Opening up Research and Data Day2 - FORCE11 Scholarly Communication Institute (FSCI)

FORCE11 Scholarly Communications Institute at the University of California, San Diego is a week long summer training course on improving research and communication

Transcript

1. Opening up Research and Data FORCE11 FSCI | University of California, San Diego Slides Link: http://tiny.cc/fsci-mt6-2 Gaurav Godhwani | Handle: @gggodhwani Technical Lead - Open Budgets India - CBGA | Chapter Lead - DataKind Bangalore
2. Session 3: Discuss Key Aspects related to Open Data
3. Session Outline - Open Data Licences - Indexing, Searching and Reusing Open Data - Open Data Ethics and Privacy - Open Data Visualization
4. Open Data Licences
5. Open Data Licences An open licence allows users to do things like: • Republish the content or data on their own website • Derive new content or data from yours • Make money by selling products that use your content or data • Republish the content or data while charging a fee for access Source: CC-BY-SA Open Data Institue https://theodi.org/guides/publishers-guide-open-data-licensing
6. Open Data Licences According to the open definition, there are only two kinds of restrictions that an open licence can place: • that reusers must give attribution to the source of the content or data • that reusers must publish any derived content or data under the same licence (this is called share-alike) Source: CC-BY-SA Open Data Institue https://theodi.org/guides/publishers-guide-open-data-licensing
7. Open Data Licences We can choose to make data open under one of three levels of licence: 1. a public domain licence has no restrictions at all (technically, these indicate that you waive your rights to the content or data) 2. an attribution licence just says that reusers must give attribution to you 3. an attribution & share-alike licence says that reusers must give attribution and share any derived content or data under the same licence Source: CC-BY-SA Open Data Institue https://theodi.org/guides/publishers-guide-open-data-licensing
8. Image Source: https://creativecommons.org/about/downloads/
9. Creative Commons Data Licences CC0 enables users to freely build upon, enhance and reuse the works for any purposes without restriction under copyright or database law. Image Source: https://en.wikipedia.org/wiki/File:CC0_button.svg
10. Creative Commons Data Licences Source: https://creativecommons.org/2012/09/12/europeana-releases-20-million-records-into-the-public-domain-using-cc0/ Europeana puts more than 20 million records into the public domain using CC0. The Europeana dataset consists of descriptive information from a huge trove of digitized cultural and artistic works.
11. Creative Commons Data Licences Image Source: https://www.digital-science.com/products/figshare/ Figshare has adopted CC0 as the default tool for researchers to share their datasets, it is a way to remove any legal doubt about whether researchers can use the data in their projects.
12. Creative Commons Data Licences You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Image Source: https://commons.wikimedia.org/wiki/File:CC-BY_icon.svg
13. Creative Commons Data Licences Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Image Source: https://commons.wikimedia.org/wiki/File:CC-BY_icon.svg
14. Creative Commons Data Licences Under the following terms: No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. Image Source: https://commons.wikimedia.org/wiki/File:CC-BY_icon.svg
15. Creative Commons Data Licences Image Source: ABS https://www.mobileiron.com/sites/default/files/customers/lg-svg/ABS.png Image Source: Data.gv.au https://pbs.twimg.com/profile_images/587786515750621184/dHscsgY0.jpg Image Source: Geoscience Australia https://sentinel.ga.gov.au/img/geoscience_inline.png
16. Creative Commons Data Licences You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Image Source: https://commons.wikimedia.org/wiki/File:CC-BY-SA_icon.svg
17. Creative Commons Data Licences Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Image Source: https://commons.wikimedia.org/wiki/File:CC-BY-SA_icon.svg
18. Creative Commons Data Licences Under the following terms: ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. Image Source: https://commons.wikimedia.org/wiki/File:CC-BY-SA_icon.svg
19. Creative Commons Data Licences Under the following terms: No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. Image Source: https://commons.wikimedia.org/wiki/File:CC-BY-SA_icon.svg
20. Creative Commons Data Licences Image Source: http://wiki.dbpedia.org/ DBpedia is a Public Data Infrastructure for a Large, Multilingual, Semantic Knowledge Graph. DBpedia 2016-10 release consists of 13 pieces of information (RDF triples). All under CC-BY-SA 3.0
