Harvard Electroencephalography Database: A comprehensive clinical electroencephalographic resource from four Boston hospitals is a dataset published in Epilepsia (2025). On theSindex it has a DataRank of 0.349, placing it in the top 50.4% of the data-sharing corpus. It has been cited 8 times, with 7 citing works in its 1-hop citation network. Its calibrated FAIR score is 63/100.
Ranks in the top 50% 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.
“https://bdsp.io/content/harvard-eeg-db/4.1/”
The paper provides a URL for the dataset, not a PID scheme identifier.
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'
“Brain Data Science Platform (BDSP)”
The paper names the Brain Data Science Platform as the repository host. [majority verdict 'yes' (4/5 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
“https://bdsp.io/content/harvard‐eeg‐db/3.0/”
The dataset identifier appears only in body text, not in the reference list.
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
“All data needed to reproduce the results are available at bdsp.io at https://bdsp.io/content/harvard-eeg-db/4.1/”
The data availability statement points to a repository record with a URL.
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
“Figure 2. Hierarchical organization of electroencephalographic (EEG) data in the Brain Imaging Data Structure (BIDS) format.”— not found in the paper; verdict downgraded
The paper includes a figure (Figure 2) that itemises the BIDS directory structure of the dataset, serving as an itemised inventory. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 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'
“Access to HEEDB is facilitated through the BDSP (bdsp.io), ensuring secure and controlled use of the data. Although the data have been deidentified per HIPAA, HEEDB is classified as “restricted access,” allowing only credentialed researchers who meet specific criteria. Users must sign a DUA committing to data security, prohibiting reidentification, and restricting use to lawful scientific research.”
Access requires a DUA and credentialing, so a precondition is stated. [majority verdict 'partial' (4/5 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
“HEEDB is classified as “restricted access””— not found in the paper; verdict downgraded
The paper explicitly labels the access level as 'restricted access'. [downgraded to 'partial' — no verifiable quote from the paper] [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
“Users must sign a DUA committing to data security, prohibiting reidentification, and restricting use to lawful scientific research.”
The paper names a Data Use Agreement and institutional gatekeeper.
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
“HEEDB is an actively maintained and continuously expanding resource.”
The paper states the resource is actively maintained but no explicit retention period. [majority verdict 'partial' (2/5 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'
“raw EEG data (.edf)”
The paper states the EEG data are in .edf format, which is open. [majority verdict 'yes' (4/5 passes agreed)]
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
“Brain Imaging Data Structure (BIDS)”
The paper uses BIDS, a community standard for neuroimaging data. [majority verdict 'yes' (3/5 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 an identifier for any external resource that the data depend on or derive from (e.g., source dataset, reference genome). [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'
“Data use agreement (DUA)”— not found in the paper; verdict downgraded
The data are governed by a Data Use Agreement, not an open license. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (4/5 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'
“https://bdsp.io/content/harvard-eeg-db/4.1/”
The dataset URL includes a version number 4.1. [majority verdict 'yes' (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'
“https://github.com/bdsp-core/SpikeNet1”
The paper provides GitHub URLs for code. [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)
“RF1AG064312”
The paper lists multiple NIH grant numbers. [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
“PHILter”— not found in the paper; verdict downgraded
The paper names specific tools like PHILter for deidentification. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (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
“dataset_description.json, participants.tsv, README”
The paper states that the dataset includes metadata files like README and dataset_description.json. [majority verdict 'yes' (3/5 passes agreed)]
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
0.330
From this paper's citation signal
Citation Network Contribution
0.0199
From 1 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 7 citers.
American Heart Association
Grant: 20CDA35310297
American Heart Association
Grant: 24DIVSUP1274116
U.S. Department of Defense
Grant: ERP 220036
U.S. Department of Defense
Grant: W81XWH‐19‐1‐0861
U.S. Department of Defense
Grant: W81XWH‐21‐C‐0075
National Science Foundation
Grant: 2014431
National Institutes of Health
Grant: 1OT2OD032701
National Institutes of Health
Grant: K23NS119794
National Institutes of Health
Grant: K23NS124656
National Institutes of Health
Grant: K99NS138680
National Institutes of Health
Grant: R01AG073410
National Institutes of Health
Grant: R01AG073598
National Institutes of Health
Grant: R01HL161253
National Institutes of Health
Grant: R01NS126282
National Institutes of Health
Grant: R01NS128342
National Institutes of Health
Grant: R01NS130119
National Institutes of Health
Grant: R01NS131347
National Institutes of Health
Grant: RF1AG064312
National Institutes of Health
Grant: RF1NS120947
Cures Within Reach
Grant: 2022CAL‐Amorim
NINDS NIH HHS
Grant: R01 NS120947
NINDS NIH HHS
Grant: R61 NS130215
U.S. Department of Defense
Grant: W81XWH-21-C-0075
NINDS NIH HHS
Grant: U44 NS121559
Cures Within Reach
Grant: 2022CAL-Amorim
U.S. Department of Defense
Grant: W81XWH-19-1-0861
NINDS NIH HHS
Grant: K23 NS104267
NIH HHS
Grant: OT2 OD032701
NINDS NIH HHS
Grant: R01 NS111022
NIA NIH HHS
Grant: K23 AG063899
NIA NIH HHS
Grant: R01 AG060987
NICHD NIH HHS
Grant: R21 HD115285
Hellman Foundation
Beth Israel Deaconess Medical Center
Zoll Foundation
ZOLL Foundation
Zoll Foundation
Hellman Foundation
Beth Israel Deaconess Medical Center
FWCI
6.43
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords