<b> <i>OER Statistics Framework:</i> </b> Recognizing and rewarding Open Educational Resources in Academic Evaluation
Abstract Academic teaching is an essential part of science. Nevertheless, teaching achievements are not recognized and rewarded to the same extent in academic evaluations as other achievements, in particular research activities. Against the backdrop of the Responsible Research Assessment (RRA) movement, the OER Statistics Framework was developed to make teaching performance visible in scientific evaluations by treating OER as a scientometric measurement object. OER-based assessments are carried out at the individual level in the case of scientists and at the institutional level for larger units like research groups, institutes or universities. The assessments comprise classical productivity, cooperation, resonance, openness, and altmetric indicators, as well as innovative indicators representing knowledge transfer between teaching and research (transfer indicators). At the institutional level, newly introduced support indicators are used to record performance in terms of an OER-promoting ecosystem.
Authors
- Verena Weimer (ORCID: https://orcid.org/0000-0002-4500-7877)
- Sylvia Kullmann (ORCID: https://orcid.org/0009-0001-5135-8761)
Institutions
- DIPF | Leibniz Institute for Research and Information in Education (DE)
Publication Details
- Journal
- Information - Wissenschaft & Praxis
- Published
- 2025-11-28
- DOI
- https://doi.org/10.1515/iwp-2025-2051
- Primary Topic
- Open Education and E-Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.00