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Reproducibility package for The Potential Market For Care In East Asia And Pacific

2026
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Reference ID
RR_ASI_2026_676
DOI
https://doi.org/10.60572/pntm-fm08
Author(s)
Daniel Halim, Aaditya Mattoo, Nadia Esham
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
Jun 23, 2026
Last modified
Jun 29, 2026
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  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Citation

    • Overview

    Abstract

    Markets and public institutions must anticipate evolving care demand driven by East Asia and the Pacific’s rapid demographic transition. To this end, we develop the Care Simulation Model, a demographic model that estimates gaps in child- and eldercare needs by integrating life-cycle care needs with the availability of intergenerational family caregivers. The model quantifies unmet care needs and translates them into estimates of potential market size and employment creation in childcare and eldercare. By 2030, unmet need across 21 EAP countries corresponds to 19.9 million potential jobs in childcare and 34.1 million in eldercare. The framework provides a transparent, cross-country tool to inform care policy, workforce planning, and investment strategies.

    Reproducibility Package

    Scripts
    Get Reproducibility Package
    File name
    RR_ASI_2026_676
    Zip package
    RR_ASI_2026_676.zip
    Title
    Reproducibility package for The Potential Market For Care In East Asia And Pacific
    Date
    2026-06
    Dependencies
    Stata dependencies are listed in the ado folder.
    Instructions
    See README in reproducibility package.
    Notes
    Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank.
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    Name
    Stata
    Version
    18.0 MP
    Name
    Python
    Version
    3.11.15
    Name
    Excel
    Version
    2605

    Reproducibility

    Technology environment

    Paper exhibits were reproduced on a computer with the following specifications:
    • OS: Windows 11 Enterprise
    • Processor: INTEL(R) XEON(R) PLATINUM 8562Y+ (2.80 GHz) (2 processors)
    • Memory available: 128.0 GB
    Technology requirements

    Run time: ~ 90 minutes
    Reproduction instructions

    To reproduce the findings in this paper, a replicator must:

    1. Secure Access to Data: Access the datasets not included in the package. See the Datasets section for more details.
    2. Run the Package:
      • Update the working directory in line 17 of the do-file "main.do", and run step 1.
      • Restore the environment in "environment.txt", and run "02_generator.py".
      • Run steps 3 and 4 in the do-file "main.do".

    Since some the raw data cannot be redistributed, the package includes the outputs produced by the authors, which can be used to review the results presented in the paper.

