SlideShare une entreprise Scribd logo
1  sur  15
Legal aspects of text and data mining
Lucie Guibault
British Library, 27 September 2013
Institute for Information Law
Text and Data Mining – 2013 2
Overview
 Copyright
 Protectable subject matter
 Scope of protection
 Sui generis Database right
 Protectable subject matter
 Scope of protection
 IPRs and TDM - Current debates
Text and Data Mining – 2013 3
Problem?
TDM involves access to and usage of
articles and data in bulk which may
infringe IP rights
Text and Data Mining – 2013 4
Copyright
 Subject matter of protection
 Compilations protected if selection and
arrangement of content is original – ‘author’s
own intellectual creation’
 Individual works protected if original
 Articles, music, video’s etc.
 No protection for facts, ideas etc.
Text and Data Mining – 2013 5
Copyright
 Economic rights
 Right of reproduction
 Any temporary or permanent reproduction by any
means and in any form
 Right of communication to the public
 Broadcasting, making available
 Moral rights
 Paternity & Integrity
Text and Data Mining – 2013 6
Copyright
 Duration of protection: 70 years p.m. auctoris
 Compilation vs. content
 Exceptions and Limitations
 Incidental and transient reproductions
 Quotations
 Educational and research use
Text and Data Mining – 2013 7
Sui generis Database right
 Subject matter of protection
‘database which shows that there has been
qualitatively and/or quantitatively a substantial
investment in either the obtaining, verification or
presentation of the contents to prevent extraction
and/or re-utilization of the whole or of a substantial
part, evaluated qualitatively and/or quantitatively, of
the contents of that database’.
Text and Data Mining – 2013 8
Sui generis Database right
 Right of extraction
The permanent or temporary transfer of all or a substantial
part of the contents of a database to another medium by any
means or in any form
 Right of re-utilization
Any form of making available to the public all or a substantial
part of the contents of a database by the distribution of
copies, by renting, by on-line or other forms of transmission.
 Repeated and systematic extraction and/or re-
utilization of insubstantial parts of the contents
Text and Data Mining – 2013 9
Sui generis Database right
 No incidental and transient copying exception
 No quotation exception
 But an educational use exception
 (b) in the case of extraction for the purposes of illustration
for teaching or scientific research, as long as the source is
indicated and to the extent justified by the non-commercial
purpose to be achieved;
Text and Data Mining – 2013 10
Impact of IPRs on Text and Data Mining
 Rights most probably subsist in database and/or
content
 Exceptions and limitations hardly applicable
 Scientific Publishers claim copyright and database
protection on the content of their database
 Result:
 TDM not allowed without prior authorization from
rights holder!!!
Text and Data Mining – 2013 11
QUESTION?
Should TDM be subject to the
authorization of the rights holder?
Text and Data Mining – 2013 12
A possible exception?
 From a normative perspective: not all technically
possible reproductions should be considered
copyright relevant acts
 TDM for non-commercial research purposes does
not encroach upon the normal exploitation of the
work
 TDM for non-commercial research purposes does
not unreasonably prejudice the legitimate interests
of the rights holders
Text and Data Mining – 2013 13
Building in safeguards
 An exception would not prevent a publisher from:
 applying technological measures on their
networks in order to maintain security or stability
 offering additional services
 An exception would not allow redistribution of the
primary works, or substantial parts of those, which
would remain restricted by copyright
14Text and Data Mining – 2013
Thank you very much!
For more information
Lucie Guibault
L.Guibault@uva.nl
Text and Data Mining – 2013 15

Contenu connexe

Similaire à The legal perspective- Lucie Guibault, University of Amsterdam

Similaire à The legal perspective- Lucie Guibault, University of Amsterdam (20)

Open access and Big Data
Open access and Big DataOpen access and Big Data
Open access and Big Data
 
‘Just how (re)usable is Research Data? A legal perspective’ - A poster summar...
‘Just how (re)usable is Research Data? A legal perspective’ - A poster summar...‘Just how (re)usable is Research Data? A legal perspective’ - A poster summar...
‘Just how (re)usable is Research Data? A legal perspective’ - A poster summar...
 
