ArticlePeerJ2020
The reuse of public datasets in the life sciences: potential risks and rewards.
Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Causal network analysis of omics data using prior knowledge databases.Briefings in bioinformatics · 2025Pooled it
- PXN Unlocks the Power of Public Gene Expression Data Through Cross-Technology Integration.bioRxiv : the preprint server for biology · 2026Article
- Cookbook for plant genome sequences.BMC genomics · 2026Review
- The future is FAIR: a community framework for enhanced data management and data sharing.Database : the journal of biological databases and curation · 2026Article
- Variability in drought gene expression datasets highlights the need for paired physiology and community standardization.Plant physiology · 2026Article
- Integrative Analyses of Individual Patient Genomic-Data to Discover Novel Biomarkers: Application to Cervical Pre-Cancer DNA-Methylation Datasets.Cancer informatics · 2026Article
- Open Science in Undergraduate Medical Education: An International Framework for Transparency, Responsibility, and Professional Identity Formation.Perspectives on medical education · 2026Article
- The Mpox contextual data specification package: a data curation toolkit to support collaborative pathogen genomic surveillance.Microbial genomics · 2026Article
- Dementia Data Landscape 1. Cohorts.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- CoExpPhylo - a novel pipeline for biosynthesis gene discovery.BMC genomics · 2025Article
- Catalyzing computational biology research at an academic institute through an interest network.PLoS computational biology · 2025Article
- Discordant effects of maternal age on the human MII oocyte transcriptome.Molecular human reproduction · 2025Article
- Estimating the deferred value of pathogen genomic data for secondary use.Scientific data · 2025Article
- Researchers' perceptions of the trustworthiness, for reuse purposes, of government health data in Victoria, Australia: Implications for policy and practice.Health information management : journal of the Health Information Management Association of Australia · 2025Article
- Leveraging Administrative Health Databases to Address Health Challenges in Farming Populations: Scoping Review and Bibliometric Analysis (1975-2024).JMIR public health and surveillance · 2025Article
- Datagraphy: toward a systematic approach to dataset discovery.GigaScience · 2025Article
- Article
- Essential nucleic acid omics: a theoretical foundation for early-stage users.Frontiers in bioinformatics · 2025Review
- Identification of long noncoding RNAs (lncRNAs) and co-transcriptional analysis of mRNAs and lncRNAs in transcriptomes ofFrontiers in RNA research · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The 'big data' revolution has enabled novel types of analyses in the life sciences, facilitated by public sharing and reuse of datasets. Here, we review the prodigious potential of reusing publicly available datasets and the associated challenges, limitations and risks. Possible solutions to issues and research integrity considerations are also discussed. Due to the prominence, abundance and wide distribution of sequencing data, we focus on the reuse of publicly available sequence datasets. We define 'successful reuse' as the use of previously published data to enable novel scientific findings. By using selected examples of successful reuse from different disciplines, we illustrate the enormous potential of the practice, while acknowledging the respective limitations and risks. A checklist to determine the reuse value and potential of a particular dataset is also provided. The open discussion of data reuse and the establishment of this practice as a norm has the potential to benefit all stakeholders in the life sciences.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.