nf-core/pacvar: a pipeline for analyzing long-read PacBio whole genome and repeat expansion sequencing data is a dataset published in Bioinformatics (2025). On theSindex it has a DataRank of 0.334, placing it in the top 51.8% of the data-sharing corpus. It has been cited 3 times, with 2 citing works in its 1-hop citation network. Its calibrated FAIR score is 67/100.
Ranks in the top 52% for downstream scientific impact
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Full FAIR picture · advisory
The headline score is computed from the scored criteria — the fact-shaped checks (a repository, an accession, a licence) that two independent models agree on. The advisory criteria below are real FAIR guidance but rest on judgment calls that models read differently, so they inform without moving the number.
“DOI: 10.5281/zenodo.14813048”
The paper provides a DOI for the pipeline code, which is a persistent identifier in a PID scheme, so it is class 1 (yes). [majority verdict 'yes' (3/5 passes agreed)]
RDA-F1-01D — FAIR Data Maturity Model: 'Data is identified by a persistent identifier' (priorit · RDA-F1-02D — FAIR Data Maturity Model: 'Data is identified by a globally unique identifier' · FsF-F1-02D — F-UJI/FAIRsFAIR: 'Data is assigned a persistent identifier'
The paper names Zenodo as the repository (via the DOI), which is a certified repository. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (2/5 passes agreed)]
RDA-F4-01M — FAIR Data Maturity Model: metadata is offered so it can be harvested and indexed ( · NIH DMS Policy Element 4 (NOT-OD-21-014) — name the repository where data will be archived · NSTC Desirable Characteristics of Data Repositories (2022) — 'Long-Term Sustainability', 'Reten
“nf-core/pacvar is available on nf-core website ( https://nf-co.re/pacvar/ ) and on github ( https://github.com/nf-core/pacvar ) under MIT License (DOI: 10.5281/zenodo.14813048).”
The dataset identifier (DOI) appears only in the body text, not in the reference list, so it is class 2 (partial). [majority verdict 'partial' (3/5 passes agreed)]
FORCE11 Joint Declaration of Data Citation Principles (2014) — data should be cited as a first- · RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes · FsF-F3-01M — F-UJI: 'Metadata includes the identifier of the data it describes'
Advisory · not in the published score
“Data availability nf-core/pacvar is available on nf-core website ( https://nf-co.re/pacvar/ ) and on github ( https://github.com/nf-core/pacvar ) under MIT License (DOI 10.5281/zenodo.14813048 ).”
The statement points to a repository record (Zenodo with DOI) and a code repository, so it is a Colavizza category 3 link to archived data (class 1). [majority verdict 'yes' (3/5 passes agreed)]
Colavizza, Hrynaszkiewicz, Staden, Whitaker & McGillivray (2020), 'The citation advantage of li · Springer Nature research data policy — Data Availability Statements: standard statement templat · RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes
“The nf-core/pacvar pipeline is comprised of three main components: (i) Pre-processing, (ii) Variant Calling and Phasing, and (iii) Repeat Characterization as displayed in Figure 1.”— not found in the paper; verdict downgraded
The paper describes the dataset's components in running prose but does not provide an itemised inventory of files or variables, so it is class 2 (partial). [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (4/5 passes agreed)]
RDA-F2-01M — 'Rich metadata is provided to allow discovery' (priority Essential) · FsF-F2-01M — F-UJI: 'Metadata includes descriptive core elements to support data findability' · FsF-R1-01MD — F-UJI: 'Metadata specifies the content of the data'
“nf-core/pacvar is available on nf-core website ( https://nf-co.re/pacvar/ ) and on github ( https://github.com/nf-core/pacvar ) under MIT License (DOI: 10.5281/zenodo.14813048 )”— not found in the paper; verdict downgraded
The data (pipeline code) is stated to be available on public repositories under an open license with no precondition. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 passes agreed)]
RDA-A1.1-01D — 'Data is accessible through a free access protocol' · FsF-A1-01M — F-UJI: 'Metadata contains access level and access conditions of the data' · NSTC Desirable Characteristics of Data Repositories (2022) — 'Free and Easy Access'
Advisory · not in the published score
“nf-core/pacvar is available on nf-core website ( https://nf-co.re/pacvar/ ) and on github ( https://github.com/nf-core/pacvar ) under MIT License (DOI: 10.5281/zenodo.14813048).”
The paper describes the access action (download from GitHub/Zenodo) but does not apply an explicit access-level label from the standard vocabulary, so it is class 2 (partial). [majority verdict 'partial' (4/5 passes agreed)]
FsF-A1-01M — F-UJI: 'Metadata contains access level and access conditions of the data' · RDA-A1-01M — metadata contains information to enable the user to get access to the data · COAR Controlled Vocabularies — Access Rights v1.0 (open / embargoed / restricted / metadata-onl
The study's data (pipeline code) is not sensitive or human-subject data, so no gatekeeper is named; the criterion is not applicable and defaults to class 3 (no).