Copyright and text and data mining
Copyright and text and data miningCopyright and text and data mining
Copyright and text and data mining
 
Science europe guibault27202015
Science europe guibault27202015Science europe guibault27202015
Science europe guibault27202015
 
Research Data Mantra (Management Training) Online Course Launch
Research Data Mantra (Management Training) Online Course LaunchResearch Data Mantra (Management Training) Online Course Launch
Research Data Mantra (Management Training) Online Course Launch
 
Licensing Linked Data
Licensing Linked DataLicensing Linked Data
Licensing Linked Data
 
Sustainable Legal Framework for Open Access to Research Data
Sustainable Legal Framework for Open Access to Research DataSustainable Legal Framework for Open Access to Research Data
Sustainable Legal Framework for Open Access to Research Data
 
Copyright s relationship with open access - legislative framework that contex...
Copyright s relationship with open access - legislative framework that contex...Copyright s relationship with open access - legislative framework that contex...
Copyright s relationship with open access - legislative framework that contex...
 
Publishing your research: Research Data Management (Introduction)
Publishing your research: Research Data Management (Introduction) Publishing your research: Research Data Management (Introduction)
Publishing your research: Research Data Management (Introduction)
 
Providing support and services for researchers in good data governance
Providing support and services for researchers in good data governanceProviding support and services for researchers in good data governance
Providing support and services for researchers in good data governance
 
Mantra for Change - IASSIST 2011
Mantra for Change - IASSIST 2011Mantra for Change - IASSIST 2011
Mantra for Change - IASSIST 2011
 
Zanele Mathe on Open access and Open data at CPUT
Zanele Mathe on Open access and Open data at CPUTZanele Mathe on Open access and Open data at CPUT
Zanele Mathe on Open access and Open data at CPUT
 
Research Data MANTRA Project at Edinburgh
Research Data MANTRA Project at EdinburghResearch Data MANTRA Project at Edinburgh
Research Data MANTRA Project at Edinburgh
 
20160523 23 Research Data Things
20160523 23 Research Data Things20160523 23 Research Data Things
20160523 23 Research Data Things
 
Data Sharing Principles and Legal Interoperability for Essential Biodiversity...
Data Sharing Principles and Legal Interoperability for Essential Biodiversity...Data Sharing Principles and Legal Interoperability for Essential Biodiversity...
Data Sharing Principles and Legal Interoperability for Essential Biodiversity...
 
Andrea Martin
Andrea MartinAndrea Martin
Andrea Martin
 
RDM for Librarians
RDM for LibrariansRDM for Librarians
RDM for Librarians
 
CC and Government in Australia: Melbourne, 24 October 2013
CC and Government in Australia: Melbourne, 24 October 2013CC and Government in Australia: Melbourne, 24 October 2013
CC and Government in Australia: Melbourne, 24 October 2013
 
RDMRose 3.2 Advocacy
RDMRose 3.2 AdvocacyRDMRose 3.2 Advocacy
RDMRose 3.2 Advocacy
 
4th OpenAIRE Workshop, Lucie Guibault
4th OpenAIRE Workshop, Lucie Guibault4th OpenAIRE Workshop, Lucie Guibault
4th OpenAIRE Workshop, Lucie Guibault
 

Plus de LIBER Europe

Plus de LIBER Europe (20)

LIBER Europe Covid-19 Research Libraries Survey - December 2020
LIBER Europe Covid-19 Research Libraries Survey - December 2020LIBER Europe Covid-19 Research Libraries Survey - December 2020
LIBER Europe Covid-19 Research Libraries Survey - December 2020
 
LIBER Webinar: Turning FAIR Data Into Reality
LIBER Webinar: Turning FAIR Data Into RealityLIBER Webinar: Turning FAIR Data Into Reality
LIBER Webinar: Turning FAIR Data Into Reality
 
Copyright Reform: EU Legislative Process & LIBER Advocacy
Copyright Reform: EU Legislative Process & LIBER AdvocacyCopyright Reform: EU Legislative Process & LIBER Advocacy
Copyright Reform: EU Legislative Process & LIBER Advocacy
 
LIBER Webinar: Supporting Data Literacy
LIBER Webinar: Supporting Data LiteracyLIBER Webinar: Supporting Data Literacy
LIBER Webinar: Supporting Data Literacy
 
Applying Bourdieu's Field Theory to MLS Curricula Development. Charlotte Nord...
Applying Bourdieu's Field Theory to MLS Curricula Development. Charlotte Nord...Applying Bourdieu's Field Theory to MLS Curricula Development. Charlotte Nord...
Applying Bourdieu's Field Theory to MLS Curricula Development. Charlotte Nord...
 
