Location
School of Law Seminar Room 3.10
Start Date
4-6-2026 4:30 PM
End Date
4-6-2026 5:30 PM
Description
Despite growing attention to open science and data sharing, most institutional reporting processes as well as assessment guidelines (e.g. for tenure and promotion) still fail to recognize research data as a first-class scholarly output. This gap hinders progress in open data practices and efforts to make research outputs more open, reusable, and reproducible.
This session builds on the work of the Implementing Data Evaluation in Academia initiative, which has developed a maturity model for data evaluation at institutions, template policy language for data recognition, and case studies from early-adopter universities. The panel will bring perspectives from institutions at varying stages of integrating data in their academic reporting and evaluation processes. The panelists will discuss how their institutional policies are evolving in response to open data mandates, resources available to support data evaluation at institutions, and the role of infrastructure in enabling data recognition. The session will address challenges related to the inclusion of data and open scholarship in institutional evaluation, and share lessons from implementing infrastructure and institutional policies in support of responsible evaluation and reward for data outputs.
Included in
Panel Discussion: Recognizing Research Data in Tenure & Promotion: Turning Policy Principles into Practice
School of Law Seminar Room 3.10
Despite growing attention to open science and data sharing, most institutional reporting processes as well as assessment guidelines (e.g. for tenure and promotion) still fail to recognize research data as a first-class scholarly output. This gap hinders progress in open data practices and efforts to make research outputs more open, reusable, and reproducible.
This session builds on the work of the Implementing Data Evaluation in Academia initiative, which has developed a maturity model for data evaluation at institutions, template policy language for data recognition, and case studies from early-adopter universities. The panel will bring perspectives from institutions at varying stages of integrating data in their academic reporting and evaluation processes. The panelists will discuss how their institutional policies are evolving in response to open data mandates, resources available to support data evaluation at institutions, and the role of infrastructure in enabling data recognition. The session will address challenges related to the inclusion of data and open scholarship in institutional evaluation, and share lessons from implementing infrastructure and institutional policies in support of responsible evaluation and reward for data outputs.