ArticleGigaScience2021
ISA API: An open platform for interoperable life science experimental metadata.
Article in GigaScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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.
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Who cites it
24 citing papers in PubMed.
- Fragment-level FAIRness: annotating scientific data and its provenance using data fragment selectors.Journal of integrative bioinformatics · 2026Article
- Reviving Data Potential─The Reanalysis-Driven Metabolomics Data Repository MB-POST.Analytical chemistry · 2026Article
- Data Management Workflow for FAIR Sharing of Bioimaging Datasets in Plasma Medicine.Scientific data · 2026Article
- FRED enables standardized FAIR metadata generation and management for omics research.Scientific reports · 2026Article
- AI-integrated microfluidics for drug screening: From single cell to organ-on-a-chip.Acta pharmaceutica Sinica. B · 2026Review
- Improving annotation, access, and comparison of nutritional composition data for underutilized crops.Database : the journal of biological databases and curation · 2026Article
- Achieving bottom-up ethical, legal, and societal implications and responsible research and innovation in the synthetic biology research community from the Japanese context.Frontiers in genetics · 2026Article
- Bioinformatics in crop research: using genomic data for crop improvement.Frontiers in plant science · 2026Review
- Enabling pan-repository reanalysis for big data science of public metabolomics data.Nature communications · 2025Article
- Essential nucleic acid omics: a theoretical foundation for early-stage users.Frontiers in bioinformatics · 2025Review
- FAIR Data Cube, a FAIR data infrastructure for integrated multi-omics data analysis.Journal of biomedical semantics · 2024Article
- Enabling Data Discovery with the Astrobiology Resource Metadata Standard.Astrobiology · 2024Article
- MetaboLights: open data repository for metabolomics.Nucleic acids research · 2024Article
- A multi-omics data analysis workflow packaged as a FAIR Digital Object.GigaScience · 2024Article
- Current state of data stewardship tools in life science.Frontiers in big data · 2024Review
- The metabolomics workbench file status website: a metadata repository promoting FAIR principles of metabolomics data.BMC bioinformatics · 2023Article
- Ten quick tips for avoiding pitfalls in multi-omics data integration analyses.PLoS computational biology · 2023Article
- Mouse Phenome Database: towards a more FAIR-compliant and TRUST-worthy data repository and tool suite for phenotypes and genotypes.Nucleic acids research · 2023Article
- EGAsubmitter: A software to automate submission of nucleic acid sequencing data to the European Genome-phenome Archive.Frontiers in bioinformatics · 2023Article
- Ontologies for increasing the FAIRness of plant research data.Frontiers in plant science · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
Abstract
backgroundThe Investigation/Study/Assay (ISA) Metadata Framework is an established and widely used set of open source community specifications and software tools for enabling discovery, exchange, and publication of metadata from experiments in the life sciences. The original ISA software suite provided a set of user-facing Java tools for creating and manipulating the information structured in ISA-Tab-a now widely used tabular format. To make the ISA framework more accessible to machines and enable programmatic manipulation of experiment metadata, the JSON serialization ISA-JSON was developed.
resultsIn this work, we present the ISA API, a Python library for the creation, editing, parsing, and validating of ISA-Tab and ISA-JSON formats by using a common data model engineered as Python object classes. We describe the ISA API feature set, early adopters, and its growing user community.
conclusionsThe ISA API provides users with rich programmatic metadata-handling functionality to support automation, a common interface, and an interoperable medium between the 2 ISA formats, as well as with other life science data formats required for depositing data in public databases.
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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.