ReviewTrends in genetics : TIG2019
Data Lakes, Clouds, and Commons: A Review of Platforms for Analyzing and Sharing Genomic Data.
Review in Trends in genetics : TIG, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
39 citing papers in PubMed.
- Characterizing core outcomes of responsible stewardship for human genomic data in the cloud.BMC medical genomics · 2026Article
- Knowledge preservation in the era of big science and AI: strategies for sustainable scientific research.Nature communications · 2026Review
- DOO: integrated multi-omics resources for deep ocean organisms.Nucleic acids research · 2026Article
- rMAP 2.0: a modular, reproducible, and scalable WDL-Cromwell-Docker workflow for genomic analysis of ESKAPEE pathogens.Bioinformatics advances · 2026Article
- Adaptive Evolution-Inspired Algorithm for Intrusion Detection in Bioinformatics Systems.Evolutionary bioinformatics online · 2026Article
- Ethical governance for genomic data science in the cloud.Nature reviews. Genetics · 2025Article
- Private detection of relatives in forensic genomics using homomorphic encryption.BMC medical genomics · 2024Article
- A multi-dimensional approach to the future of digital research infrastructure for systemic environmental science.Patterns (New York, N.Y.) · 2024Article
- Adapting the open-source Gen3 platform and kubernetes for the NIH HEAL IMPOWR and MIRHIQL clinical trial data commons: Customization, cloud transition, and optimization.Journal of biomedical informatics · 2024Article
- The Pandemic Response Commons.JAMIA open · 2024Article
- NCI Cancer Research Data Commons: Core Standards and Services.Cancer research · 2024Article
- Toward a common standard for data and specimen provenance in life sciences.Learning health systems · 2024Article
- Cardiovascular Care Innovation through Data-Driven Discoveries in the Electronic Health Record.The American journal of cardiology · 2023Review
- Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Data Science and Precision Oncology Nursing: Creating an Analytic Ecosystem to Support Personalized Supportive Care across the Trajectory of Illness.Seminars in oncology nursing · 2023Article
- Accelerating genomic workflows using NVIDIA Parabricks.BMC bioinformatics · 2023Article
- Challenges to Using Big Data in Cancer.Cancer research · 2023Review
- Case Studies for Overcoming Challenges in Using Big Data in Cancer.Cancer research · 2023Review
- Ten lessons for data sharing with a data commons.Scientific data · 2023Article
- Towards self-describing and FAIR bulk formats for biomedical data.PLoS computational biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Data commons collate data with cloud computing infrastructure and commonly used software services, tools, and applications to create biomedical resources for the large-scale management, analysis, harmonization, and sharing of biomedical data. Over the past few years, data commons have been used to analyze, harmonize, and share large-scale genomics datasets. Data ecosystems can be built by interoperating multiple data commons. It can be quite labor intensive to curate, import, and analyze the data in a data commons. Data lakes provide an alternative to data commons and simply provide access to data, with the data curation and analysis deferred until later and delegated to those that access the data. We review software platforms for managing, analyzing, and sharing genomic data, with an emphasis on data commons, but also cover data ecosystems and data lakes.
Indexed as
Identifiers
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.