Download as PDF, PPTX
Uploaded byOpen Knowledge Belgium
The role and value of making data inventories
The document discusses the significance of data inventories in achieving mature data governance, emphasizing the need for transparency and effective data management in local governments. It outlines the challenges posed by privacy regulations like GDPR and the inefficiencies of current data security practices, advocating for an 'open by design' approach. Additionally, it highlights the importance of engaging various stakeholders in the data inventory process to foster better communication and improve policy outcomes.
More Related Content
Similar to The role and value of making data inventories
![[DSC DACH 23] The building blocks of a successful data strategy - Mario Meir-...](https://cdn.slidesharecdn.com/ss_thumbnails/dscdach-230424075701-41fd13a5-thumbnail.jpg?width=600ounds&width=560&fit=bounds)
More from Open Knowledge Belgium
![Agentic Systems and Compliance - A brief intro [1.2]](https://cdn.slidesharecdn.com/ss_thumbnails/agenticsystemsandcompliace-1-251018025303-958a42ec-thumbnail.jpg?width=600ounds&width=560&fit=bounds)
![Matrix and determinant URT [Autosaved].pptx](https://cdn.slidesharecdn.com/ss_thumbnails/matrixanddeterminanturtautosaved-251018190340-9e6a6deb-thumbnail.jpg?width=600ounds&width=560&fit=bounds)
The role and value of making data inventories
- 1. The role andvalue of making data inventories a key step towards mature data governance #openbelgium Louvain-la-Neuve,12 March 2018 Ton Zijlstra, @ton_zylstra, thegreenland.eu, slides: https://grnl.eu/in
- 2. The role andvalue of making data inventories Province Utrecht Province Fryslân Province North-Holland City Eindhoven City Leeuwarden City Delft
- 3. 1 high timefor mature data governance www.flickr.com/photos/31954002@N08/14811288593/
- 4. digital isn’t paperredone
- 5. digital changes howwe look at • openness: access is different from re-use • privacy: different types of usage • security: non-binary • archiving: earlier in information processes
- 6.
- 7.
- 8.
- 9.
- 10. security fence • ‘baselineinformation security’ for local/regional govs determines what data is critical • Uptime: IT infrastructure, dependencies, service levels • Quality: tamper free, audit processes, checks on inputs, knowing sources • Uptime fits the fence tactic, quality doesn’t
- 11. openness fence • atrequest, additional process • stated end game is ‘actively open by design’ • open data is becoming infrastructure (e.g. ‘omgevingswet’) • fence tactic is inefficient
- 12. • data sovereigntyis under threat • not enough attention at data level • fence tactic is ineffective openness fence
- 13. • complaints about compliancecosts • house not in order • PSI Directive Review confirms openness fence www.flickr.com/photos/wfabry/2157854271/
- 14. • done onlevel of organisation or system • GDRP is here, creates uncertainty • excuse for ‘closed by design’ • making lists for the fence, not processes privacy fence
- 15. • right toreview • right to portability • right to be forgotten (archiving) • “by design, and state of the art”, and is enforced • can only be done at data level, and processes tapping into data • the fence tactic fails completely
- 16. • GDPR demands‘by design’ • no sense on its own • openness, archiving, security (Q) as well • focus on data GDPR opportunity for ‘everything by design’
- 17. open 30 yrlimit person related 3rd party rights business critical data focus & ‘everything by design’, not fences
- 18. 2 local datainventories a first step
- 19. local is whereyou are, but not the data pro’s
- 20. value, impact policy issue peopleopen data connecting people and issues needs data knowledge
- 21. Actief uitnodigend published inventorytriggers demand http://www.flickr.com/photos/dhammza/492882480/
- 22. new local datameans new relations & choices
- 23. inventories help havingthe right conversations external stakeholders data person policy maker 3rd party internal stakeholders domain specialist legal person
- 24.
- 25. starting points • liststructured data sets only • up to 80 facets • policy domain, internal usage, current availability, technical details, legal aspects, and concerns
- 26. don’t make assumptions, becausehouse not in order • don’t assume your list of applications will tell you • don’t assume IM knows • don’t assume people know • don’t assume people know details, look inside with them • don’t assume it is what it says on the tin
- 27. • actually usedapplications • all units, actual work • data structures and content • large projects / programs • external communications • cross reference it all deep dive www.flickr.com/photos/jphotos/5945632837/
- 28. tactic 1: externalteam • consistent, no assumptions • experience • re-use of results • client buy-in can be low • hand-over can be hard • the work is not an intervention itself
- 29. tactic 2: ext./clientteam • train client team • consistency • experience & re-use • needs more scripted approach • quality can be issue • client team continuity • islands likely remain
- 30. tactic 3: clientteam / employees • train client team • very scripted approach • process facilitators • adoption designed into process • work shifted to colleagues • general buy-in critical • quality output trade-off • no guaranteed adoption
- 31. 28Typical situation (local67%, <5%, 33%) Data inventory Province Fryslân 2016 • 1055 data sets found (767 geo) • 201 public (19%), of which 151 (14%) open data (all geo) • 841 more could be public (79%), after changes (304, 29%) • 17 (2%) must stay closed
- 32. allows filtering onall relevant questions
- 33. published, and usedto select next publication round
- 34. www.flickr.com/photos/dteslya/4254871326/ Legal (GDRP, infosec) IT/architecture(infosec) Data people (data q, openness) Archiving Policy people (openness as instrument) involving all from start helps handover
- 35. summary • information householdis often of poor quality • tear down the ‘fences’ • inventories help make a start, if you see it as a conversation tool not just another list • helps connect ‘everything’ by design, as step towards mature data governance • articulates demand, allows data as policy instrument
- 36. Thank you. Merci.Hartelijk dank. All photos: Ton Zijlstra, by Except screenshots, and where mentioned on the photo. Slides: Ton Zijlstra / The Green Land, by nc sa Slides: https://grnl.eu/in Site: https://thegreenland.eu Contact: ton@thegreenland.eu @ton_zylstra