Open Data Roundtable

A 60 minute main stage panel discussion on Wikimedia, Wikidata and Open Data, presented by The Guardian.

12:30 Friday 8th August, Barbican Hall

Participants

• Chair: Jemima Kiss, Head of Technology at The Guardian
• Nigel Shadbolt, Chairman Open Data Institute
• Lydia Pintscher, Product Manager Wikidata
• Markus Krötzsch, Semantic web & Wikidata expert
• Viktor Mayer-Schönberger, Author Big Data
• Mike Bracken, Executive Director of Digital in the UK Cabinet Office
• Rufus Pollock, Founder of The Open Knowledge Foundation
• Peter Murray-Rust, Shuttleworth Fellow in machine readable scholarship
• Elizabeth Marincola, Chief Executive Officer of The Public Library of Science
• Richard Stirling, International Director Open Data Institute

Questions / Topics

• Wikidata and open datasets]
• Suggest
• How can the production of more and better open data be made profitable, so that people can earn a living from doing a good work, and avoid that this is reduced to a hobby for a few enthusiasts? --LA2 (talk) 12:43, 23 July 2014 (UTC)
  • Or more fundamentally: What is the best balance between monetary incentives and non-monetary incentives for contributors; which elements benefit and which suffer from the provision of payments to contributors. Filceolaire (talk) 18:20, 29 July 2014 (UTC)
• The purpose of data is to produce knowledge or insight. What are some of the current gaps or challenges of converting open data into open knowledge? What can we do to move to a healthy (er) system of knowledge production? Promelior (talk) 17:37, 23 July 2014 (UTC)
• What do we do when data becomes obsolete? Are they kept as a record? What if data were (knowingly) false, but used in some articles? How is this to be dealt with? --WiseWoman (talk) 12:59, 24 July 2014 (UTC)
• How can Semantic MediaWiki be leveraged as tool to provide and consume OpenData? --Bernhard Krabina (talk) 09:20, 30 July 2014 (UTC)
• For businesses (of various sectors/industries) that claim to be ethical, responsible, open, honest and accountable etc, what are the DOs and DONTs in respect of their open data practices?