SlideShare uma empresa Scribd logo
1 de 12
Presentation to ASIS&T Conference
March 22, 2012

Paul F. Uhlir,
Board on Research Data and Information (BRDI), National
Research Council, National Academy of Sciences

Daniel Cohen,
Board on Research Data and Information (BRDI), National
Research Council, National Academy of Sciences (on detail from
Library of Congress)
Managing Organizations
 International CODATA Task Group on Data Citation
  Standards and Practices
  http://www.codata.org/taskgroups/TGdatacitation/index.html
  Approved at CODATA 27th General Assembly in Cape Town, SA
  2010
 BRDI
   http://www.nas.edu/brdi
  Ad hoc committee of the Board on Research Data and
  Information, at the U.S. National Academy of Sciences, in
  Washington, DC. BRDI represents the U.S. National Committee
  for CODATA.
 BRDI staff supports both projects.
FUNDING
We are grateful to the following funders of this project:

 Sloan Foundation
 Institute for Museum and Library Services
 Library of Congress
 CODATA
 Microsoft Research
CODATA Data Citation Task Group
                         Co-Chairs:
Jan Brase,(Director, DataCite, and ICSTI representative),       John Helly, Scripps Institute for Oceanography and San
    Technische Informations Bibliothek (TIB)/German             Diego Supercomputing Center, University of California, USA
    National Library of Science and Technology, GERMANY         Jianhui LI, Chinese Academy of Sciences, CHINA
Sarah Callaghan (U.K. CODATA), The NCAS British                 Brian McMahon, International Union of Crystallography,
    Atmospheric Data Centre, STFC Rutherford Appleton           UNITED KINGDOM
    Laboratory, UNITED KINGDOM                                  Karen Morgenroth, National Research Council Canada,
                                                                CANADA
Bonnie Carroll (U.S. CODATA and CENDI), President,
   Information International Associates, USA                    Yasuhiro Murayama, National Institute of Information and
                                                                Communications Technology, JAPAN
                         Members:                               Soren Roug, European Environmental Agency,
Micah Altman, Massachusetts Institute of Technology, USA        BELGIUM
                                                                Helge Sagen, Institute of Marine Research, NORWAY
Elizabeth Arnaud, Bioversity International, ITALY
                                                                Eefke Smit, International Association of STM Publishers, THE
Christine Borgman, University of California, Los Angeles, USA   NETHERLANDS
Todd Carpenter, National Information Standards                  Martie J. van Deventer, Council on Scientific and Industrial
   Organization, USA                                            Research, SOUTH AFRICA
                                                                John Wilbanks, Kaufman Foundation, USA
Dora Ann Lange Canhos, Environmental Reference
                                                                Koji Zettsu, National Institute of Information and
    Information Center, BRAZIL                                  Communications Technology, JAPAN
Vishwas Chavan, Global Biodiversity Information Facility,                                Consultants:
    DENMARK
                                                                Daniel Cohen, Library of Congress ,USA
Nathan Cunningham, British Antarctic Survey, UNITED
                                                                Franciel Linares, Information International Associates, USA
    KINGDOM
                                                                Yvonne Socha, MLIS candidate, University of Tennessee,
Michael Diepenbroek, World Data Center-MARE / PANGAEA,          USA
   University Bremen, GERMANY
                                                                Paul F. Uhlir, U.S. National Committee for CODATA and
                                                                Board on Research Data and Information, National Academy
                                                                of Sciences, USA
Data Citation Task Group
                   Objectives and Deliverables
 Conduct inventory and analysis of           Establish a public web presence.
    existing literature and existing data     Conduct meetings and workshops to
    citation and attribution initiatives.      articulate the state of the art and best
   Investigate and analyze how existing       practices in this area, and to identify
    data repositories cite and provide         emerging issues.
    attribution to their data sets.           Work with the major international,
   Identify and obtain input from             regional, and national standards
    stakeholders in the library, academic,     organizations to develop formal data
    publishing and research communities.       citation and attribution standards and
   Provide an international forum to          best practices.
    identify and help reconcile the needs     Promote scientific data attribution by
    of various stakeholder communities.        developing models, tools, and
   Share information and create greater       practical guidance on how to publish
    awareness of these issues                  citable and trackable data sets.
    internationally.
Symposium and Workshop, Berkeley, CA August 2011
For Attribution: Developing Data Attribution and Citation
Practices and Standards
                                     STATEMENT OF TASK
2.    What is the status of data attribution and citation practices in the natural and
     social (economic and political) sciences in United States and internationally?
3.   Why is the attribution and citation of scientific data important and for what types
     of data? Is there substantial variation among disciplines?
4.   What are the major scientific, technical, institutional, financial, legal, and socio-
     cultural issues that need to be considered in developing and implementing
     scientific data citation standards and practices? Which ones are universal for all
     types of research and which ones are field or context specific?
5.   What are some of the options for the successful development and implementation
     of scientific data citation practices and standards, both across the natural and
     social sciences and in major contexts of research?


For more information on the symposium and workshop see:
http://sites.nationalacademies.org/PGA/brdi/PGA_063656
Symposium and Workshop Sessions
I.   Why are attribution and citation of data important?
II.  Major technical issues in developing and implementing scientific data
     citation standards and practices
III. Major scientific issues in developing and implementing scientific data
     citation standards and practices
IV. Major institutional, financial, legal, and socio-cultural issues in
     developing and implementing scientific data citation standards and
     practices
V. Status of data attribution and citation practices in the natural and social
     sciences in the U.S. and internationally
VI. Institutional roles and perspectives: similarities and differences across
     disciplines and countries
VII. Workshop – Options: Where do we go from here?
Symposium and Workshop
                                   Presenters and Moderators
Christine Borgman, University of California at Los Angeles   Lee Dirks, Microsoft Research
John Wilbanks, Creative Commons                              Roy Lowry, British Oceanographic Data Centre
Jean-Bernard Minster, University of California at San        Vishwas Chavan, GBIF
Diego, Scripps Institution of Oceanography
                                                             Mark Parsons, National Snow and Ice Data Center
Johan Bollen, Indiana University
                                                             John Helly, Scripps Institution of Oceanography
Herbert van de Sompel, Los Alamos National Laboratory
                                                             Monica Duke, University of Bath, UKOLN
Paul Groth, VU University Amsterdam, Netherlands
                                                             Deborah Crawford, Drexel University
Philip Bourne, University of California at San Diego
                                                             Bruce Wilson, Oak Ridge National Laboratory
Sarah Callaghan, Rutherford Appleton Laboratory, UK
                                                             Michael Witt, Purdue/IASSIST
Mary Vardigan, University of Michigan, Inter-university
                                                             Anita de Waard, Elsevier Labs
Consortium for Political and Social Research
                                                             Michael Kurtz, Harvard-Smithsonian Center for
Michael Sperberg-McQueen, Black Mesa Technologies
                                                             Astrophysics
Sarah Hinchliff Pearson, Creative Commons
                                                             Todd Carpenter, National Information Standards
MacKenzie Smith, MIT                                         Organization
Diane Harley, University of California at Berkeley           Sylvia Spengler, National Science Foundation
Jan Brase, National Library of Science and Technology,       Allen Renear, University of Illinois at Urbana-Champaign
Germany
                                                             Bonnie Carroll, Information International Associates
Micah Altman, Harvard University
                                                             David Kochalko, Thomson Reuters
                                                             Paul Uhlir, National Research Council
Other Organizations Working on Data Citation
 International Council for Scientific and Technical Information (ICSTI)
 DataCite
 The Dataverse Network
 National Information Standards Organization (NISO)
 Creative Commons and Science Commons
 CENDI – U.S. interagency group focused on scientific and technical
    information issues and coordination of activities.
    Global Biodiversity Information Facility (GBIF)
    World Data System (WDS)
    STM-Association
   Digital Curation Center, UK
Schedule of Activities
    Completed and Ongoing                                 Planned
 Symposium and workshop held in            Publish Report from August
  Berkeley, CA in August 2011.                 Symposium and Workshop (May
 Bibliographic inventory and analysis         2012).
  (ongoing).                                  Task Group meetings and White Paper
 Interviews with a sample of identified       dafting sessions (Copenhagen, DK,
  stakeholders concerning data citation        06/12, and Taipei, TW, 10/12.)
  and attribution practices                   Sponsored Session at CODATA
     Data Repositories                        International Conference in Taipei,
     Publishers                               TW October/November 2012
     Researchers
                                              Publication of White Paper in 12/12.
     Funding Organizations
                                              Active dissemination of first phase
 White Paper on Current Practices in
                                               results in 2012-2013.
  Data Citation—outline developed.
                                              Best Practices White Paper in 2013.
White Paper Draft Outline (Major Headings)
1. Importance of data citation
2. Current use of data citations
3. Emerging formal standardization proposals and best
     practices development
4.   Emerging principles for data citation
5.   Tools and infrastructure
6.   Cultural challenges and opportunities
7.   Open research questions
8.   Appendices
For Electronic Copy of Questionnaire Contact:
puhlir@nas.edu or dcohen@nas.edu

Mais conteúdo relacionado

Semelhante a Data Citation Standards and Practices - Paul Uhlir - RDAP12

Creation, Transformation, Dissemination and Preservation: Advocating for Scho...
Creation, Transformation, Dissemination and Preservation: Advocating for Scho...Creation, Transformation, Dissemination and Preservation: Advocating for Scho...
Creation, Transformation, Dissemination and Preservation: Advocating for Scho...
NASIG
 
Engaging the public in scientific research for conservation
Engaging the public in scientific research for conservationEngaging the public in scientific research for conservation
Engaging the public in scientific research for conservation
CitizenScience.org
 

Semelhante a Data Citation Standards and Practices - Paul Uhlir - RDAP12 (20)

2005 book context_natureimpactandrole
2005 book context_natureimpactandrole2005 book context_natureimpactandrole
2005 book context_natureimpactandrole
 
Developing data services: a tale from two Oregon universities
Developing data services: a tale from two Oregon universitiesDeveloping data services: a tale from two Oregon universities
Developing data services: a tale from two Oregon universities
 
5-14-13 An Introduction to VIVO Presentation Slides
5-14-13 An Introduction to VIVO Presentation Slides5-14-13 An Introduction to VIVO Presentation Slides
5-14-13 An Introduction to VIVO Presentation Slides
 
Open Access Week - Oxford, 20-24 Oct 2014
Open Access Week - Oxford, 20-24 Oct 2014Open Access Week - Oxford, 20-24 Oct 2014
Open Access Week - Oxford, 20-24 Oct 2014
 
VIVO: enabling the discovery of research and scholarship
VIVO: enabling the discovery of research and scholarshipVIVO: enabling the discovery of research and scholarship
VIVO: enabling the discovery of research and scholarship
 
Univ of Miami CTSI: Citizen science seminar; Oct 2014
Univ of Miami CTSI: Citizen science seminar; Oct 2014Univ of Miami CTSI: Citizen science seminar; Oct 2014
Univ of Miami CTSI: Citizen science seminar; Oct 2014
 
Charleston Conference: VIVO, libraries, and users.
Charleston Conference: VIVO, libraries, and users.Charleston Conference: VIVO, libraries, and users.
Charleston Conference: VIVO, libraries, and users.
 
2013 DataCite Summer Meeting - Out of Cite, Out of Mind: Report of the CODATA...
2013 DataCite Summer Meeting - Out of Cite, Out of Mind: Report of the CODATA...2013 DataCite Summer Meeting - Out of Cite, Out of Mind: Report of the CODATA...
2013 DataCite Summer Meeting - Out of Cite, Out of Mind: Report of the CODATA...
 
Rda nitrd 2015 berman - final
Rda nitrd 2015 berman  - finalRda nitrd 2015 berman  - final
Rda nitrd 2015 berman - final
 
RDAP 15 EarthCollab: Connecting Scientific Information Sources using the Sema...
RDAP 15 EarthCollab: Connecting Scientific Information Sources using the Sema...RDAP 15 EarthCollab: Connecting Scientific Information Sources using the Sema...
RDAP 15 EarthCollab: Connecting Scientific Information Sources using the Sema...
 
Fctl5 3-12 bt-studyabroadv-ws
Fctl5 3-12 bt-studyabroadv-wsFctl5 3-12 bt-studyabroadv-ws
Fctl5 3-12 bt-studyabroadv-ws
 
Looking for Data: Finding New Science
Looking for Data: Finding New ScienceLooking for Data: Finding New Science
Looking for Data: Finding New Science
 
Open Data in a Big Data World: easy to say, but hard to do?
Open Data in a Big Data World: easy to say, but hard to do?Open Data in a Big Data World: easy to say, but hard to do?
Open Data in a Big Data World: easy to say, but hard to do?
 
