SlideShare uma empresa Scribd logo
1 de 33
Baixar para ler offline
Deirdre Lee
@deirdrelee
@derilinx
www.derilinx.com
Complying with the EC Open Data Directive
24th March 2021
2
About
Derilinx leads Linked and Open Data initiatives,
providing fully hosted and managed data
solutions.
Directive on Open Data and
Re-Use of Public Sector Information
• Stimulate the publication of dynamic data and the uptake of Application
Programme Interfaces (APIs);
• Limit the exceptions that now enable public bodies to charge more than marginal
costs of dissemination for data re-use;
• Extend the scope of the directive to include data held by public undertakings,
under a specific set of rules, and research data resulting from public funding; and
• Strengthen the transparency requirements for agreements involving public sector
information between public and private parties, thereby avoiding exclusive deals.
• Require the publication of a list of high-value datasets to be provided free of
charge.
3
Where do I start?
4
1. What data do we manage?
2. Which data should we publish as
Open Data?
3. How can we make data available as
Open Data?
What data do we manage?
5
What data do we manage?
6
We don’t manage any data
It’s already published on our website
It’s too big
The data is of poor quality
It’s not very interesting
The data is domain-specific
People will misinterpret the data
It’s available in reports
What data do we manage?
7
https://www.tusla.ie/publications/
8
Identify Datasets through a Data Audit
A Data Audit helps Public Bodies compile a comprehensive inventory of datasets they
manage, and classify if these datasets are suitable for data sharing or publication as
Open Data.
(Also useful for GDPR and Public Service Data Catalogue)
https://datacatalogue.gov.ie/
Identify Datasets through a Data Audit
• Name of the dataset
• Description of the dataset
• Dataset manager(s)
• Link to dataset
• Classification
• Format
• Publication frequency
• Demand for this dataset
• General Comments
9
Open Data Audit Tool
10
http://audit.data.gov.ie/
A Data Audit results in a data inventory
11
Which data should we publish as Open Data?
12
Which data should we publish as Open Data?
13
High-Value
Sustainable Low-Hanging Fruit
High-Value Datasets
• Have a high commercial potential and can speed up the emergence of value-
added EU-wide information products. They will also serve as key data sources for
the development of Artificial Intelligence.
• They are subject to a separate set of rules ensuring their availability free of charge,
in machine readable formats, provided via APIs and, where relevant, as bulk
download.
14
• Defined as documents the re-use of which is associated with
important benefits for the society and economy.
High-Value Datasets (HVDs)
15
• Geospatial
– e.g. national and local maps, postcodes
• Statistics
– e.g. demographic and economic indicators
• Companies and company ownership
– e.g. business registers and registration identifiers
• Mobility
– e.g. road signs and inland waterways
• Earth observation and environment
– e.g. energy consumption and satellite images
• Meteorological
– e.g. in situ data from instruments and weather forecasts
HVDs – Is there a Demand for this information?
16
➢ From colleagues
➢ From other Public Bodies
➢ From researchers
➢ From the general public
➢ Via FOIs
➢ Via PQs
Sustainable Dataset
Can we continue to support the publication of this dataset on an ongoing
basis?
• Are individuals a bottleneck?
• Is the publication process repeatable?
• Can publishing be automated?
• Can a harvester be built to automate publication?
17
Sustainable Dataset
18
Low-Hanging Fruit
19
Start publishing the easier, non-controversial datasets,
e.g. service information, data that is already available in non machine-readable
formats, etc.
People will misinterpret the data
I don’t mind, but someone else might
We’ll get spam
The data is of poor quality
Which data should we publish as Open Data?
20
High-Value Sustainable
Data Inventory
21
How can we make data available as Open Data?
22
23
People need raw data to integrate, visualize, analyse,
plan, decide, innovate, build, etc.
For example, publication of COVID19 datasets
24
https://data.gov.ie/dataset?q=covid
https://covid19ireland-geohive.hub.arcgis.com/
25
https://public.flourish.studio/story/279636/
https://twitter.com/seanmulvany/status/1316466663282405377
https://twitter.com/DrRuairiOReilly/status/1331998933246234629
https://www.researchgate.net/publication/342866515_Analysis_of_Possible_Excess_COVID-19_Deaths_in_Ireland
https://www.irishtimes.com/business/technology/coronavirus-pandemic-moves-data-analytics-front-and-centre-1.4430982?mode=amp
Where is your data currently stored/managed?
26
• Spreadsheets on your computer
• On a shared workspace
• On a file server
• In a specific system
• On your website
Make data available online in open, machine-readable formats
27
General
• CSV
• JSON
• XML
• ODF
• RDF
• TSV
Geospatial
• GeoJSON
• GML
• KML
• WKT
• LAS
• IFC
• Shapefile
• WMS
Domain-Specific
• PX
• JSON-stat
• NetCDF
• BUFR
• Datex II
• GTFS
• HDF5
• GRIB
28
Source Systems
Publish Raw Data Online
Publish Metadata on
Website Data Catalogue File Server API
Building an Application Programming Interface (API)
29
✓ Integration
✓ Flexibility
✓ Best option for dynamic data
✓ Application development ❖ Upfront effort
How to be discoverable on ?
30
Manual Publication of Data
31
✓ Good for once-off publication
✓ Suitable for linking to an API endpoint
❖ Not sustainable in long-term
Be harvested by
32
✓ Automated
✓ Keeps data up-to-date
✓ Harvester built by Derilinx
Where do I start?
33
1. What data do we manage?
– Carry out a data-audit
2. Which data should we publish as Open Data?
– High-value / sustainable / low-hanging fruit
3. How can we make data available as Open Data?
– Publish online in open, machine-readable formats
4. How to be discoverable on ?
– Manually / via harvester

