{"doi":"10.1016/j.xgen.2023.100303","title":"exRNA-eCLIP intersection analysis reveals a map of extracellular RNA binding proteins and associated RNAs across major human biofluids and carriers","abstract":"Although the role of RNA binding proteins (RBPs) in extracellular RNA (exRNA) biology is well established, their exRNA cargo and distribution across biofluids are largely unknown. To address this gap, we extend the exRNA Atlas resource by mapping exRNAs carried by extracellular RBPs (exRBPs). This map was developed through an integrative analysis of ENCODE enhanced crosslinking and immunoprecipitation (eCLIP) data (150 RBPs) and human exRNA profiles (6,930 samples). Computational analysis and experimental validation identified exRBPs in plasma, serum, saliva, urine, cerebrospinal fluid, and cell-culture-conditioned medium. exRBPs carry exRNA transcripts from small non-coding RNA biotypes, including microRNA (miRNA), piRNA, tRNA, small nuclear RNA (snRNA), small nucleolar RNA (snoRNA), Y RNA, and lncRNA, as well as protein-coding mRNA fragments. Computational deconvolution of exRBP RNA cargo reveals associations of exRBPs with extracellular vesicles, lipoproteins, and ribonucleoproteins across human biofluids. Overall, we mapped the distribution of exRBPs across human biofluids, presenting a resource for the community.","journal":"Cell Genomics","year":2023,"id":336161,"datarank":0.6705533284712712,"base_score":2.995732273553991,"endowment":2.995732273553991,"self_citation_contribution":0.4493598410330987,"citation_network_contribution":0.2211934874381726,"self_endowment_contribution":0.4493598410330987,"citer_contribution":0.2211934874381726,"corpus_percentile":70.2328459812795,"corpus_rank":3849,"citation_count":19,"citer_count":13,"citers_with_citation_signal":11,"citers_with_endowment":11,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.8186,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":64.5833,"fair_percentile":85.7841638642617,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":886870,"name":"Alessandra Stürchler","orcid":"0000-0001-6347-6207","position":1,"is_corresponding":false},{"id":584255,"name":"Robert Fullem","orcid":"0000-0003-0141-7767","position":2,"is_corresponding":false},{"id":32911,"name":"David Chen","orcid":"0000-0001-5531-9180","position":3,"is_corresponding":false},{"id":1067083,"name":"Anne C Starner","orcid":null,"position":4,"is_corresponding":false},{"id":511495,"name":"Emmanuel Esquivel","orcid":"0000-0003-1219-2508","position":5,"is_corresponding":false},{"id":237810,"name":"Eric Alsop","orcid":"0000-0002-2717-7573","position":6,"is_corresponding":false},{"id":606310,"name":"Andrew R. Jackson","orcid":null,"position":7,"is_corresponding":false},{"id":226792,"name":"Ionita Ghiran","orcid":"0000-0001-6655-3298","position":8,"is_corresponding":false},{"id":1067084,"name":"Getulio Pereira","orcid":null,"position":9,"is_corresponding":false},{"id":11731,"name":"Joel Rozowsky","orcid":"0000-0002-3565-0762","position":10,"is_corresponding":false},{"id":979184,"name":"Justin Chang","orcid":"0000-0003-1486-2261","position":11,"is_corresponding":false},{"id":108504,"name":"Mark Gerstein","orcid":"0000-0002-9746-3719","position":12,"is_corresponding":false},{"id":16314,"name":"Roger P. Alexander","orcid":"0000-0002-2967-7395","position":13,"is_corresponding":false},{"id":257531,"name":"Matthew E. Roth","orcid":"0000-0001-5235-3789","position":14,"is_corresponding":false},{"id":86852,"name":"Jeffrey L. Franklin","orcid":"0000-0002-7111-4449","position":15,"is_corresponding":false},{"id":86857,"name":"Robert J. Coffey","orcid":"0000-0002-2180-3844","position":16,"is_corresponding":false},{"id":237818,"name":"Robert L. Raffaı̈","orcid":"0000-0002-5442-3055","position":17,"is_corresponding":false},{"id":828779,"name":"Isabelle M. Mansuy","orcid":"0000-0001-7785-5371","position":18,"is_corresponding":false},{"id":708973,"name":"Stavros Stavrakis","orcid":"0000-0002-0888-5953","position":19,"is_corresponding":false},{"id":676446,"name":"Andrew J. deMello","orcid":"0000-0003-1943-1356","position":20,"is_corresponding":false},{"id":105299,"name":"Louise C. Laurent","orcid":"0000-0002-2095-7534","position":21,"is_corresponding":false},{"id":291294,"name":"Yi-Ting Wang","orcid":"0000-0001-7509-2016","position":22,"is_corresponding":false},{"id":281289,"name":"Chia‐Feng