21. Open Data Commons
22. ODC Public Domain Dedication and License (PDDL) Image Source: https://opendatacommons.org/licenses/pddl/
23. Open Data Commons Attribution License Image Source: https://opendatacommons.org/licenses/by/summary/
24. Open Data Commons Open Database License (ODbL) Image Source: https://opendatacommons.org/licenses/odbl/
25. Open Data Commons Open Database License (ODbL) Image Source: https://commons.wikimedia.org/wiki/File:Openstreetmap_logo.svg
26. Creative Commons Or Open Data Commons? • What is the difference between the Open Data Commons licenses and the CC 4.0 licenses? • Why Not Use a Creative Commons (or Free/Open Source Software License) for Data(bases)?
27. Indexing, Searching and Reusing Open Data
28. Tim Berners-Lee’s 5-Stars of Open Data Image Source: http://ec.europa.eu/newsroom/itemdetail.cfm?item_id=27191&newsletter=126
29. https://index.okfn.org/
30. http://opendatabarometer.org
31. https://www.opendatanetwork.com/
32. http://docs.socratadiscovery.apiary.io
33. http://dataportals.org/
34. http://openprism.thomaslevine.com/
35. But can we make our Open Data Searchable on Google?
36. But can we make our Open Data searchable on Google? • Ensure to have a detailed Sitemap of your platform
37. But can we make our Open Data searchable on Google? • Have SEO optimized Metadata Image Source: https://adwords.googleblog.com/2013/05/introducing-keyword-planner-combining.html
38. But can we make our Open Data searchable on Google? • Setup a Google Webmaster Console Image Source: https://webmasters.googleblog.com/2012/05/navigation-dashboard-and-home-page.html
39. But can we make our Open Data searchable on Google? • Measure and re-iterate Image Source: http://mediashift.org/2017/07/social-and-digital-certifications-what-they-are-and-why-educators-should-get-them/
40. But can we make our Open Data searchable on Google? • Setups alerts for your key datasets and categories
41. Open Data Ethics and Privacy
42. Defining Risks “The probability of something happening multiplied by the resulting cost or benefit if it does” (Oxford English Dictionary) Three parts: • Cost/benefit • Probability • Subject Source: Sara-Jayne Terp https://www.slideshare.net/bodacea/risks-and-mitigations-of-releasing-data
43. Risk of What? • Physical harm • Legal harm (e.g. jail, IP disputes) • Reputational harm • Privacy breach Source: Sara-Jayne Terp https://www.slideshare.net/bodacea/risks-and-mitigations-of-releasing-data
44. Risk to Whom? • Data subjects (elections example) • Data collectors (conflict example) • Data processing team (military equipment example) • Person releasing the data (corruption example) • Person using the data Source: Sara-Jayne Terp https://www.slideshare.net/bodacea/risks-and-mitigations-of-releasing-data
45. Personal Identifiable Information “Personally identifiable information (PII) is any data that could potentially identify a specific individual. Any information that can be used to distinguish one person from another and can be used for de- anonymizing anonymous data can be considered PII.” Source: Sara-Jayne Terp https://www.slideshare.net/bodacea/risks-and-mitigations-of-releasing-data
46. Spotting Red Flags • Names, addresses, phone numbers • Locations: lat/long, GIS traces, locality (e.g. home + work as an identifier) • Members of small populations • Untranslated text • Codes (e.g. “41”) • Slang terms • Can be combined with other datasets to produce PII Source: Sara-Jayne Terp https://www.slideshare.net/bodacea/risks-and-mitigations-of-releasing-data
47. Consider Partial Release to only Some Groups • Academics • People in your organisation • Data subjects • Release at lower granularity • Town/district level, not street • Subset or sample of data ‘rows’ • Subset of data ‘columns’ Source: Sara-Jayne Terp https://www.slideshare.net/bodacea/risks-and-mitigations-of-releasing-data
48. Include locals Locals can spot: • Local languages • Local slang • Innocent-looking phrases Locals might also choose the risk Source: Sara-Jayne Terp https://www.slideshare.net/bodacea/risks-and-mitigations-of-releasing-data
49. Open Brain Consent
50. De-identifying Data https://responsibledata.io/forums/discussion-mini-s eries-on-de-identifying-data/
51. Open Data Visualizations
52. Image Source: https://github.com/apache/incubator-superset
53. Image Source: https://eng.uber.com/deck-gl-4-0/
54. Image Source: http://uber.github.io/deck.gl/blog/2017/rendering-minecraft-with-deckgl
55. Session 4: Open Discussions & Use Cases
56. http://opendata.atlas.cern/
57. URL: https://openbudgetsindia.org Slides URL: http://tiny.cc/obi-fifthel Code: https://github.com/cbgaindia Talk: https://youtu.be/tX7-Ega6OxA
58. Thanks Everyone