{"doi":"10.3390/proceedings2023091070","title":"The Development of a Nutrient Database to Analyse the Dietary Intake of Older Indians in the Longitudinal Aging Study in India—Diagnostic Assessment of Dementia (LASI-DAD)","abstract":"Investigating diet-related disease in India’s ageing population is challenging due to poor dietary assessment infrastructure and limited capacity for nutritional analyses. We developed a semi-quantitative Food Frequency Questionnaire (FFQ) to capture dietary intake among older Indian adults. Nutrient analysis of FFQ data requires linkage to a nutrient database preferably based on local food composition. However, the Indian Food Composition Tables (IFCT) provided only partial coverage for FFQ items, nutrient data for cooked foods were unavailable, and some important nutrients were missing, e.g., iodine and vitamin B12. The objective was to develop a nutrient database maximising the IFCT to allow for the analysis of FFQ data. The development of the nutrient database involved: (1) the creation of a core dataset within the Nutritics (2019) software platform comprising analytical data for matched foods in the IFCT reference database; (2) the selection of suitable matches for additional foods/beverages consumed in the FFQ informed by local dietetic expertise; (3) the import of nutrient profiles for additional foods/beverages from international food composition tables (UK, USA, and Singapore) to provide full coverage for all FFQ items; (4) the filling of nutrient data gaps in the core IFCT dataset to ensure all foods/beverages have a value for each nutrient; and (5) the generation of a conversion file for food frequencies to daily intakes (in servings and grams) to facilitate FFQ linkage with the nutrient database. The complete nutrient database provides full coverage of FFQ raw and cooked food/beverages and has the capability to analyse 53 nutrients. Overall, 53% of the FFQ items were matched to the IFCT, whilst 28% were matched from the UK (GB21-0), 15% from the USA (FNDDS), and 4% from the Singapore food tables. All FFQ items matched to the IFCT had missing nutrients mapped from matches in other databases, with GB21-0 being the first preference. For cooked FFQ items matched to the IFCT (n = 21), an appropriate cooking method was applied using established nutrient retention factors. The bespoke nutrient database developed through the integration of nutritional expertise and dietary assessment software will allow for the nutrient analysis of FFQ data. The next step is to automate the nutrient analysis process from computer-assisted FFQ data collection in Wave 2 of LASI-DAD.","journal":"Research Portal (Queen's University Belfast)","year":2023,"id":414270,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":0.0,"corpus_rank":10062,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.8529,"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":4.1667,"fair_percentile":4.891470498318557,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":484266,"name":"Aparajit Ballav Dey","orcid":"0000-0003-0979-9413","position":1,"is_corresponding":false},{"id":1196345,"name":"Alka Mohan Chutani","orcid":null,"position":2,"is_corresponding":false},{"id":484267,"name":"Joyita Banerjee","orcid":"0000-0002-3432-9782","position":3,"is_corresponding":false},{"id":713330,"name":"Pranali Khobragade","orcid":"0000-0002-1117-1177","position":4,"is_corresponding":false},{"id":626466,"name":"Jinkook Lee","orcid":"0000-0002-6209-719X","position":5,"is_corresponding":false},{"id":944995,"name":"Claire T. McEvoy","orcid":"0000-0001-8512-3293","position":6,"is_corresponding":false},{"id":1196024,"name":"Danielle Logan","orcid":"0000-0002-3932-3654","position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-19T01:22:05.177070Z","pmid":null,"pmcid":null,"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":11.1111,"fair_a":0.0,"fair_i":0.0,"fair_r":25.0,"fair_zscore":-1.1986,"fair_rationale":{"fair_score":4.17,"has_llm":true,"taxonomy_version":"fair_taxonomy_v5","dimensions":{"F":{"name":"Findable","score":11.11,"criteria":[{"key":"f_dataset_pid","label":"Persistent identifier for the data","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":"Data Availability Statement: Data not available.","grounded":true,"rationale":"The paper provides no persistent identifier for the nutrient database; the only DOI is for the article itself.","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":0.0,"verdict":"no","evidence":"Data Availability Statement: Data not available.","grounded":true,"rationale":"No repository is named as the holder of the data; the data are stated to be unavailable.","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":0.0,"verdict":"no","evidence":"Data Availability Statement: Data not available.","grounded":true,"rationale":"The data-availability statement declares the data cannot be shared, offering no route, which falls under the 'no' category.","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":"The complete nutrient database provides full coverage of FFQ raw and cooked food/beverages and has the capability to analyse 53 nutrients.","grounded":true,"rationale":"The dataset's content is described in a prose sentence, but there is no itemised inventory such as a table or list. [majority verdict 'partial' (4/5 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":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No identifier for the dataset appears