Methodology - Charité Compass on Research Quality
Background
Economic, social, and cultural challenges are increasingly pushing societal demands for the effective translation of scientific knowledge into societal benefits. At the same time, extensive meta-research has exposed substantial and widespread deficits in the scientific rigour, transparency, and reproducibility of research studies, which significantly undermine public trust in science. To enhance the translational potential of biomedical research, the BIH QUEST Centre for Responsible Research has developed a comprehensive implementation program aimed at improving research quality, promoting open science, including patient and stakeholder engagement, and supporting transparent and effective research data management. Complementing the implementation program, the Center is currently establishing the COMPASS monitoring and evaluation system to track its progress and effectively assess the intended outcomes.
Instrument Development
The Charité COMPASS on Research Quality presented here is a modular research assessment tool that translates the intended outcomes of QUEST Center’s implementation program into measurable research practices.
In the scope of the QUEST Center’s monitoring and evaluation activities, the Compass represents an assessment tool that translates program outcomes, in particular research practices enhancing the translational potential of biomedical research, into measurable research practices. The instrument was developed through a rigorous, theory- and practice-informed process. First, QUEST program-related research practices were mapped into clear dimensions, sub-dimensions that were translated into measurable topic-specific indicators, i.e. scales and sub-scales, whereby items populating the scales were drawn from the literature on research methodology, established reporting guidelines, or developed together with experts in the field of biomedical research. In the next step, iterative expert review ensured content validity and relevance, prompting refinements to wording and structure. Further, survey instructions and response formats were defined, followed by a usability pre-test that checked logical flow, respondent friendliness and digital compatibility. The instrument is now in the pilot phase, where empirical studies are assessing its validity and reliability.
Utilisation
Using either the whole scale or single subscales of the Compass, offers valuable opportunities to diverse target groups of the science system to assess and reflect on high-quality and responsible research practices, namely:
- Student
- Researcher
- Research Team
- Reviewer
Data Analysis & Presentation
Given the unidimensional nature of the items, response values are suitable for summation and averaging. However, the median is the preferred measure of central tendency, as it is more robust to potential outliers and skewed distributions.
To facilitate interpretation of the assessments, the Compass displays results as a radar chart.
Scales & Subscales
The scales and subscales in this instrument primarily reflect research practices relevant to QUEST program activities.
Ethics of Science
- Equitable authorship, Timely reporting
Research ethics
- Privacy protection, Data protection, Transparent Reporting, Animal Welfare (further subdivided into Replacement, Reduction, Refinement)
Evidence Synthesis & Evaluation in Biomedical Research
- Systematic Literature Search, Critical Appraisal, Meta-Analysis, Evidence Synthesis
Study Design in Biomedical Research
- Research Question, Theory Framing, Research Design, Pre-Registration, Data Management Plan
Research Validity in Biomedical Research
- Internal Validity, External Validity, Statistical, Construct Validity
Research Documentation in Biomedical Research
- Accurate, Legible, Original, Contemporaneous, Accessible (*ALCOA)
Presentation Quality in Biomedical Research
- Clarity, Coherence, Accuracy, Inclusiveness
Scientific Relevance of Biomedical Research
- Originality, Theoretical Contribution, Methodological Advancements,
Practical Relevance of Biomedical Research
- Applicability, Impact on Stakeholders, Policy Influence
Patient and Stakeholder Engagement in Biomedical Research
- Allocation of Tasks, Interaction, Epistemology
Accessibility & Reuse in Biomedical Research
- Open-Access Publishing, Open Methods, Open Data, Open Code, Reuse
Research Data Management in Biomedical Research
- Data Description, Documentation, Storage & Backup, Legal and Ethics, Preservation & Sharing, Responsibilities
Literature
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Al-Shahi Salman, Rustam, Elaine Beller, Jonathan Kagan, Elina Hemminki, Robert S. Phillips, Julian Savulescu, Malcolm R. Macleod, and others, ‘Reducing Waste from Incomplete or Unusable Reports of Biomedical Research’, The Lancet, 383.9912 (2014), 176–85 <https://doi.org/10.1016/S0140-6736(13)62228-X>
Barlösius, Eva, ‘Concepts of Originality in the Natural Science, Medical, and Engineering Disciplines: An Analysis of Research Proposals’, Science Technology and Human Values, 44.6 (2019), 915–37 <https://doi.org/10.1177/0162243918808370>
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Ioannidis, John P.A., Sander Greenland, Mark A. Hlatky, Muin J. Khoury, Malcolm R. Macleod, David Moher, and others, ‘Increasing Value and Reducing Waste in Research Design, Conduct, and Analysis’, The Lancet, 383.9912 (2014), 166–75 <https://doi.org/10.1016/S0140-6736(13)62227-8>
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Contact
Dr.rer.nat. Christiane Wetzel, M.Sc. Science Management, Head of Monitoring & Evaluation Unit, BIH QUEST Center for Responsible Research, e-mail: quest-programmevaluation@bih-charite.de
Acknowledgements
I gratefully acknowledge the valuable contributions of our colleagues at QUEST Center for Responsible Research, especially Silke Kniffert, Natascha Drude, Evgeny Bobrov, Sarah Weschke, Alexandra Bannach-Brown, and Sofija Vojvodić, as well as our colleagues at Charité3R, especially Lisa Grohmann, in providing comprehensive expert input on responsible research practices. Their insights and expertise were instrumental in developing items describing QUEST program-relevant research practices. I also acknowledge the assistance of ChatGPT, an AI language model developed by OpenAI, which assisted in streamlining and refining the wording of items, thereby improving the clarity and coherence of the research practice scales presented here. All final decisions regarding content and structure remain the author's responsibility.
Funding
The project received funding by the Stiftung Charité through the Max Rubner Award 2022, project number StC_MRP_2022_10.