1 / 14

Open data – opportunities and challenges for the geological survey community

Open data – opportunities and challenges for the geological survey community. GIC 28, Orléans , June 3 rd 2013 Richard Hughes. What is Open Data? Where and why? What are open data approaches achieving? What are the opportunities and challenges for our community?

duard
Télécharger la présentation

Open data – opportunities and challenges for the geological survey community

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Open data – opportunities and challenges for the geological survey community GIC 28, Orléans, June 3rd 2013 Richard Hughes

  2. What is Open Data? • Where and why? • What are open data approaches achieving? • What are the opportunities and challenges for our community? • How can these be balanced - the way forward? Acknowledgements: screenshots,images, logos from Google, Open Knowledge Foundation. Also ubiquitous computing, mobile platforms etc.

  3. What does ‘Open Data’ mean? ‘Open data is data that can be freely used, re-used and re-distributed by anyone – subject only to the requirement to attribute’ (OpenDefinition.org). Key features: • Availability and access: data available in suitable machine-readable format free of charge (or at reasonable reproduction cost), preferably by web download • Re-use and re-distribution: data provided under unrestricted re-use and re-distribution terms, including ‘mashing’ with other data-sets • Universal participation: everyone must be able to use, re-use and re-distribute, with no discrimination or restrictions (e.g. ‘commercial’ and ‘non-commercial’ use) • cf. Open Source, Open Knowledge

  4. Where and why?

  5. Who’s driving it? See Sir Tim Berners-Lee on www.ted.com - ‘next generation web’

  6. Open data in science is not new • 1957-8: concept of open access to scientific data established with creation of World Data Centre system (International Geophysical Year) • 2004: science ministers of OECD nations declared all publicly funded data should be made publicly available; in 2007 this became ‘soft-law’ recommendation • Open access to research outputs in UK since 2006 • Fast, ubiquitous computing as a catalyst

  7. Arguments for open data • ‘Data belong to the human race’ - a very strong view with regard to genomes, data on organisms, medical science, and environmental data (e.g. fracking, rad-waste issues) • Data are essential for the smooth running of communal human activities (e.g. health care, education etc.) • ‘Public money was used to fund the work and so it should be universally available’ • Sponsors of research do not get full value unless the resulting data are freely available • Rate of discovery in science research is accelerated by better access to data • Transparency, empowerment, innovation and economic benefits…

  8. Economic impacts of open data • Open goverment data across EU would increase business activity by €40 BN with indirect benefits of €140 BN • Finnish SMEs grow 15% more with free geo-data; effect stronger after 2 years • 5000 jobs in Spain created by PSI re-use • Address data in Denmark Sources: EPSI Platform, Vickery study, www.adresse-info.dk

  9. Arguments against open data • Collecting, conditioning, managing and disseminating data are cost-intensive processes – providers should be able to recover their costs • If public funds are used to aggregate the data that benefit only a few commercial users, those users should reimburse costs of data provision • Privacy concerns, e.g. health data • Costs recovered or revenues earned by publishing data permits non-profit organisations to fund other activities

  10. Opportunities • Scientific collaboration • Human genome project • OneGeology • Mass collaboration (enabled by ubiquitous computing) - OpenStreetMap • OpenStreetMap year of edits

  11. Opportunities • Crowd-sourcing or ‘Citizen science’: ‘publish your data and harness the innovation, creativity and resources of the connected world’, e.g: • Zooniverse • mySoil mobile app

  12. Opportunities • Communicating the value of our work through higher visibility • Increasing socio-economic impacts and benefits

  13. Challenges of open data • Legal, privacy, commercial confidentiality • Probably the greatest challenge is financial – balancing desire to publish open data with the requirement to generate income • ’Freemium’ offers a balanced way forward - i.e. free data, chargeable information products and services – can also create new business opportunities

  14. Conclusions • Open data – a fast-growing movement supported by governments, citizens, and organisations worldwide • Presents huge opportunities: • Scientific collaboration • Citizen science • Raising visibility • New business models needed • How are you responding?

More Related