer science techniques and standards could better enable data-sharing in the context of the Data Integration Initiative pilots. These are major cross-disciplinary data integration projects to advance solutions for three important global challenges: infectious disease outbreaks, resilient cities, and disaster risk reduction. The infectious disease pilot builds on work by the Infectious Diseases Data Observatory (IDDO) to support both research and humanitarian efforts, with Ebola used as the primary example for discussion. The resilient cities pilot focuses on the work in Medellín, Columbia, in partnership with Resilience Brokers. Examples involved air quality measurement, location of hospitals, and geo-spatial data. The disaster risk reduction pilot, led by Public Health England in partnership with the Integrated Research on Disaster Risk is looking at how data could support the Sendai Framework, especially in cases where the SDG indicators would not be sufficient. Different approaches for obtaining data both from within and from outside the realm of official statistics were explored, with an emphasis on research data. In each case, data integration presented significant challenges.
To read more, see the Data Integration Initiative website