Mais conteúdo relacionado

Mais procurados

EDF2014: Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, It...
EDF2014: Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, It...EDF2014: Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, It...
EDF2014: Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, It...European Data Forum
 
The Case of opendataportal.at
The Case of opendataportal.atThe Case of opendataportal.at
The Case of opendataportal.atJohann Höchtl
 
Open Data: Barriers, Risks, and Opportunities
Open Data: Barriers, Risks, and OpportunitiesOpen Data: Barriers, Risks, and Opportunities
Open Data: Barriers, Risks, and OpportunitiesSlim Turki, Dr.
 
EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...
EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...
EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...European Data Forum
 
Treasury Board of Canada - Open Government / Open Data in Canada - July 2013
Treasury Board of Canada - Open Government / Open Data in Canada - July 2013Treasury Board of Canada - Open Government / Open Data in Canada - July 2013
Treasury Board of Canada - Open Government / Open Data in Canada - July 2013AmbasciatadelCanada
 
Thomas Vavra | New Ways of Handling Old Data
Thomas Vavra | New Ways of Handling Old DataThomas Vavra | New Ways of Handling Old Data
Thomas Vavra | New Ways of Handling Old Datasemanticsconference
 
European open science cloud
European open science cloudEuropean open science cloud
European open science cloudJisc
 
Rajendra Akerkar - LeMO Project
Rajendra Akerkar - LeMO ProjectRajendra Akerkar - LeMO Project
Rajendra Akerkar - LeMO ProjectBigData_Europe
 
EDF2014: Nicolas Lemcke Horst, Ambassador of the Danish Basic Data Programme,...
EDF2014: Nicolas Lemcke Horst, Ambassador of the Danish Basic Data Programme,...EDF2014: Nicolas Lemcke Horst, Ambassador of the Danish Basic Data Programme,...
EDF2014: Nicolas Lemcke Horst, Ambassador of the Danish Basic Data Programme,...European Data Forum
 
OpenAIRE implementing open science
OpenAIRE implementing open scienceOpenAIRE implementing open science
OpenAIRE implementing open scienceJisc
 
OpenAIRE-connect: Services for open science
OpenAIRE-connect: Services for open scienceOpenAIRE-connect: Services for open science
OpenAIRE-connect: Services for open scienceJisc
 
Four Steps for Open Contracting in the UK
Four Steps for Open Contracting in the UKFour Steps for Open Contracting in the UK
Four Steps for Open Contracting in the UKTim Davies
 
Open access to publications in Horizon 2020
Open access to publications in Horizon 2020Open access to publications in Horizon 2020
Open access to publications in Horizon 2020Jisc
 
Open Data and Anti-Corruption: Open Data Charter Packages
Open Data and Anti-Corruption: Open Data Charter PackagesOpen Data and Anti-Corruption: Open Data Charter Packages
Open Data and Anti-Corruption: Open Data Charter PackagesTim Davies
 
Big Data Europe SC6 WS 3: Where we are and are going for Big Data in OpenScie...
Big Data Europe SC6 WS 3: Where we are and are going for Big Data in OpenScie...Big Data Europe SC6 WS 3: Where we are and are going for Big Data in OpenScie...
Big Data Europe SC6 WS 3: Where we are and are going for Big Data in OpenScie...BigData_Europe
 
2019-10-11 The value of FAIR data in health data networks - The Hyve - ELIXIR...
2019-10-11 The value of FAIR data in health data networks - The Hyve - ELIXIR...2019-10-11 The value of FAIR data in health data networks - The Hyve - ELIXIR...
2019-10-11 The value of FAIR data in health data networks - The Hyve - ELIXIR...Kees van Bochove
 
Business context of FAIR health data networks - The Hyve - MEDINFO Lyon 2019
Business context of FAIR health data networks - The Hyve - MEDINFO Lyon 2019Business context of FAIR health data networks - The Hyve - MEDINFO Lyon 2019
Business context of FAIR health data networks - The Hyve - MEDINFO Lyon 2019Kees van Bochove
 
How 2019 became the year FAIR landed in biopharmaceutical R&D
How 2019 became the year FAIR landed in biopharmaceutical R&DHow 2019 became the year FAIR landed in biopharmaceutical R&D
How 2019 became the year FAIR landed in biopharmaceutical R&DKees van Bochove
 

Mais procurados (20)

EDF2014: Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, It...
EDF2014: Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, It...EDF2014: Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, It...
EDF2014: Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, It...
 
Esociety presentation krems cedem 2014
Esociety presentation krems cedem 2014Esociety presentation krems cedem 2014
Esociety presentation krems cedem 2014
 
The Case of opendataportal.at
The Case of opendataportal.atThe Case of opendataportal.at
The Case of opendataportal.at
 
Open Data: Barriers, Risks, and Opportunities
Open Data: Barriers, Risks, and OpportunitiesOpen Data: Barriers, Risks, and Opportunities
Open Data: Barriers, Risks, and Opportunities
 
EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...
EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...
EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...
 
Treasury Board of Canada - Open Government / Open Data in Canada - July 2013
Treasury Board of Canada - Open Government / Open Data in Canada - July 2013Treasury Board of Canada - Open Government / Open Data in Canada - July 2013
Treasury Board of Canada - Open Government / Open Data in Canada - July 2013
 
Thomas Vavra | New Ways of Handling Old Data
Thomas Vavra | New Ways of Handling Old DataThomas Vavra | New Ways of Handling Old Data
Thomas Vavra | New Ways of Handling Old Data
 
European open science cloud
European open science cloudEuropean open science cloud
European open science cloud
 
Rajendra Akerkar - LeMO Project
Rajendra Akerkar - LeMO ProjectRajendra Akerkar - LeMO Project
Rajendra Akerkar - LeMO Project
 
EDF2014: Nicolas Lemcke Horst, Ambassador of the Danish Basic Data Programme,...
EDF2014: Nicolas Lemcke Horst, Ambassador of the Danish Basic Data Programme,...EDF2014: Nicolas Lemcke Horst, Ambassador of the Danish Basic Data Programme,...
EDF2014: Nicolas Lemcke Horst, Ambassador of the Danish Basic Data Programme,...
 
OpenAIRE implementing open science
OpenAIRE implementing open scienceOpenAIRE implementing open science
OpenAIRE implementing open science
 
OpenAIRE-connect: Services for open science
OpenAIRE-connect: Services for open scienceOpenAIRE-connect: Services for open science
OpenAIRE-connect: Services for open science
 
Four Steps for Open Contracting in the UK
Four Steps for Open Contracting in the UKFour Steps for Open Contracting in the UK
Four Steps for Open Contracting in the UK
 
An overview of piv initiatives(papaloi,gouscos)final21.5
An overview of piv initiatives(papaloi,gouscos)final21.5An overview of piv initiatives(papaloi,gouscos)final21.5
An overview of piv initiatives(papaloi,gouscos)final21.5
 
Open access to publications in Horizon 2020
Open access to publications in Horizon 2020Open access to publications in Horizon 2020
Open access to publications in Horizon 2020
 
Open Data and Anti-Corruption: Open Data Charter Packages
Open Data and Anti-Corruption: Open Data Charter PackagesOpen Data and Anti-Corruption: Open Data Charter Packages
Open Data and Anti-Corruption: Open Data Charter Packages
 
Big Data Europe SC6 WS 3: Where we are and are going for Big Data in OpenScie...
Big Data Europe SC6 WS 3: Where we are and are going for Big Data in OpenScie...Big Data Europe SC6 WS 3: Where we are and are going for Big Data in OpenScie...
Big Data Europe SC6 WS 3: Where we are and are going for Big Data in OpenScie...
 
2019-10-11 The value of FAIR data in health data networks - The Hyve - ELIXIR...
2019-10-11 The value of FAIR data in health data networks - The Hyve - ELIXIR...2019-10-11 The value of FAIR data in health data networks - The Hyve - ELIXIR...
2019-10-11 The value of FAIR data in health data networks - The Hyve - ELIXIR...
 
Business context of FAIR health data networks - The Hyve - MEDINFO Lyon 2019
Business context of FAIR health data networks - The Hyve - MEDINFO Lyon 2019Business context of FAIR health data networks - The Hyve - MEDINFO Lyon 2019
Business context of FAIR health data networks - The Hyve - MEDINFO Lyon 2019
 
How 2019 became the year FAIR landed in biopharmaceutical R&D
How 2019 became the year FAIR landed in biopharmaceutical R&DHow 2019 became the year FAIR landed in biopharmaceutical R&D
How 2019 became the year FAIR landed in biopharmaceutical R&D
 

Semelhante a Complying with the EC Open Data Directive

Open Data Ireland Public Meeting
Open Data Ireland Public MeetingOpen Data Ireland Public Meeting
Open Data Ireland Public MeetingDerilinx
 
US National Archives & Open Government Data
US National Archives & Open Government DataUS National Archives & Open Government Data
US National Archives & Open Government Data3 Round Stones
 
How open is public data agi 2011-13
How open is public data agi 2011-13How open is public data agi 2011-13
How open is public data agi 2011-13lgdigitalcomms
 
US EPA OSWER Linked Data Workshop 1-Feb-2013
US EPA OSWER Linked Data Workshop 1-Feb-2013US EPA OSWER Linked Data Workshop 1-Feb-2013
US EPA OSWER Linked Data Workshop 1-Feb-20133 Round Stones
 
The PSI Directive and Open Government Data
The PSI Directive and Open Government DataThe PSI Directive and Open Government Data
The PSI Directive and Open Government DataOpen Data Support
 
Open data for UK public sector organisations
Open data for UK public sector organisationsOpen data for UK public sector organisations
Open data for UK public sector organisationsAndrew Mackenzie
 
SoBigData. European Research Infrastructure for Big Data and Social Mining
SoBigData. European Research Infrastructure for Big Data and Social MiningSoBigData. European Research Infrastructure for Big Data and Social Mining
SoBigData. European Research Infrastructure for Big Data and Social MiningResearch Data Alliance
 
Lga local transparency roadshow 2014 value of local open data
Lga local transparency roadshow 2014 value of local open dataLga local transparency roadshow 2014 value of local open data
Lga local transparency roadshow 2014 value of local open dataGesche Schmid
 
Module 10 Open Government and Data
Module 10 Open Government and DataModule 10 Open Government and Data
Module 10 Open Government and DataIPAC-IAPC
 
The linked open government data and metadata lifecycle
The linked open government data and metadata lifecycleThe linked open government data and metadata lifecycle
The linked open government data and metadata lifecycleOpen Data Support
 
Ethiopian Open Government Data Initiative
Ethiopian Open Government Data InitiativeEthiopian Open Government Data Initiative
Ethiopian Open Government Data Initiativeabiyotb
 
Overview of the data pilot and OpenAIRE tools, Elly Dijk and Marjan Grootveld...
Overview of the data pilot and OpenAIRE tools, Elly Dijk and Marjan Grootveld...Overview of the data pilot and OpenAIRE tools, Elly Dijk and Marjan Grootveld...
Overview of the data pilot and OpenAIRE tools, Elly Dijk and Marjan Grootveld...OpenAIRE
 
Open Data in Europe: Policies and Developments
Open Data in Europe: Policies and DevelopmentsOpen Data in Europe: Policies and Developments
Open Data in Europe: Policies and DevelopmentsMartín Alvarez Espinar
 
How open data are turned into services?
How open data are turned into services?How open data are turned into services?
How open data are turned into services?Slim Turki, Dr.
 
