Research Data Services Task Force Home

Purpose: As part of the UCLA campus effort to support research through data services and building upon Library Strategic Plan Goal Group 3, the Library will analyze its existing service offerings to identify data life-cycle service gaps. We will then articulate aspirational service goals that will better support researchers' efforts in creating, stewarding, safeguarding, and disseminating claims from their research data.  The Task Force will work in two phases to: a) articulate a vision in the first half of 2018 and then b) design a plan to begin implementing the vision during the second half of 2018. Organizationally, we see the implementation of desired outcomes identified by this group will be carried out in a hub and spoke model with the Social Science Data Archive (Data Archive) as the hub and allied or related services or units as spokes. A report that outlines the Library’s vision for research data service, technology, and community was presented to Cabinet on Nov. 6, 2018.  Full charge

Implementation state, Jan. 2020:

Rec #Rec NameStateNotes
1Create an All Library Research Data Program planning
2Fill existing and needed provisions to enact a data support service: 
  • Spatial Data Sciences Librarian (filled, start date May, 2020), 
  • Sciences Data Informationist (filled), 
  • Data Repository Developer (FTE still needed), 
  • and Reproducibility (Open Science) Librarian (FTE still needed) 

in progress


3

/wiki/spaces/DA/pages/29753686

done
  • UCLA Dataverse launched in Oct. 2019. 
  • CDL relaunched Dryad that included free deposit for UCLA researchers
4

Redesign, unify, and heighten the Library's web representation for research data support

planning
  • Library website redesign project being scoped now.
  • Some discussion also with campus partners on where this should live (top level subdomain).
5

Provide a data preservation infrastructure for locally stored research data that includes versioning, replicas and fixity/authenticity checks, including documentation that is maintained and publicly available. 


There are few efforts in motion provide or plan for this:

6Develop a training, consulting, and outreach program to the campus community in order to teach foundational coding and fundamental data skills needed to conduct research, meet funder/journal mandates, and support emerging expectations for transparency and reproducibility in researchin progress
7

To address the Library’s data skills gap, create an internal community of practice-based training program for public-facing librarians and staff to develop skills

in progress
  • Library Carpentry workshops (3 offered since 2017) intended to ameliorate these skills gaps
  • UCLA active in developing LC as a lesson program and offer regular workshops
  • Need trainings on RDM specifically


The output & research of the RDS-TF can be found at the following google drive: 


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