ArticleF1000Research
Best practice data life cycle approaches for the life sciences.
Article in F1000Research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multi-omics time-series analysis in microbiome research: a systematic review.Briefings in bioinformatics · 2025Pooled it
- How can biological databases support the new UN mechanism for benefit-sharing from digital sequence information?Scientific data · 2026Article
- Assessment of circulating cell-free mitochondrial DNA as a damage associated molecular pattern in predicting severity and mortality of sepsis and septic shock patients.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026Article
- Addressing biomedical data challenges and opportunities to inform a large-scale data lifecycle for enhanced data sharing, interoperability, analysis, and collaboration across stakeholders.Scientific reports · 2025Article
- Navigating the Multiverse: a Hitchhiker's guide to selecting harmonization methods for multimodal biomedical data.Biology methods & protocols · 2025Review
- A study on formalizing the knowledge of data curation activities across different fields.PloS one · 2024Article
- The Pacific Innovations, Knowledge, and Opportunities (PIKO) Program: A Data Lifecycle Research Experience.Hawai'i journal of health & social welfare · 2023Article
- A solution to the challenges of interdisciplinary aggregation and use of specimen-level trait data.iScience · 2022Article
- CORAL: A framework for rigorous self-validated data modeling and integrative, reproducible data analysis.GigaScience · 2022Article
- Article
- Globally Accessible Distributed Data Sharing (GADDS): a decentralized FAIR platform to facilitate data sharing in the life sciences.Bioinformatics (Oxford, England) · 2022Article
- PeakForest: a multi-platform digital infrastructure for interoperable metabolite spectral data and metadata management.Metabolomics : Official journal of the Metabolomic Society · 2022Article
- Human OMICs and Computational Biology Research in Africa: Current Challenges and Prospects.Omics : a journal of integrative biology · 2021Article
- Easyreporting simplifies the implementation of Reproducible Research layers in R software.PloS one · 2021Article
- A data management workflow of biodiversity data from the field to data users.Applications in plant sciences · 2019Article
- PlatformTM, a standards-based data custodianship platform for translational medicine research.Scientific data · 2019Article
- Article
- The Gene Ontology Resource: 20 years and still GOing strong.Nucleic acids research · 2019Article
- Article
- Implementation of informatics for integrating biology and the bedside (i2b2) platform as Docker containers.BMC medical informatics and decision making · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
27 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Throughout history, the life sciences have been revolutionised by technological advances; in our era this is manifested by advances in instrumentation for data generation, and consequently researchers now routinely handle large amounts of heterogeneous data in digital formats. The simultaneous transitions towards biology as a data science and towards a 'life cycle' view of research data pose new challenges. Researchers face a bewildering landscape of data management requirements, recommendations and regulations, without necessarily being able to access data management training or possessing a clear understanding of practical approaches that can assist in data management in their particular research domain. Here we provide an overview of best practice data life cycle approaches for researchers in the life sciences/bioinformatics space with a particular focus on 'omics' datasets and computer-based data processing and analysis. We discuss the different stages of the data life cycle and provide practical suggestions for useful tools and resources to improve data management practices.
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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.