Tsai","orcid":"0000-0002-6514-6911","position":23,"is_corresponding":false},{"id":453054,"name":"Tao Liu","orcid":"0000-0001-6244-7316","position":24,"is_corresponding":false},{"id":226807,"name":"Jennifer Jones","orcid":"0000-0002-9488-7719","position":25,"is_corresponding":false},{"id":237817,"name":"Kendall Van Keuren‐Jensen","orcid":"0000-0001-8833-6323","position":26,"is_corresponding":false},{"id":992802,"name":"Eric Van Nostrand","orcid":null,"position":27,"is_corresponding":false},{"id":886853,"name":"Bogdan Mateescu","orcid":"0000-0002-0937-352X","position":28,"is_corresponding":false},{"id":62231,"name":"Aleksandar Milosavljevic","orcid":"0000-0001-5482-2825","position":29,"is_corresponding":false},{"id":387787,"name":"Emily L. LaPlante","orcid":"0000-0002-4044-7187","position":0,"is_corresponding":true}],"reference_count":34,"raw_metadata":null,"created_at":"2026-07-19T01:10:17.243221Z","pmid":"37228754","pmcid":"PMC10203258","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":72.2222,"fair_a":81.25,"fair_i":20.0,"fair_r":54.1667,"fair_zscore":1.1927,"fair_rationale":{"fair_score":64.58,"has_llm":true,"taxonomy_version":"fair_taxonomy_v5","dimensions":{"F":{"name":"Findable","score":72.22,"criteria":[{"key":"f_dataset_pid","label":"Persistent identifier for the data","kind":"llm","weight":2.0,"fraction":0.5,"verdict":"partial","evidence":"All generated exRNA/RBP intersect data are available via the exRNA atlas: https://www.exrna-atlas.org","grounded":true,"rationale":"The only identifier for the data is a URL (exRNA Atlas link), not a persistent identifier scheme.","anchors":["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'"],"scored":true,"signal":null},{"key":"f_repository_named","label":"Named repository","kind":"llm","weight":2.0,"fraction":1.0,"verdict":"yes","evidence":"All generated exRNA/RBP intersect data are available via the exRNA atlas: https://www.exrna-atlas.org","grounded":true,"rationale":"The exRNA Atlas is a named data repository that holds the data. [majority verdict 'yes' (3/5 passes agreed)]","anchors":["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"],"scored":true,"signal":null},{"key":"f_data_availability_statement","label":"Data-availability statement","kind":"llm","weight":2.0,"fraction":1.0,"verdict":"yes","evidence":"All generated exRNA/RBP intersect data are available via the exRNA atlas: https://www.exrna-atlas.org in the Post Processed Results Files and are publicly available as of the date of publication.","grounded":true,"rationale":"The statement points at a repository record with a persistent link [majority verdict 'yes' (4/5 passes agreed)]","anchors":["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"],"scored":false,"signal":null},{"key":"f_discovery_metadata","label":"Description of the dataset as an object","kind":"llm","weight":2.0,"fraction":0.5,"verdict":"partial","evidence":"endogenousAlignments_genome_Aligned.bedgraph.intersect_RBP_all_combined.bed.xz (CORE RESULTS) – This archive has files that show where a single sample binds across all RBP regions.","grounded":false,"rationale":"The STAR Methods section itemises the deposited files and their contents. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 passes agreed)]","anchors":["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'"],"scored":false,"signal":null},{"key":"f_dataset_cited","label":"Dataset formally cited","kind":"llm","weight":1.0,"fraction":0.5,"verdict":"partial","evidence":"All generated exRNA/RBP intersect data are available via the exRNA atlas: https://www.exrna-atlas.org","grounded":true,"rationale":"The dataset's identifier (a URL) appears only in the body text, not as a reference-list entry.","anchors":["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'"],"scored":true,"signal":null}]},"A":{"name":"Accessible","score":81.25,"criteria":[{"key":"a_data_openly_accessible","label":"Access route free of preconditions","kind":"llm","weight":2.0,"fraction":1.0,"verdict":"yes","evidence":"All generated exRNA/RBP intersect data are available via the exRNA atlas: https://www.exrna-atlas.org in the Post Processed Results Files and are publicly available as of the date of publication.","grounded":true,"rationale":"The text gives a route to the data with no stated precondition.","anchors":["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'"],"scored":true,"signal":null},{"key":"a_access_conditions_stated","label":"Access level labelled","kind":"llm","weight":1.0,"fraction":1.0,"verdict":"yes","evidence":"publicly available as of the date of publication","grounded":true,"rationale":"The paper states the data are publicly available, which is an explicit access-level label.","anchors":["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"],"scored":false,"signal":null},{"key":"a_controlled_access_for_sensitive","label":"Gatekeeper for sensitive data","kind":"llm","weight":0.5,"fraction":0.0,"verdict":"no","evidence":"publicly available as of the date of publication","grounded":true,"rationale":"The data are human-subject biofluids but are openly available with no gatekeeper named, so the paper does not name any gatekeeper.","anchors":["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"],"scored":false,"signal":null},{"key":"a_timeline_retention","label":"Availability timing & retention","kind":"llm","weight":0.5,"fraction":0.5,"verdict":"partial","evidence":"publicly available as of the date of publication","grounded":true,"rationale":"The paper states when the data become available but says nothing about how long they will persist.","anchors":["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'"],"scored":false,"signal":null}]},"I":{"name":"Interoperable","score":20.0,"criteria":[{"key":"i_open_nonproprietary_format","label":"Open file format","kind":"llm","weight":1.0,"fraction":0.5,"verdict":"partial","evidence":"bedGraphs","grounded":false,"rationale":"The paper names bedGraph, an open, community-standard format. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 passes agreed)]","anchors":["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"],"scored":true,"signal":null},{"key":"i_community_standard_vocabulary","label":"Community standard / vocabulary","kind":"llm","weight":1.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No data or metadata community standard is named for the data; only generic resources like Gencode are mentioned.","anchors":["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'"],"scored":false,"signal":null},{"key":"i_qualified_references","label":"Identifiers for the resources the data depend on","kind":"llm","weight":0.5,"fraction":0.0,"verdict":"no","evidence":"https://www.encodeproject.org/encore-matrix/?type=Experiment&status=released&internal_tags=ENCORE","grounded":false,"rationale":"The paper provides a URL identifier for the ENCODE eCLIP data that the study used. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (4/5 passes agreed)]","anchors":["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'"],"scored":false,"signal":null}]},"R":{"name":"Reusable","score":54.17,"criteria":[{"key":"r_reuse_license","label":"Reuse licence","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No licence for the data is mentioned; the CC BY licence applies only to the article.","anchors":["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'"],"scored":true,"signal":null},{"key":"r_provenance_methods","label":"Provenance of the data","kind":"llm","weight":1.0,"fraction":1.0,"verdict":"yes","evidence":"Samtools 1.3.1","grounded":true,"rationale":"The paper names specific software used to produce the data [majority verdict 'yes' (4/5 passes agreed)]","anchors":["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"],"scored":false,"signal":null},{"key":"r_documentation_codebook","label":"Documentation / codebook","kind":"llm","weight":1.0,"fraction":0.5,"verdict":"partial","evidence":"d endogenousAlignments_genome_Aligned.bedgraph.intersect_RBP_all_combined.bed.xz (CORE RESULTS) B This archive has files that show where a single sample binds across all RBP regions.","grounded":true,"rationale":"The file descriptions are inside the article, not as a separate documentation object shipped with the data. 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'Free to use' is not a licence: it grants nothing a reuser's institution can rely on.