Genomic Standards Consortium Projects
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.
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
FAIR Checklist
Context only (not used in score)- Has DOI
- Open Access
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
DataRank Breakdown
Base Score Contribution
0.561
From this paper's citation signal
Citation Network Contribution
0.721
From 19 citing papers with measurable signal
Top 5 citers driving the network score
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
- The minimum information about a genome sequence (MIGS) specificationNature Biotechnology20081,163 citationsDataRank 8.8Top 24%
- Minimum information about a marker gene sequence (MIMARKS) and minimum information about any (x) sequence (MIxS) specificationsNature Biotechnology2011803 citationsDataRank 7.1Top 26%
- The Genomic Standards ConsortiumPLoS Biology2011238 citationsDataRank 0.821
- Community standards for open cell migration dataGigaScience202031 citationsDataRank 1.2Top 41%
- Perceptual and technical barriers in sharing and formatting metadata accompanying omics studiesCell Genomics202511 citationsDataRank 0.373
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.
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