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Data on the Web: New Use Cases, Best Practices, and Recommendations Published by W3C

December 29, 2015 by Gary Price

Here’s a roundup of several new documents from the World Wide Web Consortium.

Two Drafts Published by the Data on the Web Best Practices Working Group

The Data on the Web Best Practices Working Group has published two Working Drafts:

  • Data on the Web Best Practices: Data Quality Vocabulary: This document provides a framework in which the quality of a dataset can be described, whether by the dataset publisher or by a broader community of users. It does not provide a formal, complete definition of quality, rather, it sets out a consistent means by which information can be provided such that a potential user of a dataset can make his/her own judgment about its fitness for purpose.
  • Data on the Web Best Practices: This document provides best practices related to the publication and usage of data on the Web designed to help support a self-sustaining ecosystem. Data should be discoverable and understandable by humans and machines. Where data is used in some way, whether by the originator of the data or by an external party, such usage should also be discoverable and the efforts of the data publisher recognized. In short, following these best practices will facilitate interaction between publishers and consumers.

Spatial Data on the Web Use Cases and Requirements Note Published

The Spatial Data on the Web Working Group has published a Group Note of Spatial Data on the Web Use Cases & Requirements. This document describes use cases that demand a combination of geospatial and non-geospatial data sources and techniques. It underpins the collaborative work of the Spatial Data on the Web Working Groups operated by both W3C and OGC.

CSV on the Web Recommendations Published

  • Model for Tabular Data and Metadata on the Web: An abstract model for tabular data, and how to locate metadata that enables users to better understand what the data holds. This specification also contains non-normative guidance on how to parse CSV files.

Source: W3C Homepage

Filed under: Companies (Publishers/Vendors), Data Files, News, Patrons and Users, Publishing, Roundup

About Gary Price

Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.

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