Creation, Transformation, Dissemination and Preservation: Advocating for Scho...
Creation, Transformation, Dissemination and Preservation: Advocating for Scho...Creation, Transformation, Dissemination and Preservation: Advocating for Scho...
Creation, Transformation, Dissemination and Preservation: Advocating for Scho...
 
Engaging the public in scientific research for conservation
Engaging the public in scientific research for conservationEngaging the public in scientific research for conservation
Engaging the public in scientific research for conservation
 
Christine borgman keynote
Christine borgman keynoteChristine borgman keynote
Christine borgman keynote
 
Stories of “Glocality"—Nations in a Global Infrastructure
Stories of “Glocality"—Nations in a Global InfrastructureStories of “Glocality"—Nations in a Global Infrastructure
Stories of “Glocality"—Nations in a Global Infrastructure
 
Carpenter "Reducing the Risk of Propagating Retracted Research"
Carpenter "Reducing the Risk of Propagating Retracted Research"Carpenter "Reducing the Risk of Propagating Retracted Research"
Carpenter "Reducing the Risk of Propagating Retracted Research"
 
Open Data in a Global Ecosystem
Open Data in a Global EcosystemOpen Data in a Global Ecosystem
Open Data in a Global Ecosystem
 
2021-01-27--biodiversity-informatics-gbif-(52slides)
2021-01-27--biodiversity-informatics-gbif-(52slides)2021-01-27--biodiversity-informatics-gbif-(52slides)
2021-01-27--biodiversity-informatics-gbif-(52slides)
 

Mais de ASIS&T

Mais de ASIS&T (20)

RDAP 16: Sustaining Research Data Services (Panel 2: Sustainability)
RDAP 16: Sustaining Research Data Services (Panel 2: Sustainability)RDAP 16: Sustaining Research Data Services (Panel 2: Sustainability)
RDAP 16: Sustaining Research Data Services (Panel 2: Sustainability)
 
RDAP 16: Sustainability of data infrastructure: The history of science scienc...
RDAP 16: Sustainability of data infrastructure: The history of science scienc...RDAP 16: Sustainability of data infrastructure: The history of science scienc...
RDAP 16: Sustainability of data infrastructure: The history of science scienc...
 
RDAP 16: DMPs and Public Access: Agency and Data Service Experiences
RDAP 16: DMPs and Public Access: Agency and Data Service ExperiencesRDAP 16: DMPs and Public Access: Agency and Data Service Experiences
RDAP 16: DMPs and Public Access: Agency and Data Service Experiences
 
RDAP 16: Perspective on DMPs, Funders and Public Access (Panel 5: DMPs and Pu...
RDAP 16: Perspective on DMPs, Funders and Public Access (Panel 5: DMPs and Pu...RDAP 16: Perspective on DMPs, Funders and Public Access (Panel 5: DMPs and Pu...
RDAP 16: Perspective on DMPs, Funders and Public Access (Panel 5: DMPs and Pu...
 
RDAP 16: DMPs and Public Access: An NIH Perspective (Panel 5, DMPs and Public...
RDAP 16: DMPs and Public Access: An NIH Perspective (Panel 5, DMPs and Public...RDAP 16: DMPs and Public Access: An NIH Perspective (Panel 5, DMPs and Public...
RDAP 16: DMPs and Public Access: An NIH Perspective (Panel 5, DMPs and Public...
 
RDAP 16: If I could turn back time: Looking back on 2+ years of DMP consultin...
RDAP 16: If I could turn back time: Looking back on 2+ years of DMP consultin...RDAP 16: If I could turn back time: Looking back on 2+ years of DMP consultin...
RDAP 16: If I could turn back time: Looking back on 2+ years of DMP consultin...
 
RDAP 16: Data Management Plan Perspectives (Panel 5, DMPs and Public Access)
RDAP 16: Data Management Plan Perspectives (Panel 5, DMPs and Public Access)RDAP 16: Data Management Plan Perspectives (Panel 5, DMPs and Public Access)
RDAP 16: Data Management Plan Perspectives (Panel 5, DMPs and Public Access)
 
RDAP 16 Poster: Challenges and Opportunities in an Institutional Repository S...
RDAP 16 Poster: Challenges and Opportunities in an Institutional Repository S...RDAP 16 Poster: Challenges and Opportunities in an Institutional Repository S...
RDAP 16 Poster: Challenges and Opportunities in an Institutional Repository S...
 
RDAP 16 Poster: Interpreting Local Data Policies in Practice
RDAP 16 Poster: Interpreting Local Data Policies in PracticeRDAP 16 Poster: Interpreting Local Data Policies in Practice
RDAP 16 Poster: Interpreting Local Data Policies in Practice
 
RDAP 16 Poster: Measuring adoption of Electronic Lab Notebooks and their impa...
RDAP 16 Poster: Measuring adoption of Electronic Lab Notebooks and their impa...RDAP 16 Poster: Measuring adoption of Electronic Lab Notebooks and their impa...
RDAP 16 Poster: Measuring adoption of Electronic Lab Notebooks and their impa...
 
RDAP 16 Poster: Responding to Data Management and Sharing Requirements in the...
RDAP 16 Poster: Responding to Data Management and Sharing Requirements in the...RDAP 16 Poster: Responding to Data Management and Sharing Requirements in the...
RDAP 16 Poster: Responding to Data Management and Sharing Requirements in the...
 
RDAP 16 Lightning: Spreading the love: Bringing data management training to s...
RDAP 16 Lightning: Spreading the love: Bringing data management training to s...RDAP 16 Lightning: Spreading the love: Bringing data management training to s...
RDAP 16 Lightning: Spreading the love: Bringing data management training to s...
 
RDAP 16 Lightning: RDM Discussion Group: How'd that go?
RDAP 16 Lightning: RDM Discussion Group: How'd that go?RDAP 16 Lightning: RDM Discussion Group: How'd that go?
RDAP 16 Lightning: RDM Discussion Group: How'd that go?
 
RDAP 16 Lightning: Data Practices and Perspectives of Atmospheric and Enginee...
RDAP 16 Lightning: Data Practices and Perspectives of Atmospheric and Enginee...RDAP 16 Lightning: Data Practices and Perspectives of Atmospheric and Enginee...
RDAP 16 Lightning: Data Practices and Perspectives of Atmospheric and Enginee...
 
RDAP 16 Lightning: Working Across Cultures: Data Librarian as Knowledge Broker
RDAP 16 Lightning: Working Across Cultures: Data Librarian as Knowledge BrokerRDAP 16 Lightning: Working Across Cultures: Data Librarian as Knowledge Broker
RDAP 16 Lightning: Working Across Cultures: Data Librarian as Knowledge Broker
 
RDAP 16 Lightning: An Open Science Framework for Solving Institutional Challe...
RDAP 16 Lightning: An Open Science Framework for Solving Institutional Challe...RDAP 16 Lightning: An Open Science Framework for Solving Institutional Challe...
RDAP 16 Lightning: An Open Science Framework for Solving Institutional Challe...
 
RDAP 16 Lightning: Quantifying Needs for a University Research Repository Sys...
RDAP 16 Lightning: Quantifying Needs for a University Research Repository Sys...RDAP 16 Lightning: Quantifying Needs for a University Research Repository Sys...
RDAP 16 Lightning: Quantifying Needs for a University Research Repository Sys...
 
RDAP 16 Lightning: Personas as a Policy Development Tool for Research Data
RDAP 16 Lightning: Personas as a Policy Development Tool for Research DataRDAP 16 Lightning: Personas as a Policy Development Tool for Research Data
RDAP 16 Lightning: Personas as a Policy Development Tool for Research Data
 
RDAP 16 Lightning: Growing Data in Utah: A Model for Statewide Collaboration
RDAP 16 Lightning: Growing Data in Utah: A Model for Statewide CollaborationRDAP 16 Lightning: Growing Data in Utah: A Model for Statewide Collaboration
RDAP 16 Lightning: Growing Data in Utah: A Model for Statewide Collaboration
 
RDAP 16: Building Without a Plan: How do you assess structural strength? (Pan...
RDAP 16: Building Without a Plan: How do you assess structural strength? (Pan...RDAP 16: Building Without a Plan: How do you assess structural strength? (Pan...
RDAP 16: Building Without a Plan: How do you assess structural strength? (Pan...
 

