🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge
Demo corpus. Scores are computed on a select set of biomedical paper/datasets and may be inaccurate for papers outside this corpus — DataRank relies on network effects that improve with scale. We aim to expand this into a fully open resource pending additional funding.

Genomic Standards Consortium Projects

Standards in Genomic Sciences(2014)10.4056/sigs.5559680Source: DataRank Database

Genomic Standards Consortium Projects is a research paper published in Standards in Genomic Sciences (2014). On theSindex it has a DataRank of 1.3. It has been cited 41 times, with 21 citing works in its 1-hop citation network.

N/A
1.3DataRank · unranked
1.3
Open Access41 citations · base score 3.7
Cite:
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Abstract

The Genomic Standards Consortium (GSC) is an open-membership community that was founded in 2005 to work towards the development, implementation and harmonization of standards in the field of genomics. Starting with the defined task of establishing a minimal set of descriptions the GSC has evolved into an active standards-setting body that currently has 18 ongoing projects, with additional projects regularly proposed from within and outside the GSC. Here we describe our recently enacted policy for proposing new activities that are intended to be taken on by the GSC, along with the template for proposing such new activities.

Data sources & pipeline
Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring
Enrichment:Pending

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.

      DataRank Breakdown

      Base Score 44%Citation Network 56%

      Base Score Contribution

      0.561

      From this paper's citation signal

      Citation Network Contribution

      0.721

      From 19 citing papers with measurable signal

      Learn more about DataRank methodology →

      Top 5 citers driving the network score

      Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.

      1. The minimum information about a genome sequence (MIGS) specification
        Nature Biotechnology20081,163 citationsDataRank 8.8Top 24%
      2. The Genomic Standards Consortium
        PLoS Biology2011238 citationsDataRank 0.821
      3. Community standards for open cell migration data
        GigaScience202031 citationsDataRank 1.2Top 41%
      Why this DataRank?

      DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 44% comes from its base citations and 56% from the citation network (19 citing papers contributed measurable signal).

      Base score B(p)
      log1p(citation_count) — grows sub-linearly, so a paper with 1,000 citations is not 10× a paper with 100.
      Network N(p)
      Σ over citers of log1p(Cq) ÷ max(outdegreeq, 1). Being cited by a highly-cited paper with few references counts most.
      Damping factor d = 0.85
      DataRank = (1−d)·B(p) + d·N(p) — the two cards above are each already multiplied by their share.
      Self-citations excluded
      Citers sharing any OpenAlex author ID with this paper are filtered out before the network sum.

      Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.

      Read the full methodology →

      Click a node to highlight its connections. Use scroll to zoom. Drag to pan.

      Node colors:CenterData PaperData + Open AccessNon-dataSelected & links| Node size = percentile rank

      Authors (34)

      Peter SterkORCID,Renzo Kottmann,J. Wim De Smet,Linda Amaral-Zettler,Guy CochraneORCID

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