Local Open Data: a perspective from local government in England 2014
Local Open Data: a perspective from local government in England 2014Local Open Data: a perspective from local government in England 2014
Local Open Data: a perspective from local government in England 2014Gesche Schmid
 
Local Open Data: A perspective from local government in England by Gesche Schmid
Local Open Data: A perspective from local government in England by Gesche SchmidLocal Open Data: A perspective from local government in England by Gesche Schmid
Local Open Data: A perspective from local government in England by Gesche SchmidOpening-up.eu
 
ODI Node Vienna: Best Practise Beispiele für: Open Innovation mittels Open Data
ODI Node Vienna: Best Practise Beispiele für: Open Innovation mittels Open DataODI Node Vienna: Best Practise Beispiele für: Open Innovation mittels Open Data
ODI Node Vienna: Best Practise Beispiele für: Open Innovation mittels Open DataMartin Kaltenböck
 

Semelhante a Complying with the EC Open Data Directive (20)

Open Data Ireland Public Meeting
Open Data Ireland Public MeetingOpen Data Ireland Public Meeting
Open Data Ireland Public Meeting
 
US National Archives & Open Government Data
US National Archives & Open Government DataUS National Archives & Open Government Data
US National Archives & Open Government Data
 
How open is public data agi 2011-13
How open is public data agi 2011-13How open is public data agi 2011-13
How open is public data agi 2011-13
 
US EPA OSWER Linked Data Workshop 1-Feb-2013
US EPA OSWER Linked Data Workshop 1-Feb-2013US EPA OSWER Linked Data Workshop 1-Feb-2013
US EPA OSWER Linked Data Workshop 1-Feb-2013
 
The PSI Directive and Open Government Data
The PSI Directive and Open Government DataThe PSI Directive and Open Government Data
The PSI Directive and Open Government Data
 
Open data for UK public sector organisations
Open data for UK public sector organisationsOpen data for UK public sector organisations
Open data for UK public sector organisations
 
SoBigData. European Research Infrastructure for Big Data and Social Mining
SoBigData. European Research Infrastructure for Big Data and Social MiningSoBigData. European Research Infrastructure for Big Data and Social Mining
SoBigData. European Research Infrastructure for Big Data and Social Mining
 
Lga local transparency roadshow 2014 value of local open data
Lga local transparency roadshow 2014 value of local open dataLga local transparency roadshow 2014 value of local open data
Lga local transparency roadshow 2014 value of local open data
 
Module 10 Open Government and Data
Module 10 Open Government and DataModule 10 Open Government and Data
Module 10 Open Government and Data
 
Open data pilot
Open data pilotOpen data pilot
Open data pilot
 
The linked open government data and metadata lifecycle
The linked open government data and metadata lifecycleThe linked open government data and metadata lifecycle
The linked open government data and metadata lifecycle
 
Ethiopian Open Government Data Initiative
Ethiopian Open Government Data InitiativeEthiopian Open Government Data Initiative
Ethiopian Open Government Data Initiative
 
Overview of the data pilot and OpenAIRE tools, Elly Dijk and Marjan Grootveld...
Overview of the data pilot and OpenAIRE tools, Elly Dijk and Marjan Grootveld...Overview of the data pilot and OpenAIRE tools, Elly Dijk and Marjan Grootveld...
Overview of the data pilot and OpenAIRE tools, Elly Dijk and Marjan Grootveld...
 
Open Data in Europe: Policies and Developments
Open Data in Europe: Policies and DevelopmentsOpen Data in Europe: Policies and Developments
Open Data in Europe: Policies and Developments
 
How open data are turned into services?
How open data are turned into services?How open data are turned into services?
How open data are turned into services?
 
Local Open Data: a perspective from local government in England 2014
Local Open Data: a perspective from local government in England 2014Local Open Data: a perspective from local government in England 2014
Local Open Data: a perspective from local government in England 2014
 
Local Open Data: A perspective from local government in England by Gesche Schmid
Local Open Data: A perspective from local government in England by Gesche SchmidLocal Open Data: A perspective from local government in England by Gesche Schmid
Local Open Data: A perspective from local government in England by Gesche Schmid
 
ODI Node Vienna: Best Practise Beispiele für: Open Innovation mittels Open Data
ODI Node Vienna: Best Practise Beispiele für: Open Innovation mittels Open DataODI Node Vienna: Best Practise Beispiele für: Open Innovation mittels Open Data
ODI Node Vienna: Best Practise Beispiele für: Open Innovation mittels Open Data
 
Introduction to linked data
Introduction to linked dataIntroduction to linked data
Introduction to linked data
 
Open data policy presentation/Mr. Silas Ngabirano
Open data policy presentation/Mr. Silas NgabiranoOpen data policy presentation/Mr. Silas Ngabirano
Open data policy presentation/Mr. Silas Ngabirano
 

Mais de Derilinx

Linked Open Statistical Data (LOSD) Pipeline
Linked Open Statistical Data (LOSD) PipelineLinked Open Statistical Data (LOSD) Pipeline
Linked Open Statistical Data (LOSD) PipelineDerilinx
 
Open Data for Artificical Intelligence
Open Data for Artificical IntelligenceOpen Data for Artificical Intelligence
Open Data for Artificical IntelligenceDerilinx
 
Exploring government open data
Exploring government open dataExploring government open data
Exploring government open dataDerilinx
 
Derilinx - Supporting Open Data Publication
Derilinx - Supporting Open Data PublicationDerilinx - Supporting Open Data Publication
Derilinx - Supporting Open Data PublicationDerilinx
 
Using Open Data in your Applications
Using Open Data in your ApplicationsUsing Open Data in your Applications
Using Open Data in your ApplicationsDerilinx
 
Data-Savvy Governments
Data-Savvy GovernmentsData-Savvy Governments
Data-Savvy GovernmentsDerilinx
 
How Open Data can help business
How Open Data can help businessHow Open Data can help business
How Open Data can help businessDerilinx
 
Engaging Citizens in Policy Issues: Multidimensional Approach, Evidence and L...
Engaging Citizens in Policy Issues: Multidimensional Approach, Evidence and L...Engaging Citizens in Policy Issues: Multidimensional Approach, Evidence and L...
Engaging Citizens in Policy Issues: Multidimensional Approach, Evidence and L...Derilinx
 
Engaging Citizens in Public Service & Policy Design
Engaging Citizens in Public Service & Policy DesignEngaging Citizens in Public Service & Policy Design
Engaging Citizens in Public Service & Policy DesignDerilinx
 
Puzzled by Policy - eParticipation in Europe
Puzzled by Policy - eParticipation in EuropePuzzled by Policy - eParticipation in Europe
Puzzled by Policy - eParticipation in EuropeDerilinx
 
Utilising Linked Social Media Data for Tracking Public Policy and Services
Utilising Linked Social Media Data for Tracking Public Policy and ServicesUtilising Linked Social Media Data for Tracking Public Policy and Services
Utilising Linked Social Media Data for Tracking Public Policy and ServicesDerilinx
 
Linked Open Data
Linked Open DataLinked Open Data
Linked Open DataDerilinx
 
Applied Linked Open Data: A Mobile Solution for Galway Volvo Ocean Race
Applied Linked Open Data: A Mobile Solution for Galway Volvo Ocean RaceApplied Linked Open Data: A Mobile Solution for Galway Volvo Ocean Race
Applied Linked Open Data: A Mobile Solution for Galway Volvo Ocean RaceDerilinx
 
Open Data - Where can it take us?
Open Data - Where can it take us? Open Data - Where can it take us?
Open Data - Where can it take us? Derilinx
 
Linked Open Government Data
Linked Open Government DataLinked Open Government Data
Linked Open Government DataDerilinx
 
Introduction to Open Data
Introduction to Open DataIntroduction to Open Data
Introduction to Open DataDerilinx
 

Mais de Derilinx (16)

Linked Open Statistical Data (LOSD) Pipeline
Linked Open Statistical Data (LOSD) PipelineLinked Open Statistical Data (LOSD) Pipeline
Linked Open Statistical Data (LOSD) Pipeline
 
Open Data for Artificical Intelligence
Open Data for Artificical IntelligenceOpen Data for Artificical Intelligence
Open Data for Artificical Intelligence
 
Exploring government open data
Exploring government open dataExploring government open data
Exploring government open data
 
Derilinx - Supporting Open Data Publication
Derilinx - Supporting Open Data PublicationDerilinx - Supporting Open Data Publication
Derilinx - Supporting Open Data Publication
 
Using Open Data in your Applications
Using Open Data in your ApplicationsUsing Open Data in your Applications
Using Open Data in your Applications
 
Data-Savvy Governments
Data-Savvy GovernmentsData-Savvy Governments
Data-Savvy Governments
 
How Open Data can help business
How Open Data can help businessHow Open Data can help business
How Open Data can help business
 
Engaging Citizens in Policy Issues: Multidimensional Approach, Evidence and L...
Engaging Citizens in Policy Issues: Multidimensional Approach, Evidence and L...Engaging Citizens in Policy Issues: Multidimensional Approach, Evidence and L...
Engaging Citizens in Policy Issues: Multidimensional Approach, Evidence and L...
 
Engaging Citizens in Public Service & Policy Design
Engaging Citizens in Public Service & Policy DesignEngaging Citizens in Public Service & Policy Design
Engaging Citizens in Public Service & Policy Design
 
Puzzled by Policy - eParticipation in Europe
Puzzled by Policy - eParticipation in EuropePuzzled by Policy - eParticipation in Europe
Puzzled by Policy - eParticipation in Europe
 
Utilising Linked Social Media Data for Tracking Public Policy and Services
Utilising Linked Social Media Data for Tracking Public Policy and ServicesUtilising Linked Social Media Data for Tracking Public Policy and Services
Utilising Linked Social Media Data for Tracking Public Policy and Services
 
Linked Open Data
Linked Open DataLinked Open Data
Linked Open Data
 
Applied Linked Open Data: A Mobile Solution for Galway Volvo Ocean Race
Applied Linked Open Data: A Mobile Solution for Galway Volvo Ocean RaceApplied Linked Open Data: A Mobile Solution for Galway Volvo Ocean Race
Applied Linked Open Data: A Mobile Solution for Galway Volvo Ocean Race
 
Open Data - Where can it take us?
Open Data - Where can it take us? Open Data - Where can it take us?
Open Data - Where can it take us?
 
Linked Open Government Data
Linked Open Government DataLinked Open Government Data
Linked Open Government Data
 
Introduction to Open Data
Introduction to Open DataIntroduction to Open Data
Introduction to Open Data
 

Último

Generative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusGenerative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusTimothy Spann
 
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% SecureCall me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% SecurePooja Nehwal
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysismanisha194592
 
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...shivangimorya083
 
Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...shambhavirathore45
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxolyaivanovalion
 
Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxJohnnyPlasten
 
Ravak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxRavak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxolyaivanovalion
 
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 
Mature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxMature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxolyaivanovalion
 
Discover Why Less is More in B2B Research
Discover Why Less is More in B2B ResearchDiscover Why Less is More in B2B Research
Discover Why Less is More in B2B Researchmichael115558
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxfirstjob4
 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023ymrp368
 
CebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptxCebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptxolyaivanovalion
 
Zuja dropshipping via API with DroFx.pptx
Zuja dropshipping via API with DroFx.pptxZuja dropshipping via API with DroFx.pptx
Zuja dropshipping via API with DroFx.pptxolyaivanovalion
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxolyaivanovalion
 
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxBPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxMohammedJunaid861692
 
Invezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz1
 
100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptx100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptxAnupama Kate
 
Midocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxMidocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxolyaivanovalion
 

Último (20)

Generative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusGenerative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and Milvus
 
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% SecureCall me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysis
 
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
 
Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptx
 
Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptx
 
Ravak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxRavak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptx
 
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
Mature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxMature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptx
 
Discover Why Less is More in B2B Research
Discover Why Less is More in B2B ResearchDiscover Why Less is More in B2B Research
Discover Why Less is More in B2B Research
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptx
 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023
 
CebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptxCebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptx
 
Zuja dropshipping via API with DroFx.pptx
Zuja dropshipping via API with DroFx.pptxZuja dropshipping via API with DroFx.pptx
Zuja dropshipping via API with DroFx.pptx
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptx
 
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxBPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
 
Invezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signals
 
100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptx100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptx
 
Midocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxMidocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFx
 

Complying with the EC Open Data Directive

  • 1. Deirdre Lee @deirdrelee @derilinx www.derilinx.com Complying with the EC Open Data Directive 24th March 2021
  • 2. 2 About Derilinx leads Linked and Open Data initiatives, providing fully hosted and managed data solutions.
  • 3. Directive on Open Data and Re-Use of Public Sector Information • Stimulate the publication of dynamic data and the uptake of Application Programme Interfaces (APIs); • Limit the exceptions that now enable public bodies to charge more than marginal costs of dissemination for data re-use; • Extend the scope of the directive to include data held by public undertakings, under a specific set of rules, and research data resulting from public funding; and • Strengthen the transparency requirements for agreements involving public sector information between public and private parties, thereby avoiding exclusive deals. • Require the publication of a list of high-value datasets to be provided free of charge. 3
  • 4. Where do I start? 4 1. What data do we manage? 2. Which data should we publish as Open Data? 3. How can we make data available as Open Data?
  • 5. What data do we manage? 5
  • 6. What data do we manage? 6 We don’t manage any data It’s already published on our website It’s too big The data is of poor quality It’s not very interesting The data is domain-specific People will misinterpret the data It’s available in reports
  • 7. What data do we manage? 7 https://www.tusla.ie/publications/
  • 8. 8 Identify Datasets through a Data Audit A Data Audit helps Public Bodies compile a comprehensive inventory of datasets they manage, and classify if these datasets are suitable for data sharing or publication as Open Data. (Also useful for GDPR and Public Service Data Catalogue) https://datacatalogue.gov.ie/
  • 9. Identify Datasets through a Data Audit • Name of the dataset • Description of the dataset • Dataset manager(s) • Link to dataset • Classification • Format • Publication frequency • Demand for this dataset • General Comments 9
  • 10. Open Data Audit Tool 10 http://audit.data.gov.ie/
  • 11. A Data Audit results in a data inventory 11
  • 12. Which data should we publish as Open Data? 12
  • 13. Which data should we publish as Open Data? 13 High-Value Sustainable Low-Hanging Fruit
  • 14. High-Value Datasets • Have a high commercial potential and can speed up the emergence of value- added EU-wide information products. They will also serve as key data sources for the development of Artificial Intelligence. • They are subject to a separate set of rules ensuring their availability free of charge, in machine readable formats, provided via APIs and, where relevant, as bulk download. 14 • Defined as documents the re-use of which is associated with important benefits for the society and economy.
  • 15. High-Value Datasets (HVDs) 15 • Geospatial – e.g. national and local maps, postcodes • Statistics – e.g. demographic and economic indicators • Companies and company ownership – e.g. business registers and registration identifiers • Mobility – e.g. road signs and inland waterways • Earth observation and environment – e.g. energy consumption and satellite images • Meteorological – e.g. in situ data from instruments and weather forecasts
  • 16. HVDs – Is there a Demand for this information? 16 ➢ From colleagues ➢ From other Public Bodies ➢ From researchers ➢ From the general public ➢ Via FOIs ➢ Via PQs
  • 17. Sustainable Dataset Can we continue to support the publication of this dataset on an ongoing basis? • Are individuals a bottleneck? • Is the publication process repeatable? • Can publishing be automated? • Can a harvester be built to automate publication? 17
  • 19. Low-Hanging Fruit 19 Start publishing the easier, non-controversial datasets, e.g. service information, data that is already available in non machine-readable formats, etc. People will misinterpret the data I don’t mind, but someone else might We’ll get spam The data is of poor quality
  • 20. Which data should we publish as Open Data? 20 High-Value Sustainable
  • 22. How can we make data available as Open Data? 22
  • 23. 23 People need raw data to integrate, visualize, analyse, plan, decide, innovate, build, etc.
  • 24. For example, publication of COVID19 datasets 24 https://data.gov.ie/dataset?q=covid https://covid19ireland-geohive.hub.arcgis.com/
  • 26. Where is your data currently stored/managed? 26 • Spreadsheets on your computer • On a shared workspace • On a file server • In a specific system • On your website
  • 27. Make data available online in open, machine-readable formats 27 General • CSV • JSON • XML • ODF • RDF • TSV Geospatial • GeoJSON • GML • KML • WKT • LAS • IFC • Shapefile • WMS Domain-Specific • PX • JSON-stat • NetCDF • BUFR • Datex II • GTFS • HDF5 • GRIB
  • 28. 28 Source Systems Publish Raw Data Online Publish Metadata on Website Data Catalogue File Server API
  • 29. Building an Application Programming Interface (API) 29 ✓ Integration ✓ Flexibility ✓ Best option for dynamic data ✓ Application development ❖ Upfront effort
  • 30. How to be discoverable on ? 30
  • 31. Manual Publication of Data 31 ✓ Good for once-off publication ✓ Suitable for linking to an API endpoint ❖ Not sustainable in long-term
  • 32. Be harvested by 32 ✓ Automated ✓ Keeps data up-to-date ✓ Harvester built by Derilinx
  • 33. Where do I start? 33 1. What data do we manage? – Carry out a data-audit 2. Which data should we publish as Open Data? – High-value / sustainable / low-hanging fruit 3. How can we make data available as Open Data? – Publish online in open, machine-readable formats 4. How to be discoverable on ? – Manually / via harvester