๐†๐ซ๐ž๐ž๐ญ๐ข๐ง๐ ๐ฌ ๐Ÿ๐ซ๐จ๐ฆ ๐†๐ฅ๐จ๐›๐š๐ฅ ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก & ๐“๐ซ๐š๐ข๐ง๐ข๐ง๐ , ๐๐ž๐ฐ ๐ƒ๐ž๐ฅ๐ก๐ข !!

๐”๐ฉ๐ ๐ซ๐š๐๐ž ๐˜๐จ๐ฎ๐ซ ๐ƒ๐š๐ญ๐š ๐€๐ง๐š๐ฅ๐ฒ๐ฌ๐ข๐ฌ & ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก ๐’๐ค๐ข๐ฅ๐ฅ๐ฌ ๐ฐ๐ข๐ญ๐ก ๐†๐ฅ๐จ๐›๐š๐ฅ ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก & ๐“๐ซ๐š๐ข๐ง๐ข๐ง๐ , ๐๐ž๐ฐ ๐ƒ๐ž๐ฅ๐ก๐ข!

We offer comprehensive, professionally structured online trainings and workshops designed for students, research scholars, early-career researchers, faculty members, academicians, and working professionals.

๐–๐ž๐›๐ฌ๐ข๐ญ๐ž: ๐ฐ๐ฐ๐ฐ.๐ ๐ซ๐ญ๐ž๐๐ฎ.๐œ๐จ๐ฆ
๐„๐ฆ๐š๐ข๐ฅ: ๐ข๐ง๐Ÿ๐จ@๐ ๐ซ๐ญ๐ž๐๐ฎ.๐œ๐จ๐ฆ

#GlobalResearchAndTraining #OnlineWorkshops #DataAnalysis #ResearchSkills #Microdata

๐†๐ซ๐ž๐ž๐ญ๐ข๐ง๐ ๐ฌ ๐Ÿ๐ซ๐จ๐ฆ ๐†๐ฅ๐จ๐›๐š๐ฅ ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก & ๐“๐ซ๐š๐ข๐ง๐ข๐ง๐ , ๐๐ž๐ฐ ๐ƒ๐ž๐ฅ๐ก๐ข !!

๐”๐ฉ๐ ๐ซ๐š๐๐ž ๐˜๐จ๐ฎ๐ซ ๐ƒ๐š๐ญ๐š ๐€๐ง๐š๐ฅ๐ฒ๐ฌ๐ข๐ฌ & ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก ๐’๐ค๐ข๐ฅ๐ฅ๐ฌ ๐ฐ๐ข๐ญ๐ก ๐†๐ฅ๐จ๐›๐š๐ฅ ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก & ๐“๐ซ๐š๐ข๐ง๐ข๐ง๐ , ๐๐ž๐ฐ ๐ƒ๐ž๐ฅ๐ก๐ข!

We offer comprehensive, professionally structured online trainings and workshops designed for students, research scholars, academicians, and professionals

๐–๐ž๐›๐ฌ๐ข๐ญ๐ž: ๐ฐ๐ฐ๐ฐ.๐ ๐ซ๐ญ๐ž๐๐ฎ.๐œ๐จ๐ฆ
๐„๐ฆ๐š๐ข๐ฅ: ๐ข๐ง๐Ÿ๐จ@๐ ๐ซ๐ญ๐ž๐๐ฎ.๐œ๐จ๐ฆ

#GlobalResearchAndTraining #OnlineWorkshops #DataAnalysis #ResearchSkills #Microdata #SPSS #STATA #RStudio #Python #Econometrics
#Education #Academic

๐Ÿ“ข #Internship opportunity at the OECD - OCDE Spatial Productivity Lab, starting early 2026

Are you interested to join our SPL team in Trento, Italy?
The SPL concentrates on quantitative analysis using #microdata, e.g. on employees or firms, and other #bigdata sources (such as vacancy data, project level FDI data, and a variety of web scraped data) to create innovative #regional indicators on economic activity and assess economic complexity and relatedness within and across regional economies.

Dear Fediverse, do you have examples of microdata improving accessibility in any way?

#accessibility #microdata #semantic #a11y

๐Ÿš€ New: R-Setups for EU-LFS Data Now Available! ๐Ÿ“Š

For the first time, we are providing R-Setups for the EU-LFS data! ๐ŸŽ‰
They are now available for the 2023 yearly data:
https://www.gesis.org/en/missy/materials/EU-LFS/setups

More setups for earlier years are coming soon! Stay tuned! ๐Ÿ”๐Ÿ“ˆ

#DataAnalysis #EU #microdata #science

GESIS: MISSY - Setups: EU-LFS

GESIS Leibniz Institut fรผr Sozialwissenschaften

We have prepared new Setups for the EU-LFS release 2024.

Setups in Stata and SPSS are now available for all yearly data from 2006 to 2023 and allow the conversion of CSV data into system files.

You can download the Setups here:
https://www.gesis.org/en/missy/materials/EU-LFS/setups

#EU #microdata #socialscience #science

GESIS: MISSY - Setups: EU-LFS

GESIS Leibniz Institut fรผr Sozialwissenschaften

Blog: Strength of One

A man and his cigar on whatever comes our way

New LFS data release 2024: Setups for the 2021-2023 data are now available! ๐Ÿ“Š Convert CSV files into system files for Stata & SPSS. Access them here:
https://www.gesis.org/en/missy/materials/EU-LFS/setups
#microdata
#EU
#LFS
#socialscience
GESIS: MISSY - Setups: EU-LFS

GESIS Leibniz Institut fรผr Sozialwissenschaften

Microdata for books - HTMHell

A collection of bad practices in HTML, copied from real websites.

Microdata for books - HTMHell

The four most popular ways to use RDF-based metadata on websites are RDFa-Core, RDFa-Lite, Microdata, and inline JSON-LD.

I canโ€™t use RDFa-Lite because I need rel HTML attributes. rel silently upgrades RDFa-Lite to RDFa-Core, which parses differently. I doubt all parsers upgrade correctly; some will try to parse RDFa-Core as RDFa-Lite. Conformant RDFa parsers upgrade RDFa-Lite pages to RDFa-Core despite many authors only being familiar with RDFa-Lite. I suppose resources like Schema.org and Googleโ€™s documentation only documenting RDFa-Lite markup worsens the confusion. Update 2024-12-16: Sarven Capadisli has clarified on the Fediverse that this is the behavior of one faulty parser; rel only triggers an upgrade when used with an RDFa namespace. I may re-evaluate RDFa.

With RDFa split between two incompatible alternatives with a confusing upgrade mechanism, the alternatives are Microdata and JSON-LD. I use structured data extensively; JSON-LD would duplicate most of the page. Letโ€™s use this relatively short article as an example. Exruct can convert the embedded Microdata into a massive JSON document featuring JSON-LD. Take a look at the JSON-LD and HTML side by side. Microdata attributes take a fraction of the footprint, encode the same information, and donโ€™t require duplicating nearly the entire page.

Originally posted on seirdy.one: See Original (POSSE). #Microdata #SemanticWeb #RDFa #HTML

The difference between RDFaโ€™s property and rel attributes

You can easily get unexpected HTML+RDFa Lite parsing results by unknowingly using it with RDFa Core attributes that just happens to also be HTML attributes.