Cohort validation pack

UK Minds

UK Minds Study

Generated 6 Oct 2026, 10:36 · ID 34

Unverified

Last verified: 16/04/2026

Instructions for reviewers

Review each field against your knowledge of this cohort. Mark Accurate if the value is right, Needs correction if it is wrong or inaccurate (add notes), Not sure if you cannot verify it, or Does not apply if the field is not relevant.
Evidence shown is from our source registry. Fields marked No source yet hold values we could not yet pin to a document — those were AI-inferred and need your input most. Fields marked Searched — not published are ones we looked for and could not find publicly; the note lists where we checked.
Your selections and notes are kept in this browser tab only (not sent to the database). Print or save as PDF when finished, then return it to the DIGIT team.

Overview

Total fields

Field-cited

Whole-record source only

AI-inferred, no source yet

Searched — not published

No value held

Needs review

Source coverage

Summary of how well fields in this pack are linked to evidence.

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Field-level source coverage Optional	35 of 71 reviewable fields are cited to a source (49%) · 6 with no source yet · 30 searched — not published · 29 with no value held	Computed	No citation linked to this field yet.	Response for Field-level source coverageAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Identity and ownership

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Short name Required	UK Minds	Field-cited	DIGIT internal planning excerpts (data-population-plan.md; project brief) — cohort label cross-check Section: docs/data-population-plan.md §7.2 (filed excerpt) “- [x] UK Minds (explicitly in Figure 1)” Page: https://www.gov.uk/government/publications/life-sciences-healthcare-goals/mental-health-goals The consumer string UK Minds is not present verbatim on the downloaded GOV.UK Mental Health Goals HTML or the King's news HTML; it is evidenced from the filed DIGIT planning excerpt (mirrors docs/data-population-plan.md). page_url points to the public GOV.UK Mental Health Goals umbrella page for programme context.	Response for Short nameAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Full name Required	UK Minds Study	Field-cited	DIGIT internal planning excerpts (data-population-plan.md; project brief) — cohort label cross-check Section: resources/DIGIT_CAPABILITIES_DB_PROJECT_BRIEF.md (filed excerpt) “\| UK Minds \| UK Minds Study \|” Page: https://www.gov.uk/government/publications/life-sciences-healthcare-goals/mental-health-goals full_name matches the abbreviated seed table row in the filed excerpt; no separate legal entity name for UK Minds appears on the reviewed GOV.UK or King's pages Apr 2026.	Response for Full nameAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Managing organisation Recommended	King's College London / Cardiff University / Queen's University Belfast / University of Edinburgh (UK Government Mental Health Goals programme; MRC delivery)	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “Over £10 million of the new funding will support the development of the world's largest nationally representative 'multi-omics' dataset for severe depression, led by Professor Gerome Breen at King's College London, alongside Queens University Belfast and University of Edinburgh. This will run in collaboration with a partner initiative for psychosis led by Professor James Walters at Cardiff University.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research	Response for Managing organisationAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Primary site Recommended	NIHR Maudsley Biomedical Research Centre (site #1)	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: GLAD study context (same article) “The GLAD study is led by the Social, Genetic & Developmental Psychiatry Centre at the Institute of Psychiatry, Psychology & Neuroscience, King's College London and the National Institute for Health and Care Research (NIHR) Mental Health BioResource at NIHR Maudsley Biomedical Research Centre” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research primary_site_id=1 (NIHR Maudsley BRC) is the NIHR mental-health BRC explicitly hosting the NIHR Mental Health BioResource named alongside the GLAD delivery partnership.	Response for Primary siteAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Website URL Recommended	https://www.gladstudy.org.uk/	Field-cited	GLAD Study — Official Website (Genetic Links to Anxiety and Depression) https://www.gladstudy.org.uk/ Section: Mental Health Goals programme overview (HTML list item) “including 20,000 genomic samples building on the Genetic Links to Anxiety and Depression (GLAD) cohort” Page: https://www.gov.uk/government/publications/life-sciences-healthcare-goals/mental-health-goals website_url stores https://www.gladstudy.org.uk/ as the participant-facing GLAD website explicitly linked from the GOV.UK Mental Health Goals publication for the depression extension; cohort SQL updated accordingly.	Response for Website URLAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Catalogue of Mental Health Measures URL Recommended	No value held	No source yet	No citation linked to this field yet.	Response for Catalogue of Mental Health Measures URLAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Contact name Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: King's article lists a communications manager for press enquiries, not a named cohort/study lead suitable for contact_name.	Response for Contact nameAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Contact email Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: Only ioppn-pr@kcl.ac.uk (press) appears on the King's article; no dedicated study inbox for UK Minds / MHG extension is published there.	Response for Contact emailAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Summary and status

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Description Required	Mental Health Goals programme workstream that extends GLAD with ~12,000 additional participants who have recurrent severe major depressive disorder, collecting genome sequencing, epigenetic profiling, blood biomarker assays, speech-related artificial intelligence, wearable devices, and NHS medical-record data, integrated with Mental Health Mission clinical networks and a separate ~8,000-participant psychosis programme led from Cardiff, together targeting ~20,000 participants (King's programme news; GOV.UK programme overview).	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “King's researchers will recruit an additional 12,000 participants with recurrent, severe major depressive disorder to GLAD, expanding the existing cohort. They will securely collect and integrate multiple types of biological information, including data on the complete human DNA (genome sequencing), which genes are switched on or off (epigenetic profiling), and other biological signals in blood that reveal health or disease (biomarker analysis). These measures will be combined with data from speech-based artificial intelligence, wearable devices and medical records. The new dataset will also integrate data from the Mental Health Mission Clinical Networks, and another 8,000-participant study for psychosis, aiming to include a total of 20,000 individuals.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research	Response for DescriptionAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Total N Required	20,000	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “another 8,000-participant study for psychosis, aiming to include a total of 20,000 individuals.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research total_n stores the combined programme target (20,000) cited by King's; it is not an audited enrolled census. Cross-check: GOV.UK Mental Health Goals page (local_file govuk_mental-health-goals_2026-04-16.html) states a repository including 20,000 genomic samples building on GLAD.	Response for Total NAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Total N qualifier Recommended	approximate	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “aiming to include a total of 20,000 individuals.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research total_n_qualifier=approximate because the figure is a programme target, not enrolled participants.	Response for Total N qualifierAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Year established Recommended	2026	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: More information “Recruitment to the extended GLAD study will commence from May/June 2026.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research year_established=2026 reflects the first publicised recruitment window for the funded extension wave.	Response for Year establishedAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Active cohort Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “King's researchers will recruit an additional 12,000 participants with recurrent, severe major depressive disorder to GLAD, expanding the existing cohort.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research	Response for Active cohortAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Ongoing recruitment Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: More information “Recruitment to the extended GLAD study will commence from May/June 2026.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research	Response for Ongoing recruitmentAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Refreshed cohort Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “For the first time we will gather detailed longitudinal assessments and high quality biosamples with voice, digital, genetics, proteomic and other biomarker data.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Longitudinal assessments imply repeated contact/data collection waves → is_refreshed=TRUE per data-dictionary refreshed cohort definition.	Response for Refreshed cohortAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Recontact success rate Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: No recontact response rate published for this programme wave.	Response for Recontact success rateAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Retention rate Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: No retention statistic published.	Response for Retention rateAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Published references Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: No PubMed-indexed cohort profile paper titles itself UK Minds Apr 2026. Google Scholar (source id 7) web search query ("cohort profile" AND "UK Minds") returned no usable cohort-profile hit. Programme is described through government and university news pages instead of a single DOI. Registry sweeps saved locally: HDR UK Innovation Gateway search results HTML (healthdatagateway_org_search_uk-minds_2026-04-16.html; no dataset titled UK Minds in visible results); DPUK homepage HTML (dpuk_ac_uk_home_2026-04-16.html; substring search for UK Minds returned no programme match); ClinicalTrials.gov API v2 JSON (clinicaltrials_gov_api_v2_uk-minds_2026-04-16.json) returned unrelated studies; ISRCTN XML API (isrctn_api_query_uk-minds_2026-04-16.xml) returned unrelated trials (totalCount=31).	Response for Published referencesAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Notes Recommended	Public pages dated Apr 2026 state extended GLAD recruitment is expected from May/June 2026. Policy framing and the 20,000-sample repository ambition are on the GOV.UK Mental Health Goals publication; GLAD is the participant-facing website linked from that publication for the depression extension. Data-access mechanism, timelines, and costs for the new MHG-funded wave are not yet stated on the pages reviewed here.	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: More information “Recruitment to the extended GLAD study will commence from May/June 2026.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Additional cohorts.notes sentences (GOV.UK policy framing, GLAD as linked participant website, missing data-access detail) are agent synthesis aligned with GOV.UK Mental Health Goals HTML (govuk_mental-health-goals_2026-04-16.html) plus GLAD homepage HTML (gladstudy_org_uk_home_2026-04-16.html), not one contiguous verbatim quote.	Response for NotesAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

3D cohort mapping

Consent, characterisation, and data availability axes used on the cohort map.

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Consent level (axis) Required	3 — Broad consent (recontactable for future studies)	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “King's researchers will recruit an additional 12,000 participants with recurrent, severe major depressive disorder to GLAD, expanding the existing cohort.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Step1 identifiable individuals YES (prospective recruitment). Step2 S251-only access NO (explicit voluntary recruitment to GLAD infrastructure). Step3 future research/recontact consistent with GLAD/BioResource model described elsewhere on gladstudy.org.uk but not re-quoted here. Step4 interventional/TWiCs-specific consent not described on this page → conservative consent_level 3 per data-dictionary.md.	Response for Consent level (axis)AccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Characterisation depth (axis) Required	3 — Multi-domain MH characterisation	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “For the first time we will gather detailed longitudinal assessments and high quality biosamples with voice, digital, genetics, proteomic and other biomarker data.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Multi-domain phenotyping (speech AI, wearables, omics, linked records) exceeds routine EHR-only and standard short-form scales-only descriptions, but no research-grade SCID/MINI/SCAN programme is claimed verbatim → characterisation_depth 3 (conservative vs Level 4).	Response for Characterisation depth (axis)AccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Data availability (axis) Required	4 — Multi-modal	Not published	DERIVED per data-dictionary.md auto formula: hasResearch=TRUE (questionnaires TRUE; linked health records TRUE); hasBiological=TRUE (biosamples TRUE; genomic TRUE; omics TRUE); hasAdvanced=TRUE (wearables TRUE; speech AI counted as digital phenotyping TRUE). Therefore data_availability=4.	Response for Data availability (axis)AccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Cohort map group (derived) Recommended	Group 1	Internal	Internal catalogue field	—	—
Population type Recommended	Case-enriched	Not published	DIGIT Cohort Portfolio Review — population type and engagement classification (Aug 2026) Classified case_enriched in the DIGIT cohort portfolio review (Aug 2026). Recruits participants with recurrent severe major depressive disorder as an extension of GLAD.	Response for Population typeAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Industry engagement status Recommended	Established access process	Not published	DIGIT Cohort Portfolio Review — population type and engagement classification (Aug 2026) Operates within the NIHR BioResource / MHG access and recontact framework.	Response for Industry engagement statusAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Parent cohort / programme Recommended	GLAD (Extension)	Not published	DIGIT Cohort Portfolio Review — population type and engagement classification (Aug 2026) UK Minds extends GLAD with ~12,000 additional severe recurrent MDD participants (extension); described in the MHG programme materials cited on its record.	Response for Parent cohort / programmeAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
TWiCs eligible Recommended	No	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “King's researchers will recruit an additional 12,000 participants with recurrent, severe major depressive disorder to GLAD, expanding the existing cohort.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research No Trials-Within-Cohorts randomisation consent language on this page and consent_level<4 per data_dictionary TWiCs rule → twics_eligible=FALSE.	Response for TWiCs eligibleAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Data modalities

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Questionnaire / interview Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “King's researchers will recruit an additional 12,000 participants with recurrent, severe major depressive disorder to GLAD, expanding the existing cohort.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research GLAD extension implies continuation of structured online phenotyping/questionnaires used in GLAD; GOV.UK bullet also references detailed clinical and digital data enrichment.	Response for Questionnaire / interviewAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Cognitive testing Recommended	No	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “These measures will be combined with data from speech-based artificial intelligence, wearable devices and medical records.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research No dedicated computerised cognitive battery (e.g., CANTAB) is named; speech AI is not classified as cognitive test data per data-dictionary cohort flag boundaries → FALSE.	Response for Cognitive testingAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Physical measures Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “other biological signals in blood that reveal health or disease (biomarker analysis).” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research	Response for Physical measuresAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Biosamples Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “For the first time we will gather detailed longitudinal assessments and high quality biosamples with voice, digital, genetics, proteomic and other biomarker data.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research	Response for BiosamplesAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Genomic data Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “including data on the complete human DNA (genome sequencing)” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research	Response for Genomic dataAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Omics Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “the world's largest nationally representative 'multi-omics' dataset for severe depression” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research	Response for OmicsAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Imaging Recommended	No	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “These measures will be combined with data from speech-based artificial intelligence, wearable devices and medical records.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Neuroimaging modalities are not named on this page → has_imaging_data=FALSE.	Response for ImagingAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Wearable / sensor Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “These measures will be combined with data from speech-based artificial intelligence, wearable devices and medical records.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research	Response for Wearable / sensorAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Digital phenotyping Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “These measures will be combined with data from speech-based artificial intelligence, wearable devices and medical records.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Speech-based AI is treated as digital phenotyping/modality capture beyond static PDF questionnaires → TRUE.	Response for Digital phenotypingAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Linked health records Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “These measures will be combined with data from speech-based artificial intelligence, wearable devices and medical records.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research	Response for Linked health recordsAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Biosample types Recommended	blood	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “other biological signals in blood that reveal health or disease (biomarker analysis).” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research biosample_types lists blood only because saliva is not explicitly named on this page (saliva remains plausible for GLAD but was not re-verified verbatim here).	Response for Biosample typesAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Genotyping platform Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: King's news names genome sequencing but not array/chip vendor or pipeline version.	Response for Genotyping platformAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Imaging modalities Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: No imaging modalities enumerated on reviewed GOV.UK or King's MHG pages; has_imaging_data=FALSE.	Response for Imaging modalitiesAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Mental health measures Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: Instrument-level list (PHQ-9, etc.) for the extension wave not published on reviewed pages Apr 2026.	Response for Mental health measuresAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Data subcategories

Structured modality and subcategory rows used alongside the high-level data-type flags.

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Data subcategories Recommended List key data subcategories using distinct rows for category markers, named questionnaire/interview instruments, biospecimen types, omics/genomics data products, imaging modalities, sensor streams, and linked-record types.	No value held	No source yet	No citation linked to this field yet.	Response for Data subcategoriesAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Field

Current value

Evidence

Source evidence

Response

Notes / correction

Data subcategories

Recommended

List key data subcategories using distinct rows for category markers, named questionnaire/interview instruments, biospecimen types, omics/genomics data products, imaging modalities, sensor streams, and linked-record types.

No value held

No source yet

No citation linked to this field yet.

AccurateNeeds correctionNot sureDoes not apply

Consent and use permissions

Specific use permissions separate from the 3D consent-level axis.

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Consent and use permissions Recommended Confirm health/biomedical research use, industry/commercial consideration, non-commercial restrictions, governance modifiers, recontact, trial approach, biosample use, linkage, sharing, international transfer, and any Section 251/CAG support.	No value held	No source yet	No citation linked to this field yet.	Response for Consent and use permissionsAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Field

Current value

Evidence

Source evidence

Response

Notes / correction

Consent and use permissions

Recommended

Confirm health/biomedical research use, industry/commercial consideration, non-commercial restrictions, governance modifiers, recontact, trial approach, biosample use, linkage, sharing, international transfer, and any Section 251/CAG support.

No value held

No source yet

No citation linked to this field yet.

AccurateNeeds correctionNot sureDoes not apply

Access pathways

One or more routes by which researchers can request or analyse data.

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Access pathways Recommended Confirm all data access pathways, including route, access level, TRE/SDE or download/API environment, DAC review, collaboration requirements, data sharing agreements, output checking, timelines, and fees.	No value held	No source yet	No citation linked to this field yet.	Response for Access pathwaysAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Field

Current value

Evidence

Source evidence

Response

Notes / correction

Access pathways

Recommended

Confirm all data access pathways, including route, access level, TRE/SDE or download/API environment, DAC review, collaboration requirements, data sharing agreements, output checking, timelines, and fees.

No value held

No source yet

No citation linked to this field yet.

AccurateNeeds correctionNot sureDoes not apply

Within-cohort coverage

Aggregate counts or percentages showing how broadly data, consent, or access characteristics apply within the cohort.

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Within-cohort coverage metrics Recommended Provide numerator, denominator, unit type, numerator/denominator exactness qualifiers, denominator type, basis, date/release, original source wording, and whether each metric is marginal, joint, conditional, or a release total.	No value held	No source yet	No citation linked to this field yet.	Response for Within-cohort coverage metricsAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Field

Current value

Evidence

Source evidence

Response

Notes / correction

Within-cohort coverage metrics

Recommended

Provide numerator, denominator, unit type, numerator/denominator exactness qualifiers, denominator type, basis, date/release, original source wording, and whether each metric is marginal, joint, conditional, or a release total.

