Comma-separated-values (CSV) is a useful data serialization and sharing format. This talk introduces the idea of CSV-LD as a CSV-based format to serialize Linked Data, mirroring the way that JSON-LD is a JSON-based format to serialize Linked Data. "CSV" here includes any dialect that uses a different delimiter, such as tab-separated-values (TSV). The syntax of CSV-LD is designed to easily integrate into workflows that already use CSV, and provides a smooth upgrade path from CSV to CSV-LD. It is primarily intended to be a way to use Linked Data as part of spreadsheet-based data entry; to facilitate data validation, display, and conversion of CSV into other formats via use of CSV on the Web (CSVW) metadata; and to build FAIR data services.
\n\nThe term "CSV-LD" was previously used to describe a now-obsoleted precursor to the CSVW specifications; both approaches require a second file, a JSON-LD template document, to be shared along with a CSV file. The approach described here, in contrast, requires only a CSV file from the data producer, one that includes links to CSVW-powered metadata.
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\r\n\r\nSlides from presentations at csv,conf,v6 held online on May 4-5, 2021.
\r\n\r\ncsv,conf brings diverse groups together to discuss data topics, and features stories about data sharing and data analysis from science, journalism, government, and open source.
\r\n\r\ncsv,conf is a non-profit community conference run by folks who really love data and sharing knowledge. If you are as passionate about data and its application to society as we are, then this is the conference for you.
\r\n\r\ncsv,conf conferences aren't just about spreadsheets. We curate content on broader topics like advancing the art of data collaboration- from putting your data on public repos, to producing meaningful insight by running large scale distributed processing on a cluster.
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