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No licence for the data is mentioned; the CC BY licence applies only to the article.","gain":16.67,"priority":"essential","scored":true},{"key":"f_dataset_pid","dimension":"F","label":"Persistent identifier for the data","action":"Mint or cite a persistent identifier for the dataset — a repository DOI or an accession from a registered repository — and print it in the paper. A bare URL is not persistent: it is the single most common cause of a dead data link five years after publication. For genomics / sequencing data, deposit in GEO (GSE accession), SRA (SRP/SRR) or ENA/BioProject (PRJEB/PRJNA).","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"All generated exRNA/RBP intersect data are available via the exRNA atlas: https://www.exrna-atlas.org","why":"The only identifier for the data is a URL (exRNA Atlas link), not a persistent identifier scheme.","gain":8.33,"priority":"essential","scored":true},{"key":"f_dataset_cited","dimension":"F","label":"Dataset formally cited","action":"Cite the dataset in the reference list like a publication — creator, year, title, repository, DOI/accession — and cite it in-text where it is used. Only a reference- list entry is machine-readable to Crossref/DataCite, and only a citation lets the data earn credit. Cite the genomics / sequencing repository accession (e.g. from GEO (GSE accession), SRA (SRP/SRR) or ENA/BioProject (PRJEB/PRJNA)) in the reference list.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"All generated exRNA/RBP intersect data are available via the exRNA atlas: https://www.exrna-atlas.org","why":"The dataset's identifier (a URL) appears only in the body text, not as a reference-list entry.","gain":4.17,"priority":"important","scored":true},{"key":"i_open_nonproprietary_format","dimension":"I","label":"Open file format","action":"Release the data in an open, community-standard format (CSV/TSV, JSON, HDF5, NetCDF, FASTQ, VCF, NIfTI…) instead of — or alongside — any proprietary or instrument-native format, and name the format in the paper. A dataset that needs a €2,000 licence to open is not reusable. Prefer open genomics / sequencing formats such as FASTQ, BAM or VCF.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"bedGraphs","why":"The paper names bedGraph, an open, community-standard format. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 passes agreed)]","gain":4.17,"priority":"important","scored":true},{"key":"r_versioning","dimension":"R","label":"Snapshot identified","action":"Version the deposit and cite the exact version analysed (a version-specific DOI, or an accession with its version suffix). A reader reproducing your work against 'the current release' is reproducing it against a different dataset.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"publicly available as of the date of publication","why":"The paper provides a date (publication date) but no version token for the data.","gain":2.08,"priority":"useful","scored":true},{"key":"f_discovery_metadata","dimension":"F","label":"Description of the dataset as an object","action":"Add a 'Data Records' section: itemise every file in the deposit and every variable or sample it holds, with counts and units. Describe the dataset as an object in its own right, not as a by-product of the findings — this is what makes it discoverable to someone who is not looking for your paper.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"endogenousAlignments_genome_Aligned.bedgraph.intersect_RBP_all_combined.bed.xz (CORE RESULTS) – This archive has files that show where a single sample binds across all RBP regions.","why":"The STAR Methods section itemises the deposited files and their contents. 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In genomics / sequencing, describe the data with MIAME, MINSEQE or MIxS.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No data or metadata community standard is named for the data; only generic resources like Gencode are mentioned.","gain":0.0,"priority":"important","scored":false},{"key":"r_documentation_codebook","dimension":"R","label":"Documentation / codebook","action":"Ship a README and a data dictionary IN the deposit — every file, every variable, its units, its allowed values, its missing-value codes. It is the cheapest single thing that makes a dataset usable by someone who was not in the lab, and a table buried in the article does not travel with the data.