Give credit where credit is due, also for omics data
Ronald P de Vries, Mao Peng
TL;DR
This paper discusses ethical issues in using omics data and suggests ways to ensure fair credit and open research practices.
Contribution
The paper introduces suggestions for addressing ethical challenges in omics data usage.
Findings
Omics data growth raises ethical concerns about data use and credit.
The paper proposes solutions to promote fairness and openness in research.
Abstract
The exponentially increasing amount of omics data has created problems regarding ethical use of data generated by others. We address some of these issues and make suggestions on how they could be avoided or solved to ensure an open and fair research environment.
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsHealth, Environment, Cognitive Aging · Metabolomics and Mass Spectrometry Studies · Biomedical Text Mining and Ontologies