SlideShare una empresa de Scribd logo
1 de 36
Descargar para leer sin conexión
The role and value 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
The role and value of making data inventories
Province Utrecht
Province Fryslân
Province North-Holland
City Eindhoven
City Leeuwarden
City Delft
1 high time for mature data governance
www.flickr.com/photos/31954002@N08/14811288593/
digital isn’t paper redone
digital changes how we look at
• openness: access is different from re-use

• privacy: different types of usage

• security: non-binary

• archiving: earlier in information processes
three fences
security
three fences
security
openness
three fences
security
openness
privacy
three fences
security fence
• ‘baseline information 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
openness fence
• at request, additional process

• stated end game is ‘actively open by design’

• open data is becoming infrastructure (e.g. ‘omgevingswet’)

• fence tactic is inefficient
• data sovereignty is under threat

• not enough attention at data level

• fence tactic is ineffective
openness fence
• complaints about
compliance costs

• house not in order

• PSI Directive Review
confirms
openness fence
www.flickr.com/photos/wfabry/2157854271/
• done on level of organisation or system

• GDRP is here, creates uncertainty

• excuse for ‘closed by design’

• making lists for the fence, not processes
privacy fence
• right to review

• 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
• GDPR demands ‘by design’

• no sense on its own

• openness, archiving, security (Q) as well

• focus on data
GDPR opportunity for ‘everything by design’
open 30 yr limit
person related
3rd party
rights
business critical
data focus & ‘everything by design’, not fences
2 local data inventories a first step
local is where you are, but not the data pro’s
value, impact
policy issue
people open data
connecting people and issues needs data knowledge
Actief uitnodigend
published inventory triggers demand
http://www.flickr.com/photos/dhammza/492882480/
new local data means new relations & choices
inventories help having the right conversations
external stakeholders data person
policy maker
3rd party
internal
stakeholders
domain specialist
legal person
https://www.flickr.com/photos/mikecogh/11300349426
3 process and results
starting points
• list structured data sets only

• up to 80 facets

• policy domain, internal usage, current availability,
technical details, legal aspects, and concerns
don’t make assumptions,
because house 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
• actually used applications

• 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/
tactic 1: external team
• 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
tactic 2: ext./client team
• train client team

• consistency

• experience & re-use
• needs more scripted
approach

• quality can be issue

• client team continuity

• islands likely remain
tactic 3: client team /
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
28Typical situation (local 67%, <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
allows filtering on all relevant questions
published, and used to select next publication round
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
summary
• information household is 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
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

Más contenido relacionado

La actualidad más candente

Cyber Summit 2016: Privacy Issues in Big Data Sharing and Reuse
Cyber Summit 2016: Privacy Issues in Big Data Sharing and ReuseCyber Summit 2016: Privacy Issues in Big Data Sharing and Reuse
Cyber Summit 2016: Privacy Issues in Big Data Sharing and ReuseCybera Inc.
 
Big data presentation for University of Reykjavik, Iceland, March 22
Big data presentation for University of Reykjavik, Iceland, March 22 Big data presentation for University of Reykjavik, Iceland, March 22
Big data presentation for University of Reykjavik, Iceland, March 22 Thorhildur Jetzek, Ph.D.
 
Draft current state of digital forensic and data science
Draft current state of digital forensic and data science Draft current state of digital forensic and data science
Draft current state of digital forensic and data science Damir Delija
 
Big data security challenges and recommendations!
Big data security challenges and recommendations!Big data security challenges and recommendations!
Big data security challenges and recommendations!cisoplatform
 
Why i hate digital forensics - draft
Why i hate digital forensics  -  draftWhy i hate digital forensics  -  draft
Why i hate digital forensics - draftDamir Delija
 
State of Florida Neo4J Graph Briefing - Keynote
State of Florida Neo4J Graph Briefing - KeynoteState of Florida Neo4J Graph Briefing - Keynote
State of Florida Neo4J Graph Briefing - KeynoteNeo4j
 
Security and Legitimacy in a Web Observatory: Requirements for Data Linkage, ...
Security and Legitimacy in a Web Observatory: Requirements for Data Linkage, ...Security and Legitimacy in a Web Observatory: Requirements for Data Linkage, ...
Security and Legitimacy in a Web Observatory: Requirements for Data Linkage, ...SOCIAM Project
 
Eating the elephant
Eating the elephantEating the elephant
Eating the elephantRamece Cave
 
Information security and research data
Information security and research dataInformation security and research data
Information security and research dataTomppa Järvinen
 
Big Data Meets Privacy:De-identification Maturity Model for Benchmarking and ...
Big Data Meets Privacy:De-identification Maturity Model for Benchmarking and ...Big Data Meets Privacy:De-identification Maturity Model for Benchmarking and ...
Big Data Meets Privacy:De-identification Maturity Model for Benchmarking and ...Khaled El Emam
 
The REAL Impact of Big Data on Privacy
The REAL Impact of Big Data on PrivacyThe REAL Impact of Big Data on Privacy
The REAL Impact of Big Data on PrivacyClaudiu Popa
 
Data science.chapter-1,2,3
Data science.chapter-1,2,3Data science.chapter-1,2,3
Data science.chapter-1,2,3varshakumar21
 
Systemising advice
Systemising adviceSystemising advice
Systemising adviceDavid Harvey
 

La actualidad más candente (15)

Cyber Summit 2016: Privacy Issues in Big Data Sharing and Reuse
Cyber Summit 2016: Privacy Issues in Big Data Sharing and ReuseCyber Summit 2016: Privacy Issues in Big Data Sharing and Reuse
Cyber Summit 2016: Privacy Issues in Big Data Sharing and Reuse
 
Big data presentation for University of Reykjavik, Iceland, March 22
Big data presentation for University of Reykjavik, Iceland, March 22 Big data presentation for University of Reykjavik, Iceland, March 22
Big data presentation for University of Reykjavik, Iceland, March 22
 
LEGAL INTEROPERABILITY LAB
LEGAL INTEROPERABILITY LABLEGAL INTEROPERABILITY LAB
LEGAL INTEROPERABILITY LAB
 
Draft current state of digital forensic and data science
Draft current state of digital forensic and data science Draft current state of digital forensic and data science
Draft current state of digital forensic and data science
 
Big data security challenges and recommendations!
Big data security challenges and recommendations!Big data security challenges and recommendations!
Big data security challenges and recommendations!
 
Digital Forensic Case Study
Digital Forensic Case StudyDigital Forensic Case Study
Digital Forensic Case Study
 
Why i hate digital forensics - draft
Why i hate digital forensics  -  draftWhy i hate digital forensics  -  draft
Why i hate digital forensics - draft
 
State of Florida Neo4J Graph Briefing - Keynote
State of Florida Neo4J Graph Briefing - KeynoteState of Florida Neo4J Graph Briefing - Keynote
State of Florida Neo4J Graph Briefing - Keynote
 
Security and Legitimacy in a Web Observatory: Requirements for Data Linkage, ...
Security and Legitimacy in a Web Observatory: Requirements for Data Linkage, ...Security and Legitimacy in a Web Observatory: Requirements for Data Linkage, ...
Security and Legitimacy in a Web Observatory: Requirements for Data Linkage, ...
 
Eating the elephant
Eating the elephantEating the elephant
Eating the elephant
 
Information security and research data
Information security and research dataInformation security and research data
Information security and research data
 
Big Data Meets Privacy:De-identification Maturity Model for Benchmarking and ...
Big Data Meets Privacy:De-identification Maturity Model for Benchmarking and ...Big Data Meets Privacy:De-identification Maturity Model for Benchmarking and ...
Big Data Meets Privacy:De-identification Maturity Model for Benchmarking and ...
 
The REAL Impact of Big Data on Privacy
The REAL Impact of Big Data on PrivacyThe REAL Impact of Big Data on Privacy
The REAL Impact of Big Data on Privacy
 
Data science.chapter-1,2,3
Data science.chapter-1,2,3Data science.chapter-1,2,3
Data science.chapter-1,2,3
 
Systemising advice
Systemising adviceSystemising advice
Systemising advice
 

Similar a The role and value of making data inventories

QA Fest 2017. Per Thorsheim.GDPR - An overview and its relevance for QA
QA Fest 2017. Per Thorsheim.GDPR - An overview and its relevance for QAQA Fest 2017. Per Thorsheim.GDPR - An overview and its relevance for QA
QA Fest 2017. Per Thorsheim.GDPR - An overview and its relevance for QAQAFest
 
Privacy Secrets Your Systems May Be Telling
Privacy Secrets Your Systems May Be TellingPrivacy Secrets Your Systems May Be Telling
Privacy Secrets Your Systems May Be TellingSecurity Innovation
 
