{"doi":"10.1371/journal.pone.0151771","title":"miTALOS v2: Analyzing Tissue Specific microRNA Function","abstract":"MicroRNAs are involved in almost all biological processes and have emerged as regulators of signaling pathways. We show that miRNA target genes and pathway genes are not uniformly expressed across human tissues. To capture tissue specific effects, we developed a novel methodology for tissue specific pathway analysis of miRNAs. We incorporated the most recent and highest quality miRNA targeting data (TargetScan and StarBase), RNA-seq based gene expression data (EBI Expression Atlas) and multiple new pathway data sources to increase the biological relevance of the predicted miRNA-pathway associations. We identified new potential roles of miR-199a-3p, miR-199b-3p and the miR-200 family in hepatocellular carcinoma, involving the regulation of metastasis through MAPK and Wnt signaling. Also, an association of miR-571 and Notch signaling in liver fibrosis was proposed. To facilitate data update and future extensions of our tool, we developed a flexible database backend using the graph database neo4j. The new backend as well as the novel methodology were included in the updated miTALOS v2, a tool that provides insights into tissue specific miRNA regulation of biological pathways. miTALOS v2 is available at http://mips.helmholtz-muenchen.de/mitalos.","journal":"PLOS ONE","year":2016,"id":661,"datarank":3.084580950155476,"base_score":4.356708826689592,"endowment":4.356708826689592,"self_citation_contribution":0.6535063240034389,"citation_network_contribution":2.431074626152037,"self_endowment_contribution":0.6535063240034389,"citer_contribution":2.431074626152037,"corpus_percentile":92.82122688945617,"corpus_rank":929,"citation_count":77,"citer_count":75,"citers_with_citation_signal":63,"citers_with_endowment":63,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.5345,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2016-03-21","fair_score":41.6667,"fair_percentile":54.173035768878016,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":42,"name":"Fabian Joachim Theis","orcid":"0000-0002-2419-1943","position":1,"is_corresponding":false},{"id":5186,"name":"Nikola S. Mueller","orcid":"0000-0001-8659-4548","position":2,"is_corresponding":false},{"id":6512,"name":"Martin Preusse","orcid":"0000-0003-4789-0592","position":0,"is_corresponding":true}],"reference_count":55,"raw_metadata":null,"created_at":"2026-03-01T18:20:47.508186Z","pmid":"26998997","pmcid":"PMC4801359","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":"gold","license":"cc-by","views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":38.8889,"fair_a":50.0,"fair_i":0.0,"fair_r":16.6667,"fair_zscore":0.2857,"fair_rationale":{"fair_score":41.67,"has_llm":true,"taxonomy_version":"fair_taxonomy_v5","dimensions":{"F":{"name":"Findable","score":38.89,"criteria":[{"key":"f_dataset_pid","label":"Persistent identifier for the data","kind":"llm","weight":2.0,"fraction":0.5,"verdict":"partial","evidence":"MiTALOS v2 is available at http://mips.helmholtz-muenchen.de/mitalos","grounded":true,"rationale":"The paper gives a web address (URL) for the data, not a string in a persistent-identifier scheme (DOI, Handle, ARK, URN, or repository accession).","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":0.5,"verdict":"partial","evidence":"All relevant data are in the paper and on the web application described in the article: http://mips.helmholtz-muenchen.de/mitalos","grounded":true,"rationale":"The data are hosted on a web application, not a named data repository. [majority verdict 'partial' (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":0.5,"verdict":"partial","evidence":"All relevant data are in the paper and on the web application described in the article: http://mips.helmholtz-muenchen.de/mitalos","grounded":true,"rationale":"The statement points to the article and a web application, not to a repository record (Colavizza category 2).","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":0.0,"verdict":"no","evidence":"We downloaded and integrated computational target prediction data from TargetScan 6.2 and miRanda. We also added miRNA-target interaction data of CLIP-seq studies from StarBase v2. Pathway data was extracted from KEGG, Reactome and WikiPathways.","grounded":false,"rationale":"The paper describes the dataset's content in running prose, not in an itemized inventory (section, table, or enumerated list) that names files, records, variables, or samples. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (2/5 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":"MiTALOS v2 is available at http://mips.helmholtz-muenchen.de/mitalos","grounded":true,"rationale":"The dataset's identifier (URL) appears only in the body text, not as a reference-list entry. [majority verdict 'partial' (4/5 passes agreed)]","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":50.0,"criteria":[{"key":"a_data_openly_accessible","label":"Access route free of preconditions","kind":"llm","weight":2.0,"fraction":1.0,"verdict":"yes","evidence":"MiTALOS v2 is available at http://mips.helmholtz-muenchen.de/mitalos","grounded":true,"rationale":"The paper provides a direct route to the data (the web application) 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":0.0,"verdict":"no","evidence":"MiTALOS v2 is available at http://mips.helmholtz-muenchen.de/mitalos","grounded":true,"rationale":"The paper does not apply any explicit access-level label (e.g., 'open access', 'freely available') to the data; it only states where the data can be found. [majority verdict 'no' (3/5 passes agreed)]","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":"All relevant data are in the paper and on the web application described in the article: http://mips.helmholtz-muenchen.de/mitalos","grounded":true,"rationale":"The data are not sensitive or human-subject, and no gatekeeper of any kind is named.","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":0.0,"verdict":"no","evidence":"All relevant data are in the paper and on the web application described in the article: http://mips.helmholtz-muenchen.de/mitalos","grounded":true,"rationale":"The paper does not mention any retention period, archival commitment, or availability timing for the data.","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":0.0,"criteria":[{"key":"i_open_nonproprietary_format","label":"Open file format","kind":"llm","weight":1.0,"fraction":0.0,"verdict":"no","evidence":"The integrated database backend is uses a neo4j graph database (v2.3.1).","grounded":true,"rationale":"No file format for the released data is named; the database backend is mentioned but not the format of the data files.","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":"We downloaded and integrated computational target prediction data from TargetScan 6.2 and miRanda. We also added miRNA-target interaction data of CLIP-seq studies from StarBase v2. Pathway data was extracted from KEGG, Reactome and WikiPathways.","grounded":false,"rationale":"The paper names databases (KEGG, Reactome, WikiPathways) but does not claim that its own data complies with a community standard (e.g., MIAME, ISA-Tab, an ontology).","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":"All relevant data are in the paper and on the web application described in the article: http://mips.helmholtz-muenchen.de/mitalos","grounded":true,"rationale":"No identifier for any external resource other than the paper's own dataset is provided; the paper cites references but does not give accessions or DOIs for the data sources used. [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":16.67,"criteria":[{"key":"r_reuse_license","label":"Reuse licence","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":"This is an open access article distributed under the terms of the Creative Commons Attribution License","grounded":true,"rationale":"The only license mentioned is for the article, not for the data; no license is attached to the data itself.","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":0.5,"verdict":"partial","evidence":"We downloaded and integrated computational target prediction data from TargetScan 6.2 and miRanda. 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[downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (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":0.0,"verdict":"no","evidence":"All relevant data are in the paper and on the web application described in the article: http://mips.helmholtz-muenchen.de/mitalos","grounded":true,"rationale":"No documentation object (README, data dictionary, codebook, schema file) is mentioned as travelling with the data. [majority verdict 'no' (3/5 passes agreed)]","anchors":["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"],"scored":false,"signal":null},{"key":"r_versioning","label":"Snapshot identified","kind":"llm","weight":0.5,"fraction":0.0,"verdict":"no","evidence":"We downloaded and integrated computational target prediction data from TargetScan 6.2 and miRanda.","grounded":false,"rationale":"Versions of underlying data sources are given, but no version token or date is provided for the study's own integrated dataset.","anchors":["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'"],"scored":true,"signal":null},{"key":"x_code_availability","label":"Analysis code available","kind":"llm","weight":1.0,"fraction":0.0,"verdict":"no","evidence":"MiTALOS v2 is available at http://mips.helmholtz-muenchen.de/mitalos","grounded":true,"rationale":"The paper gives a URL for the web application, not a code repository URL, archive DOI, or package identifier for the code.","anchors":["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)"],"scored":true,"signal":null},{"key":"x_funding_attribution","label":"Funder and award number","kind":"llm","weight":0.5,"fraction":1.0,"verdict":"yes","evidence":"Deutsche Forschungsgemeinschaft (InKoMBio: FKZ TH 900/3-2) to MP, an ERC starting grant award (LatentCauses) to FJT and Deutsche Forschungsgemeinschaft (PsyCourse: FI 981/9-1) to NSM.","grounded":true,"rationale":"Award/grant numbers are provided for two of the three funders, satisfying the requirement for an alphanumeric award identifier. [majority verdict 'yes' (4/5 passes agreed)]","anchors":["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"],"scored":true,"signal":null}]}},"actions":[{"key":"r_reuse_license","dimension":"R","label":"Reuse licence","action":"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.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":"This is an open access article distributed under the terms of the Creative Commons Attribution License","why":"The only license mentioned is for the article, not for the data; no license is attached to the data itself.","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":"MiTALOS v2 is available at http://mips.helmholtz-muenchen.de/mitalos","why":"The paper gives a web address (URL) for the data, not a string in a persistent-identifier scheme (DOI, Handle, ARK, URN, or repository accession).","gain":8.33,"priority":"essential","scored":true},{"key":"f_repository_named","dimension":"F","label":"Named repository","action":"Deposit the data in a repository registered in re3data/FAIRsharing (a domain repository such as GEO, SRA, dbGaP, PRIDE, or a generalist such as Zenodo, Dryad, Dataverse) and name it explicitly in the paper. A lab website is not an archive: it has no retention commitment and no accession. 