Research Informatics and open science maturity model

CD2H Phase 2 Proposal

Project Title: Research Informatics and open science maturity model

Point Person:
Adam Wilcox, abwilcox@uw.edu, University of Washington
Robin Champieux, champieu@ohsu.edu, OHSU
David Dorr, dorrd@ohsu.edu, OHSU

Elevator pitch:

The purpose of this survey is to elicit key indicators that are increasing levels of maturity related to collaboration and open science research and translational IT; these ‘maturity levels’ should define the ability of institutions to engage in innovative and collaborative open science. Our definition of research and translational IT are the capabilities that enable data, information, and knowledge to be discovered, processed, and shared. It focuses on three key areas:

  • Governance and Leadership
  • Data sharing and licensing
  • Deployment of infrastructure, tools, and teams to meet research needs

After the survey is complete, organizations will be able to self-assess their maturity level and identify specific ways to advance their own capabilities, informed by others’ experience.

 

Project history:

Yes, this project builds off the work completed in Phase 1 of the Maturity Model.  

 

GitHub repo:

 

Project description:

Organizations that engage in research, especially those with Clinical and Translational Science groups, may want to self-assess their maturity of key research IT capabilities and learn to improve these capabilities.  This project intends to develop an approach to help organizations through that process. It builds on other assessments by Embi, Knosp, Barnett, and Anderson by narrowing the focus to key areas related to collaborative and open science, and provides more clarity and context for the possibilities for improvement.  It also intends to facilitate the process of improvement through guided vignettes and tools.

 

Proposed solution:

The purpose of this survey is to elicit key indicators related to research and translational IT that may drive the ability for institutions to engage in innovative and collaborative open science.  Our definition of research and translational IT are the capabilities that enable data, information, and knowledge to be discovered, processed, and shared. It focuses on three key areas:

  • Governance and Leadership
  • Data sharing and licensing
  • Deployment of capabilities related to data (architecture, content, tools, and sharing)

 

The survey has three steps:  

1) data collection for “artifacts” related to our focus areas and open science/collaboration more broadly.  This includes documenting the evidence of tools, policies, governance structures, leadership positions, and resources at a site.

2) Open-ended questions related to governance and leadership, and policies influencing data sharing and licensing.

3) A guided identification of  ‘bright spots’ related to the deployment of key infrastructure capabilities.   

 

Benefit:

CTSAs are the core sources of clinical and translational research, but often struggle with helping their organizations understand the strategic importance of improving its informatics capabilities and IT deployment.  All institutions are trying to understand what they should invest in to remain innovative and competitive, not only in research but in translating knowledge into practice and exploring the data they have to improve health.

 

Significant interest in the Maturity Model has already been elicited without a wide call.  We want to democratize this kind of survey so that stakeholders at all levels can self-assess and work to improve their current functions and plan for innovation.


Expected outputs (6 months):

  1. Survey version 2.0, ready for administration to a wide audience (including self-assessment).
  2. Results / benchmarks from 1st twelve administrations.