This page summarizes the relationships among specifications, whether they are finished standards or drafts. Below, each title links to the most recent version of a document.
Below are draft documents: other Working Drafts . Some of these may become Web Standards through the W3C Recommendation Track process. Others may be published as Group Notes or become obsolete specifications.
The Data on the Web Best Practices WG is faced with a substantial challenge in assessing the scope of its work, what problems it should prioritize and what level of advice is most appropriate for it to develop. A a significant amount of work therefore has gone in to collecting use cases from which requirements can be derived for all the WG's planned deliverables. The Use Case document is expected to evolve significantly in future but already today it provides a strong indication of the direction the WG is taking. Further use cases and comments are very welcome.
Tabular data is routinely transferred on the web as "CSV", but the definition of "CSV" in practice is very loose. This document outlines a basic data model or infoset for tabular data and metadata about that tabular data. It also contains some non-normative information about a best practice syntax for tabular data, for mapping into that data model, to contribute to the standardisation of CSV syntax by IETF. Various methods of locating metadata are also provided.
Validation, conversion, display and search of tabular data on the web requires additional metadata that describes how the data should be interpreted. This document defines a vocabulary for metadata that annotates tabular data. This can be used to provide metadata at various levels, from collections of data from CSV documents and how they relate to each other down to individual cells within a table.
A large percentage of the data published on the Web is tabular data, commonly published as comma separated values (CSV) files. The CSV on the Web Working Group aim to specify technologies that provide greater interoperability for data dependent applications on the Web when working with tabular datasets comprising single or multiple files using CSV, or similar, format.