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Understanding Data Curation
Practices Among Scholars
            The CLIR/Sloan Research Project




CLIR project team: L.M. Jahnke, A. Asher, S. Keralis, E. Shore, R. Frick, and
C. Henry
Understand scholarly workflows

    Identify unmet researcher needs

Make policy and funding recommendations
Emerging Themes

    No Formal Training              Proximate Goals Rule

     Learn on the Job           Publish or Perish Environment




       Data Sharing               Technical Issues Abound

Philosophy vs. Practicalities         Academic Nomad
Technical Issues Abound

                       Academic Nomad



 “…one of the things that’s really helped us in the very recent
  past is, is being able to store all of our data…on a server
                          somewhere...

…the infrastructure has to be there….in order to be able to even
                  begin to organize yourself…

 …it’s a combination of, sort of people and, and hardware that
has to, um, be there in order to facilitate someone like me who
has a lot of data being able to manage those data effectively.”
Data Sharing

                    Philosophy vs. Practicalities



“…people don’t hesitate, at all, to share data with collaborators
                       that they trust…

If you provide a mechanism for collaboration, um, even if it’s just
 Google Docs or something, you know, people share data easily
   and freely. It’s when it becomes an anonymous process that
                      they seem to get balky.”
Career Path
           Emeritus    variable

      Full Professor   variable

          Associate    variable
          Professor

 Assistant Professor   7 yrs



Early Career/Postdoc   3-5 yrs




   Graduate Training   5-10+ yrs


     Undergraduate
Career Path
                                   Data Practices
           Emeritus    variable

      Full Professor   variable

          Associate    variable
          Professor

 Assistant Professor   7 yrs



Early Career/Postdoc   3-5 yrs




   Graduate Training   5-10+ yrs


     Undergraduate
Career Path
                                       Mobility
           Emeritus    variable

      Full Professor   variable

          Associate    variable
          Professor

 Assistant Professor   7 yrs



Early Career/Postdoc   3-5 yrs




   Graduate Training   5-10+ yrs


     Undergraduate
Workflow
            Staying                Feasibility Research
                         Researc
            Current                    Define Problem
                          h idea
Teachin                                           Scope
   g        Active
           Research
                                   Project Design
                                    Seek Collaborators     Data
          Presentation                    Seek Funding



          Publication              Active Research
                                        Data Collection
                                               Analysis
                                          Interpretation
Research Context


  Single     Research Team   Major Research
Researcher                      Initiative
Research Context


  Single     Research Team   Major Research
Researcher                      Initiative
Thank You
              ljahnke@collegeofphysicians.org




Funding provided by the Alfred P. Sloan Foundation

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CLIR/Sloan Project Slides DLF Forum

  • 1. Understanding Data Curation Practices Among Scholars The CLIR/Sloan Research Project CLIR project team: L.M. Jahnke, A. Asher, S. Keralis, E. Shore, R. Frick, and C. Henry
  • 2. Understand scholarly workflows Identify unmet researcher needs Make policy and funding recommendations
  • 3. Emerging Themes No Formal Training Proximate Goals Rule Learn on the Job Publish or Perish Environment Data Sharing Technical Issues Abound Philosophy vs. Practicalities Academic Nomad
  • 4. Technical Issues Abound Academic Nomad “…one of the things that’s really helped us in the very recent past is, is being able to store all of our data…on a server somewhere... …the infrastructure has to be there….in order to be able to even begin to organize yourself… …it’s a combination of, sort of people and, and hardware that has to, um, be there in order to facilitate someone like me who has a lot of data being able to manage those data effectively.”
  • 5. Data Sharing Philosophy vs. Practicalities “…people don’t hesitate, at all, to share data with collaborators that they trust… If you provide a mechanism for collaboration, um, even if it’s just Google Docs or something, you know, people share data easily and freely. It’s when it becomes an anonymous process that they seem to get balky.”
  • 6. Career Path Emeritus variable Full Professor variable Associate variable Professor Assistant Professor 7 yrs Early Career/Postdoc 3-5 yrs Graduate Training 5-10+ yrs Undergraduate
  • 7. Career Path Data Practices Emeritus variable Full Professor variable Associate variable Professor Assistant Professor 7 yrs Early Career/Postdoc 3-5 yrs Graduate Training 5-10+ yrs Undergraduate
  • 8. Career Path Mobility Emeritus variable Full Professor variable Associate variable Professor Assistant Professor 7 yrs Early Career/Postdoc 3-5 yrs Graduate Training 5-10+ yrs Undergraduate
  • 9. Workflow Staying Feasibility Research Researc Current Define Problem h idea Teachin Scope g Active Research Project Design Seek Collaborators Data Presentation Seek Funding Publication Active Research Data Collection Analysis Interpretation
  • 10. Research Context Single Research Team Major Research Researcher Initiative
  • 11. Research Context Single Research Team Major Research Researcher Initiative
  • 12. Thank You ljahnke@collegeofphysicians.org Funding provided by the Alfred P. Sloan Foundation