No value held

No source yet

No citation linked to this field yet.

AccurateNeeds correctionNot sureDoes not apply

Linkage and access

Field	Current value	Evidence	Source evidence	Response	Notes / correction
NHS linkage Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “These measures will be combined with data from speech-based artificial intelligence, wearable devices and medical records.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Medical records integration supports NHS hospital record linkage at minimum; GP-specific linkage not separately asserted → has_gp_linkage remains default FALSE.	Response for NHS linkageAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
GP linkage Recommended	No	Not published	Searched — not published UNSOURCEABLE-as-FALSE: Reviewed King's article mentions medical records generally but does not explicitly confirm primary-care GP record linkage; conservative default remains FALSE.	Response for GP linkageAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Death registry linkage Recommended	No	Not published	Searched — not published UNSOURCEABLE-as-FALSE: No ONS mortality linkage statement on reviewed pages.	Response for Death registry linkageAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Education linkage Recommended	No	Not published	Searched — not published UNSOURCEABLE-as-FALSE: No education/DfE linkage statement on reviewed pages.	Response for Education linkageAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Data access mechanism Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: Access mechanism not described on reviewed umbrella pages; not inferring from other cohorts.	Response for Data access mechanismAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
TRE platform Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: No named TRE/SDE for this programme on reviewed pages.	Response for TRE platformAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Data dictionary URL Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: No data-dictionary URL found on reviewed GOV.UK or King's pages; GLAD homepage HTML (local_file gladstudy_org_uk_home_2026-04-16.html) substring search found no data dictionary link text.	Response for Data dictionary URLAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Data access timeline (days) Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: No turnaround metric published.	Response for Data access timeline (days)AccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Data access cost Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: No cost schedule published on reviewed pages.	Response for Data access costAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Participant profile and dates

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Age distribution Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: No Table 1 age bands for this programme name on reviewed GOV.UK or King's pages Apr 2026; programme not yet recruiting per King's May/June 2026 note.	Response for Age distributionAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Sex distribution Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: No sex split published for the MHG extension target population on reviewed pages.	Response for Sex distributionAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Ethnicity distribution Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: No ethnicity breakdown published for this programme on reviewed pages.	Response for Ethnicity distributionAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Smoking status distribution Recommended	No value held	No source yet	No citation linked to this field yet.	Response for Smoking status distributionAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Median age Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: No median age on reviewed pages.	Response for Median ageAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Percent female Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: No sex percentage on reviewed pages.	Response for Percent femaleAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Percent non-white Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: No ethnicity percentage on reviewed pages.	Response for Percent non-whiteAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Geographic coverage Recommended	national	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “nationally representative 'multi-omics' dataset for severe depression” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research geographic_coverage set to national based on nationally representative wording plus four-nation collaborator list in the same article.	Response for Geographic coverageAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Follow-up duration Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: Follow-up horizon not quantified on reviewed pages.	Response for Follow-up durationAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Last data collection date Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: Programme pre-recruitment for extension wave per King's May/June 2026 note.	Response for Last data collection dateAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Recruitment start date Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: Only May/June 2026 month window stated; exact opening day not published.	Response for Recruitment start dateAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Recruitment end date Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: No closure date published.	Response for Recruitment end dateAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Diagnosis areas

Mental health diagnosis areas represented in this cohort.

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Diagnosis area: Schizophrenia Recommended Confirm this diagnosis area applies and estimated N if shown.	Schizophrenia · Psychotic Disorders	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research estimated_n NULL: 8,000 figure is programme target for psychosis stream, not area-specific enrolled counts. King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “another 8,000-participant study for psychosis” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Psychosis arm mapped conservatively to diagnosis_area_id=1 (Schizophrenia) as the closest psychotic-disorders bucket in db/seed/diagnosis_areas.sql; human may refine to First-episode psychosis if protocol text prefers.	Response for Diagnosis area: SchizophreniaAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Diagnosis area: Major depressive disorder Recommended Confirm this diagnosis area applies and estimated N if shown.	Major depressive disorder · Mood Disorders	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research estimated_n NULL: programme gives 12,000 severe MDD to GLAD and 8,000 psychosis separately; not apportioning overlapping denominators here. King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “King's researchers will recruit an additional 12,000 participants with recurrent, severe major depressive disorder to GLAD, expanding the existing cohort.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Maps diagnosis_area_id=5 (Major depressive disorder) from ICD-10 F32-F33 seed list.	Response for Diagnosis area: Major depressive disorderAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Field

Current value

Evidence

Source evidence

Response

Notes / correction

Diagnosis area: Schizophrenia

Recommended

Confirm this diagnosis area applies and estimated N if shown.

