Brenda Reeb

Chris Eagle

Louis King

Chris Hubing (Penn State)

Dan Kiskis (Michigan)

Dana Miller (Miami U of Ohio)

Glenn Donaldson (Ohio State)

Luke Tracy UMich

Michael Janek (MnSCUY)

Mojgan Amini (UCSD)

Noreen Hogan (UofO)

Paul Crum (Penn State)

Rupert Berk (UWash)

Scott Fullerton (Unizin)

Ashish Pandit (UCSD)

Updates on API Working Group

Meetings will be on monthly 2nd Wednesday.  Next pres by BYU on API documentation

Spring F2F

Expect survey questionnaire for preferred dates

Implementing Data Governance

University of Rochester

Alan Czaplicki, Deputy to the Provost and Brenda Reeb  Information Architect

Problem statement:  need for data infrastructure to support research data.  No centralized accessible pool of faculty data

Approach; to form data governance and structure.

What was it like to understand the problem and formulate the approach?

  1. Challenge of understanding data as a shared resource in a decentralized environment.
  2. Data governance is a thing (i.e., change in perspective) and not just a project.  

Is there any way data governance has deterred your work?

Who are the drivers?

How the need originated

Focus is on data quality across domains.  Questions about how to determine policies and structures.  It seems, though, the focus is on administrative data.  Is there attention paid to output from intellectual activities

What is focus for next six months

Talk about the role of steward

Are you able to leverage drivers?

Yale University

Limor Peer and Louis King.

Will make materials available

Role and current work

Started from an Institute supporting social science research data.  Desire in 2010 to make research data publicly available.  At the time there was no answer as to how to do that?   Questions about workflows, policy, mechanisms.  At the time no established institutional repo for research data.

How do you understand data governance today?  How has it changed?

The biggest problems seem to regarding research output.  Louis's group has been attempting to address the general problem from an administrative side hoping it was open to the research side.  When the research policy group looked at it it seemed to resonate.  Does the framework really apply to Research.

Drivers include Quality, student access to data, migration to a new ERP.  Has led to recognition of a university-wide response.    

What have you identified that needs work?  How are you constituted?

Limor urges anyone thinking about data governance to address research data.

 

How difficult is it to set up institutional data gov policy without an established repository?

How do you deal with informal boundaries/definitions of research data?