Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Towards increased accuracy and reproducibility in SARS-CoV-2 next generation sequence analysis for public health surveillance

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.03.515010Source: DataRank Database

Towards increased accuracy and reproducibility in SARS-CoV-2 next generation sequence analysis for public health surveillance is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0.292. It has been cited 6 times.

N/A

0.292DataRank · unranked

Scored on demand from live citation data

Open Access6 citations

Download PDF

Cite:

Linked data & code

gen refseq

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: greenTopics (19)IDs (PubMed, OpenAlex)Annotations (2)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.292

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

Learn more about DataRank methodology →

Authors (25)

David A. Yarmosh ORCID,Wolfgang Maier ORCID,Migun Shakya ORCID,Ross Martin ORCID,Rebecca Bradford ORCID

Live enrichment

PubMed:36380755 OpenAlex:https://openalex.org/W4308483185

European Commission

Grant: 101046203

Beyond COVID

European Commission

Grant: 871075

Connect and align ELIXIR Nodes to deliver sustainable FAIR life-science data management services

greenLicense: http://creativecommons.org/publicdomain/zero/1.0/This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license (http://creativecommons.org/publicdomain/zero/1.0/) .

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/11/03/2022.11.03.515010.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.11.03.515010

repositoryhttps://doi.org/10.1101/2022.11.03.515010

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36380755

Fields of Study

Genomics and Phylogenetic StudiesCRISPR and Genetic EngineeringSARS-CoV-2 and COVID-19 Research0301 basic medicine03 medical and health sciences0206 medical engineering02 engineering and technology

Keywords

GenomeComputational biologyNanopore sequencingWhole genome sequencingWorkflowDNA sequencingBiologyData scienceComputer scienceGeneticsGeneArticle

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Partnerships for the goals