SlideShare uma empresa Scribd logo
1 de 12
https://www.asis.org/rdap/




           Faculty Practices and
       Perspectives on Research Data
               Management

           Jennifer Doty & Katherine G. Akers
               Emory University Libraries

4/4/2013                Doty & Akers, Faculty Practices &
                             Perspectives on RDM
https://www.asis.org/rdap/




              [front matter]
• Data Services @ Emory University Libraries
• Why an(other) assessment?
• Survey design and methods




                   Doty & Akers, Faculty Practices &
4/4/2013
                        Perspectives on RDM
Faculty Survey Respondents




                   Doty & Akers, Faculty Practices &
4/4/2013
                        Perspectives on RDM
Familiarity with DMPs




                 Doty & Akers, Faculty Practices &
4/4/2013
                      Perspectives on RDM
Data Sharing: Yes/No?




                 Doty & Akers, Faculty Practices &
4/4/2013
                      Perspectives on RDM
Data Sharing: Who?




               Doty & Akers, Faculty Practices &
4/4/2013
                    Perspectives on RDM
Data Sharing: Why Not?




                 Doty & Akers, Faculty Practices &
4/4/2013
                      Perspectives on RDM
Data Deposit: Yes/No?




                 Doty & Akers, Faculty Practices &
4/4/2013
                      Perspectives on RDM
Data Deposit: Where?




                Doty & Akers, Faculty Practices &
4/4/2013
                     Perspectives on RDM
Data Management Services?




                   Doty & Akers, Faculty Practices &
4/4/2013
                        Perspectives on RDM
https://www.asis.org/rdap/




                                [back matter]
•   Acknowledgements:
      – Vince Carter, Emory University, Office of Institutional Research, Planning, and Effectiveness
      – Research Data Management Working Group, Emory University Libraries,
        guides.main.library.emory.edu/datamgmt

•   References:
      – Parham, S. W., Bodnar, J., & Fuchs, S. (2012). Supporting tomorrow’s research: Assessing
        faculty data curation needs at Georgia Tech. C&RL News, 10–13.
      – Scaramozzino, J. M., Ramírez, M. L., & McGaughey, K. J. (2012). A Study of Faculty Data
        Curation Behaviors and Attitudes at a Teaching-Centered University. College & Research
        Libraries, 73(4), 349–365.
      – DaMaRO project, University of Oxford Research Data Management Survey 2012:
        http://blogs.oucs.ox.ac.uk/damaro/2013/01/03/university-of-oxford-research-data-
        management-survey-2012-the-results/



                                      Doty & Akers, Faculty Practices &
4/4/2013
                                           Perspectives on RDM
https://www.asis.org/rdap/




                  Contact Us
Jennifer Doty, Data Management Specialist
jennifer.doty@emory.edu

Katherine G. Akers, e-Science Librarian/CLIR
Postdoctoral Fellow
katherine.g.akers@emory.edu
                    Doty & Akers, Faculty Practices &
4/4/2013
                         Perspectives on RDM

Mais conteúdo relacionado

Mais procurados

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)ASIS&T
 
RDAP14 Poster: The DCC’s institutional engagement program: changing approache...
RDAP14 Poster: The DCC’s institutional engagement program: changing approache...RDAP14 Poster: The DCC’s institutional engagement program: changing approache...
RDAP14 Poster: The DCC’s institutional engagement program: changing approache...ASIS&T
 
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 ExperiencesASIS&T
 
RDAP14: Policy Recommendations for Institutions to Serve as Trustworthy Stewa...
RDAP14: Policy Recommendations for Institutions to Serve as Trustworthy Stewa...RDAP14: Policy Recommendations for Institutions to Serve as Trustworthy Stewa...
RDAP14: Policy Recommendations for Institutions to Serve as Trustworthy Stewa...ASIS&T
 
RDAP14: University-wide Research Data Management Policy
RDAP14: University-wide Research Data Management PolicyRDAP14: University-wide Research Data Management Policy
RDAP14: University-wide Research Data Management PolicyASIS&T
 
RDAP14: Collaboration and tension between institutions and units providing da...
RDAP14: Collaboration and tension between institutions and units providing da...RDAP14: Collaboration and tension between institutions and units providing da...
RDAP14: Collaboration and tension between institutions and units providing da...ASIS&T
 
RDAP14: DataNet Federal Consortium Update
RDAP14: DataNet Federal Consortium Update RDAP14: DataNet Federal Consortium Update
RDAP14: DataNet Federal Consortium Update ASIS&T
 
Martin Lewis and Stephen Pinfield Research Data Management - where should col...
Martin Lewis and Stephen Pinfield Research Data Management - where should col...Martin Lewis and Stephen Pinfield Research Data Management - where should col...
Martin Lewis and Stephen Pinfield Research Data Management - where should col...Jisc
 
Sarah Jones RDM from a disciplinary perspective
Sarah Jones RDM from a disciplinary perspectiveSarah Jones RDM from a disciplinary perspective
Sarah Jones RDM from a disciplinary perspectiveJisc
 
Rachel Bruce UK research and data management where are we now
Rachel Bruce UK research and data management where are we nowRachel Bruce UK research and data management where are we now
Rachel Bruce UK research and data management where are we nowJisc
 
Poster RDAP13: A Workflow for Depositing to a Research Data Repository: A Cas...
Poster RDAP13: A Workflow for Depositing to a Research Data Repository: A Cas...Poster RDAP13: A Workflow for Depositing to a Research Data Repository: A Cas...
Poster RDAP13: A Workflow for Depositing to a Research Data Repository: A Cas...ASIS&T
 
Mike Mertens Directions for RDM day one summary
Mike Mertens Directions for RDM day one summaryMike Mertens Directions for RDM day one summary
Mike Mertens Directions for RDM day one summaryJisc
 
RDM programme @ Edinburgh an institutional approach
RDM programme @ Edinburgh an institutional approachRDM programme @ Edinburgh an institutional approach
RDM programme @ Edinburgh an institutional approachJisc
 
Lorraine Beard RDM at the University of Manchester
Lorraine Beard RDM at the University of ManchesterLorraine Beard RDM at the University of Manchester
Lorraine Beard RDM at the University of ManchesterJisc
 
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...ASIS&T
 
Practical and Conceptual Considerations of Research Object Preservation
Practical and Conceptual Considerations of Research Object PreservationPractical and Conceptual Considerations of Research Object Preservation
Practical and Conceptual Considerations of Research Object PreservationSEAD
 

Mais procurados (20)

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)
 
RDAP14 Poster: The DCC’s institutional engagement program: changing approache...
RDAP14 Poster: The DCC’s institutional engagement program: changing approache...RDAP14 Poster: The DCC’s institutional engagement program: changing approache...
RDAP14 Poster: The DCC’s institutional engagement program: changing approache...
 
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
 
RDAP14: Policy Recommendations for Institutions to Serve as Trustworthy Stewa...
RDAP14: Policy Recommendations for Institutions to Serve as Trustworthy Stewa...RDAP14: Policy Recommendations for Institutions to Serve as Trustworthy Stewa...
RDAP14: Policy Recommendations for Institutions to Serve as Trustworthy Stewa...
 
RDAP14: University-wide Research Data Management Policy
RDAP14: University-wide Research Data Management PolicyRDAP14: University-wide Research Data Management Policy
RDAP14: University-wide Research Data Management Policy
 
RDAP14: Collaboration and tension between institutions and units providing da...
RDAP14: Collaboration and tension between institutions and units providing da...RDAP14: Collaboration and tension between institutions and units providing da...
RDAP14: Collaboration and tension between institutions and units providing da...
 
RDAP14: DataNet Federal Consortium Update
RDAP14: DataNet Federal Consortium Update RDAP14: DataNet Federal Consortium Update
RDAP14: DataNet Federal Consortium Update
 
Martin Lewis and Stephen Pinfield Research Data Management - where should col...
Martin Lewis and Stephen Pinfield Research Data Management - where should col...Martin Lewis and Stephen Pinfield Research Data Management - where should col...
Martin Lewis and Stephen Pinfield Research Data Management - where should col...
 
NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...
NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...
NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...
 
Sarah Jones RDM from a disciplinary perspective
Sarah Jones RDM from a disciplinary perspectiveSarah Jones RDM from a disciplinary perspective
Sarah Jones RDM from a disciplinary perspective
 
NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...
NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...
NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...
 
Rachel Bruce UK research and data management where are we now
Rachel Bruce UK research and data management where are we nowRachel Bruce UK research and data management where are we now
Rachel Bruce UK research and data management where are we now
 
Poster RDAP13: A Workflow for Depositing to a Research Data Repository: A Cas...
Poster RDAP13: A Workflow for Depositing to a Research Data Repository: A Cas...Poster RDAP13: A Workflow for Depositing to a Research Data Repository: A Cas...
Poster RDAP13: A Workflow for Depositing to a Research Data Repository: A Cas...
 
Mike Mertens Directions for RDM day one summary
Mike Mertens Directions for RDM day one summaryMike Mertens Directions for RDM day one summary
Mike Mertens Directions for RDM day one summary
 
RDM programme @ Edinburgh an institutional approach
RDM programme @ Edinburgh an institutional approachRDM programme @ Edinburgh an institutional approach
RDM programme @ Edinburgh an institutional approach
 
NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...
NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...
NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...
 
Lorraine Beard RDM at the University of Manchester
Lorraine Beard RDM at the University of ManchesterLorraine Beard RDM at the University of Manchester
Lorraine Beard RDM at the University of Manchester
 
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...
 
NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...
NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...
NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...
 
Practical and Conceptual Considerations of Research Object Preservation
Practical and Conceptual Considerations of Research Object PreservationPractical and Conceptual Considerations of Research Object Preservation
Practical and Conceptual Considerations of Research Object Preservation
 

Semelhante a Lightning Talk, Doty: Faculty Practices and Perspectives on Research Data Management

RDMRose 4.4 Resources for further study
RDMRose 4.4 Resources for further studyRDMRose 4.4 Resources for further study
RDMRose 4.4 Resources for further studyRDMRose
 
Libraries and Research Data Management – What Works? - Sheila Corrall - Immer...
Libraries and Research Data Management – What Works? - Sheila Corrall - Immer...Libraries and Research Data Management – What Works? - Sheila Corrall - Immer...
Libraries and Research Data Management – What Works? - Sheila Corrall - Immer...LIBER Europe
 
RDMRose 1.6 Research data services
RDMRose 1.6 Research data servicesRDMRose 1.6 Research data services
RDMRose 1.6 Research data servicesRDMRose
 
RDM librarians Skills & Competencies: roles & training (SPARC & COAR Member W...
RDM librarians Skills & Competencies: roles & training (SPARC & COAR Member W...RDM librarians Skills & Competencies: roles & training (SPARC & COAR Member W...
RDM librarians Skills & Competencies: roles & training (SPARC & COAR Member W...Pedro Príncipe
 
Advances in Learning Analytics and Educational Data Mining
Advances in Learning Analytics and Educational Data Mining Advances in Learning Analytics and Educational Data Mining
Advances in Learning Analytics and Educational Data Mining MehrnooshV
 
RDM requirements gathering with DAF
RDM requirements gathering with DAFRDM requirements gathering with DAF
RDM requirements gathering with DAFSarah Jones
 
Other DCC tools and resources: a quick overview
Other DCC tools and resources: a quick overviewOther DCC tools and resources: a quick overview
Other DCC tools and resources: a quick overviewMarieke Guy
 
Re tooling for data management-support
Re tooling for data management-supportRe tooling for data management-support
Re tooling for data management-supportSherry Lake
 
Getting Data Creators On Board with the Digital Curation Agenda
Getting Data Creators On Board with the Digital  Curation AgendaGetting Data Creators On Board with the Digital  Curation Agenda
Getting Data Creators On Board with the Digital Curation AgendaDigCurV
 
Rdm consultation 13 may 14
Rdm consultation 13 may 14Rdm consultation 13 may 14
Rdm consultation 13 may 14rachaelwhitfield
 
UCISA Learning Anaytics Pre-Conference Workshop
UCISA Learning Anaytics Pre-Conference WorkshopUCISA Learning Anaytics Pre-Conference Workshop
UCISA Learning Anaytics Pre-Conference WorkshopMike Moore
 
RDMRose 1.5 Data management and sharing plans
RDMRose 1.5 Data management and sharing plansRDMRose 1.5 Data management and sharing plans
RDMRose 1.5 Data management and sharing plansRDMRose
 
Andrew Cox Research data management
Andrew Cox Research data managementAndrew Cox Research data management
Andrew Cox Research data managementIncisive_Events
 
M Sc Applied eLearning - WIP Presentation
M Sc Applied eLearning - WIP PresentationM Sc Applied eLearning - WIP Presentation
M Sc Applied eLearning - WIP PresentationPatWalshDIT
 
Facing the Data Challenge: Institutions, Disciplines, Services and Risks
Facing the Data Challenge: Institutions, Disciplines, Services and RisksFacing the Data Challenge: Institutions, Disciplines, Services and Risks
Facing the Data Challenge: Institutions, Disciplines, Services and RisksLizLyon
 
'Data Management Planning: the role of institutions and researchers' eResearc...
'Data Management Planning: the role of institutions and researchers' eResearc...'Data Management Planning: the role of institutions and researchers' eResearc...
'Data Management Planning: the role of institutions and researchers' eResearc...Marta Ribeiro
 
RDMRose 3.1 Data Asset Framewok surveys
RDMRose 3.1 Data Asset Framewok surveysRDMRose 3.1 Data Asset Framewok surveys
RDMRose 3.1 Data Asset Framewok surveysRDMRose
 
Library Connect Webinar - Data Sharing
Library Connect Webinar - Data Sharing Library Connect Webinar - Data Sharing
Library Connect Webinar - Data Sharing Library_Connect
 
2-6-14 ESI Supplemental Webinar: The Data Information Literacy Project
2-6-14 ESI Supplemental Webinar: The Data Information  Literacy Project2-6-14 ESI Supplemental Webinar: The Data Information  Literacy Project
2-6-14 ESI Supplemental Webinar: The Data Information Literacy ProjectDuraSpace
 
Case Study - Virtual Worlds and Learning Analytics
Case Study - Virtual Worlds and Learning AnalyticsCase Study - Virtual Worlds and Learning Analytics
Case Study - Virtual Worlds and Learning AnalyticsVanessa Camilleri
 

Semelhante a Lightning Talk, Doty: Faculty Practices and Perspectives on Research Data Management (20)

RDMRose 4.4 Resources for further study
RDMRose 4.4 Resources for further studyRDMRose 4.4 Resources for further study
RDMRose 4.4 Resources for further study
 
Libraries and Research Data Management – What Works? - Sheila Corrall - Immer...
Libraries and Research Data Management – What Works? - Sheila Corrall - Immer...Libraries and Research Data Management – What Works? - Sheila Corrall - Immer...
Libraries and Research Data Management – What Works? - Sheila Corrall - Immer...
 
RDMRose 1.6 Research data services
RDMRose 1.6 Research data servicesRDMRose 1.6 Research data services
RDMRose 1.6 Research data services
 
RDM librarians Skills & Competencies: roles & training (SPARC & COAR Member W...
RDM librarians Skills & Competencies: roles & training (SPARC & COAR Member W...RDM librarians Skills & Competencies: roles & training (SPARC & COAR Member W...
RDM librarians Skills & Competencies: roles & training (SPARC & COAR Member W...
 
Advances in Learning Analytics and Educational Data Mining
Advances in Learning Analytics and Educational Data Mining Advances in Learning Analytics and Educational Data Mining
Advances in Learning Analytics and Educational Data Mining
 
RDM requirements gathering with DAF
RDM requirements gathering with DAFRDM requirements gathering with DAF
RDM requirements gathering with DAF
 
Other DCC tools and resources: a quick overview
Other DCC tools and resources: a quick overviewOther DCC tools and resources: a quick overview
Other DCC tools and resources: a quick overview
 
Re tooling for data management-support
Re tooling for data management-supportRe tooling for data management-support
Re tooling for data management-support
 
Getting Data Creators On Board with the Digital Curation Agenda
Getting Data Creators On Board with the Digital  Curation AgendaGetting Data Creators On Board with the Digital  Curation Agenda
Getting Data Creators On Board with the Digital Curation Agenda
 
Rdm consultation 13 may 14
Rdm consultation 13 may 14Rdm consultation 13 may 14
Rdm consultation 13 may 14
 
UCISA Learning Anaytics Pre-Conference Workshop
UCISA Learning Anaytics Pre-Conference WorkshopUCISA Learning Anaytics Pre-Conference Workshop
UCISA Learning Anaytics Pre-Conference Workshop
 
RDMRose 1.5 Data management and sharing plans
RDMRose 1.5 Data management and sharing plansRDMRose 1.5 Data management and sharing plans
RDMRose 1.5 Data management and sharing plans
 
Andrew Cox Research data management
Andrew Cox Research data managementAndrew Cox Research data management
Andrew Cox Research data management
 
M Sc Applied eLearning - WIP Presentation
M Sc Applied eLearning - WIP PresentationM Sc Applied eLearning - WIP Presentation
M Sc Applied eLearning - WIP Presentation
 
Facing the Data Challenge: Institutions, Disciplines, Services and Risks
Facing the Data Challenge: Institutions, Disciplines, Services and RisksFacing the Data Challenge: Institutions, Disciplines, Services and Risks
Facing the Data Challenge: Institutions, Disciplines, Services and Risks
 
'Data Management Planning: the role of institutions and researchers' eResearc...
'Data Management Planning: the role of institutions and researchers' eResearc...'Data Management Planning: the role of institutions and researchers' eResearc...
'Data Management Planning: the role of institutions and researchers' eResearc...
 
RDMRose 3.1 Data Asset Framewok surveys
RDMRose 3.1 Data Asset Framewok surveysRDMRose 3.1 Data Asset Framewok surveys
RDMRose 3.1 Data Asset Framewok surveys
 
Library Connect Webinar - Data Sharing
Library Connect Webinar - Data Sharing Library Connect Webinar - Data Sharing
Library Connect Webinar - Data Sharing
 
2-6-14 ESI Supplemental Webinar: The Data Information Literacy Project
2-6-14 ESI Supplemental Webinar: The Data Information  Literacy Project2-6-14 ESI Supplemental Webinar: The Data Information  Literacy Project
2-6-14 ESI Supplemental Webinar: The Data Information Literacy Project
 
Case Study - Virtual Worlds and Learning Analytics
Case Study - Virtual Worlds and Learning AnalyticsCase Study - Virtual Worlds and Learning Analytics
Case Study - Virtual Worlds and Learning Analytics
 

Mais de ASIS&T

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)ASIS&T
 
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...ASIS&T
 
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...ASIS&T
 
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...ASIS&T
 
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 PracticeASIS&T
 
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...ASIS&T
 
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...ASIS&T
 
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...ASIS&T
 
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?ASIS&T
 
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...ASIS&T
 
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 BrokerASIS&T
 
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...ASIS&T
 
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...ASIS&T
 
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 DataASIS&T
 
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 CollaborationASIS&T
 
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...ASIS&T
 
RDAP 16: How do we know where to grow? Assessing Research Data Services at th...
RDAP 16: How do we know where to grow? Assessing Research Data Services at th...RDAP 16: How do we know where to grow? Assessing Research Data Services at th...
RDAP 16: How do we know where to grow? Assessing Research Data Services at th...ASIS&T
 
RDAP 16: I built it. They came. Now what? (Panel 2, Sustainability)
RDAP 16: I built it. They came. Now what? (Panel 2, Sustainability)RDAP 16: I built it. They came. Now what? (Panel 2, Sustainability)
RDAP 16: I built it. They came. Now what? (Panel 2, Sustainability)ASIS&T
 
RDAP 16: Building Sustainable Services at the Small(er) Scale (Panel 4, Measu...
RDAP 16: Building Sustainable Services at the Small(er) Scale (Panel 4, Measu...RDAP 16: Building Sustainable Services at the Small(er) Scale (Panel 4, Measu...
RDAP 16: Building Sustainable Services at the Small(er) Scale (Panel 4, Measu...ASIS&T
 
RDAP 16 Poster: Librarian Research Data: Customizing the DMP Assistant for Pr...
RDAP 16 Poster: Librarian Research Data: Customizing the DMP Assistant for Pr...RDAP 16 Poster: Librarian Research Data: Customizing the DMP Assistant for Pr...
RDAP 16 Poster: Librarian Research Data: Customizing the DMP Assistant for Pr...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: 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 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...
 
RDAP 16: How do we know where to grow? Assessing Research Data Services at th...
RDAP 16: How do we know where to grow? Assessing Research Data Services at th...RDAP 16: How do we know where to grow? Assessing Research Data Services at th...
RDAP 16: How do we know where to grow? Assessing Research Data Services at th...
 
RDAP 16: I built it. They came. Now what? (Panel 2, Sustainability)
RDAP 16: I built it. They came. Now what? (Panel 2, Sustainability)RDAP 16: I built it. They came. Now what? (Panel 2, Sustainability)
RDAP 16: I built it. They came. Now what? (Panel 2, Sustainability)
 
RDAP 16: Building Sustainable Services at the Small(er) Scale (Panel 4, Measu...
RDAP 16: Building Sustainable Services at the Small(er) Scale (Panel 4, Measu...RDAP 16: Building Sustainable Services at the Small(er) Scale (Panel 4, Measu...
RDAP 16: Building Sustainable Services at the Small(er) Scale (Panel 4, Measu...
 
RDAP 16 Poster: Librarian Research Data: Customizing the DMP Assistant for Pr...
RDAP 16 Poster: Librarian Research Data: Customizing the DMP Assistant for Pr...RDAP 16 Poster: Librarian Research Data: Customizing the DMP Assistant for Pr...
RDAP 16 Poster: Librarian Research Data: Customizing the DMP Assistant for Pr...
 

Lightning Talk, Doty: Faculty Practices and Perspectives on Research Data Management

  • 1. https://www.asis.org/rdap/ Faculty Practices and Perspectives on Research Data Management Jennifer Doty & Katherine G. Akers Emory University Libraries 4/4/2013 Doty & Akers, Faculty Practices & Perspectives on RDM
  • 2. https://www.asis.org/rdap/ [front matter] • Data Services @ Emory University Libraries • Why an(other) assessment? • Survey design and methods Doty & Akers, Faculty Practices & 4/4/2013 Perspectives on RDM
  • 3. Faculty Survey Respondents Doty & Akers, Faculty Practices & 4/4/2013 Perspectives on RDM
  • 4. Familiarity with DMPs Doty & Akers, Faculty Practices & 4/4/2013 Perspectives on RDM
  • 5. Data Sharing: Yes/No? Doty & Akers, Faculty Practices & 4/4/2013 Perspectives on RDM
  • 6. Data Sharing: Who? Doty & Akers, Faculty Practices & 4/4/2013 Perspectives on RDM
  • 7. Data Sharing: Why Not? Doty & Akers, Faculty Practices & 4/4/2013 Perspectives on RDM
  • 8. Data Deposit: Yes/No? Doty & Akers, Faculty Practices & 4/4/2013 Perspectives on RDM
  • 9. Data Deposit: Where? Doty & Akers, Faculty Practices & 4/4/2013 Perspectives on RDM
  • 10. Data Management Services? Doty & Akers, Faculty Practices & 4/4/2013 Perspectives on RDM
  • 11. https://www.asis.org/rdap/ [back matter] • Acknowledgements: – Vince Carter, Emory University, Office of Institutional Research, Planning, and Effectiveness – Research Data Management Working Group, Emory University Libraries, guides.main.library.emory.edu/datamgmt • References: – Parham, S. W., Bodnar, J., & Fuchs, S. (2012). Supporting tomorrow’s research: Assessing faculty data curation needs at Georgia Tech. C&RL News, 10–13. – Scaramozzino, J. M., Ramírez, M. L., & McGaughey, K. J. (2012). A Study of Faculty Data Curation Behaviors and Attitudes at a Teaching-Centered University. College & Research Libraries, 73(4), 349–365. – DaMaRO project, University of Oxford Research Data Management Survey 2012: http://blogs.oucs.ox.ac.uk/damaro/2013/01/03/university-of-oxford-research-data- management-survey-2012-the-results/ Doty & Akers, Faculty Practices & 4/4/2013 Perspectives on RDM
  • 12. https://www.asis.org/rdap/ Contact Us Jennifer Doty, Data Management Specialist jennifer.doty@emory.edu Katherine G. Akers, e-Science Librarian/CLIR Postdoctoral Fellow katherine.g.akers@emory.edu Doty & Akers, Faculty Practices & 4/4/2013 Perspectives on RDM

Notas do Editor

  1. Libraries’ Data Center founded in 1996. Services more focused on early stages of working with research data (access to and analysis of); two new positions (Data Management Specialist, E-Science Librarian) added in Summer 2012 to develop services to address the rest of data life cycle. Reviewed survey/assessment examples from other institutions (GaTech, Cornell, U.Va., Cal Poly, UNC). Assess RDM needs across our campus to identify areas where library staff can target most beneficial, tailored assistance. Worked with Emory’s institutional research office to conduct survey.
  2. Method for grouping by major disciplinary categories: to evaluate for possible differences among fields, assigned respondents to one of 4 groups. Some were by primary departmental affiliation (e.g. all of Art History assigned to Arts/Hum); some by reviewing their specific research topic/methodology (e.g. Psych folks could go to Basic Sci or Soc Sci). Medical Science—research conducted in clinical, “applied” setting. Basic Science—lab, “experimental” setting.
  3. Overall trend: researchers are not at all, or only somewhat, familiar with funders’ data management plan requirements. Basic Sciences have greatest levels of familiarity, while majority of Arts & Humanities have not yet encountered them.
  4. Researchers are not generally in the habit of sharing their data, with Medical Sciences least likely to, and Basic Sciences most likely to.
  5. Faculty are most inclined to share data with other researchers, especially collaborators. Medical Sciences are least likely to share with anyone outside their particular research projects; Arts & Humanities appear most willing to share with wider world—both within the academy and with the general public.
  6. Reasons not to share data trend towards issues of sensitivity/confidentiality, or concerns about not getting credit. Medical Sciences are most likely to have security-related concerns (sensitive personal health information), while the Humanities and Basic Sciences want to ensure proper citation and credit of their work.
  7. Overwhelmingly, researchers are not currently depositing their data (one Emory affiliate with data in Dryad; Social Sciences better represented in ICPSR (89), and some journal replication archives hosted in Dataverse). Basic Sciences are most likely to be already depositing…
  8. … which is reflected in the open text responses to where faculty are already depositing their data.
  9. Surprisingly, faculty workshops on RDM were most popular service requested. Investigating possible partnerships across campus to address areas of greatest interest and concern (i.e. confidentiality) and incorporate training into ongoing schedules of offerings to PIs and administrators. Strong interest in digitization by Arts & Humanities faculty could help guide future strategy by library’s digitization program. Next steps: Individual interviews with researchers; collaborations with campus partners to develop appropriate services.