NIH Genomic Data Sharing Policy (NOT-OD-14-124) — controlled-access via a Data Access Committee · RDA-A1.2-01D — 'Data is accessible through an access protocol that supports authentication and · NIH DMS Policy Element 5 (NOT-OD-21-014) — Access, Distribution, or Reuse Considerations (conse
The paper does not state any retention period or availability timing for the data, so it is class 3 (no).
NIH DMS Plan Element 4 (NOT-OD-21-014) — Data Preservation, Access, and Associated Timelines · NSTC Desirable Characteristics (2022), Organizational Infrastructure: 'Retention Policy' · RDA-A2-01M — 'Metadata is guaranteed to remain available after data is no longer available'
The paper does not name any file format for the released data (pipeline code), so it is class 3 (no).
FsF-R1.3-02D — F-UJI: 'Data is available in a file format recommended by the target research co · RDA-R1.3-02D — data is expressed in a machine-understandable community standard · RDA-I1-01D — data uses a knowledge representation expressed in a standardised format
Advisory · not in the published score
The paper does not name any data or metadata community standard from FAIRsharing or a manuscript reporting guideline for the data, so it is class 3 (no). [majority verdict 'no' (4/5 passes agreed)]
RDA-R1.3-01M — 'Metadata complies with a community standard' (priority Essential) · RDA-R1.3-01D — 'Data complies with a community standard' · RDA-I2-01M — '(Meta)data use vocabularies that follow FAIR principles'
The paper does not provide identifiers for any external resources other than its own dataset; it only cites literature without DOIs for data resources, so it is class 3 (no).
RDA-I3-01M — '(meta)data include references to other (meta)data' · RDA-I3-03M — 'metadata includes qualified references to other metadata' · FsF-I3-01M — F-UJI: 'Metadata includes links between the data and its related entities'
“MIT License”
The paper attaches the MIT License, an SPDX-listed open standard licence, to the data, so it is class 1 (yes). [majority verdict 'yes' (3/5 passes agreed)]
RDA-R1.1-01M — 'Metadata includes information about the licence under which the data can be reu · RDA-R1.1-02M — 'Metadata refers to a standard reuse licence' · RDA-R1.1-03M — 'Metadata refers to a machine-understandable reuse licence'
The paper does not provide a version token or a date for the data snapshot, so it is class 3 (no). [majority verdict 'no' (3/5 passes agreed)]
DataCite Metadata Schema 4.6 — the 'Version' property · RDA-R1.2-01M — provenance information (which version was used is provenance) · NSTC Desirable Characteristics of Data Repositories (2022) — 'Provenance', 'Retention Policy'
“https://github.com/nf-core/pacvar”
The paper gives a machine-resolvable code repository URL and a DOI, so it is class 1 (yes). [majority verdict 'yes' (3/5 passes agreed)]
NIH DMS Policy Element 2 (NOT-OD-21-014) — 'Related Tools, Software and/or Code' · FAIR4RS Principles v1.0 (Chue Hong et al., 2022; RDA/FORCE11/ReSA) — FAIR Principles for Resear · FORCE11 Software Citation Principles (Smith, Katz & Niemeyer, 2016, PeerJ CS 2:e86)
“K08-NS112330KO8”
The paper includes an award/grant number from a named funder, so it is class 1 (yes). [majority verdict 'yes' (3/5 passes agreed)]
DataCite Metadata Schema 4.6 — 'FundingReference' property (funderName, funderIdentifier, award · Crossref Funder Registry — canonical funder identifiers for funding metadata · RDA-F2-01M — rich metadata provided to allow discovery (funding is part of the descriptive reco
Advisory · not in the published score
The paper describes the pipeline's functionality but does not name specific instruments, kits, or software used to produce the data (the pipeline code itself). [majority verdict 'no' (3/5 passes agreed)]
RDA-R1.2-01M — 'Metadata includes provenance information according to community- specific standa · FsF-R1.2-01M — F-UJI: 'Metadata includes provenance information about data creation or generati · W3C PROV-O (W3C Recommendation, 2013) — the entity/activity/agent model of provenance
The paper does not name a documentation object (e.g., README, codebook) that travels with the data, and no variable-definition table exists inside the article, so it is class 3 (no).
RDA-R1-01M — '(Meta)data are richly described with a plurality of accurate and relevant attribu · FsF-R1-01MD — F-UJI: 'Metadata specifies the content of the data' · NIH DMS Policy Element 3 (NOT-OD-21-014) — Standards (documentation and metadata to accompany t
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
0.208
From this paper's citation signal
Citation Network Contribution
0.127
From 2 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 2 citers.
NINDS NIH HHS
Grant: K08 NS112330
NINDS NIH HHS
Grant: U01 NS134062
Rainwater Charitable Trust
Weill Institute for Neurosciences
FWCI
1.24
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals