![]() ![]() This specification makes use of the following namespaces: csvw: dc: rdf: rdfs: schema: xsd: Typographical conventions This specification makes use of the compact IRI Syntax please refer to the Compact IRIs from ]. However, it does provide some best practice guidelines for publishing tabular data as CSV, in section, and for parsing both this syntax and those similar to it, in. This specification does not normatively define a format for exchanging tabular data. Once an annotated table has been created, it can be processed in various ways, such as display, validation, or conversion into other formats. These annotations are typically supplied through separate metadata files defines how these metadata files can be located, while ] defines what they contain. The model includes annotations, or metadata, about collections of individual tables, rows, columns, and cells. In, this document defines a model for tabular data that abstracts away from the varying syntaxes that are used for when exchanging tabular data. This specification refers to such files, as well as tab-delimited files, fixed field formats, spreadsheets, HTML tables, and SQL dumps as tabular data files. Appendix A describes the various ways in which CSV is defined. Others stick more closely to the most standard definition of CSV that there is, ]. Some people use the term to mean any delimited text file. Tabular data is routinely transferred on the web in a textual format called CSV, but the definition of CSV in practice is very loose. This is what differentiates tabular data from other line-oriented formats. In tabular data, cells within the same column provide values for the same property of the things described by each row. Each row contains the same number of cells (although some of these cells may be empty), which provide values of properties of the thing described by the row. Tabular data is data that is structured into rows, each of which contains information about some thing. We would encourage groups that define tabular data formats to also define a mapping into the annotated tabular data model defined in this document. This specification does not define any formats for embedding metadata within CSV files, aside from the titles of columns in the header row which is defined in CSV. Many files containing tabular data embed metadata, for example in lines before the header row of an otherwise standard CSV document. around encoding and line endings) and contribute to its discussions about moving CSV to the Standards track. The working group's expectation is that future suggestions to refine RFC 4180 will be relayed to the IETF (e.g. This definition of CSV used in this document is based on IETF's ] which is an Informational RFC. This document aims to primarily satisfy the "Access methods for CSV Metadata" recommendation (see ), though it also specifies an underlying model for tabular data and is therefore a basis for the other chartered Recommendations. The CSV on the Web Working Group was chartered to produce a recommendation "Access methods for CSV Metadata" as well as recommendations for "Metadata vocabulary for CSV data" and "Mapping mechanism to transforming CSV into various formats (e.g., RDF, JSON, or XML)". Note, however, that applications may have other means to create annotated tables, e.g., through some application specific API-s this model does not depend on the specificities described in ]. The standard syntax for that metadata is defined in ]. ![]() This specification defines how implementations should locate that metadata, given a file containing tabular data. It also contains some non-normative guidance for publishing tabular data as CSV and how that maps into the tabular data model.Īn annotated model of tabular data can be supplemented by separate metadata about the table. This document outlines a data model, or infoset, for tabular data and metadata about that tabular data that can be used as a basis for validation, display, or creating other formats. Tabular data is routinely transferred on the web in a variety of formats, including variants on CSV, tab-delimited files, fixed field formats, spreadsheets, HTML tables, and SQL dumps. Model for Tabular Data and Metadata on the Web ![]()
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