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 relevant data are in the paper and on the web application described in the article: http://mips.helmholtz-muenchen.de/mitalos","why":"The data are hosted on a web application, not a named data repository. [majority verdict 'partial' (3/5 passes agreed)]","gain":8.33,"priority":"essential","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":"no","current":0.0,"evidence":"The integrated database backend is uses a neo4j graph database (v2.3.1).","why":"No file format for the released data is named; the database backend is mentioned but not the format of the data files.","gain":8.33,"priority":"important","scored":true},{"key":"x_code_availability","dimension":"R","label":"Analysis code available","action":"Publish the analysis code in a public forge, archive a tagged release with a DOI (Zenodo/Software Heritage), and cite that DOI in the paper. NIH DMS Element 2 asks for the tools and code, not only the data — and 'available on request' is not a locator. Archive the analysis code in a versioned repository (GitHub + a Zenodo release DOI).","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":"MiTALOS v2 is available at http://mips.helmholtz-muenchen.de/mitalos","why":"The paper gives a URL for the web application, not a code repository URL, archive DOI, or package identifier for the code.","gain":8.33,"priority":"important","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":"MiTALOS v2 is available at http://mips.helmholtz-muenchen.de/mitalos","why":"The dataset's identifier (URL) appears only in the body text, not as a reference-list entry. [majority verdict 'partial' (4/5 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). 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This is the only DAS class associated with a measured citation advantage; 'available on reasonable request' and 'within the article' are not.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"All relevant data are in the paper and on the web application described in the article: http://mips.helmholtz-muenchen.de/mitalos","why":"The statement points to the article and a web application, not to a repository record (Colavizza category 2).","gain":0.0,"priority":"essential","scored":false},{"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":"no","current":0.0,"evidence":"We downloaded and integrated computational target prediction data from TargetScan 6.2 and miRanda. We also added miRNA-target interaction data of CLIP-seq studies from StarBase v2. Pathway data was extracted from KEGG, Reactome and WikiPathways.","why":"The paper describes the dataset's content in running prose, not in an itemized inventory (section, table, or enumerated list) that names files, records, variables, or samples. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (2/5 passes agreed)]","gain":0.0,"priority":"essential","scored":false},{"key":"a_access_conditions_stated","dimension":"A","label":"Access level labelled","action":"State the access level in words, using the standard vocabulary: 'These data are open access' / 'These data are controlled access'. A reader — and a harvester — should not have to infer the access level from the presence of a download link.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":"MiTALOS v2 is available at http://mips.helmholtz-muenchen.de/mitalos","why":"The paper does not apply any explicit access-level label (e.g., 'open access', 'freely available') to the data; it only states where the data can be found. [majority verdict 'no' (3/5 passes agreed)]","gain":0.0,"priority":"important","scored":false},{"key":"i_community_standard_vocabulary","dimension":"I","label":"Community standard / vocabulary","action":"Adopt and NAME your domain's data standard — the minimum-information checklist, metadata schema, or ontology your community uses (MIAME/MINSEQE, ISA-Tab, BIDS, an OBO ontology, HL7 FHIR/OMOP) — and say which one you followed. A reporting checklist standardises your paper; it does nothing for your data. In genomics / sequencing, describe the data with MIAME, MINSEQE or MIxS.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":"We downloaded and integrated computational target prediction data from TargetScan 6.2 and miRanda. We also added miRNA-target interaction data of CLIP-seq studies from StarBase v2. 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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":"no","current":0.0,"evidence":"All relevant data are in the paper and on the web application described in the article: http://mips.helmholtz-muenchen.de/mitalos","why":"No documentation object (README, data dictionary, codebook, schema file) is mentioned as travelling with the data. [majority verdict 'no' (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":"All relevant data are in the paper and on the web application described in the article: http://mips.helmholtz-muenchen.de/mitalos","why":"The data are not sensitive or human-subject, and no gatekeeper of any kind is named.","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":"All relevant data are in the paper and on the web application described in the article: http://mips.helmholtz-muenchen.de/mitalos","why":"No identifier for any external resource other than the paper's own dataset is provided; the paper cites references but does not give accessions or DOIs for the data sources used. [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":"no","current":0.0,"evidence":"All relevant data are in the paper and on the web application described in the article: http://mips.helmholtz-muenchen.de/mitalos","why":"The paper does not mention any retention period, archival commitment, or availability timing for the data.","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).","Deposit the data in a repository registered in re3data/FAIRsharing (a domain repository such as GEO, SRA, dbGaP, PRIDE, or a generalist such as Zenodo, Dryad, Dataverse) and name it explicitly in the paper. A lab website is not an archive: it has no retention commitment and no accession. For genomics / sequencing data, deposit in GEO (GSE accession), SRA (SRP/SRR) or ENA/BioProject (PRJEB/PRJNA).","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.","Publish the analysis code in a public forge, archive a tagged release with a DOI (Zenodo/Software Heritage), and cite that DOI in the paper. NIH DMS Element 2 asks for the tools and code, not only the data — and 'available on request' is not a locator. Archive the analysis code in a versioned repository (GitHub + a Zenodo release DOI)."],"model":"deepseek/deepseek-v4-flash","agent_version":"fair_agent_v8","fulltext_source":"epmc_xml"},"fair_model":"deepseek/deepseek-v4-flash","fair_agent_version":"fair_agent_v8","fair_fulltext_source":"epmc_xml","fair_has_llm":true,"fair_computed_at":"2026-07-20T11:09:50.740932Z","clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}