Data Ethics Framework 2.pptx
Data Ethics Framework 2.pptxData Ethics Framework 2.pptx
Data Ethics Framework 2.pptxUgurKaplancali
 
2010 za con_stephen_kreusch
2010 za con_stephen_kreusch2010 za con_stephen_kreusch
2010 za con_stephen_kreuschJohan Klerk
 
Privacy: The New Software Development Dilemma
Privacy: The New Software Development DilemmaPrivacy: The New Software Development Dilemma
Privacy: The New Software Development DilemmaSecurity Innovation
 
Emendation of undesirable attack on multiparty data sharing with anonymous id...
Emendation of undesirable attack on multiparty data sharing with anonymous id...Emendation of undesirable attack on multiparty data sharing with anonymous id...
Emendation of undesirable attack on multiparty data sharing with anonymous id...Rene Thomas
 
e-SIDES workshop at EBDVF 2018, Vienna 14/11/2018
e-SIDES workshop at EBDVF 2018, Vienna 14/11/2018 e-SIDES workshop at EBDVF 2018, Vienna 14/11/2018
e-SIDES workshop at EBDVF 2018, Vienna 14/11/2018 e-SIDES.eu
 
Enrico Bisogno - United Nations Office on Drugs and Crime (UNODC)
Enrico Bisogno - United Nations Office on Drugs and Crime (UNODC)Enrico Bisogno - United Nations Office on Drugs and Crime (UNODC)
Enrico Bisogno - United Nations Office on Drugs and Crime (UNODC)Geneva Declaration
 
A Survey on Big Data Analytics
A Survey on Big Data AnalyticsA Survey on Big Data Analytics
A Survey on Big Data AnalyticsBHARATH KUMAR
 
Blockchain and Data Science :Enabling Data Integrity for Predictions through ...
Blockchain and Data Science:Enabling Data Integrity for Predictions through ...Blockchain and Data Science:Enabling Data Integrity for Predictions through ...
Blockchain and Data Science :Enabling Data Integrity for Predictions through ...SunilKrPandey1
 
New Data Science Framework for Analysing and Mining Big Data - Charith Silva
New Data Science Framework for Analysing and Mining Big Data - Charith SilvaNew Data Science Framework for Analysing and Mining Big Data - Charith Silva
New Data Science Framework for Analysing and Mining Big Data - Charith SilvaInstitute of Contemporary Sciences
 
Explorasi Data untuk Peluang Bisnis dan Pengembangan Karir.pptx
Explorasi Data untuk Peluang Bisnis dan Pengembangan Karir.pptxExplorasi Data untuk Peluang Bisnis dan Pengembangan Karir.pptx
Explorasi Data untuk Peluang Bisnis dan Pengembangan Karir.pptxwindu19
 
Part I: Data management planning - Training for trainers
Part I: Data management planning - Training for trainers Part I: Data management planning - Training for trainers
Part I: Data management planning - Training for trainers Mari Elisa Kuusniemi
 
Lars Lyberg, Inizio: Rapport från konferensen BigSurv18
Lars Lyberg, Inizio: Rapport från konferensen BigSurv18Lars Lyberg, Inizio: Rapport från konferensen BigSurv18
Lars Lyberg, Inizio: Rapport från konferensen BigSurv18Alf Fyhrlund
 
Big Data for Indonesian Parliament
Big Data for Indonesian ParliamentBig Data for Indonesian Parliament
Big Data for Indonesian ParliamentWidy Widyawan
 

Similar a The role and value of making data inventories (20)

QA Fest 2017. Per Thorsheim.GDPR - An overview and its relevance for QA
QA Fest 2017. Per Thorsheim.GDPR - An overview and its relevance for QAQA Fest 2017. Per Thorsheim.GDPR - An overview and its relevance for QA
QA Fest 2017. Per Thorsheim.GDPR - An overview and its relevance for QA
 
Privacy Secrets Your Systems May Be Telling
Privacy Secrets Your Systems May Be TellingPrivacy Secrets Your Systems May Be Telling
Privacy Secrets Your Systems May Be Telling
 
Data Ethics Framework 2.pptx
Data Ethics Framework 2.pptxData Ethics Framework 2.pptx
Data Ethics Framework 2.pptx
 
2010 za con_stephen_kreusch
2010 za con_stephen_kreusch2010 za con_stephen_kreusch
2010 za con_stephen_kreusch
 
Privacy: The New Software Development Dilemma
Privacy: The New Software Development DilemmaPrivacy: The New Software Development Dilemma
Privacy: The New Software Development Dilemma
 
Chapter 3
Chapter 3Chapter 3
Chapter 3
 
Emendation of undesirable attack on multiparty data sharing with anonymous id...
Emendation of undesirable attack on multiparty data sharing with anonymous id...Emendation of undesirable attack on multiparty data sharing with anonymous id...
Emendation of undesirable attack on multiparty data sharing with anonymous id...
 
GDPR- The Buck Stops Here
GDPR-  The Buck Stops HereGDPR-  The Buck Stops Here
GDPR- The Buck Stops Here
 
Preparing research data for sharing
Preparing research data for sharingPreparing research data for sharing
Preparing research data for sharing
 
e-SIDES workshop at EBDVF 2018, Vienna 14/11/2018
e-SIDES workshop at EBDVF 2018, Vienna 14/11/2018 e-SIDES workshop at EBDVF 2018, Vienna 14/11/2018
e-SIDES workshop at EBDVF 2018, Vienna 14/11/2018
 
Enrico Bisogno - United Nations Office on Drugs and Crime (UNODC)
Enrico Bisogno - United Nations Office on Drugs and Crime (UNODC)Enrico Bisogno - United Nations Office on Drugs and Crime (UNODC)
Enrico Bisogno - United Nations Office on Drugs and Crime (UNODC)
 
management information system module3
management information system module3management information system module3
management information system module3
 
A Survey on Big Data Analytics
A Survey on Big Data AnalyticsA Survey on Big Data Analytics
A Survey on Big Data Analytics
 
Privacy, Encryption, and Anonymity in the Civil Legal Aid Context
Privacy, Encryption, and Anonymity in the Civil Legal Aid ContextPrivacy, Encryption, and Anonymity in the Civil Legal Aid Context
Privacy, Encryption, and Anonymity in the Civil Legal Aid Context
 
Blockchain and Data Science :Enabling Data Integrity for Predictions through ...
Blockchain and Data Science:Enabling Data Integrity for Predictions through ...Blockchain and Data Science:Enabling Data Integrity for Predictions through ...
Blockchain and Data Science :Enabling Data Integrity for Predictions through ...
 
New Data Science Framework for Analysing and Mining Big Data - Charith Silva
New Data Science Framework for Analysing and Mining Big Data - Charith SilvaNew Data Science Framework for Analysing and Mining Big Data - Charith Silva
New Data Science Framework for Analysing and Mining Big Data - Charith Silva
 
Explorasi Data untuk Peluang Bisnis dan Pengembangan Karir.pptx
Explorasi Data untuk Peluang Bisnis dan Pengembangan Karir.pptxExplorasi Data untuk Peluang Bisnis dan Pengembangan Karir.pptx
Explorasi Data untuk Peluang Bisnis dan Pengembangan Karir.pptx
 
Part I: Data management planning - Training for trainers
Part I: Data management planning - Training for trainers Part I: Data management planning - Training for trainers
Part I: Data management planning - Training for trainers
 
Lars Lyberg, Inizio: Rapport från konferensen BigSurv18
Lars Lyberg, Inizio: Rapport från konferensen BigSurv18Lars Lyberg, Inizio: Rapport från konferensen BigSurv18
Lars Lyberg, Inizio: Rapport från konferensen BigSurv18
 
Big Data for Indonesian Parliament
Big Data for Indonesian ParliamentBig Data for Indonesian Parliament
Big Data for Indonesian Parliament
 

Más de Open Knowledge Belgium

A​ FUNUMENTARY:​ Take what you can, give nothing back...​ ​(NOT)
A​ FUNUMENTARY:​ Take what you can, give nothing back...​ ​(NOT)A​ FUNUMENTARY:​ Take what you can, give nothing back...​ ​(NOT)
A​ FUNUMENTARY:​ Take what you can, give nothing back...​ ​(NOT)Open Knowledge Belgium
 
Smarter by Open Data: Process and Practice in Flevoland (NL)
Smarter by Open Data: Process and Practice in Flevoland (NL)Smarter by Open Data: Process and Practice in Flevoland (NL)
Smarter by Open Data: Process and Practice in Flevoland (NL)Open Knowledge Belgium
 
Smart Flanders: Tackling urban challenges through Open Data
Smart Flanders: Tackling urban challenges through Open DataSmart Flanders: Tackling urban challenges through Open Data
Smart Flanders: Tackling urban challenges through Open DataOpen Knowledge Belgium
 
EIF and NIFO connecting public administrations, businesses, and citizens
EIF and NIFO connecting public administrations, businesses, and citizensEIF and NIFO connecting public administrations, businesses, and citizens
EIF and NIFO connecting public administrations, businesses, and citizensOpen Knowledge Belgium
 
Connecting Open data for solving the fiscal transparency puzzle in the EU
Connecting Open data for solving the fiscal transparency puzzle in the EUConnecting Open data for solving the fiscal transparency puzzle in the EU
Connecting Open data for solving the fiscal transparency puzzle in the EUOpen Knowledge Belgium
 
Open Government and Networked European Democracy
Open Government and Networked European DemocracyOpen Government and Networked European Democracy
Open Government and Networked European DemocracyOpen Knowledge Belgium
 
Mundaneum Factories for Open Tokenomics
Mundaneum Factories for Open TokenomicsMundaneum Factories for Open Tokenomics
Mundaneum Factories for Open TokenomicsOpen Knowledge Belgium
 
MIRVA: The European Open Recognition Project
MIRVA: The European Open Recognition ProjectMIRVA: The European Open Recognition Project
MIRVA: The European Open Recognition ProjectOpen Knowledge Belgium
 
Bike for Brussels - Open Summer of Code 2017
Bike for Brussels - Open Summer of Code 2017Bike for Brussels - Open Summer of Code 2017
Bike for Brussels - Open Summer of Code 2017Open Knowledge Belgium
 
Traffic safety - answering tough questions with open data
Traffic safety - answering tough questions with open dataTraffic safety - answering tough questions with open data
Traffic safety - answering tough questions with open dataOpen Knowledge Belgium
 
Eliminating data roadbloacks to get by traffic roadblocks without pain
Eliminating data roadbloacks to get by traffic roadblocks without painEliminating data roadbloacks to get by traffic roadblocks without pain
Eliminating data roadbloacks to get by traffic roadblocks without painOpen Knowledge Belgium
 
Linked Open Data in limbo: Open cultural heritage resources
Linked Open Data in limbo: Open cultural heritage resourcesLinked Open Data in limbo: Open cultural heritage resources
Linked Open Data in limbo: Open cultural heritage resourcesOpen Knowledge Belgium
 
A journey to Linked Open Touristic Data
A journey to Linked Open Touristic DataA journey to Linked Open Touristic Data
A journey to Linked Open Touristic DataOpen Knowledge Belgium
 
How we use the massive open lidar dataset for the benfit of our clients
How we use the massive open lidar dataset for the benfit of our clientsHow we use the massive open lidar dataset for the benfit of our clients
How we use the massive open lidar dataset for the benfit of our clientsOpen Knowledge Belgium
 
mu.semte.ch: A transitional architecture for Linked Data
mu.semte.ch: A transitional architecture for Linked Datamu.semte.ch: A transitional architecture for Linked Data
mu.semte.ch: A transitional architecture for Linked DataOpen Knowledge Belgium
 

Más de Open Knowledge Belgium (20)

Open Data Stories You haven't heard!
Open Data Stories You haven't heard!Open Data Stories You haven't heard!
Open Data Stories You haven't heard!
 
A​ FUNUMENTARY:​ Take what you can, give nothing back...​ ​(NOT)
A​ FUNUMENTARY:​ Take what you can, give nothing back...​ ​(NOT)A​ FUNUMENTARY:​ Take what you can, give nothing back...​ ​(NOT)
A​ FUNUMENTARY:​ Take what you can, give nothing back...​ ​(NOT)
 
Smarter by Open Data: Process and Practice in Flevoland (NL)
Smarter by Open Data: Process and Practice in Flevoland (NL)Smarter by Open Data: Process and Practice in Flevoland (NL)
Smarter by Open Data: Process and Practice in Flevoland (NL)
 
Open Knowledge for Social Innovation
Open Knowledge for Social InnovationOpen Knowledge for Social Innovation
Open Knowledge for Social Innovation
 
Smart Flanders: Tackling urban challenges through Open Data
Smart Flanders: Tackling urban challenges through Open DataSmart Flanders: Tackling urban challenges through Open Data
Smart Flanders: Tackling urban challenges through Open Data
 
EIF and NIFO connecting public administrations, businesses, and citizens
EIF and NIFO connecting public administrations, businesses, and citizensEIF and NIFO connecting public administrations, businesses, and citizens
EIF and NIFO connecting public administrations, businesses, and citizens
 
