ArticleScientific data2021
An empirical meta-analysis of the life sciences linked open data on the web.
Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Programmatic access to ICTV virus taxonomy through a public ontology API.bioRxiv : the preprint server for biology · 2026Article
- Article
- Artificial intelligence: the human response to approach the complexity of big data in biology.GigaScience · 2025Review
- Computational tools and data integration to accelerate vaccine development: challenges, opportunities, and future directions.Frontiers in immunology · 2025Review
- Snowflake Data Warehouse for Large-Scale and Diverse Biological Data Management and Analysis.Genes · 2024Review
- Generic and queryable data integration schema for transcriptomics and epigenomics studies.Computational and structural biotechnology journal · 2024Article
- Regulus infers signed regulatory relations from few samples' information using discretization and likelihood constraints.PLoS computational biology · 2024Article
- Moving Toward Findable, Accessible, Interoperable, Reusable Practices in Epidemiologic Research.American journal of epidemiology · 2023Article
- Specimen, biological structure, and spatial ontologies in support of a Human Reference Atlas.Scientific data · 2023Article
- Metadata integrity in bioinformatics: Bridging the gap between data and knowledge.Computational and structural biotechnology journal · 2023Review
- A COMPASS for VESPUCCI: A FAIR Way to Explore the Grapevine Transcriptomic Landscape.Frontiers in plant science · 2022Article
- Data platforms for open life sciences-A systematic analysis of management instruments.PloS one · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
While the biomedical community has published several "open data" sources in the last decade, most researchers still endure severe logistical and technical challenges to discover, query, and integrate heterogeneous data and knowledge from multiple sources. To tackle these challenges, the community has experimented with Semantic Web and linked data technologies to create the Life Sciences Linked Open Data (LSLOD) cloud. In this paper, we extract schemas from more than 80 biomedical linked open data sources into an LSLOD schema graph and conduct an empirical meta-analysis to evaluate the extent of semantic heterogeneity across the LSLOD cloud. We observe that several LSLOD sources exist as stand-alone data sources that are not inter-linked with other sources, use unpublished schemas with minimal reuse or mappings, and have elements that are not useful for data integration from a biomedical perspective. We envision that the LSLOD schema graph and the findings from this research will aid researchers who wish to query and integrate data and knowledge from multiple biomedical sources simultaneously on the Web.
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.