    Data

    Datasets
    Name
    World Bank Country and Lending Groups
    Note
    Data accessed in October 2025. Global country classification by income and lending group. File location: CLASS_2025_07_02.xlsx.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://www.worldbank.org/en/about/legal/terms-of-use-for-datasets
    Data URL
    https://ddh-openapi.worldbank.org/resources/DR0095333/download
    Citation
    World Bank. 2025. "World Bank Country and Lending Groups" [dataset]. https://ddh-openapi.worldbank.org/resources/DR0095333/download. Accessed October 2025.
    Name
    Standard Country or Area Codes for Statistical Use (M49)
    Note
    Data accessed in October 2025. Global country/area code mapping. File location: UNSD — Methodology.csv.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License URL
    https://www.un.org/en/about-us/terms-of-use
    Data URL
    https://unstats.un.org/unsd/methodology/m49/overview/
    Citation
    United Nations Statistics Division. 2025. "Standard Country or Area Codes for Statistical Use (M49)" [dataset]. https://unstats.un.org/unsd/methodology/m49/overview/. Accessed October 2025.
    Name
    IPUMS International
    Note
    Data accessed in October 2025. Version 7.6. IPUMS_CareSimulation.dta is the Stata-format version of the raw IPUMS International extract ipumsi_00005.dat; no variables were added or altered in conversion. Data extract requested via IPUMS International (registration and application required). Detailed assembly guide in the README. File location: IPUMS_CareSimulation.dta.
    Access policy
    Data is publicly available but does not allow redistribution and it is not included in the reproducibility package.
    License URL
    https://international.ipums.org/international/terms.shtml
    Data URL
    https://international.ipums.org/international/index.shtml
    Citation
    Steven Ruggles, Lara Cleveland, Rodrigo Lovatón Dávila, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee, Nate Merrill. Integrated Public Use Microdata Series, International: Version 7.6 [dataset]. Minneapolis, MN: IPUMS, 2025. https://doi.org/10.18128/D020.V7.6
    Name
    IPUMS Multiple Indicator Cluster Surveys (MICS)
    Note
    Data accessed in October 2025. Data extract requested via IPUMS MICS (registration and application required). Detailed assembly guide in the README. File location: MICS_CareSimulation.dta.
    Access policy
    Data is publicly available but does not allow redistribution and it is not included in the reproducibility package.
    License URL
    https://mics.ipums.org/mics/terms.shtml
    Data URL
    https://mics.ipums.org/mics/
    Citation
    Anna Bolgrien, Elizabeth Heger Boyle, Matthew Sobek, Miriam L. King. IPUMS MICS: Version 1.4 [Harmonization Code]. Minneapolis, MN: IPUMS, 2025. https://doi.org/10.18128/D082.V1.4
    Name
    Demographic and Health Surveys (DHS) STATcompiler
    Note
    Data accessed in November 2025. Aggregate indicators extracted for Cambodia, Indonesia, Myanmar, Papua New Guinea, Philippines, Thailand, Timor-Leste, Turkey, and Vietnam. Indicators include children ever born, mean age at first birth and first marriage (by current age 20–45), and mean years of education (women and men). Registration required. File location: STATcompilerExport2025114_21321.xlsx.
    Access policy
    Data is publicly available but does not allow redistribution and it is not included in the reproducibility package.
    License URL
    https://dhsprogram.com/Data/terms-of-use.cfm
    Data URL
    https://www.statcompiler.com
    Citation
    ICF. 2015. The DHS Program STATcompiler. Funded by USAID. http://www.statcompiler.com. Accessed November 2025.
    Name
    Human Fertility Database – Japan Cohort Fertility
    Note
    Data accessed in October 2025. Cohort summary indicators by birth order; cohort mean age at first birth by age 40. Account registration required for download. File location: HFD_Japan_AgeFirstBirth.txt.
    Access policy
    Data is publicly available but does not allow redistribution and it is not included in the reproducibility package.
    License URL
    https://www.humanfertility.org/Home/Terms
    Data URL
    https://www.humanfertility.org/Country/Country?cntr=JPN
    Citation
    Human Fertility Database. 2025. Max Planck Institute for Demographic Research (Germany) and Vienna Institute of Demography (Austria). "Human Fertility Database" [dataset]. www.humanfertility.org. Accessed October 2025.
    Name
    UN Demographic Statistics Database
    Note
    Data accessed in October 2025. Population census datamart, Table 58. File location: UNdata_Export_20251016_034820166.csv.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License URL
    https://data.un.org/Host.aspx?Content=UNdataUse
    Data URL
    https://data.un.org/
    Citation
    United Nations Statistics Division. 2025. "UN Demographic Statistics Database, Table 58" [dataset]. https://data.un.org. Accessed October 2025.
    Name
    Barro-Lee Educational Attainment Dataset
    Note
    Data accessed in May 2026. Retrieved via World Bank WDI API. Indicators: BAR.SCHL.1519, BAR.SCHL.2024, BAR.SCHL.2529, BAR.SCHL.3034, BAR.SCHL.3539, BAR.SCHL.4044, BAR.SCHL.4549, BAR.SCHL.5054, BAR.SCHL.5559, BAR.SCHL.6064, BAR.SCHL.6569, BAR.SCHL.7074. Barro-Lee 2021 update; original methodology Barro and Lee (2013). File location: BarroLee_YearsOfSchool.dta.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://www.worldbank.org/en/about/legal/terms-of-use-for-datasets
    Data URL
    https://databank.worldbank.org/source/world-development-indicators
    Citation
    Barro, R. and Lee, J.W. 2013. "A New Data Set of Educational Attainment in the World, 1950–2010." Journal of Development Economics 104: 184–198. https://doi.org/10.1016/j.jdeveco.2012.10.001. Accessed via World Bank WDI API, May 2026.
    Name
    UNESCO Institute for Statistics – Education Indicators
    Note
    Data accessed in May 2026. Retrieved via World Bank WDI API. Indicators: SE.SCH.LIFE (school life expectancy), SE.PRM.AGES (primary school starting age). File location: UNESCO_YearsOfSchool.dta.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://www.worldbank.org/en/about/legal/terms-of-use-for-datasets
    Data URL
    https://databank.worldbank.org/source/world-development-indicators
    Citation
    UNESCO Institute for Statistics. 2026. "UIS.Stat Bulk Data Download Service" [dataset]. Montreal: UNESCO Institute for Statistics. https://uis.unesco.org. Accessed May 2026.
    Name
    World Population Prospects 2024
    Note
    Data accessed in October 2025. Four files from WPP 2024 (medium variant): (1) WPP2024_Fertility_by_Age1.csv — fertility rates by single age; (2) WPP2024_Demographic_Indicators_Medium.csv — demographic indicators; (3) WPP2024_Population1JanuaryBySingleAgeSex_Medium_1950-2023.csv — population by single age and sex, 1950–2023; (4) WPP2024_Population1JanuaryBySingleAgeSex_Medium_2024-2100.csv — population by single age and sex, 2024–2100.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 3.0 IGO (CC BY 3.0 IGO)
    License URL
    https://creativecommons.org/licenses/by/3.0/igo/
    Data URL
    https://population.un.org/wpp/
    Citation
    United Nations, Department of Economic and Social Affairs, Population Division. 2024. "World Population Prospects 2024" [dataset]. https://population.un.org/wpp/. Accessed October 2025.
    Name
    Estimates and Projections of Family Planning Indicators 2024
    Note
    Data accessed in October 2025. Proportion and number of women of reproductive age (15–49) married or in a union, 1970–2030. File location: undesa_pd_1970-2030_fp_rev-2024_rev.xlsx.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 3.0 IGO (CC BY 3.0 IGO)
    License URL
    https://creativecommons.org/licenses/by/3.0/igo/
    Data URL
    https://www.un.org/development/desa/pd/data/family-planning-data
    Citation
    United Nations, Department of Economic and Social Affairs, Population Division. 2024. "Estimates and Projections of Family Planning Indicators 2024" [dataset]. https://www.un.org/development/desa/pd/data/family-planning-data. Accessed October 2025.
    Name
    Global Burden of Disease 2021 – Life Expectancy and Healthy Life Expectancy at Age 15
    Note
    Data accessed in January 2026. Two files: GBD_LE15.dta (life expectancy at age 15, 1990–2050) and GBD_HALE15.dta (healthy life expectancy at age 15, 1990–2050). Historical values (1990–2021) are publicly downloadable from the GBD Results tool (free account required at gbd2021.healthdata.org/gbd-results). Forecast values (2022–2050) were obtained by request to gbdsec@uw.edu and received from ruris@uw.edu. Redistribution restricted under IHME Free-of-Charge Non-Commercial User Agreement.
    Access policy
    Data access was granted directly to the study authors by the data owners. It was obtained with a custom data license that does not allow for redistribution and it is not included in the reproducibility package.
    License URL
    https://www.healthdata.org/data-tools-practices/data-practices/ihme-free-charge-non-commercial-user-agreement
    Data URL
    https://vizhub.healthdata.org/gbd-results/
    Citation
    Institute for Health Metrics and Evaluation (IHME). 2025. "GBD Results" [dataset]. Seattle, WA: IHME, University of Washington. https://vizhub.healthdata.org/gbd-results/. GBD 2021 Forecasting Collaborators. 2024. "Burden of disease scenarios for 204 countries and territories, 2022–2050." The Lancet. Accessed January 2026.
    Name
    Women, Business and the Law
    Note
    Data accessed in October 2025. Retrieved via WDI API (Gender Data Portal). Indicators: SG.AGE.RTRE.FE (mandatory retirement age), SG.AGE.RTRE.FL.FE (minimum retirement age for full benefits). File location: WBL_retirementAge.dta.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://creativecommons.org/licenses/by/4.0/
    Data URL
    https://wbl.worldbank.org/
    Citation
    World Bank. 2024. "Women, Business and the Law" [dataset]. Washington, DC: World Bank. https://wbl.worldbank.org. Accessed October 2025.
    Name
    Official Age of Compulsory Schooling
    Note
    Data accessed in May 2026 (UIS) and October 2025 (national legislation). Author-compiled dataset combining UIS indicator UIS.CEAGE.1 retrieved via World Bank WDI API, supplemented with national legislation for Cambodia (Law on Education NS/RKM/1207/032: https://cdc.gov.kh/wp-content/uploads/2022/04/LAW-ON-EDUCATION_071208-.pdf) and Fiji (Education Act [EDU 14,015]: https://laws.gov.fj). File location: WDI_compulsorySchoolAge.dta.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://creativecommons.org/licenses/by/4.0/
    Citation
    Authors' compilation. 2026. "Official Age of Compulsory Schooling" [dataset]. Based on UNESCO Institute for Statistics (UIS indicator UIS.CEAGE.1) via World Bank WDI API, and national legislation for Cambodia and Fiji. Accessed May 2026.
    Name
    Primary School Instruction Hours
    Note
    Data accessed in October–November 2025. Manually compiled by the authors from OECD instruction-time data and national Ministry of Education sources. Compilation method: compulsory instruction hours per year divided by days of schooling; under 40 hours/week or 8 hours/day classified as 'half-day.' Sources: OECD (2017) Do Students Spend Enough Time Learning? (SGP, THA, HKG); OECD (2023) PISA 2022 Results Volume II (BRN, TUR); OECD Education at a Glance data viewer (AUS, JPN, KOR); Philippines DepEd Order No. 021, s. 2019; New Zealand Ministry of Education; World Bank (2025) Instruction Time and Student Learning P500538 (KHM, IDN, LAO, MYS, MMR, VNM); Xu (2023) Science Insights Education Frontiers (China). File location: primarySchool_hours.xlsx.
    Access policy
    Data is publicly available and included in the reproducibility package.
    Citation
    Authors' compilation. 2025. "Primary School Instruction Hours" [dataset]. Based on OECD instruction-time data and national Ministry of Education sources. Accessed October–November 2025.
    Name
    Childcare Policy Details
    Note
