A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images is a dataset published in Scientific Data (2021). On theSindex it has a DataRank of 1.8, placing it in the top 11.9% of the data-sharing corpus. It has been cited 42 times, with 42 citing works in its 1-hop citation network. Its calibrated FAIR score is 75/100.
Ranks in the top 12% 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.
“https://doi.org/10.6084/m9.figshare.13725546.v1”
The paper provides a DOI for the dataset in the reference list, which is a persistent identifier scheme. [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'
“This dataset is publicly available in figshare52.”
Figshare is a recognised data repository listed in re3data and FAIRsharing.
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
“52. Lim, Y. et al. A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images. figshare https://doi.org/10.6084/m9.figshare.13725546.v1 (2021).”— not found in the paper; verdict downgraded
The dataset appears as a reference-list entry with a DOI, satisfying data citation principles. [downgraded to 'partial' — no verifiable quote from the paper]
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
“This dataset is publicly available in figshare52.”
The statement points to a repository record (figshare) with a DOI, matching Colavizza category 3.
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
“Data Records”
The paper contains a dedicated 'Data Records' section with a table (Table 5) and itemised folder structure, serving as an itemised inventory.
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'
“This dataset is publicly available in figshare52.”
The text gives a link to the repository with no precondition stated; the data are openly 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
“This dataset is publicly available in figshare52.”
The paper labels the data as 'publicly available' in the Data Records section, which is an explicit access-level label.
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
“This dataset is publicly available in figshare52.”
The data are from human subjects but are publicly available with no gatekeeper named; the paper does not specify any institutional or personal 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
“This dataset is publicly available in figshare52.”
The paper states the dataset is available now but does not commit to any retention period or persistence.
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'
“HDF5 format”— not found in the paper; verdict downgraded
The paper states that reconstructed image data are in HDF5 format, which is an open, community-standard format. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 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
“Raw RT-MRI data are provided in the vendor-agnostic MRD format (previously known as ISMRMRD, https://ismrmrd.github.io/)53”
ISMRMRD/MRD is a community standard for raw MRI data, registered in FAIRsharing.
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'
“https://ismrmrd.github.io/”
The paper provides a URL for the MRD format (ISMRMRD), which is a resource identifier for a standard used by the data. [majority verdict 'yes' (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'
No reuse license is stated for the data; the CC BY license applies only to the article, and the MIT license applies only to the code.
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://doi.org/10.6084/m9.figshare.13725546.v1”
The figshare DOI includes a version suffix '.v1', which is a version token.
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/usc-mrel/usc_speech_mri.git”
A machine-resolvable locator (GitHub repository URL) is provided for the study's code.
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)
“This work was supported by NSF Grant 1514544, NSF Grant 1908865, and NIH Grant R01DC007124.”
Award/grant numbers are explicitly given for three funders.
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
“All data were collected using a commercial 1.5 Tesla MRI scanner (Signa Excite, GE Healthcare, Waukesha, WI)”
The paper names the specific instrument (GE Signa Excite) used to produce the data.
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
“Demographic information for each participant is contained in XLSX format in Subjects.xlsx. Additionally, meta information for each participant and RT-MRI task is contained in JSON format in metafile_public_<timestamp>.json.”— not found in the paper; verdict downgraded
These metadata files (XLSX and JSON) are documentation objects that travel with the data in the repository. [downgraded to 'partial' — no verifiable quote from the paper]
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
0.564
From this paper's citation signal
Citation Network Contribution
1.2
From 28 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 42 citers.
National Science Foundation
Grant: 1908865
RI: Small: Speaker-Specific Articulatory Strategies
NIDCD NIH HHS
Grant: R01 DC007124
National Science Foundation
Grant: 1514544
RI: Medium: Collaborative Research: Understanding Individual-Level Speech Variability: From Novel Articulatory Data to Robust Speaker Recognition
National Institutes of Health
Grant: 5R01DC007124-09
Dynamics of Vocal Tract Shaping
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals