ODQ 2015 - Open Data Quality: from Theory to Practice

The amount and variety of open data published by governments is increasing. A sufficient level of data quality is one of the preconditions for an effective open data reuse, which in turn is supposed to increase governments’ transparency and to create business opportunities. In particular, the “open” nature of a data set magnifies the implications of its contextual quality: open data are supposed to stimulate serendipitous reuse and generate unexpected mixes and matches, but this requires that virtually anybody with the required technical is able to understand the data, port them to other systems, etc.
ODQ2015 aims at setting up a multidisciplinary dialogue that translates theoretical inputs for the evaluation of data quality (including a focus on the assessment of linked open data quality) into the adoption of shared practices for quality assurance. To this end, the workshop will firstly review the main theoretical references on open data quality evaluation, including recent contributions by researchers in the field. Secondly, examples of good and bad practices of open government data publication will be presented and discussed. Finally, the workshop will take theory and practice as inputs to define pragmatic “tool chains” and pipelines to be adopted by data publishers so to ensure that their data is of high quality, and can be enriched and versioned over time.
The workshop will be held as part of the Joint Research Action on “Evidence and Experimentation” (JRA3) of the Network of Excellence in Internet Science (http://evidence.internet-science.eu/).
Draft programme
Morning session (10:00-12:30)
Introduction by Organizing Committee
Theory: presentation of academic contributions selected from a call for abstracts.
Practice: presentation of experiences from invited speakers from public administration and businesses.
Afternoon session (13:30-18:00)
Working groups focusing on selected topics and mixing academic researchers and practitioners.
Plenary synthesis session to draft the workshop takeaway.
Location
Technische Universität München | Boltzmannstr. 3 , 85748 Garching bei München | Institut für Informatik
Key dates
Deadline for submission (short papers, 2-4 pages): 6 February 2015
Notification of acceptance: 20 February 2015
Deadline for camera ready: 6 March 2015
Workshop: 30 March 2015, 10:00 - 18:00
Topics
Topics of interest include -but are not limited to- the following.
- Tool chains for open data quality improvement (e.g., enrichment pipeline, versioning pipeline, quality assurance pipeline).
- Open data quality metrics and empirical evaluations.
- Good/bad practices in data disclosure.
- Assessment of the quality of data services (e.g., API to expose frequently changing data).