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"d endogenousAlignments_genome_Aligned.bedgraph.intersect_RBP_all_combined.bed.xz (CORE RESULTS) B This archive has files that show where a single sample binds across all RBP regions.","why":"The file descriptions are inside the article, not as a separate documentation object shipped with the data. [majority verdict 'partial' (3/5 passes agreed)]","gain":0.0,"priority":"important","scored":false},{"key":"a_controlled_access_for_sensitive","dimension":"A","label":"Gatekeeper for sensitive data","action":"Route sensitive data through an institutional gatekeeper — deposit in a controlled- access repository (dbGaP, EGA) with a Data Access Committee and a published DUA — rather than through the corresponding author's inbox. An author-gated dataset dies with the author's email address, and 'on reasonable request' has been shown repeatedly not to yield data. For sensitive/human genomics / sequencing data, use a controlled-access repository such as dbGaP or EGA.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":"publicly available as of the date of publication","why":"The data are human-subject biofluids but are openly available with no gatekeeper named, so the paper does not name any gatekeeper.","gain":0.0,"priority":"useful","scored":false},{"key":"i_qualified_references","dimension":"I","label":"Identifiers for the resources the data depend on","action":"Cite by identifier every resource the data depend on — the source datasets' accessions, the reference build (GRCh38 / GCA_000001405.28), the cohort application number, the code DOI — and register those relations on the dataset record (IsDerivedFrom, IsSupplementTo). A name is not a link: it cannot be resolved, versioned, or followed by a machine.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":"https://www.encodeproject.org/encore-matrix/?type=Experiment&status=released&internal_tags=ENCORE","why":"The paper provides a URL identifier for the ENCODE eCLIP data that the study used. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (4/5 passes agreed)]","gain":0.0,"priority":"useful","scored":false},{"key":"a_timeline_retention","dimension":"A","label":"Availability timing & retention","action":"State when the data become available AND how long they will be retained — cite the repository's preservation policy. NIH DMS Element 4 asks for both; most papers give neither.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"publicly available as of the date of publication","why":"The paper states when the data become available but says nothing about how long they will persist.","gain":0.0,"priority":"useful","scored":false}],"suggestions":["Attach a standard, machine-readable open licence to the deposit — CC0 or CC BY, which is what Horizon Europe and most funders expect — and print the licence identifier in the paper. 'Free to use' is not a licence: it grants nothing a reuser's institution can rely on.","Mint or cite a persistent identifier for the dataset — a repository DOI or an accession from a registered repository — and print it in the paper. A bare URL is not persistent: it is the single most common cause of a dead data link five years after publication. For genomics / sequencing data, deposit in GEO (GSE accession), SRA (SRP/SRR) or ENA/BioProject (PRJEB/PRJNA).","Cite the dataset in the reference list like a publication — creator, year, title, repository, DOI/accession — and cite it in-text where it is used. Only a reference- list entry is machine-readable to Crossref/DataCite, and only a citation lets the data earn credit. Cite the genomics / sequencing repository accession (e.g. from GEO (GSE accession), SRA (SRP/SRR) or ENA/BioProject (PRJEB/PRJNA)) in the reference list.","Release the data in an open, community-standard format (CSV/TSV, JSON, HDF5, NetCDF, FASTQ, VCF, NIfTI…) instead of — or alongside — any proprietary or instrument-native format, and name the format in the paper. A dataset that needs a €2,000 licence to open is not reusable. Prefer open genomics / sequencing formats such as FASTQ, BAM or VCF.","Version the deposit and cite the exact version analysed (a version-specific DOI, or an accession with its version suffix). A reader reproducing your work against 'the current release' is reproducing it against a different dataset."],"model":"deepseek/deepseek-v4-flash","agent_version":"fair_agent_v8","fulltext_source":"unpaywall_pdf"},"fair_model":"deepseek/deepseek-v4-flash","fair_agent_version":"fair_agent_v8","fair_fulltext_source":"unpaywall_pdf","fair_has_llm":true,"fair_computed_at":"2026-07-20T11:56:34.904116Z","clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}