SlideShare a Scribd company logo
1 of 23
OpenDataMonitor
Horizon 2020
Coordination and Support Action
GARRI-3-2014 Scientific Information in the Digital Age: Text and Data Mining (TDM)
Project number: 665940
Supporting the Uptake of TDM
FutureTDM
Reducing Barriers and Increasing Uptake of Text and Data Mining for Research Environments
using a Collaborative Knowledge and Open Information Approach
LIBER 2017
Kiera McNeice
5 July, 2017
www.futuretdm.eu
What is FutureTDM?
What is FutureTDM?
Identify and address barriers to the greater
uptake of data analytics technologies in the EU
• EU-funded (Horizon 2020)
• September 2015 – September 2017
• 9 project partners
3
Stakeholder engagement
• Knowledge Cafés
• Interviews
• Workshops
• Surveys
4
http://www.futuretdm.eu/knowledge-cafes/
Activities in 2017
Recently published:
• FutureTDM Policy Framework
• Future applications and economics of TDM
• Guidelines for TDM stakeholders and practitioners
Coming soon:
• Case studies: Best practices to support TDM
• Roadmap for increasing uptake of TDM
5
Stakeholder Guidelines
FutureTDM Stakeholder Guidelines
7
• Aimed at giving concrete, practical advice
• Legal guidelines
• Is my TDM project lawful? Do I need expert advice?
• Licensee guidelines
• What makes a TDM licence reasonable and
proportionate to user needs?
• Data management guidelines
• What do machine ‘readers’ need for TDM?
• Guidelines for university policy
• How can universities support TDM strategically?
Legal Guidelines
Legal uncertainty around TDM
9
• What laws apply, and to which TDM
activities?
• Copyright, database rights, data protection…
• Reading, processing, copying, publishing excerpts…
• Who benefits from legal exceptions?
• What is “non-commercial”?
• What is a “research organisation”?
FutureTDM Legal Guidelines
10
• Breakdown of when legal considerations are
relevant
• Intellectual property: Do I need a licence?
• Data protection: What do I need to consider?
• When to seek expert legal advice
Licensee Guidelines
Licensing content for TDM
12
• TDM requires large datasets
• Potentially from hundreds or thousands of sources
• Uncertainty around who may benefit from
exceptions to copyright
• Many existing licences are unclear or silent on
TDM activities
Licensing considerations for TDM: Reasonable and Proportionate?
13
• Does it make practical sense to distinguish between
‘commercial’ and ‘non-commercial’ research?
• Does intrusive usage and activity monitoring affect
researchers’ academic freedoms?
• Can researchers reproduce reasonable, illustrative
excerpts of content with their analysis?
• Is it practical for researchers to attribute credit to
every piece of content used in analysis?
• Do technical protection measures prevent
researchers from carrying out TDM at reasonable
scales?
Data Management Guidelines
Data Management in the Context of TDM
• Human and machine ‘readers’ have different
needs
• Open access does not necessarily mean
practically accessible for TDM
• Machine ‘readers’ need:
• Machine-readable file format
• Machine-readable metadata
• Bulk access to content
What do Machine ‘Readers’ Need?
• Key (machine-readable) metadata:
• Permanent identifiers
• What licences or rights apply to content
• Data type, format, size
• Any specific tools needed to work with the data
• Data provenance and rights-holder information
• Data changes and versioning
• Other domain-specific metadata
Guidelines for University Policy
The Role of Universities
• Universities are involved in all aspects of the
TDM value chain
• Content creation
• Content dissemination
• Development and use of TDM tools
• Sharing of new knowledge and insights
• …but very few in Europe have strategic policy
approaches to TDM
Encouraging Development of Strategic TDM Policy
• Demonstrate need
• Involve stakeholders
• Understand your institution
• Consolidate information
• Identify promoters and early adopters
• Introduce incentives
• Share your progress!
The Role of Libraries
How can Libraries Support TDM?
• Help connect researchers with expert legal
advice where needed
• Consider researcher needs in the context of
TDM when negotiating licences
• Ensure repositories have machine-readable
metadata to make TDM practically feasible
• Work within universities or institutions to
develop strategic approaches to supporting
TDM
Questions?
Thank you!
www.futuretdm.eu

More Related Content

What's hot

The legal factors
The legal factorsThe legal factors
The legal factorsFutureTDM
 
Technologies and infrastructures supporting text and data analytics: Challeng...
Technologies and infrastructures supporting text and data analytics: Challeng...Technologies and infrastructures supporting text and data analytics: Challeng...
Technologies and infrastructures supporting text and data analytics: Challeng...FutureTDM
 
EDF2014: Talk of Stefan Decker, Director, Insight Galway, Ireland & Anthony M...
EDF2014: Talk of Stefan Decker, Director, Insight Galway, Ireland & Anthony M...EDF2014: Talk of Stefan Decker, Director, Insight Galway, Ireland & Anthony M...
EDF2014: Talk of Stefan Decker, Director, Insight Galway, Ireland & Anthony M...European Data Forum
 
Horizon 2020 Open Research Data Pilot, Jean-Claude Burgelman, DG RTD European...
Horizon 2020 Open Research Data Pilot, Jean-Claude Burgelman, DG RTD European...Horizon 2020 Open Research Data Pilot, Jean-Claude Burgelman, DG RTD European...
Horizon 2020 Open Research Data Pilot, Jean-Claude Burgelman, DG RTD European...OpenAIRE
 
20190527_Helena Cousijn _ FREYA
20190527_Helena Cousijn _ FREYA20190527_Helena Cousijn _ FREYA
20190527_Helena Cousijn _ FREYAOpenAIRE
 
Toward FAIR Semantic Resources
Toward FAIR Semantic ResourcesToward FAIR Semantic Resources
Toward FAIR Semantic ResourcesEUDAT
 
Bristol's Research Data Service - Debra Hiom - Jisc Digital Festival 2014
Bristol's Research Data Service - Debra Hiom - Jisc Digital Festival 2014Bristol's Research Data Service - Debra Hiom - Jisc Digital Festival 2014
Bristol's Research Data Service - Debra Hiom - Jisc Digital Festival 2014Jisc
 
EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...
EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...
EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...European Data Forum
 
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
 
OpenAIRE implementing open science
OpenAIRE implementing open scienceOpenAIRE implementing open science
OpenAIRE implementing open scienceJisc
 
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
 
PID Services for FAIR data
PID Services for FAIR dataPID Services for FAIR data
PID Services for FAIR dataOpenAIRE
 
PID services - understandability and findability of data
PID services - understandability and findability of dataPID services - understandability and findability of data
PID services - understandability and findability of dataEOSC-hub project
 
20190527_Diego Chialva_ Research evaluation: the unseized opportunities ...
20190527_Diego Chialva_ Research evaluation: the unseized opportunities ...20190527_Diego Chialva_ Research evaluation: the unseized opportunities ...
20190527_Diego Chialva_ Research evaluation: the unseized opportunities ...OpenAIRE
 
OpenAIRE-connect: Services for open science
OpenAIRE-connect: Services for open scienceOpenAIRE-connect: Services for open science
OpenAIRE-connect: Services for open scienceJisc
 
European open science cloud
European open science cloudEuropean open science cloud
European open science cloudJisc
 

What's hot (20)

Kuliman "Content Profiles & linked documents"
Kuliman "Content Profiles & linked documents"Kuliman "Content Profiles & linked documents"
Kuliman "Content Profiles & linked documents"
 
The legal factors
The legal factorsThe legal factors
The legal factors
 
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
 
Heckner "Content Presentation: Diversity of Formats"
Heckner "Content Presentation: Diversity of Formats"Heckner "Content Presentation: Diversity of Formats"
Heckner "Content Presentation: Diversity of Formats"
 
Technologies and infrastructures supporting text and data analytics: Challeng...
Technologies and infrastructures supporting text and data analytics: Challeng...Technologies and infrastructures supporting text and data analytics: Challeng...
Technologies and infrastructures supporting text and data analytics: Challeng...
 
EDF2014: Talk of Stefan Decker, Director, Insight Galway, Ireland & Anthony M...
EDF2014: Talk of Stefan Decker, Director, Insight Galway, Ireland & Anthony M...EDF2014: Talk of Stefan Decker, Director, Insight Galway, Ireland & Anthony M...
EDF2014: Talk of Stefan Decker, Director, Insight Galway, Ireland & Anthony M...
 
Horizon 2020 Open Research Data Pilot, Jean-Claude Burgelman, DG RTD European...
Horizon 2020 Open Research Data Pilot, Jean-Claude Burgelman, DG RTD European...Horizon 2020 Open Research Data Pilot, Jean-Claude Burgelman, DG RTD European...
Horizon 2020 Open Research Data Pilot, Jean-Claude Burgelman, DG RTD European...
 
20190527_Helena Cousijn _ FREYA
20190527_Helena Cousijn _ FREYA20190527_Helena Cousijn _ FREYA
20190527_Helena Cousijn _ FREYA
 
Toward FAIR Semantic Resources
Toward FAIR Semantic ResourcesToward FAIR Semantic Resources
Toward FAIR Semantic Resources
 
Bristol's Research Data Service - Debra Hiom - Jisc Digital Festival 2014
Bristol's Research Data Service - Debra Hiom - Jisc Digital Festival 2014Bristol's Research Data Service - Debra Hiom - Jisc Digital Festival 2014
Bristol's Research Data Service - Debra Hiom - Jisc Digital Festival 2014
 
Esociety presentation krems cedem 2014
Esociety presentation krems cedem 2014Esociety presentation krems cedem 2014
Esociety presentation krems cedem 2014
 
EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...
EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...
EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...
 
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...
 
OpenAIRE implementing open science
OpenAIRE implementing open scienceOpenAIRE implementing open science
OpenAIRE implementing open science
 
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
 
PID Services for FAIR data
PID Services for FAIR dataPID Services for FAIR data
PID Services for FAIR data
 
PID services - understandability and findability of data
PID services - understandability and findability of dataPID services - understandability and findability of data
PID services - understandability and findability of data
 
20190527_Diego Chialva_ Research evaluation: the unseized opportunities ...
20190527_Diego Chialva_ Research evaluation: the unseized opportunities ...20190527_Diego Chialva_ Research evaluation: the unseized opportunities ...
20190527_Diego Chialva_ Research evaluation: the unseized opportunities ...
 
OpenAIRE-connect: Services for open science
OpenAIRE-connect: Services for open scienceOpenAIRE-connect: Services for open science
OpenAIRE-connect: Services for open science
 
European open science cloud
European open science cloudEuropean open science cloud
European open science cloud
 

Similar to Supporting the uptake of TDM

UKSG 2023 - A TDM journey: understanding user needs and developing library su...
UKSG 2023 - A TDM journey: understanding user needs and developing library su...UKSG 2023 - A TDM journey: understanding user needs and developing library su...
UKSG 2023 - A TDM journey: understanding user needs and developing library su...UKSG: connecting the knowledge community
 
Lessons from Journal Research Data Policy Registry Pilot
Lessons from Journal Research Data Policy Registry PilotLessons from Journal Research Data Policy Registry Pilot
Lessons from Journal Research Data Policy Registry PilotJisc RDM
 
FutureTDM Symposium: Skills & Education
FutureTDM Symposium: Skills & EducationFutureTDM Symposium: Skills & Education
FutureTDM Symposium: Skills & EducationFutureTDM
 
Open Research Data & H2020
Open Research Data & H2020Open Research Data & H2020
Open Research Data & H2020Sarah Jones
 
20170530_Open Research Data in Horizon 2020
20170530_Open Research Data in Horizon 202020170530_Open Research Data in Horizon 2020
20170530_Open Research Data in Horizon 2020OpenAIRE
 
Digital notebooks - a Jisc perspective
Digital notebooks - a Jisc perspectiveDigital notebooks - a Jisc perspective
Digital notebooks - a Jisc perspectiveChristopher Brown
 
The Role of Libraries in the Adoption of Research Data Management. Ingeborg V...
The Role of Libraries in the Adoption of Research Data Management. Ingeborg V...The Role of Libraries in the Adoption of Research Data Management. Ingeborg V...
The Role of Libraries in the Adoption of Research Data Management. Ingeborg V...LIBER Europe
 
Bl cybersecurity z_dooly
Bl cybersecurity z_doolyBl cybersecurity z_dooly
Bl cybersecurity z_doolyzdooly
 
Health information professionals and Artificial Intelligence
Health information professionals and Artificial IntelligenceHealth information professionals and Artificial Intelligence
Health information professionals and Artificial Intelligencecoxamcoxam
 
Jisc Research Data Shared Service Open Repositories 2018 Paper
Jisc Research Data Shared Service Open Repositories 2018 PaperJisc Research Data Shared Service Open Repositories 2018 Paper
Jisc Research Data Shared Service Open Repositories 2018 PaperJisc RDM
 
LIBER Webinar: Are the FAIR Data Principles really fair?
LIBER Webinar: Are the FAIR Data Principles really fair?LIBER Webinar: Are the FAIR Data Principles really fair?
LIBER Webinar: Are the FAIR Data Principles really fair?LIBER Europe
 
Creating a Data Management Plan for your Grant Application
Creating a Data Management Plan for your Grant ApplicationCreating a Data Management Plan for your Grant Application
Creating a Data Management Plan for your Grant ApplicationHistoric Environment Scotland
 
Creating a Data Management Plan for your Grant Application
Creating a Data Management Plan for your Grant ApplicationCreating a Data Management Plan for your Grant Application
Creating a Data Management Plan for your Grant ApplicationEDINA, University of Edinburgh
 