Connecting Open data for solving the fiscal transparency puzzle in the EU
Connecting Open data for solving the fiscal transparency puzzle in the EUConnecting Open data for solving the fiscal transparency puzzle in the EU
Connecting Open data for solving the fiscal transparency puzzle in the EU
 
Open Government and Networked European Democracy
Open Government and Networked European DemocracyOpen Government and Networked European Democracy
Open Government and Networked European Democracy
 
Mundaneum Factories for Open Tokenomics
Mundaneum Factories for Open TokenomicsMundaneum Factories for Open Tokenomics
Mundaneum Factories for Open Tokenomics
 
MIRVA: The European Open Recognition Project
MIRVA: The European Open Recognition ProjectMIRVA: The European Open Recognition Project
MIRVA: The European Open Recognition Project
 
Bike for Brussels - Open Summer of Code 2017
Bike for Brussels - Open Summer of Code 2017Bike for Brussels - Open Summer of Code 2017
Bike for Brussels - Open Summer of Code 2017
 
The story behind SNCB alerts
The story behind SNCB alertsThe story behind SNCB alerts
The story behind SNCB alerts
 
Traffic safety - answering tough questions with open data
Traffic safety - answering tough questions with open dataTraffic safety - answering tough questions with open data
Traffic safety - answering tough questions with open data
 
Eliminating data roadbloacks to get by traffic roadblocks without pain
Eliminating data roadbloacks to get by traffic roadblocks without painEliminating data roadbloacks to get by traffic roadblocks without pain
Eliminating data roadbloacks to get by traffic roadblocks without pain
 
Linked Open Data in limbo: Open cultural heritage resources
Linked Open Data in limbo: Open cultural heritage resourcesLinked Open Data in limbo: Open cultural heritage resources
Linked Open Data in limbo: Open cultural heritage resources
 
A journey to Linked Open Touristic Data
A journey to Linked Open Touristic DataA journey to Linked Open Touristic Data
A journey to Linked Open Touristic Data
 
How we use the massive open lidar dataset for the benfit of our clients
How we use the massive open lidar dataset for the benfit of our clientsHow we use the massive open lidar dataset for the benfit of our clients
How we use the massive open lidar dataset for the benfit of our clients
 
mu.semte.ch: A transitional architecture for Linked Data
mu.semte.ch: A transitional architecture for Linked Datamu.semte.ch: A transitional architecture for Linked Data
mu.semte.ch: A transitional architecture for Linked Data
 
Linked Open Chatbots
Linked Open ChatbotsLinked Open Chatbots
Linked Open Chatbots
 
Open for Business
Open for BusinessOpen for Business
Open for Business
 

Último

Call Girls Indiranagar Just Call 👗 9155563397 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 9155563397 👗 Top Class Call Girl Service B...Call Girls Indiranagar Just Call 👗 9155563397 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 9155563397 👗 Top Class Call Girl Service B...only4webmaster01
 
Just Call Vip call girls Palakkad Escorts ☎️9352988975 Two shot with one girl...
Just Call Vip call girls Palakkad Escorts ☎️9352988975 Two shot with one girl...Just Call Vip call girls Palakkad Escorts ☎️9352988975 Two shot with one girl...
Just Call Vip call girls Palakkad Escorts ☎️9352988975 Two shot with one girl...gajnagarg
 
Call Girls In Doddaballapur Road ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Doddaballapur Road ☎ 7737669865 🥵 Book Your One night StandCall Girls In Doddaballapur Road ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Doddaballapur Road ☎ 7737669865 🥵 Book Your One night Standamitlee9823
 
➥🔝 7737669865 🔝▻ mahisagar Call-girls in Women Seeking Men 🔝mahisagar🔝 Esc...
➥🔝 7737669865 🔝▻ mahisagar Call-girls in Women Seeking Men  🔝mahisagar🔝   Esc...➥🔝 7737669865 🔝▻ mahisagar Call-girls in Women Seeking Men  🔝mahisagar🔝   Esc...
➥🔝 7737669865 🔝▻ mahisagar Call-girls in Women Seeking Men 🔝mahisagar🔝 Esc...amitlee9823
 
Aspirational Block Program Block Syaldey District - Almora
Aspirational Block Program Block Syaldey District - AlmoraAspirational Block Program Block Syaldey District - Almora
Aspirational Block Program Block Syaldey District - AlmoraGovindSinghDasila
 
Call Girls In Attibele ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Attibele ☎ 7737669865 🥵 Book Your One night StandCall Girls In Attibele ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Attibele ☎ 7737669865 🥵 Book Your One night Standamitlee9823
 
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...amitlee9823
 
➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men 🔝Mathura🔝 Escorts...
➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men  🔝Mathura🔝   Escorts...➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men  🔝Mathura🔝   Escorts...
➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men 🔝Mathura🔝 Escorts...amitlee9823
 
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteedamy56318795
 
Vip Mumbai Call Girls Marol Naka Call On 9920725232 With Body to body massage...
Vip Mumbai Call Girls Marol Naka Call On 9920725232 With Body to body massage...Vip Mumbai Call Girls Marol Naka Call On 9920725232 With Body to body massage...
Vip Mumbai Call Girls Marol Naka Call On 9920725232 With Body to body massage...amitlee9823
 
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...amitlee9823
 
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...amitlee9823
 
Just Call Vip call girls Erode Escorts ☎️9352988975 Two shot with one girl (E...
Just Call Vip call girls Erode Escorts ☎️9352988975 Two shot with one girl (E...Just Call Vip call girls Erode Escorts ☎️9352988975 Two shot with one girl (E...
Just Call Vip call girls Erode Escorts ☎️9352988975 Two shot with one girl (E...gajnagarg
 
Detecting Credit Card Fraud: A Machine Learning Approach
Detecting Credit Card Fraud: A Machine Learning ApproachDetecting Credit Card Fraud: A Machine Learning Approach
Detecting Credit Card Fraud: A Machine Learning ApproachBoston Institute of Analytics
 
➥🔝 7737669865 🔝▻ Dindigul Call-girls in Women Seeking Men 🔝Dindigul🔝 Escor...
➥🔝 7737669865 🔝▻ Dindigul Call-girls in Women Seeking Men  🔝Dindigul🔝   Escor...➥🔝 7737669865 🔝▻ Dindigul Call-girls in Women Seeking Men  🔝Dindigul🔝   Escor...
➥🔝 7737669865 🔝▻ Dindigul Call-girls in Women Seeking Men 🔝Dindigul🔝 Escor...amitlee9823
 
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...Elaine Werffeli
 
Call Girls In Shivaji Nagar ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Shivaji Nagar ☎ 7737669865 🥵 Book Your One night StandCall Girls In Shivaji Nagar ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Shivaji Nagar ☎ 7737669865 🥵 Book Your One night Standamitlee9823
 
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...amitlee9823
 

Último (20)

Call Girls Indiranagar Just Call 👗 9155563397 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 9155563397 👗 Top Class Call Girl Service B...Call Girls Indiranagar Just Call 👗 9155563397 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 9155563397 👗 Top Class Call Girl Service B...
 
Just Call Vip call girls Palakkad Escorts ☎️9352988975 Two shot with one girl...
Just Call Vip call girls Palakkad Escorts ☎️9352988975 Two shot with one girl...Just Call Vip call girls Palakkad Escorts ☎️9352988975 Two shot with one girl...
Just Call Vip call girls Palakkad Escorts ☎️9352988975 Two shot with one girl...
 
Call Girls In Doddaballapur Road ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Doddaballapur Road ☎ 7737669865 🥵 Book Your One night StandCall Girls In Doddaballapur Road ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Doddaballapur Road ☎ 7737669865 🥵 Book Your One night Stand
 
➥🔝 7737669865 🔝▻ mahisagar Call-girls in Women Seeking Men 🔝mahisagar🔝 Esc...
➥🔝 7737669865 🔝▻ mahisagar Call-girls in Women Seeking Men  🔝mahisagar🔝   Esc...➥🔝 7737669865 🔝▻ mahisagar Call-girls in Women Seeking Men  🔝mahisagar🔝   Esc...
➥🔝 7737669865 🔝▻ mahisagar Call-girls in Women Seeking Men 🔝mahisagar🔝 Esc...
 
Aspirational Block Program Block Syaldey District - Almora
Aspirational Block Program Block Syaldey District - AlmoraAspirational Block Program Block Syaldey District - Almora
Aspirational Block Program Block Syaldey District - Almora
 
Call Girls In Attibele ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Attibele ☎ 7737669865 🥵 Book Your One night StandCall Girls In Attibele ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Attibele ☎ 7737669865 🥵 Book Your One night Stand
 
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
 
Anomaly detection and data imputation within time series
Anomaly detection and data imputation within time seriesAnomaly detection and data imputation within time series
Anomaly detection and data imputation within time series
 
➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men 🔝Mathura🔝 Escorts...
➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men  🔝Mathura🔝   Escorts...➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men  🔝Mathura🔝   Escorts...
➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men 🔝Mathura🔝 Escorts...
 