    Data accessed in October 2025. Manually compiled by the authors from ILO, World Bank (WBL), and national sources. Sources: ILO (2022) Care at Work (Table A.7: starting age of entitlement); World Bank WBL (2024) Childcare EAP Profile (Table 5); World Bank WBL (2022) (Figure 5); Fiji Ministry of Education Pre-Primary Education Policy (2025, definition 4.1.4); Hong Kong SAR Working Family Allowance Scheme. File location: ILO_childcare_policyDetailed.xlsx.
    Access policy
    Data is publicly available and included in the reproducibility package.
    Citation
    Authors' compilation. 2025. "Childcare Policy Details" [dataset]. Based on ILO (2022), World Bank Women Business and the Law (2022, 2024), and national sources. Accessed October 2025.
    Name
    World Urbanization Prospects: The 2018 Revision
    Note
    Data accessed in October 2025. File F02 (proportion urban). File location: WUP2018-F02-Proportion_Urban.xlsx.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 3.0 IGO (CC BY 3.0 IGO)
    License URL
    https://creativecommons.org/licenses/by/3.0/igo/
    Data URL
    https://population.un.org/wup/
    Citation
    United Nations, Department of Economic and Social Affairs, Population Division. 2018. "World Urbanization Prospects: The 2018 Revision" [dataset]. https://population.un.org/wup/. Accessed October 2025.
    Name
    World Development Indicators
    Note
    Data accessed in May 2026. Retrieved via WDI API. Indicators: urban population % of total, employment, ILO modelled estimates. Employment indicators originate from the ILO. File location: WB_urban_formalization.dta.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://www.worldbank.org/en/about/legal/terms-of-use-for-datasets
    Data URL
    https://databank.worldbank.org/source/world-development-indicators
    Citation
    World Bank. 2026. "World Development Indicators" [dataset]. Washington, DC: World Bank. https://databank.worldbank.org/source/world-development-indicators. Indicators: SP.URB.TOTL.IN.ZS; SL.EMP.WORK.ZS; SL.EMP.TOTL.SP.ZS. Accessed May 2026.
    Name
    ILOSTAT Employment by Sex and Economic Activity
    Note
    Data accessed in October 2025. Bulk indicators downloaded from ILOSTAT bulk download facility: EMP_2EMP_SEX_ECO_NB_A and EMP_TEMP_SEX_EC2_NB_A. File locations: EMP_2EMP_SEX_ECO_NB_A-20251022T1539.dta; EMP_TEMP_SEX_EC2_NB_A-20251022T0821.dta.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Open Access Policy
    License URL
    https://www.ilo.org/rights-and-permissions
    Data URL
    https://ilostat.ilo.org/
    Citation
    International Labour Organization. 2025. "ILOSTAT — Employment by sex and economic activity" [dataset]. Geneva: ILO. https://ilostat.ilo.org. Accessed October 2025.
    Name
    Gapminder – Children per Woman (Total Fertility Rate)
    Note
    Data accessed in October 2025. Gapminder TFR series (v14), compiled by Gapminder from UN sources including UN World Population Prospects. File location: GM-Fertility rates - Dataset - v14.xlsx.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://creativecommons.org/licenses/by/4.0/
    Data URL
    https://www.gapminder.org/data/documentation/gd008/
    Citation
    Gapminder. 2025. "Children per woman (total fertility rate), v14" [dataset]. https://www.gapminder.org/data/documentation/gd008/. Accessed October 2025.
    Name
    UNESCO UIS Teacher Data
    Note
    Data accessed in October 2025. UNESCO teacher data indicators: UIS-EducationOPRI indicators 42116, 20160, 20162, 20182, 20176, 25003. File location: data.csv.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
    License URL
    https://creativecommons.org/licenses/by-sa/4.0/
    Data URL
    https://databrowser.uis.unesco.org/
    Citation
    UNESCO Institute for Statistics. 2025. "UIS Data Browser" [dataset]. https://databrowser.uis.unesco.org. Accessed October 2025.
    Name
    Harmonized Household Survey Data
    Note
    Data accessed in December 2024. Retrieved via datalibweb (World Bank internal tool). Command: datalibweb, country(FJI FSM IDN KHM KIR LAO MHL MMR MNG MYS NRU PHL PNG SLB THA TLS TON TUV VNM VUT WSM) year(1996/2023) type(eappov) mod(i) clear. Access requires prior approval from the relevant country economists in the World Bank East Asia and Pacific Poverty team (EAPPOV). Only aggregated results may be reported; raw data cannot be redistributed. Documentation: https://github.com/worldbank/datalibweb. File location: HH_SES_individual_MASTER.dta.
    Access policy
    Data access requires purchase or human approval and is not included in the reproducibility package.
    License
    datalibweb Terms of Use
    License URL
    https://github.com/worldbank/datalibweb
    Data URL
    https://github.com/worldbank/datalibweb
    Citation
    World Bank. 2024. "EAPPOV Harmonized Household Survey Data" [dataset]. Accessed via datalibweb. Unpublished data. Accessed December 2024.
    Name
    Database on Household Size and Composition 2022
    Note
    Data accessed in October 2025. Global household size and composition indicators. File location: undesa_pd_2022_hh-size-composition.xlsx.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 3.0 IGO (CC BY 3.0 IGO)
    License URL
    https://creativecommons.org/licenses/by/3.0/igo/
    Data URL
    https://www.un.org/development/desa/pd/household-size-and-composition
    Citation
    United Nations, Department of Economic and Social Affairs, Population Division. 2022. "Database on Household Size and Composition 2022" [dataset]. https://www.un.org/development/desa/pd/household-size-and-composition. Accessed October 2025.
    Name
    UNESCO UIS Data
    Note
    Data accessed in November 2025. Indicators: UIS-EducationOPRI indicators 10, 299902, 299905, 999973. File location: officialStartingAge.csv. Net enrollment rate indicators: NER.0.CP, NER.01.CP, NER.02.CP, NERT.1.CP. File location: enrollment.csv.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
    License URL
    https://creativecommons.org/licenses/by-sa/4.0/
    Data URL
    https://databrowser.uis.unesco.org/
    Citation
    UNESCO Institute for Statistics. 2025. "UIS Data Browser" [dataset]. https://databrowser.uis.unesco.org. Accessed November 2025.
    Data statement

    Some data is restricted and has not been included in the reproducibility package. For more details, please refer to the README file.

    Description

    Output
    Type
    Working Paper
    Title
    The Potential Market For Care In East Asia And Pacific
    Description
    Policy Research Working Papers (PRWP)
    Authors
    Author Affiliation Email
    Daniel Halim World Bank dhalim@worldbank.org
    Aaditya Mattoo World Bank amattoo@worldbank.org
    Nadia Esham World Bank nesham@worldbank.org
    Date of production

    2026-06-22

    Scope and coverage

    Geographic locations
    Location Code
    Asia ASI
    Keywords
    Childcare Eldercare Demographics Transition Family Caregivers
    Topics
    ID Topic Parent topic ID Vocabulary Vocabulary URI
    J11 Demographic Trends, Macroeconomic Effects, and Forecasts J1 Journal of Economic Literature (JEL)
    J13 Fertility • Family Planning • Child Care • Children • Youth J1 Journal of Economic Literature (JEL)
    J14 Economics of the Elderly • Economics of Disability • Non-Labor Market Discrimination J1 Journal of Economic Literature (JEL)
    J16 Economics of Gender • Non-labor Discrimination J1 Journal of Economic Literature (JEL)

    Disclaimer

    Disclaimer

    The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.

    Access and rights

    License
    Name URI
    MIT License https://opensource.org/license/mit
    World Bank IGO Rider https://github.com/worldbank/metadata-editor/blob/main/WB-IGO-RIDER.md

    Contacts

    Contacts
    Name Affiliation Email
    Daniel Halim World Bank dhalim@worldbank.org
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation Role
    Reproducibility WBG DECDI World Bank - Development Impact Department Verification and preparation of metadata
    Date of Production

    2026-06-22
    Document version

    1

    Citation

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