Último

Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
 

Último (20)

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...
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
[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
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
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
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
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
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
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?
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - 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
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation Strategies
 

Data Citation Standards and Practices - Paul Uhlir - RDAP12

  • 1. Presentation to ASIS&T Conference March 22, 2012 Paul F. Uhlir, Board on Research Data and Information (BRDI), National Research Council, National Academy of Sciences Daniel Cohen, Board on Research Data and Information (BRDI), National Research Council, National Academy of Sciences (on detail from Library of Congress)
  • 2. Managing Organizations  International CODATA Task Group on Data Citation Standards and Practices http://www.codata.org/taskgroups/TGdatacitation/index.html Approved at CODATA 27th General Assembly in Cape Town, SA 2010  BRDI http://www.nas.edu/brdi Ad hoc committee of the Board on Research Data and Information, at the U.S. National Academy of Sciences, in Washington, DC. BRDI represents the U.S. National Committee for CODATA.  BRDI staff supports both projects.
  • 3. FUNDING We are grateful to the following funders of this project:  Sloan Foundation  Institute for Museum and Library Services  Library of Congress  CODATA  Microsoft Research
  • 4. CODATA Data Citation Task Group Co-Chairs: Jan Brase,(Director, DataCite, and ICSTI representative), John Helly, Scripps Institute for Oceanography and San Technische Informations Bibliothek (TIB)/German Diego Supercomputing Center, University of California, USA National Library of Science and Technology, GERMANY Jianhui LI, Chinese Academy of Sciences, CHINA Sarah Callaghan (U.K. CODATA), The NCAS British Brian McMahon, International Union of Crystallography, Atmospheric Data Centre, STFC Rutherford Appleton UNITED KINGDOM Laboratory, UNITED KINGDOM Karen Morgenroth, National Research Council Canada, CANADA Bonnie Carroll (U.S. CODATA and CENDI), President, Information International Associates, USA Yasuhiro Murayama, National Institute of Information and Communications Technology, JAPAN Members: Soren Roug, European Environmental Agency, Micah Altman, Massachusetts Institute of Technology, USA BELGIUM Helge Sagen, Institute of Marine Research, NORWAY Elizabeth Arnaud, Bioversity International, ITALY Eefke Smit, International Association of STM Publishers, THE Christine Borgman, University of California, Los Angeles, USA NETHERLANDS Todd Carpenter, National Information Standards Martie J. van Deventer, Council on Scientific and Industrial Organization, USA Research, SOUTH AFRICA John Wilbanks, Kaufman Foundation, USA Dora Ann Lange Canhos, Environmental Reference Koji Zettsu, National Institute of Information and Information Center, BRAZIL Communications Technology, JAPAN Vishwas Chavan, Global Biodiversity Information Facility, Consultants: DENMARK Daniel Cohen, Library of Congress ,USA Nathan Cunningham, British Antarctic Survey, UNITED Franciel Linares, Information International Associates, USA KINGDOM Yvonne Socha, MLIS candidate, University of Tennessee, Michael Diepenbroek, World Data Center-MARE / PANGAEA, USA University Bremen, GERMANY Paul F. Uhlir, U.S. National Committee for CODATA and Board on Research Data and Information, National Academy of Sciences, USA
  • 5. Data Citation Task Group Objectives and Deliverables  Conduct inventory and analysis of  Establish a public web presence. existing literature and existing data  Conduct meetings and workshops to citation and attribution initiatives. articulate the state of the art and best  Investigate and analyze how existing practices in this area, and to identify data repositories cite and provide emerging issues. attribution to their data sets.  Work with the major international,  Identify and obtain input from regional, and national standards stakeholders in the library, academic, organizations to develop formal data publishing and research communities. citation and attribution standards and  Provide an international forum to best practices. identify and help reconcile the needs  Promote scientific data attribution by of various stakeholder communities. developing models, tools, and  Share information and create greater practical guidance on how to publish awareness of these issues citable and trackable data sets. internationally.
  • 6. Symposium and Workshop, Berkeley, CA August 2011 For Attribution: Developing Data Attribution and Citation Practices and Standards STATEMENT OF TASK 2. What is the status of data attribution and citation practices in the natural and social (economic and political) sciences in United States and internationally? 3. Why is the attribution and citation of scientific data important and for what types of data? Is there substantial variation among disciplines? 4. What are the major scientific, technical, institutional, financial, legal, and socio- cultural issues that need to be considered in developing and implementing scientific data citation standards and practices? Which ones are universal for all types of research and which ones are field or context specific? 5. What are some of the options for the successful development and implementation of scientific data citation practices and standards, both across the natural and social sciences and in major contexts of research? For more information on the symposium and workshop see: http://sites.nationalacademies.org/PGA/brdi/PGA_063656
  • 7. Symposium and Workshop Sessions I. Why are attribution and citation of data important? II. Major technical issues in developing and implementing scientific data citation standards and practices III. Major scientific issues in developing and implementing scientific data citation standards and practices IV. Major institutional, financial, legal, and socio-cultural issues in developing and implementing scientific data citation standards and practices V. Status of data attribution and citation practices in the natural and social sciences in the U.S. and internationally VI. Institutional roles and perspectives: similarities and differences across disciplines and countries VII. Workshop – Options: Where do we go from here?
  • 8. Symposium and Workshop Presenters and Moderators Christine Borgman, University of California at Los Angeles Lee Dirks, Microsoft Research John Wilbanks, Creative Commons Roy Lowry, British Oceanographic Data Centre Jean-Bernard Minster, University of California at San Vishwas Chavan, GBIF Diego, Scripps Institution of Oceanography Mark Parsons, National Snow and Ice Data Center Johan Bollen, Indiana University John Helly, Scripps Institution of Oceanography Herbert van de Sompel, Los Alamos National Laboratory Monica Duke, University of Bath, UKOLN Paul Groth, VU University Amsterdam, Netherlands Deborah Crawford, Drexel University Philip Bourne, University of California at San Diego Bruce Wilson, Oak Ridge National Laboratory Sarah Callaghan, Rutherford Appleton Laboratory, UK Michael Witt, Purdue/IASSIST Mary Vardigan, University of Michigan, Inter-university Anita de Waard, Elsevier Labs Consortium for Political and Social Research Michael Kurtz, Harvard-Smithsonian Center for Michael Sperberg-McQueen, Black Mesa Technologies Astrophysics Sarah Hinchliff Pearson, Creative Commons Todd Carpenter, National Information Standards MacKenzie Smith, MIT Organization Diane Harley, University of California at Berkeley Sylvia Spengler, National Science Foundation Jan Brase, National Library of Science and Technology, Allen Renear, University of Illinois at Urbana-Champaign Germany Bonnie Carroll, Information International Associates Micah Altman, Harvard University David Kochalko, Thomson Reuters Paul Uhlir, National Research Council
  • 9. Other Organizations Working on Data Citation  International Council for Scientific and Technical Information (ICSTI)  DataCite  The Dataverse Network  National Information Standards Organization (NISO)  Creative Commons and Science Commons  CENDI – U.S. interagency group focused on scientific and technical information issues and coordination of activities.  Global Biodiversity Information Facility (GBIF)  World Data System (WDS)  STM-Association  Digital Curation Center, UK
  • 10. Schedule of Activities Completed and Ongoing Planned  Symposium and workshop held in  Publish Report from August Berkeley, CA in August 2011. Symposium and Workshop (May  Bibliographic inventory and analysis 2012). (ongoing).  Task Group meetings and White Paper  Interviews with a sample of identified dafting sessions (Copenhagen, DK, stakeholders concerning data citation 06/12, and Taipei, TW, 10/12.) and attribution practices  Sponsored Session at CODATA  Data Repositories International Conference in Taipei,  Publishers TW October/November 2012  Researchers  Publication of White Paper in 12/12.  Funding Organizations  Active dissemination of first phase  White Paper on Current Practices in results in 2012-2013. Data Citation—outline developed.  Best Practices White Paper in 2013.
  • 11. White Paper Draft Outline (Major Headings) 1. Importance of data citation 2. Current use of data citations 3. Emerging formal standardization proposals and best practices development 4. Emerging principles for data citation 5. Tools and infrastructure 6. Cultural challenges and opportunities 7. Open research questions 8. Appendices
  • 12. For Electronic Copy of Questionnaire Contact: puhlir@nas.edu or dcohen@nas.edu