Tools for CTSAs
Informatics Maturity Model
David Dorr | firstname.lastname@example.org
Adam Wilcox | email@example.com
Robin Champieux | firstname.lastname@example.org
The Maturity Model is deployed to allow a CTSA hub self-assess informatics maturity in the areas of data, governance, and policy. Furthermore, this model will help determine critical informatics capabilities associated with maturity and give guidance on what steps are needed to achieve the following:
• Define informatics maturity stages and best practices
• Create a self assessment and roadmap for informatics growth
• Promote use of maturity model for assessment and planning
Our Current Projects
Institutional informatics, research IT, and open science maturity model
Lead: David Dorr
This survey and process model aims to elicit key indicators in informatics governance and leadership, data sharing and licensing, and deployment of infrastructure, tools, and teams to meet research needs.
Lead | Shannon McWeeney | email@example.com
The mission of the CD2H Education and Learning Innovation Committee (CD2H-ELI) is to stimulate the use of cutting edge biomedical research informatics and data science educational training materials and approaches for CTSA Program researchers, in coordination with existing community efforts. Within-in CD2H, ELI is involved in a number of cross-cutting initiatives including serving as a community liaison, enhancing discoverability and dissemination of learning “jewels”, supporting dynamic precision pathways to support workforce training and career development and enhancing better attribution for education/training roles and outputs.
Our Current Projects
This project aims to harmonize the metadata of the educational and training materials within N-Lighten with personalized pathways from the Development, Implementation and AssessMent of Novel Training in Domain-based Competencies (DIAMOND) platform, and make them all more discoverable via a CD2H discovery engine.
Reusable Data best practice portal
Lead: Chunlei Wu
This portal aims to help investigators share their data (or information about their data) using best practices for metadata, identifiers, licensing, and other attributes; the goal is to enable discovery and reuse.
CTSA Hubs use a variety of software to achieve tasks efficiently. Please watch this space as we expand the library of CTSA hub tools. If you have a tool that warrants inclusion please click here to bring it to our attention. Please note that having a tool listed here does not constitute an endorsement by CD2H or NCATS.
Best Practice Guides
CD2H is working with the community to develop best practice guides for tackling important challenges in translational informatics. We welcome your feedback or suggestions for other resources here.