{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DIME","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2024-03-04","version":"1"},"project_desc":{"datasets":[{"note":"Source: World Bank \nLocated at: 01_raw_data\/SPI_data.csv","access_type":"Published with package","name":"Statistical Performance Indicators","uri":"https:\/\/www.worldbank.org\/en\/programs\/statistical-performance-indicators"},{"name":"World Development Indicators","access_type":"Published with package. ","note":"Source: World Bank\nLocated at: 01_raw_data, main file is SPI_Index_SDG_comparisons_data_2yr_avg.csv and SPI_regression_predictors.csv. The code  .\/02_programs\/misc\/spi_lit_review_data_preparation.Rmd consults different sources and creates the databases used in the analysis. However, it most be noted that some of the sources consulted online are not version controlled, and running the code that created the main figures (.\/02_programs\/misc\/spi_lit_review_data_preparation.Rmd) will overwrite them and therefore some of the results in the paper could be not reproducible. However, the code is included for transparency purposes. ","uri":"https:\/\/databank.worldbank.org\/source\/world-development-indicators"},{"name":"Open Data Inventory","access_type":"Published with package. ","uri":"https:\/\/odin.opendatawatch.com\/","note":"Source: Open Data Watch-Open Data Inventory www.OpenDataWatch.com"},{"name":"Global Data Barometer","access_type":"Published with package. ","uri":"https:\/\/globaldatabarometer.org\/"},{"name":"Open Data Barometer","uri":"https:\/\/opendatabarometer.org\/?_year=2017&indicator=ODB","access_type":"Published with package. ","note":"Source: Web Foundation (2018). Open Data Barometer \u2013 Leaders Edition. Washington DC: World Wide Web Foundation"}],"software":[{"name":"R","version":"4.2"}],"scripts":[{"title":"Reproducibility package  (partial data and code) for Reviewing Assessment Tools for Measuring Country Statistical Capacity","file_name":"RR_WLD_2024_94-v01.zip","zip_package":"RR_WLD_2024_94-v01.zip","date":"2024-03","description":"The code in this folder generates the tables and figures in the paper \"Reviewing Assessment Tools for Measuring Country Statistical Capacity\" by Hai-Anh H. Dang, John Pullinger, Umar Serajuddin and Brian Stacy","dependencies":"All dependencies are stored in the renv contained in the reproducibility package.","instructions":"See README in reproducibility package.","notes":"Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank."}],"title_statement":{"idno":"RR_WLD_2024_94-v02","title":"Reproducibility package for Reviewing Assessment Tools for Measuring Country Statistical Capacity"},"contacts":[{"name":"Brian Stacy","affiliation":"World Bank","email":"bstacy@worldbank.org"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}],"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.","license":[{"name":"Modified BSD3","uri":"https:\/\/opensource.org\/license\/bsd-3-clause\/"}],"repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"},{"name":"SPI_literature_review_replication","uri":"https:\/\/github.com\/stacybri\/SPI_literature_review_replication","type":"Github"}],"technology_environment":"The code was reproduced on a computer with the following specifications:\n\u2013 OS: Windows 11 Enterprise\n\u2013 Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz\n\u2013 Memory available: 15.7 GB\n\u2013 Software version: R version 4.2","technology_requirements":"~10 minutes runtime","reproduction_instructions":"To run the package a new user should download this package and run the main script located at: 02_programs\/SPI_literature_review_charts.qmd","data_statement":"All data is public and contained in the reproducibility package. Please refer to the README file for full details.","authoring_entity":[{"name":"Hai-Anh H. Dang","email":"hdang@worldbank.org","affiliation":"World Bank"},{"name":"John Pullinger","affiliation":"Former head of the UK National Statistical Service","email":"johnpullingerltd@gmail.com"},{"name":"Umar Serajuddin","affiliation":"World Bank","email":"userajuddin@worldbank.org"},{"name":"Brian Stacy","email":"bstacy@worldbank.org","affiliation":"World Bank"}],"output":[{"type":"Working Paper","description":"Policy Research Working Paper (PRWP) 10717","title":"Reviewing Assessment Tools for Measuring Country Statistical Capacity","uri":"http:\/\/documents.worldbank.org\/curated\/en\/099452403062436721\/IDU19f52d3a9112621410e192c4140dcbc9fad6e","doi":"https:\/\/doi.org\/10.1596\/1813-9450-10717"}],"reproducibility_status":{"type":"Data: All data sources are publicly available and included in the package; Code: All code files (from cleaning to analysis) are included in the package;   Outputs: All outputs are generated by code included in the reproducibility package;  Reproducibility verification: Reviewers had access to the same materials in the public package"},"production_date":"2024-03","abstract":"Country statistical capacity is increasingly recognized as crucial for development, but no academic study exists that reviews the available assessment tools. This paper offer the first review study that fills this gap, paying particular attention to data and practical measurement challenges. It compares the World Bank\u2019s recently developed Statistical Performance Indicators and Index with other widely used indexes, such as the Open Data Inventory index, the Global Data Barometer index, and other regional and self-assessment tools. The findings show that each index brings advantages in data sources, number of indicators, measurement focus, coverage of countries and time periods, and correlation with common development indexes. The Open Data Inventory index covers the most countries, the Global Data Barometer index collects data through its surveys, and the Statistical Performance Indicators and Index offer a broader framework for assessing statistical systems. The paper offers further thoughts on the potential mechanisms through which these tools can bring positive impacts on economic activities and some political economy concerns, as well as future directions for development.","geographic_units":[{"name":"World","code":"WLD","type":"Region"}],"keywords":[{"name":"statistical capacity"},{"name":"statistical performance"},{"name":" statistical indicators"},{"name":"statistical capacity index"},{"name":"national statistical system"}],"topics":[{"vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","id":"C8","name":"Data Collection and Data Estimation Methodology \u2022 Computer Programs","parent_id":"C"},{"vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","id":"H00","name":"General: Public Economics","parent_id":"H"},{"vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","id":"I00","name":"General: Health, Education, and Welfare","parent_id":"I"},{"vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","id":"O1","name":"Economic Development","parent_id":"O"}],"language":[{"name":"English","code":"EN"}]},"tags":[{"tag":"DOI"}],"schematype":"script"}