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Misidentified biomedical resources: Journal guidelines are not a quick fix.
Wytske M Hepkema1, Serge P J M Horbach2,3, Joyce M Hoek4
1Institute of Sociology, Technische Universität Berlin, Berlin, Germany.
International Journal of Cancer
|November 22, 2021
Summary
Journal guidelines for reporting biological resources like cell lines and antibodies show limited effectiveness. Their success depends on implementation, community support, and resources, indicating they are part of a solution, not a quick fix.
Area of Science:
- Biomedical research
- Scientific reproducibility
- Research integrity
Background:
- Biomedical research relies on biological resources (cell lines, antibodies, animal models) which often have flaws.
- Issues include misidentified cell lines, antibody inconsistencies, and poor animal model translation to human trials.
- These flaws can invalidate study results, impacting scientific progress.
Purpose of the Study:
- To evaluate the impact of journal guidelines on the reporting of biological resource information.
- To compare reporting quality in journals with and without implemented guidelines.
- To identify factors influencing the effectiveness of these guidelines.
Main Methods:
- Utilized a dataset of existing and newly created data on cell lines, antibodies, and organisms.
- Analyzed identification and authentication information before and after guideline implementation.
- Compared reporting quality in journals with and without specific guidelines.
Main Results:
- Observed a general improvement in reporting quality over time across all journals.
- Guideline implementation accelerated reporting quality improvements in some, but not all, cases.
- Effectiveness varied based on context, including implementation, community support, and resource availability.
Conclusions:
- Journal reporting guidelines are not a standalone solution for improving biomedical resource documentation.
- Their effectiveness is context-dependent and influenced by various factors.
- Guidelines can be a component of a broader strategy to enhance research reproducibility and integrity.
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