Open Access Week 2017: Research data management and data management plans (Fl...
Open Access Week 2017: Research data management and data management plans (Fl...Open Access Week 2017: Research data management and data management plans (Fl...
Open Access Week 2017: Research data management and data management plans (Fl...OpenAIRE
 
Supporting Research Data Management in UK Universities: the Jisc Managing Res...
Supporting Research Data Management in UK Universities: the Jisc Managing Res...Supporting Research Data Management in UK Universities: the Jisc Managing Res...
Supporting Research Data Management in UK Universities: the Jisc Managing Res...L Molloy
 
FutureTDM Workshop II 29 March
FutureTDM Workshop II 29 MarchFutureTDM Workshop II 29 March
FutureTDM Workshop II 29 MarchFutureTDM
 
Creating a Data Management Plan for your Research
Creating a Data Management Plan for your ResearchCreating a Data Management Plan for your Research
Creating a Data Management Plan for your ResearchRobin Rice
 
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
 
Internet of things ecosystem: The quest for value
Internet of things ecosystem: The quest for valueInternet of things ecosystem: The quest for value
Internet of things ecosystem: The quest for valueDeloitte United States
 
FutureTDM Roadmap
FutureTDM RoadmapFutureTDM Roadmap
FutureTDM RoadmapFutureTDM
 

Similar to Supporting the uptake of TDM (20)

UKSG 2023 - A TDM journey: understanding user needs and developing library su...
UKSG 2023 - A TDM journey: understanding user needs and developing library su...UKSG 2023 - A TDM journey: understanding user needs and developing library su...
UKSG 2023 - A TDM journey: understanding user needs and developing library su...
 
Lessons from Journal Research Data Policy Registry Pilot
Lessons from Journal Research Data Policy Registry PilotLessons from Journal Research Data Policy Registry Pilot
Lessons from Journal Research Data Policy Registry Pilot
 
FutureTDM Symposium: Skills & Education
FutureTDM Symposium: Skills & EducationFutureTDM Symposium: Skills & Education
FutureTDM Symposium: Skills & Education
 
Open Research Data & H2020
Open Research Data & H2020Open Research Data & H2020
Open Research Data & H2020
 
20170530_Open Research Data in Horizon 2020
20170530_Open Research Data in Horizon 202020170530_Open Research Data in Horizon 2020
20170530_Open Research Data in Horizon 2020
 
Digital notebooks - a Jisc perspective
Digital notebooks - a Jisc perspectiveDigital notebooks - a Jisc perspective
Digital notebooks - a Jisc perspective
 
The Role of Libraries in the Adoption of Research Data Management. Ingeborg V...
The Role of Libraries in the Adoption of Research Data Management. Ingeborg V...The Role of Libraries in the Adoption of Research Data Management. Ingeborg V...
The Role of Libraries in the Adoption of Research Data Management. Ingeborg V...
 
Bl cybersecurity z_dooly
Bl cybersecurity z_doolyBl cybersecurity z_dooly
Bl cybersecurity z_dooly
 
Health information professionals and Artificial Intelligence
Health information professionals and Artificial IntelligenceHealth information professionals and Artificial Intelligence
Health information professionals and Artificial Intelligence
 
Jisc Research Data Shared Service Open Repositories 2018 Paper
Jisc Research Data Shared Service Open Repositories 2018 PaperJisc Research Data Shared Service Open Repositories 2018 Paper
Jisc Research Data Shared Service Open Repositories 2018 Paper
 
LIBER Webinar: Are the FAIR Data Principles really fair?
LIBER Webinar: Are the FAIR Data Principles really fair?LIBER Webinar: Are the FAIR Data Principles really fair?
LIBER Webinar: Are the FAIR Data Principles really fair?
 
Creating a Data Management Plan for your Grant Application
Creating a Data Management Plan for your Grant ApplicationCreating a Data Management Plan for your Grant Application
Creating a Data Management Plan for your Grant Application
 
Creating a Data Management Plan for your Grant Application
Creating a Data Management Plan for your Grant ApplicationCreating a Data Management Plan for your Grant Application
Creating a Data Management Plan for your Grant Application
 
Open Access Week 2017: Research data management and data management plans (Fl...
Open Access Week 2017: Research data management and data management plans (Fl...Open Access Week 2017: Research data management and data management plans (Fl...
Open Access Week 2017: Research data management and data management plans (Fl...
 
Supporting Research Data Management in UK Universities: the Jisc Managing Res...
Supporting Research Data Management in UK Universities: the Jisc Managing Res...Supporting Research Data Management in UK Universities: the Jisc Managing Res...
Supporting Research Data Management in UK Universities: the Jisc Managing Res...
 