Schizophrenia · Psychotic Disorders

Field-cited

King's College London — Mental Health Goals programme news (Jan 2026)
https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research
Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research
estimated_n NULL: 8,000 figure is programme target for psychosis stream, not area-specific enrolled counts.
King's College London — Mental Health Goals programme news (Jan 2026)
https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research
Section: Developing the world's largest dataset for depression
“another 8,000-participant study for psychosis”
Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research
Psychosis arm mapped conservatively to diagnosis_area_id=1 (Schizophrenia) as the closest psychotic-disorders bucket in db/seed/diagnosis_areas.sql; human may refine to First-episode psychosis if protocol text prefers.

AccurateNeeds correctionNot sureDoes not apply

Diagnosis area: Major depressive disorder

Recommended

Confirm this diagnosis area applies and estimated N if shown.

Major depressive disorder · Mood Disorders

Field-cited

King's College London — Mental Health Goals programme news (Jan 2026)
https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research
Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research
estimated_n NULL: programme gives 12,000 severe MDD to GLAD and 8,000 psychosis separately; not apportioning overlapping denominators here.
King's College London — Mental Health Goals programme news (Jan 2026)
https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research
Section: Developing the world's largest dataset for depression
“King's researchers will recruit an additional 12,000 participants with recurrent, severe major depressive disorder to GLAD, expanding the existing cohort.”
Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research
Maps diagnosis_area_id=5 (Major depressive disorder) from ICD-10 F32-F33 seed list.

AccurateNeeds correctionNot sureDoes not apply

Linked sites

Sites contributing participants or data to this cohort.

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Linked site: NIHR Maudsley Biomedical Research Centre Recommended	NIHR Maudsley Biomedical Research Centre · London	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: GLAD study context (same article) “The GLAD study is led by the Social, Genetic & Developmental Psychiatry Centre at the Institute of Psychiatry, Psychology & Neuroscience, King's College London and the National Institute for Health and Care Research (NIHR) Mental Health BioResource at NIHR Maudsley Biomedical Research Centre” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research site_id=1 NIHR Maudsley BRC is the NIHR Mental Health BioResource host named alongside GLAD delivery.	Response for Linked site: NIHR Maudsley Biomedical Research CentreAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Linked site: Queen's University Belfast Recommended	Queen's University Belfast · Northern Ireland	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “alongside Queens University Belfast and University of Edinburgh.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research site_id=24 Queen's University Belfast named depression collaborator.	Response for Linked site: Queen's University BelfastAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Linked site: University of Edinburgh Recommended	University of Edinburgh · Scotland	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “alongside Queens University Belfast and University of Edinburgh.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research site_id=12 University of Edinburgh named depression multi-omics collaborator.	Response for Linked site: University of EdinburghAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Linked site: National Centre for Mental Health Recommended	National Centre for Mental Health · Wales	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Developing the world's largest dataset for depression “partner initiative for psychosis led by Professor James Walters at Cardiff University” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research site_id=15 (National Centre for Mental Health) is the Cardiff-led mental health research centre in the seed used to represent Cardiff University psychosis leadership named in the article.	Response for Linked site: National Centre for Mental HealthAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Verification metadata

Internal catalogue status — for reference only.

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Verification status Recommended	unverified	Internal	Internal catalogue field	—	—
Last verified Recommended	16 Apr 2026	Internal	Internal catalogue field	—	—
Data source Recommended	Verified Apr 2026 from GOV.UK Mental Health Goals HTML, King's College London MHG programme news HTML, GLAD study homepage HTML, DIGIT data-population-plan excerpt file, HDR UK Innovation Gateway search results HTML (healthdatagateway.org), DPUK homepage HTML (no UK Minds match), Google Scholar web search ("cohort profile" UK Minds), ClinicalTrials.gov API v2 JSON (UK Minds), ISRCTN XML API (UK Minds), shared sources registry metadata (ids 1,3,7,11,12,21,161).	Internal	Internal catalogue field	—	—