Growing a Culture for Change at The University of Manchester Library. Penny H...
Growing a Culture for Change at The University of Manchester Library. Penny H...Growing a Culture for Change at The University of Manchester Library. Penny H...
Growing a Culture for Change at The University of Manchester Library. Penny H...
 
Knowledge Exchange Consensus: Monitoring of Open Access Publications and Cost...
Knowledge Exchange Consensus: Monitoring of Open Access Publications and Cost...Knowledge Exchange Consensus: Monitoring of Open Access Publications and Cost...
Knowledge Exchange Consensus: Monitoring of Open Access Publications and Cost...
 
The GND initiative 2017-2021: Developing a Backbone for the Web of Cultural a...
The GND initiative 2017-2021: Developing a Backbone for the Web of Cultural a...The GND initiative 2017-2021: Developing a Backbone for the Web of Cultural a...
The GND initiative 2017-2021: Developing a Backbone for the Web of Cultural a...
 
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...
 
LibChain – Open, Verifiable and Anonymous Access Management. Juan Cabello, P...
 LibChain – Open, Verifiable and Anonymous Access Management. Juan Cabello, P... LibChain – Open, Verifiable and Anonymous Access Management. Juan Cabello, P...
LibChain – Open, Verifiable and Anonymous Access Management. Juan Cabello, P...
 
From Open Access to Open Data: Collaborative Work in the University Libraries...
From Open Access to Open Data: Collaborative Work in the University Libraries...From Open Access to Open Data: Collaborative Work in the University Libraries...
From Open Access to Open Data: Collaborative Work in the University Libraries...
 
The Perks and Challenges of Drawing Maps and Walking at the Same Time
The Perks and Challenges of Drawing Maps and Walking at the Same TimeThe Perks and Challenges of Drawing Maps and Walking at the Same Time
The Perks and Challenges of Drawing Maps and Walking at the Same Time
 
TIB AV-Portal: Semantic Content Mining with Semi-Automatic Metadata Editing. ...
TIB AV-Portal: Semantic Content Mining with Semi-Automatic Metadata Editing. ...TIB AV-Portal: Semantic Content Mining with Semi-Automatic Metadata Editing. ...
TIB AV-Portal: Semantic Content Mining with Semi-Automatic Metadata Editing. ...
 
Text and Data Mining : Making the Most of a Copyright Exception. Julien Roche...
Text and Data Mining : Making the Most of a Copyright Exception. Julien Roche...Text and Data Mining : Making the Most of a Copyright Exception. Julien Roche...
Text and Data Mining : Making the Most of a Copyright Exception. Julien Roche...
 
Adoption and Integration of Persistent Identifiers in European Research Infor...
Adoption and Integration of Persistent Identifiers in European Research Infor...Adoption and Integration of Persistent Identifiers in European Research Infor...
Adoption and Integration of Persistent Identifiers in European Research Infor...
 
Digital Humanities Clinics – Leading Dutch Librarians into DH. Lotte Wilms, N...
Digital Humanities Clinics – Leading Dutch Librarians into DH. Lotte Wilms, N...Digital Humanities Clinics – Leading Dutch Librarians into DH. Lotte Wilms, N...
Digital Humanities Clinics – Leading Dutch Librarians into DH. Lotte Wilms, N...
 
COUNTER Standards for Open Access: The Value of Measuring/The Measuring of Va...
COUNTER Standards for Open Access: The Value of Measuring/The Measuring of Va...COUNTER Standards for Open Access: The Value of Measuring/The Measuring of Va...
COUNTER Standards for Open Access: The Value of Measuring/The Measuring of Va...
 