FutureTDM Workshop II 29 March
FutureTDM Workshop II 29 MarchFutureTDM Workshop II 29 March
FutureTDM Workshop II 29 March
 
Creating a Data Management Plan for your Research
Creating a Data Management Plan for your ResearchCreating a Data Management Plan for your Research
Creating a Data Management Plan for your Research
 
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
 
Internet of things ecosystem: The quest for value
Internet of things ecosystem: The quest for valueInternet of things ecosystem: The quest for value
Internet of things ecosystem: The quest for value
 
FutureTDM Roadmap
FutureTDM RoadmapFutureTDM Roadmap
FutureTDM Roadmap
 

More from openminted_eu

Resource sync overview and real-world use cases for discovery, harvesting, an...
Resource sync overview and real-world use cases for discovery, harvesting, an...Resource sync overview and real-world use cases for discovery, harvesting, an...
Resource sync overview and real-world use cases for discovery, harvesting, an...openminted_eu
 
Seamless access to the world's open access research papers via resources sync
Seamless access to the world's open access research papers via resources syncSeamless access to the world's open access research papers via resources sync
Seamless access to the world's open access research papers via resources syncopenminted_eu
 
Webinar slides: Interoperability between resources involved in TDM at the lev...
Webinar slides: Interoperability between resources involved in TDM at the lev...Webinar slides: Interoperability between resources involved in TDM at the lev...
Webinar slides: Interoperability between resources involved in TDM at the lev...openminted_eu
 
Text Mining: the next data frontier. Beyond Open Access
Text Mining: the next data frontier. Beyond Open AccessText Mining: the next data frontier. Beyond Open Access
Text Mining: the next data frontier. Beyond Open Accessopenminted_eu
 
Legal issues Text and Data Mining
Legal issues Text and Data MiningLegal issues Text and Data Mining
Legal issues Text and Data Miningopenminted_eu
 
How can repositories support the text mining of their content and why?
How can repositories support the text mining of their content and why?How can repositories support the text mining of their content and why?
How can repositories support the text mining of their content and why?openminted_eu
 
Tentative steps in mining UK theses
Tentative steps in mining UK thesesTentative steps in mining UK theses
Tentative steps in mining UK thesesopenminted_eu
 
OpenMinTeD - Repositories in the centre of new scientific knowledge
OpenMinTeD - Repositories in the centre of new scientific knowledgeOpenMinTeD - Repositories in the centre of new scientific knowledge
OpenMinTeD - Repositories in the centre of new scientific knowledgeopenminted_eu
 
Jisc Text Mining Capabilities
Jisc Text Mining CapabilitiesJisc Text Mining Capabilities
Jisc Text Mining Capabilitiesopenminted_eu
 
OpenMinted: It's Uses and Benefits for the Social Sciences
OpenMinted: It's Uses and Benefits for the Social SciencesOpenMinted: It's Uses and Benefits for the Social Sciences
OpenMinted: It's Uses and Benefits for the Social Sciencesopenminted_eu
 
OpenMinTeD - Une infrastructure text-mining au service des scientifiques
OpenMinTeD - Une infrastructure text-mining au service des scientifiquesOpenMinTeD - Une infrastructure text-mining au service des scientifiques
OpenMinTeD - Une infrastructure text-mining au service des scientifiquesopenminted_eu
 
The Future is All Mine
The Future is All MineThe Future is All Mine
The Future is All Mineopenminted_eu
 
Infrastructure crossroads... and the way we walked them in DKPro
Infrastructure crossroads... and the way we walked them in DKProInfrastructure crossroads... and the way we walked them in DKPro
Infrastructure crossroads... and the way we walked them in DKProopenminted_eu
 
OpenMinTeD: Making Sense of Large Volumes of Data
OpenMinTeD: Making Sense of Large Volumes of DataOpenMinTeD: Making Sense of Large Volumes of Data
OpenMinTeD: Making Sense of Large Volumes of Dataopenminted_eu
 
Experiences of Text Mining; the National Library of Austria perspective
Experiences of Text Mining; the National Library of Austria perspectiveExperiences of Text Mining; the National Library of Austria perspective
Experiences of Text Mining; the National Library of Austria perspectiveopenminted_eu
 
Text and Data Mining at the Royal Library in the Netherlands
Text and Data Mining at the Royal Library in the NetherlandsText and Data Mining at the Royal Library in the Netherlands
Text and Data Mining at the Royal Library in the Netherlandsopenminted_eu
 
The Breakdown: What is OpenMinTeD?
The Breakdown: What is OpenMinTeD?The Breakdown: What is OpenMinTeD?
The Breakdown: What is OpenMinTeD?openminted_eu
 

More from openminted_eu (17)

Resource sync overview and real-world use cases for discovery, harvesting, an...
Resource sync overview and real-world use cases for discovery, harvesting, an...Resource sync overview and real-world use cases for discovery, harvesting, an...
Resource sync overview and real-world use cases for discovery, harvesting, an...
 
Seamless access to the world's open access research papers via resources sync
Seamless access to the world's open access research papers via resources syncSeamless access to the world's open access research papers via resources sync
Seamless access to the world's open access research papers via resources sync
 
Webinar slides: Interoperability between resources involved in TDM at the lev...
Webinar slides: Interoperability between resources involved in TDM at the lev...Webinar slides: Interoperability between resources involved in TDM at the lev...
Webinar slides: Interoperability between resources involved in TDM at the lev...
 
Text Mining: the next data frontier. Beyond Open Access
Text Mining: the next data frontier. Beyond Open AccessText Mining: the next data frontier. Beyond Open Access
Text Mining: the next data frontier. Beyond Open Access
 
Legal issues Text and Data Mining
Legal issues Text and Data MiningLegal issues Text and Data Mining
Legal issues Text and Data Mining
 
How can repositories support the text mining of their content and why?
How can repositories support the text mining of their content and why?How can repositories support the text mining of their content and why?
How can repositories support the text mining of their content and why?
 
Tentative steps in mining UK theses
Tentative steps in mining UK thesesTentative steps in mining UK theses
Tentative steps in mining UK theses
 
OpenMinTeD - Repositories in the centre of new scientific knowledge
OpenMinTeD - Repositories in the centre of new scientific knowledgeOpenMinTeD - Repositories in the centre of new scientific knowledge
OpenMinTeD - Repositories in the centre of new scientific knowledge
 
Jisc Text Mining Capabilities
Jisc Text Mining CapabilitiesJisc Text Mining Capabilities
Jisc Text Mining Capabilities
 
OpenMinted: It's Uses and Benefits for the Social Sciences
OpenMinted: It's Uses and Benefits for the Social SciencesOpenMinted: It's Uses and Benefits for the Social Sciences
OpenMinted: It's Uses and Benefits for the Social Sciences
 
OpenMinTeD - Une infrastructure text-mining au service des scientifiques
OpenMinTeD - Une infrastructure text-mining au service des scientifiquesOpenMinTeD - Une infrastructure text-mining au service des scientifiques
OpenMinTeD - Une infrastructure text-mining au service des scientifiques
 
The Future is All Mine
The Future is All MineThe Future is All Mine
The Future is All Mine
 
Infrastructure crossroads... and the way we walked them in DKPro
Infrastructure crossroads... and the way we walked them in DKProInfrastructure crossroads... and the way we walked them in DKPro
Infrastructure crossroads... and the way we walked them in DKPro
 
OpenMinTeD: Making Sense of Large Volumes of Data
OpenMinTeD: Making Sense of Large Volumes of DataOpenMinTeD: Making Sense of Large Volumes of Data
OpenMinTeD: Making Sense of Large Volumes of Data
 
Experiences of Text Mining; the National Library of Austria perspective
Experiences of Text Mining; the National Library of Austria perspectiveExperiences of Text Mining; the National Library of Austria perspective
Experiences of Text Mining; the National Library of Austria perspective
 
Text and Data Mining at the Royal Library in the Netherlands
Text and Data Mining at the Royal Library in the NetherlandsText and Data Mining at the Royal Library in the Netherlands
Text and Data Mining at the Royal Library in the Netherlands
 
The Breakdown: What is OpenMinTeD?
The Breakdown: What is OpenMinTeD?The Breakdown: What is OpenMinTeD?
The Breakdown: What is OpenMinTeD?
 

Recently uploaded

Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Patrick Diehl
 
BUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdf
BUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdfBUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdf
BUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdfWildaNurAmalia2
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfSELF-EXPLANATORY
 
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxLIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxmalonesandreagweneth
 
User Guide: Capricorn FLX™ Weather Station
User Guide: Capricorn FLX™ Weather StationUser Guide: Capricorn FLX™ Weather Station
User Guide: Capricorn FLX™ Weather StationColumbia Weather Systems
 
Davis plaque method.pptx recombinant DNA technology
Davis plaque method.pptx recombinant DNA technologyDavis plaque method.pptx recombinant DNA technology
Davis plaque method.pptx recombinant DNA technologycaarthichand2003
 
Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...Nistarini College, Purulia (W.B) India
 
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdf
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdfPests of Blackgram, greengram, cowpea_Dr.UPR.pdf
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdfPirithiRaju
 
Transposable elements in prokaryotes.ppt
Transposable elements in prokaryotes.pptTransposable elements in prokaryotes.ppt
Transposable elements in prokaryotes.pptArshadWarsi13
 
GenBio2 - Lesson 1 - Introduction to Genetics.pptx
GenBio2 - Lesson 1 - Introduction to Genetics.pptxGenBio2 - Lesson 1 - Introduction to Genetics.pptx
GenBio2 - Lesson 1 - Introduction to Genetics.pptxBerniceCayabyab1
 
Pests of castor_Binomics_Identification_Dr.UPR.pdf
Pests of castor_Binomics_Identification_Dr.UPR.pdfPests of castor_Binomics_Identification_Dr.UPR.pdf
Pests of castor_Binomics_Identification_Dr.UPR.pdfPirithiRaju
 
Solution chemistry, Moral and Normal solutions
Solution chemistry, Moral and Normal solutionsSolution chemistry, Moral and Normal solutions
Solution chemistry, Moral and Normal solutionsHajira Mahmood
 
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)riyaescorts54
 
Neurodevelopmental disorders according to the dsm 5 tr
Neurodevelopmental disorders according to the dsm 5 trNeurodevelopmental disorders according to the dsm 5 tr
Neurodevelopmental disorders according to the dsm 5 trssuser06f238
 
Speech, hearing, noise, intelligibility.pptx
Speech, hearing, noise, intelligibility.pptxSpeech, hearing, noise, intelligibility.pptx
Speech, hearing, noise, intelligibility.pptxpriyankatabhane
 
Grafana in space: Monitoring Japan's SLIM moon lander in real time
Grafana in space: Monitoring Japan's SLIM moon lander  in real timeGrafana in space: Monitoring Japan's SLIM moon lander  in real time
Grafana in space: Monitoring Japan's SLIM moon lander in real timeSatoshi NAKAHIRA
 
Scheme-of-Work-Science-Stage-4 cambridge science.docx
Scheme-of-Work-Science-Stage-4 cambridge science.docxScheme-of-Work-Science-Stage-4 cambridge science.docx
Scheme-of-Work-Science-Stage-4 cambridge science.docxyaramohamed343013
 
User Guide: Magellan MX™ Weather Station
User Guide: Magellan MX™ Weather StationUser Guide: Magellan MX™ Weather Station
User Guide: Magellan MX™ Weather StationColumbia Weather Systems
 
Environmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial BiosensorEnvironmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial Biosensorsonawaneprad
 

Recently uploaded (20)

Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
 
Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?
 
BUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdf
BUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdfBUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdf
BUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdf
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
 
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxLIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
 
User Guide: Capricorn FLX™ Weather Station
User Guide: Capricorn FLX™ Weather StationUser Guide: Capricorn FLX™ Weather Station
User Guide: Capricorn FLX™ Weather Station
 
Davis plaque method.pptx recombinant DNA technology
Davis plaque method.pptx recombinant DNA technologyDavis plaque method.pptx recombinant DNA technology
Davis plaque method.pptx recombinant DNA technology
 
Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...
 
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdf
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdfPests of Blackgram, greengram, cowpea_Dr.UPR.pdf
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdf
 
Transposable elements in prokaryotes.ppt
Transposable elements in prokaryotes.pptTransposable elements in prokaryotes.ppt
Transposable elements in prokaryotes.ppt
 
GenBio2 - Lesson 1 - Introduction to Genetics.pptx
GenBio2 - Lesson 1 - Introduction to Genetics.pptxGenBio2 - Lesson 1 - Introduction to Genetics.pptx
GenBio2 - Lesson 1 - Introduction to Genetics.pptx
 
Pests of castor_Binomics_Identification_Dr.UPR.pdf
Pests of castor_Binomics_Identification_Dr.UPR.pdfPests of castor_Binomics_Identification_Dr.UPR.pdf
Pests of castor_Binomics_Identification_Dr.UPR.pdf
 
Solution chemistry, Moral and Normal solutions
Solution chemistry, Moral and Normal solutionsSolution chemistry, Moral and Normal solutions
Solution chemistry, Moral and Normal solutions
 
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)
 
Neurodevelopmental disorders according to the dsm 5 tr
Neurodevelopmental disorders according to the dsm 5 trNeurodevelopmental disorders according to the dsm 5 tr
Neurodevelopmental disorders according to the dsm 5 tr
 
Speech, hearing, noise, intelligibility.pptx
Speech, hearing, noise, intelligibility.pptxSpeech, hearing, noise, intelligibility.pptx
Speech, hearing, noise, intelligibility.pptx
 
Grafana in space: Monitoring Japan's SLIM moon lander in real time
Grafana in space: Monitoring Japan's SLIM moon lander  in real timeGrafana in space: Monitoring Japan's SLIM moon lander  in real time
Grafana in space: Monitoring Japan's SLIM moon lander in real time
 
Scheme-of-Work-Science-Stage-4 cambridge science.docx
Scheme-of-Work-Science-Stage-4 cambridge science.docxScheme-of-Work-Science-Stage-4 cambridge science.docx
Scheme-of-Work-Science-Stage-4 cambridge science.docx
 
User Guide: Magellan MX™ Weather Station
User Guide: Magellan MX™ Weather StationUser Guide: Magellan MX™ Weather Station
User Guide: Magellan MX™ Weather Station
 
Environmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial BiosensorEnvironmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial Biosensor
 

Supporting the uptake of TDM

  • 1. OpenDataMonitor Horizon 2020 Coordination and Support Action GARRI-3-2014 Scientific Information in the Digital Age: Text and Data Mining (TDM) Project number: 665940 Supporting the Uptake of TDM FutureTDM Reducing Barriers and Increasing Uptake of Text and Data Mining for Research Environments using a Collaborative Knowledge and Open Information Approach LIBER 2017 Kiera McNeice 5 July, 2017 www.futuretdm.eu
  • 3. What is FutureTDM? Identify and address barriers to the greater uptake of data analytics technologies in the EU • EU-funded (Horizon 2020) • September 2015 – September 2017 • 9 project partners 3
  • 4. Stakeholder engagement • Knowledge CafĂŠs • Interviews • Workshops • Surveys 4 http://www.futuretdm.eu/knowledge-cafes/
  • 5. Activities in 2017 Recently published: • FutureTDM Policy Framework • Future applications and economics of TDM • Guidelines for TDM stakeholders and practitioners Coming soon: • Case studies: Best practices to support TDM • Roadmap for increasing uptake of TDM 5
  • 7. FutureTDM Stakeholder Guidelines 7 • Aimed at giving concrete, practical advice • Legal guidelines • Is my TDM project lawful? Do I need expert advice? • Licensee guidelines • What makes a TDM licence reasonable and proportionate to user needs? • Data management guidelines • What do machine ‘readers’ need for TDM? • Guidelines for university policy • How can universities support TDM strategically?
  • 9. Legal uncertainty around TDM 9 • What laws apply, and to which TDM activities? • Copyright, database rights, data protection… • Reading, processing, copying, publishing excerpts… • Who benefits from legal exceptions? • What is “non-commercial”? • What is a “research organisation”?
  • 10. FutureTDM Legal Guidelines 10 • Breakdown of when legal considerations are relevant • Intellectual property: Do I need a licence? • Data protection: What do I need to consider? • When to seek expert legal advice
  • 12. Licensing content for TDM 12 • TDM requires large datasets • Potentially from hundreds or thousands of sources • Uncertainty around who may benefit from exceptions to copyright • Many existing licences are unclear or silent on TDM activities
  • 13. Licensing considerations for TDM: Reasonable and Proportionate? 13 • Does it make practical sense to distinguish between ‘commercial’ and ‘non-commercial’ research? • Does intrusive usage and activity monitoring affect researchers’ academic freedoms? • Can researchers reproduce reasonable, illustrative excerpts of content with their analysis? • Is it practical for researchers to attribute credit to every piece of content used in analysis? • Do technical protection measures prevent researchers from carrying out TDM at reasonable scales?
  • 15. Data Management in the Context of TDM • Human and machine ‘readers’ have different needs • Open access does not necessarily mean practically accessible for TDM • Machine ‘readers’ need: • Machine-readable file format • Machine-readable metadata • Bulk access to content
  • 16. What do Machine ‘Readers’ Need? • Key (machine-readable) metadata: • Permanent identifiers • What licences or rights apply to content • Data type, format, size • Any specific tools needed to work with the data • Data provenance and rights-holder information • Data changes and versioning • Other domain-specific metadata
  • 18. The Role of Universities • Universities are involved in all aspects of the TDM value chain • Content creation • Content dissemination • Development and use of TDM tools • Sharing of new knowledge and insights • …but very few in Europe have strategic policy approaches to TDM
  • 19. Encouraging Development of Strategic TDM Policy • Demonstrate need • Involve stakeholders • Understand your institution • Consolidate information • Identify promoters and early adopters • Introduce incentives • Share your progress!
  • 20. The Role of Libraries
  • 21. How can Libraries Support TDM? • Help connect researchers with expert legal advice where needed • Consider researcher needs in the context of TDM when negotiating licences • Ensure repositories have machine-readable metadata to make TDM practically feasible • Work within universities or institutions to develop strategic approaches to supporting TDM