📢 #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

🚀 New: R-Setups for EU-LFS Data Now Available! 📊

For the first time, we are providing R-Setups for the EU-LFS data! 🎉
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! 🔍📈

#DataAnalysis #EU #microdata #science

GESIS: MISSY - Setups: EU-LFS

GESIS Leibniz Institut für 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 für 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! 📊 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 für 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 can’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 Google’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. Let’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 don’t require duplicating nearly the entire page.

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

The difference between RDFa’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.

#TIL about #MicroData, a way of embedding metadata inside #web pages for #SEO.

https://developer.mozilla.org/en-US/docs/Web/HTML/Microdata

Does anyone actually do this in 2024? I feel like semantic HTML combined with #OpenGraph mostly solves this problem. Is this a useful tool for web developers?

Microdata - HTML: HyperText Markup Language | MDN

Microdata is part of the WHATWG HTML Standard and is used to nest metadata within existing content on web pages. Search engines and web crawlers can extract and process microdata from a web page and use it to provide a richer browsing experience for users. Search engines benefit greatly from direct access to this structured data because it allows search engines to understand the information on web pages and provide more relevant results to users. Microdata uses a supporting vocabulary to describe an item and name-value pairs to assign values to its properties. Microdata is an attempt to provide a declarative way of annotating HTML elements with machine-readable tags than the similar approaches of using RDFa and classic microformats.

MDN Web Docs
Here's a fun scrap of CSS to see where Schema .org microdata is on a web page ``` [itemprop]::after { content: "🗂️"; } [itemprop] { outline: 1px dashed pink; } ``` Highlights any elements and displays a cute emoji after them. #Schema #Microdata #HTML #CSS #WebDev #SemanticWeb