Enabling the Exchange and use of Data in Agriculture
Enabling the Exchange and use of Data in AgricultureEnabling the Exchange and use of Data in Agriculture
Enabling the Exchange and use of Data in Agriculture
 
GDPR - Thoughts on the EU Data Protection Regulation, Research and Libraries
GDPR - Thoughts on the EU Data Protection Regulation, Research and LibrariesGDPR - Thoughts on the EU Data Protection Regulation, Research and Libraries
GDPR - Thoughts on the EU Data Protection Regulation, Research and Libraries
 
Research Data Services and Data Collections: Library Synergies for Economic R...
Research Data Services and Data Collections: Library Synergies for Economic R...Research Data Services and Data Collections: Library Synergies for Economic R...
Research Data Services and Data Collections: Library Synergies for Economic R...
 

Dernier

Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
vu2urc
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
giselly40
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
Enterprise Knowledge
 

Dernier (20)

The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 

The legal perspective- Lucie Guibault, University of Amsterdam

  • 1. Legal aspects of text and data mining Lucie Guibault British Library, 27 September 2013 Institute for Information Law
  • 2. Text and Data Mining – 2013 2
  • 3. Overview  Copyright  Protectable subject matter  Scope of protection  Sui generis Database right  Protectable subject matter  Scope of protection  IPRs and TDM - Current debates Text and Data Mining – 2013 3
  • 4. Problem? TDM involves access to and usage of articles and data in bulk which may infringe IP rights Text and Data Mining – 2013 4
  • 5. Copyright  Subject matter of protection  Compilations protected if selection and arrangement of content is original – ‘author’s own intellectual creation’  Individual works protected if original  Articles, music, video’s etc.  No protection for facts, ideas etc. Text and Data Mining – 2013 5
  • 6. Copyright  Economic rights  Right of reproduction  Any temporary or permanent reproduction by any means and in any form  Right of communication to the public  Broadcasting, making available  Moral rights  Paternity & Integrity Text and Data Mining – 2013 6
  • 7. Copyright  Duration of protection: 70 years p.m. auctoris  Compilation vs. content  Exceptions and Limitations  Incidental and transient reproductions  Quotations  Educational and research use Text and Data Mining – 2013 7
  • 8. Sui generis Database right  Subject matter of protection ‘database which shows that there has been qualitatively and/or quantitatively a substantial investment in either the obtaining, verification or presentation of the contents to prevent extraction and/or re-utilization of the whole or of a substantial part, evaluated qualitatively and/or quantitatively, of the contents of that database’. Text and Data Mining – 2013 8
  • 9. Sui generis Database right  Right of extraction The permanent or temporary transfer of all or a substantial part of the contents of a database to another medium by any means or in any form  Right of re-utilization Any form of making available to the public all or a substantial part of the contents of a database by the distribution of copies, by renting, by on-line or other forms of transmission.  Repeated and systematic extraction and/or re- utilization of insubstantial parts of the contents Text and Data Mining – 2013 9
  • 10. Sui generis Database right  No incidental and transient copying exception  No quotation exception  But an educational use exception  (b) in the case of extraction for the purposes of illustration for teaching or scientific research, as long as the source is indicated and to the extent justified by the non-commercial purpose to be achieved; Text and Data Mining – 2013 10
  • 11. Impact of IPRs on Text and Data Mining  Rights most probably subsist in database and/or content  Exceptions and limitations hardly applicable  Scientific Publishers claim copyright and database protection on the content of their database  Result:  TDM not allowed without prior authorization from rights holder!!! Text and Data Mining – 2013 11
  • 12. QUESTION? Should TDM be subject to the authorization of the rights holder? Text and Data Mining – 2013 12
  • 13. A possible exception?  From a normative perspective: not all technically possible reproductions should be considered copyright relevant acts  TDM for non-commercial research purposes does not encroach upon the normal exploitation of the work  TDM for non-commercial research purposes does not unreasonably prejudice the legitimate interests of the rights holders Text and Data Mining – 2013 13
  • 14. Building in safeguards  An exception would not prevent a publisher from:  applying technological measures on their networks in order to maintain security or stability  offering additional services  An exception would not allow redistribution of the primary works, or substantial parts of those, which would remain restricted by copyright 14Text and Data Mining – 2013
  • 15. Thank you very much! For more information Lucie Guibault L.Guibault@uva.nl Text and Data Mining – 2013 15