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed
 
Vip Mumbai Call Girls Marol Naka Call On 9920725232 With Body to body massage...
Vip Mumbai Call Girls Marol Naka Call On 9920725232 With Body to body massage...Vip Mumbai Call Girls Marol Naka Call On 9920725232 With Body to body massage...
Vip Mumbai Call Girls Marol Naka Call On 9920725232 With Body to body massage...
 
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
 
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
 
Just Call Vip call girls Erode Escorts ☎️9352988975 Two shot with one girl (E...
Just Call Vip call girls Erode Escorts ☎️9352988975 Two shot with one girl (E...Just Call Vip call girls Erode Escorts ☎️9352988975 Two shot with one girl (E...
Just Call Vip call girls Erode Escorts ☎️9352988975 Two shot with one girl (E...
 
Detecting Credit Card Fraud: A Machine Learning Approach
Detecting Credit Card Fraud: A Machine Learning ApproachDetecting Credit Card Fraud: A Machine Learning Approach
Detecting Credit Card Fraud: A Machine Learning Approach
 
➥🔝 7737669865 🔝▻ Dindigul Call-girls in Women Seeking Men 🔝Dindigul🔝 Escor...
➥🔝 7737669865 🔝▻ Dindigul Call-girls in Women Seeking Men  🔝Dindigul🔝   Escor...➥🔝 7737669865 🔝▻ Dindigul Call-girls in Women Seeking Men  🔝Dindigul🔝   Escor...
➥🔝 7737669865 🔝▻ Dindigul Call-girls in Women Seeking Men 🔝Dindigul🔝 Escor...
 
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
 
Call Girls In Shivaji Nagar ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Shivaji Nagar ☎ 7737669865 🥵 Book Your One night StandCall Girls In Shivaji Nagar ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Shivaji Nagar ☎ 7737669865 🥵 Book Your One night Stand
 
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
 
Abortion pills in Jeddah | +966572737505 | Get Cytotec
Abortion pills in Jeddah | +966572737505 | Get CytotecAbortion pills in Jeddah | +966572737505 | Get Cytotec
Abortion pills in Jeddah | +966572737505 | Get Cytotec
 

The role and value of making data inventories

  • 1. The role and value 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 and value of making data inventories Province Utrecht Province Fryslân Province North-Holland City Eindhoven City Leeuwarden City Delft
  • 3. 1 high time for mature data governance www.flickr.com/photos/31954002@N08/14811288593/
  • 5. digital changes how we look at • openness: access is different from re-use • privacy: different types of usage • security: non-binary • archiving: earlier in information processes
  • 10. security fence • ‘baseline information 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 • at request, additional process • stated end game is ‘actively open by design’ • open data is becoming infrastructure (e.g. ‘omgevingswet’) • fence tactic is inefficient
  • 12. • data sovereignty is under threat • not enough attention at data level • fence tactic is ineffective openness fence
  • 13. • complaints about compliance costs • house not in order • PSI Directive Review confirms openness fence www.flickr.com/photos/wfabry/2157854271/
  • 14. • done on level 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 to review • 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 yr limit person related 3rd party rights business critical data focus & ‘everything by design’, not fences
  • 18. 2 local data inventories a first step
  • 19. local is where you are, but not the data pro’s
  • 20. value, impact policy issue people open data connecting people and issues needs data knowledge
  • 21. Actief uitnodigend published inventory triggers demand http://www.flickr.com/photos/dhammza/492882480/
  • 22. new local data means new relations & choices
  • 23. inventories help having the right conversations external stakeholders data person policy maker 3rd party internal stakeholders domain specialist legal person
  • 25. starting points • list structured data sets only • up to 80 facets • policy domain, internal usage, current availability, technical details, legal aspects, and concerns
  • 26. don’t make assumptions, because house 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 used applications • 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: external team • 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./client team • train client team • consistency • experience & re-use • needs more scripted approach • quality can be issue • client team continuity • islands likely remain
  • 30. tactic 3: client team / 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 (local 67%, <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 on all relevant questions
  • 33. published, and used to 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 household is 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