A data-driven single-cell and spatial transcriptomic map of the human prefrontal cortex is a dataset published in Science (2024). On theSindex it has a DataRank of 1.2, placing it in the top 17.8% of the data-sharing corpus. It has been cited 69 times, with 44 citing works in its 1-hop citation network. Its calibrated FAIR score is 67/100.
Ranks in the top 18% for downstream scientific impact
Linked data & code
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.
“The source data described in this manuscript are available from the National Institute of Mental Health (NIMH) Data Archive (https://nda.nih.gov/) (64).”
A web address (https://nda.nih.gov/) is given as the place the data live, but it is not a persistent identifier scheme (DOI, Handle, ARK, URN, or repository accession). [majority verdict 'partial' (2/5 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 source data described in this manuscript are available from the National Institute of Mental Health (NIMH) Data Archive (https://nda.nih.gov/) (64).”
The National Institute of Mental Health (NIMH) Data Archive is a named repository that is registered in re3data/FAIRsharing, and it is the holder of the data.
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
“64. Martinowich K, Maynard K, Collado-Torres L, Synapse DataSet Only T: Zintel, Integrated single cell and unsupervised spatial transcriptomic analysis defines molecular anatomy of the human dorsolateral prefrontal cortex. Synapse (2023), doi:10.7303/syn51032055.1.”
The dataset identifier appears as a reference list entry (reference 64). [majority verdict 'yes' (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
“The source data described in this manuscript are available from the National Institute of Mental Health (NIMH) Data Archive (https://nda.nih.gov/) (64). The source data are also publicly available from the Globus endpoint 'jhpce#spatialDLPFC' and 'jhpce#DLPFC_snRNAseq' that are also listed at http://research.libd.org/globus.”
The data-availability statement points to a repository (NIMH Data Archive) and provides links, fitting Colavizza category 3 (link to archived data in a public repository). [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
“For Visium, 4,866 (4.1%) spots with low library size were excluded (Fig S5), resulting in a total of 113,927 spots across 30 tissue blocks and 10 donors.”
The dataset's extent (number of spots, blocks, donors) is stated in running prose, but there is no itemised inventory (section, table, or list) of files or variables. [majority verdict 'partial' (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'
“The source data are also publicly available from the Globus endpoint 'jhpce#spatialDLPFC' and 'jhpce#DLPFC_snRNAseq' that are also listed at http://research.libd.org/globus.”
The text gives a route (Globus and NIMH Data Archive) with no stated precondition; the data are described as 'publicly available'.
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
“The source data are also publicly available from the Globus endpoint 'jhpce#spatialDLPFC' and 'jhpce#DLPFC_snRNAseq' that are also listed at http://research.libd.org/globus.”
The paper explicitly labels the data as 'publicly available', which is a natural-language equivalent of 'open access' from the standard access-rights vocabulary.
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 paper states the data are publicly available with no gatekeeper of any kind, and no institutional or personal gatekeeper is named.
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 source data described in this manuscript are available from the National Institute of Mental Health (NIMH) Data Archive (https://nda.nih.gov/) (64).”
The sentence states that the data are available now but says nothing about how long they will persist, so it is an availability-timing statement only. [majority verdict 'partial' (4/5 passes agreed)]
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 raw data provided through Globus include all the FASTQ files and raw image files.”
FASTQ is an open, community-standard file format for sequencing data, and it is explicitly named for the released data.
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
No data or metadata community standard (e.g., MIAME, MINSEQE, BIDS, an ontology) is named in the paper; only manuscript reporting guidelines are absent as well.
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'
“All source code is publicly available through GitHub and permanently archived through Zenodo at https://github.com/LieberInstitute/spatialDLPFC (65) and https://github.com/LieberInstitute/DLPFC_snRNAseq (66).”— not found in the paper; verdict downgraded
The paper provides a repository URL for the code, which is a qualified reference to a resource other than the study's own dataset. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/5 passes agreed)]
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'
The paper only applies a CC BY license to the manuscript, not to the data; no license for the data is stated.
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'
No version token or date is given for the dataset; the data are referred to without specifying a snapshot. [majority verdict 'no' (4/5 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'
“All source code is publicly available through GitHub and permanently archived through Zenodo at https://github.com/LieberInstitute/spatialDLPFC (65) and https://github.com/LieberInstitute/DLPFC_snRNAseq (66).”— not found in the paper; verdict downgraded
A machine-resolvable locator (GitHub URL) is given for the study's own code, and it is archived via Zenodo. [downgraded to 'partial' — no verifiable quote from the paper]
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)
“Data were generated as part of the PsychENCODE Consortium, supported by: U01DA048279, U01MH103339, U01MH103340, U01MH103346, U01MH103365, U01MH103392, U01MH116438, U01MH116441, U01MH116442, U01MH116488, U01MH116489, U01MH116492, U01MH122590, U01MH122591, U01MH122592, U01MH122849, U01MH122678, U01MH122681, U01MH116487, U01MH122509, R01MH094714, R01MH105472, R01MH105898, R01MH109677, R01MH109715, R01MH110905, R01MH110920, R01MH110921, R01MH110926, R01MH110927, R01MH110928, R01MH111721, R01MH117291, R01MH117292, R01MH117293, R21MH102791, R21MH103877, R21MH105853, R21MH105881, R21MH109956, R56MH114899, R56MH114901, R56MH114911, R01MH125516, R01MH126459, R01MH129301, R01MH126393, R01MH121521, R01MH116529, R01MH129817, R01MH117406, and P50MH106934”
Multiple award/grant numbers (e.g., U01DA048279, R01MH123183) are attached to named funders (NIH, NIMH, etc.). [majority verdict 'yes' (4/5 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
“Using the Visium spatial transcriptomics platform (24), we measured spatial gene expression in fresh frozen postmortem human tissue blocks”
The paper names the specific platform (Visium) and other tools (10x Genomics, BayesSpace, etc.) used to produce the data. [majority verdict 'yes' (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
No documentation object (README, data dictionary, codebook, schema) is named as travelling with the data, and no variable-definition table is present in the article.
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
0.637
From this paper's citation signal
Citation Network Contribution
0.518
From 31 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 44 citers.
NIMH NIH HHS
Grant: P50 MH106934
NIMH NIH HHS
Grant: R01 MH110927
NIMH NIH HHS
Grant: R01 MH105898
NIMH NIH HHS
Grant: R01 MH109677
NIMH NIH HHS
Grant: R01 MH116529
NIMH NIH HHS
Grant: R56 MH114911
NIMH NIH HHS
Grant: U01 MH103365
NIMH NIH HHS
Grant: U01 MH116441
NIMH NIH HHS
Grant: U01 MH122509
NIMH NIH HHS
Grant: U01 MH122592
NIMH NIH HHS
Grant: U01 MH122849
NIA NIH HHS
Grant: P30 AG066514
NIMH NIH HHS
Grant: R01 MH094714
NIMH NIH HHS
Grant: R01 MH123183
NIMH NIH HHS
Grant: U01 MH103339
NIMH NIH HHS
Grant: U01 MH103392
NIMH NIH HHS
Grant: U01 MH116438
NIMH NIH HHS
Grant: U01 MH122678
NIMH NIH HHS
Grant: U01 MH122681
NIMH NIH HHS
Grant: R01 MH110926
NIMH NIH HHS
Grant: R01 MH117291
NIMH NIH HHS
Grant: U01 MH116487
NIEHS NIH HHS
Grant: P30 ES010126
NIMH NIH HHS
Grant: R01 MH110905
NIMH NIH HHS
Grant: R01 MH117293
NIMH NIH HHS
Grant: R01 MH125516
NIMH NIH HHS
Grant: R01 MH126393
NIMH NIH HHS
Grant: R21 MH105881
NIMH NIH HHS
Grant: R21 MH109956
NIGMS NIH HHS
Grant: R35 GM139580
NIMH NIH HHS
Grant: U01 MH103346
NIMH NIH HHS
Grant: U01 MH116442
NIMH NIH HHS
Grant: U01 MH116488
NIMH NIH HHS
Grant: R01 MH117406
NIMH NIH HHS
Grant: R01 MH129301
NIMH NIH HHS
Grant: R01 MH109715
NIMH NIH HHS
Grant: R01 MH117292
NIMH NIH HHS
Grant: R01 MH121521
NIMH NIH HHS
Grant: R21 MH102791
NIMH NIH HHS
Grant: R21 MH103877
NIDA NIH HHS
Grant: U01 DA048279
NIMH NIH HHS
Grant: U01 MH103340
NIMH NIH HHS
Grant: U01 MH116489
NIMH NIH HHS
Grant: R01 MH105472
NIMH NIH HHS
Grant: R01 MH105592
NIMH NIH HHS
Grant: R01 MH110920
NIMH NIH HHS
Grant: R01 MH110921
NIMH NIH HHS
Grant: R01 MH110928
NIMH NIH HHS
Grant: R01 MH111721
NIMH NIH HHS
Grant: R01 MH126459
NIMH NIH HHS
Grant: R21 MH105853
NIMH NIH HHS
Grant: R21 MH129817
NIMH NIH HHS
Grant: R56 MH114899
NIMH NIH HHS
Grant: R56 MH114901
NIMH NIH HHS
Grant: U01 MH116492
NIMH NIH HHS
Grant: U01 MH122590
NIMH NIH HHS
Grant: U01 MH122591
National Institutes of Health
Grant: 5P50MH106934-04
Functional Genomics of Human Brain Development
National Institutes of Health
Grant: 5R01MH110905-04
2/2-Measuring translational dynamics and the proteome to identify potential brain biomarkers for psychiatric disease
National Institutes of Health
Grant: 1R56MH114901-01A1
3/3 Chromatin regulation during brain development and in ASD
National Institutes of Health
Grant: 5R01MH111721-04
Integrative Genomics of the Corticolimbic Circuit in Major Depressive Disorder
National Institutes of Health
Grant: 5R35GM139580-05
Modeling the dynamicimpact of rare and common genetic variation on gene expression anddisease
National Institutes of Health
Grant: 5U01MH116492-02
1/2 Discovery and validation of neuronal enhancers associated with the development of psychiatric disorders
National Institutes of Health
Grant: 1U01MH116441-01
Dynamic RNA Modifications in human brain development and autism
National Institutes of Health
Grant: 5U01MH122681-02
2/2 - Identification and Validation of Expression Quantitative Trait Loci (eQTLs) in discrete cell types across human brain development
National Institutes of Health
Grant: 1R01MH125516-01A1
Assessing Genomic, Regulatory and Transcriptional Variation at Single Nuclei Resolution in the Brains of Individuals with Autism Spectrum Disorder
National Institutes of Health
Grant: 5U01MH116487-02
2/2 - Cell Type and Region-Specific Regulatory Networks in Human Brain Development and Disorders
National Institutes of Health
Grant: 5U01MH116489-06
2/2 Discovery and validation of neuronal enhancers associated with the development of psychiatric disorders
National Institutes of Health
Grant: 5U01MH116488-03
1/2 Cell Type and Region-Specific Regulatory Networks in Human Brain Development and Disorders
National Institutes of Health
Grant: 5R01MH123183-04
Integrative cellular deconvolution of human brain RNA sequencing data
National Institutes of Health
Grant: 1R56MH114911-01A1
1/3 Chromatin regulation during brain development and in ASD
National Institutes of Health
Grant: 5R01MH110927-02
2/3 Integrative Genomic Analysis of Human Brain Development and Autism
National Institutes of Health
Grant: 5R01MH126459-04
Gene Expression Regulation in Brains of East Asian, African, and European Descent Explains Schizophrenia GWAS Across Populations
National Institutes of Health
Grant: 5U01MH103392-03
Cis-Regulatory Epigenome Mappings in Schizophrenia
National Institutes of Health
Grant: 1U01MH122509-01
Discovery and validation of genetic variation impacting the gene regulatory landscape during human cortical development
National Institutes of Health
Grant: 3U01MH103365-03S1
Gene regulatory elements and transcriptome in iPSCs and embryonic human cortex
National Institutes of Health
Grant: 5U01MH116442-03
The 3D genome in transcriptional regulation across the postnatal life span, with implications for schizophrenia and bipolar disorder
National Institutes of Health
Grant: 5R01MH109677-02
Risk genetic variants and cis regulation of gene expression in Bipolar Disorder
National Institutes of Health
Grant: 3U01DA048279-03S1
Functional genomic resource and integrative model of dopaminergic circuitry associated with psychiatric disease
National Institutes of Health
Grant: 1R01MH109715-01A1
Mapping the role of long noncoding RNAs in gene regulatory networks in schizophrenia
National Institutes of Health
Grant: 5R01MH110926-04
1/3 Integrative Genomic Analysis of Human Brain Development and Autism
National Institutes of Health
Grant: 1U01MH122678-01
1/2 Identification and Validation of Expression Quantitative Trait Loci (eQTLs) in discrete cell types across human brain development
National Institutes of Health
Grant: 5U01MH116438-04
Massively parallel characterization of psychiatric disease associated regulatory elements in defined cell types
National Institutes of Health
Grant: 5U01MH103339-02
Transcriptional and Epigenetic Signatures of Human Brain Development and Autism
National Institutes of Health
Grant: 5R21MH109956-02
Characterizing the developing human brain transcriptome at single-base resolution
National Institutes of Health
Grant: 5R21MH103877-02
GABA Epigenomes in Autism
National Institutes of Health
Grant: 5R21MH105881-02
Long non-coding RNAs in gene regulatory networks underlying Autism
National Institutes of Health
Grant: 5R01MH094714-02
Epigenetic and Transcriptional Dysregulation in Autism Spectrum Disorder
National Institutes of Health
Grant: 5U01MH122849-02
Spatial registration of gene expression in the human brain
National Institutes of Health
Grant: 5R01MH117293-03
1/3 Understanding PTSD through Postmortem Targeted Brain Multi-omics
National Institutes of Health
Grant: 1R01MH110928-01
3/3 Integrative Genomic Analysis of Human Brain Development and Autism
National Institutes of Health
Grant: 5U01MH122590-02
2/3 High-resolution mapping of cell type-specific DNA (hydroxy)methylation in the human brain during postnatal development and in psychiatric disease
National Institutes of Health
Grant: 5R01MH116529-05
Integrated, cell type specific functional genomics analyses of regulatory sequence elements and their dynamic interaction networks in neuropsychiatric brain tissues
National Institutes of Health
Grant: 5R01MH105472-03
Decoding schizophrenia-From GWAS to functional regulatory variants
National Institutes of Health
Grant: 1R01MH117291-01
2/3 Understanding PTSD through Postmortem Targeted Brain Multi-omics
National Institutes of Health
Grant: 5R01MH121521-03
Isoform-level probabilistic transcriptome-wide association to undercover neurogenetic mechanisms underlying complex psychiatric traits
National Institutes of Health
Grant: 1R01MH126393-01
Laminar dissection of cortical human brain gene expression in neuropsychiatric disorders
National Institutes of Health
Grant: 5U01MH122592-03
3/3 High-resolution mapping of cell type-specific DNA (hydroxy)methylation in the human brain during postnatal development and in psychiatric disease
National Institutes of Health
Grant: 5R01MH117292-03
Site 3/3, Understanding PTSD through Postmortem Targeted Brain Multiomics
National Institutes of Health
Grant: 5U01MH103346-02
The USC PsychENCODE Project
National Institutes of Health
Grant: 3U01MH103340-02S1
Genetic variants affect brain gene expression and risks of psychiatric disorders
National Institutes of Health
Grant: 5R01MH110921-04
Molecular Profiling of Schizophrenia
National Institutes of Health
Grant: 1R21MH102791-01A1
Establishing comprehensive and quantitative maps of DNA methylation in the develo
National Institutes of Health
Grant: 5R01MH105898-04
RNA Sequencing of the Limbic System in Bipolar Disorder
National Institutes of Health
Grant: 5U01MH122591-03
1/3 High-resolution mapping of cell type-specific DNA (hydroxy)methylation in the human brain during postnatal development and in psychiatric disease.
National Institutes of Health
Grant: 1R56MH114899-01A1
2/3 Chromatin regulation during brain development and in ASD
National Institutes of Health
Grant: 5R01MH110920-04
1/2 Measuring translational dynamics and the proteome to identify potential brain biomakers for psychiatric disease
National Institutes of Health
Grant: 5R21MH105853-02
Decomposing cell type-specific marks in post-mortem human brain studies
National Institutes of Health
Grant: 5R01MH117406-03
The Spatiotemporal Landscape of the Human Brain Epitranscriptome
National Institutes of Health
Grant: 5R01MH129301-03
Sex-specific trajectories in epigenomic regulation of brain patterning
FWCI
11.39
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords