ArticleJournal of integrative bioinformatics2017
Assessing Public Metabolomics Metadata, Towards Improving Quality.
Article in Journal of integrative bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Comparability of Liquid Chromatography Tandem Mass Spectrometry Analysis of Dissolved Organic Matter across Laboratories.Environmental science & technology · 2026Article
- Recommendations for Standardizing Nuclear Medicine Terminology and Data in the Era of Theranostics and Artificial Intelligence.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025Article
- SMetaS: A Sample Metadata Standardizer for Metabolomics.Metabolites · 2023Article
- NeuroLINCS Proteomics: Defining human-derived iPSC proteomes and protein signatures of pluripotency.Scientific data · 2023Article
- Harvesting metadata in clinical care: a crosswalk between FHIR, OMOP, CDISC and openEHR metadata.Scientific data · 2022Article
- Research progress and perspective in metabolism and metabolomics of psoriasis.Chinese medical journal · 2020Article
- Find the Needle in the Haystack, Then Find It Again: Replication and Validation in the 'Omics Era.Metabolites · 2020Review
- PPR-SSM: personalized PageRank and semantic similarity measures for entity linking.BMC bioinformatics · 2019Article
- Metabolomics Analytics Workflow for Epidemiological Research: Perspectives from the Consortium of Metabolomics Studies (COMETS).Metabolites · 2019Article
- BO-LSTM: classifying relations via long short-term memory networks along biomedical ontologies.BMC bioinformatics · 2019Article
- Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations.Scientific reports · 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
4 authors.
Funding
Abstract
Public resources need to be appropriately annotated with metadata in order to make them discoverable, reproducible and traceable, further enabling them to be interoperable or integrated with other datasets. While data-sharing policies exist to promote the annotation process by data owners, these guidelines are still largely ignored. In this manuscript, we analyse automatic measures of metadata quality, and suggest their application as a mean to encourage data owners to increase the metadata quality of their resources and submissions, thereby contributing to higher quality data, improved data sharing, and the overall accountability of scientific publications. We analyse these metadata quality measures in the context of a real-world repository of metabolomics data (i.e. MetaboLights), including a manual validation of the measures, and an analysis of their evolution over time. Our findings suggest that the proposed measures can be used to mimic a manual assessment of metadata quality.
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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.