Volume 49 - Article 40 | Pages 1117–1162  

Programmatic access to open statistical data for population studies: The SDMX standard

By Frans Willekens

References

Agresti, A. (2013). Categorical data analysis. Wiley.

Download reference:

Bauer, P.C. and Landesvatter, C. (2023). Writing a reproducible paper with R Markdown and Pagedown.

Weblink:
Download reference:

Bishop, Y.M., Fienberg, S.E., and Holland, P.W. (2007). Discrete multivariate analysis: Theory and practice. Cambridge, Mass: MIT Press.

Download reference:

Blondel, E. (2023). rsdmx – Tools for eeading SDMX data and metadata in R (R package Version 0.6-3) [electronic resource].

Blondel, E. (2015). rsdmx – tools for reading SDMX data and metadata documents in R(slides) [electronic resource].

Blondel, E. (2023). rsdmx Quickstart guide [electronic resource].

European Commission Expert Group on FAIR Data (2018). Turning FAIR data into reality. Brussels: European Commission.

Weblink:
Download reference:

Frank, M. and Hartgerink, C. (2017). RMarkdown for writing reproducible scientific papers [electronic resource].

Gillman, D. (2023). Achieving transparency: A metadata perspective. Data Intelligence 5(1): 261–274.

Weblink:
Download reference:

Gylling, K.C. (2019). Pyscbwrapper 0.1.1.

Weblink:
Download reference:

IUSSP – CODATA Working Group on FAIR Vocabularies (2023). FAIR Vocabularies in population Research. Report of the IUSSP – CODATA Working Group on FAIR Vocabularies. Paris: IUSSP; CODATA.

Weblink:
Download reference:

Macoveiciuc, A. (2020). Beginner’s guide to APIs, protocols and formats. Frontend Digest 29(April).

Magnusson, M., Kainu, M., Huovari, J., and Lahti, L. (2022). pxweb: R Interface to PXWEB APIs. Version 0.16.2 [electronic resource].

Mészáros, M. (2023). Restatapi: Search and retrieve data from Eurostat Database (r Package Version 0.20.6) [electronic resource].

National Academies of Sciences, Engineering, Medicine, and others, (2022). Transparency in statistical information for the National Center for Science and Engineering Statistics and All Federal Statistical Agencies. Washington, DC: The National Academies Press.

Weblink:
Download reference:

Ooms, J. (2014). The jsonlite package: A practical and consistent mapping between JSON data and R objects [electronic resource].

Weblink:
Download reference:

Piburn, J. (2020). wbstats: Programmatic Access to the World Bank API. Oak Ridge, Tennessee: Oak Ridge National Laboratory.

Weblink:
Download reference:

Queljoe, M. de (2023). readsdmx: Read SDMX-XML Data [electronic resource].

Weblink:
Download reference:

R Core Team (2022). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.

Weblink:
Download reference:

Ševčı́ková, H. (2023). wpp2022 United Nations World Population Prospects 2022 [electronic resource].

Weblink:
Download reference:

Stahl, R. and Staab, P. (2018). Measuring the data universe. Data integration using statistical data and metadata exchange. Springer.

Weblink:
Download reference:

Thiry, G., Manolescu, I., and Liberti, L. (2020). A question answering system for interacting with SDMX databases. In: NLIWOD 2020-6th natural language interfaces for the web of data/workshop (in conjunction with ISWC. .

Wickham, H. (2019). Advanced R. Boca Raton, Florida: CRC press.

Weblink:
Download reference:

Wickham, H. (2023). httr: Tools for Working with URLs and HTTP (R Package Version 1.4.6).

Weblink:
Download reference:

Wickham, H., Hester, J., and Ooms, J. (2021). Xml2: Parse XML (R Package Version 1.3.3).

Weblink:
Download reference:

Wilkinson, M.D., Dumontier, M., Aalbersberg, IjJ, Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.W., Silva Santos, L.B.da, and Bourne, P.E. (2016). The FAIR guiding principles for scientific data management and stewardship. Scientific Data 3(1): 1–9.

Weblink:
Download reference:

World Wide Web Consortium (2014). The RDF data cube vocabulary [electronic resource].

Weblink:
Download reference:

Xie, Y. (2023). Knitr: A General-Purpose Package for Dynamic Report Generation in R. Version 1.44 [electronic resource].

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