Article
Responsible metrics for evaluating research quality
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Published: | February 26, 2021 |
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The quality of research, researchers, and research institutions is traditionally assessed with metrics such as journal impact factor, H-index, and number of publications. These metrics affect research choices (e.g., whether and how a researcher pursues a question), career success of individual researchers (e.g., hiring, tenure), and the status of research institutions (e.g., receipt of large-scale grants, rankings). However, these metrics fail to capture the full range of research value and often provoke research waste by incentivizing poor practices, for example, promoting the number rather than the quality of research publications.??????
Researchers, funders, and regulators have proposed alternate metrics to serve as more holistic indicators of good research practices and hence research value. Such practices include, for example, open access publication, pre-registration of research design and analysis, and timely publication of all research findings. To enable the adoption of new metrics at the institutional level, we must develop tools to allow for efficient generation of the metrics, create strategies for communicating these metrics with the institutions, and evaluate whether each metric serves as a successful indicator.
In this talk, I will present our work to develop automated pipelines to determine the proportion of research projects pursuing responsible practices; for example, are clinical trials pre-registered, and is the registration properly reported in the publication, abstract, and meta-data? I will also present a web tool for disseminating these metrics to research institutions. Finally, I will present a planned evaluation study to assess the accessibility and usefulness of these new metrics. This work is conducted within the context of Germany's 38 University Medical Centers, with the applied goal of improving research practices at these institutions as well as developing tools to support responsible knowledge generation in a broader context.
The authors declare that they have no competing interests.
The authors declare that an ethics committee vote is not required.
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