anywhere in the paper, so it is not cited.","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":0.0,"criteria":[{"key":"a_data_openly_accessible","label":"Access route free of preconditions","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":"Data Availability Statement: Data not available.","grounded":true,"rationale":"The paper declares the data are not available, offering no route to access them.","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":"Data Availability Statement: Data not available.","grounded":true,"rationale":"The paper states only that the data are not available, providing no 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":"Data Availability Statement: Data not available.","grounded":true,"rationale":"The paper does not address sensitive data and states the data are not available, so no gatekeeper 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":"Data Availability Statement: Data not available.","grounded":true,"rationale":"The paper states only that the data are not available, with no timing or persistence commitment.","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":null,"grounded":false,"rationale":"No file format is named for the released data.","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":"The paper does not name any community standard vocabulary or checklist applied to the data. 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A bare URL is not persistent: it is the single most common cause of a dead data link five years after publication. For social science data, deposit in ICPSR or the Harvard Dataverse.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":"Data Availability Statement: Data not available.","why":"The paper provides no persistent identifier for the nutrient database; the only DOI is for the article itself.","gain":16.67,"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 social science data, deposit in ICPSR or the Harvard Dataverse.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":"Data Availability Statement: Data not available.","why":"No repository is named as the holder of the data; the data are stated to be unavailable.","gain":16.67,"priority":"essential","scored":true},{"key":"a_data_openly_accessible","dimension":"A","label":"Access route free of preconditions","action":"Remove the precondition or justify it. Release the data at publication with no embargo, no registration wall, and no approval step — NIH's zero-embargo public- access rule (NOT-OD-25-101) has already made 'available at publication' the federal baseline for the article; the data should not lag behind it. For social science data, deposit in ICPSR or the Harvard Dataverse.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":"Data Availability Statement: Data not available.","why":"The paper declares the data are not available, offering no route to access them.","gain":16.67,"priority":"essential","scored":true},{"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. 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Prefer open social science formats such as CSV or SPSS/Stata with a codebook.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No file format is named for the released data.","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":null,"why":"The paper does not provide any locator for code; no code availability is mentioned.","gain":8.33,"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":"no","current":0.0,"evidence":null,"why":"No version token or date is given for the dataset.","gain":4.17,"priority":"useful","scored":true},{"key":"f_data_availability_statement","dimension":"F","label":"Data-availability statement","action":"Replace the statement with the repository template: name the repository and give the accession or DOI (Colavizza category 3). 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In social science, describe the data with DDI.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"The paper does not name any community standard vocabulary or checklist applied to the data. [majority verdict 'no' (4/5 passes agreed)]","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":"no","current":0.0,"evidence":null,"why":"No documentation object such as a README or codebook is mentioned as accompanying the data.","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. 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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":null,"why":"The paper does not provide an identifier for any external resource such as source databases or code.","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. 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For social science data, deposit in ICPSR or the Harvard Dataverse.","Remove the precondition or justify it. Release the data at publication with no embargo, no registration wall, and no approval step — NIH's zero-embargo public- access rule (NOT-OD-25-101) has already made 'available at publication' the federal baseline for the article; the data should not lag behind it. For social science data, deposit in ICPSR or the Harvard Dataverse.","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.","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 social science repository accession (e.g. from ICPSR or the Harvard Dataverse) in the reference list."],"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":"2026-07-20T13:55:49.119484Z","clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}