Characteristics of Open Data CSV Files

Johann Mitlöhner; Sebastian Neumaier; Jürgen Umbrich; Axel Polleres

doi:10.1109/OBD.2016.18

Characteristics of Open Data CSV Files

Johann Mitlöhner, Sebastian Neumaier, Jürgen Umbrich, Axel Polleres

Institute for Data, Process and Knowledge Management (AE Polleres)

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

Abstract

The following work presents a data corpus consisting of tabular Open Data sources and studies the characteristics and properties of the files from a consumers point of view. Earlier reports showed that the CSV (comma-separated values) format is the predominant format in the Open Data landscape [8]. The main reason is the simplicity and independence of this format: it stores tabular data in plain text where each line of the file is a data record. Each record consists of one or more fields which are separated by a delimiter, typically a comma.

Original language	English
Title of host publication	2nd International Conference on Open and Big Data (OBD)
Editors	IEEE
Place of Publication	Vienna, Austria
Publisher	IEEE
Pages	72 - 79
DOIs	https://doi.org/10.1109/OBD.2016.18
Publication status	Published - 2016

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10.1109/OBD.2016.18Licence: Unspecified

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University Library Catalogue

ADEQUATe: Analytics & Data Enrichment to improve the QUAliTy of Open Data
Polleres, A. (PI - Project head), Umbrich, J. (PI - Project head) & Neumaier, S. (Researcher)
1/10/15 → 31/08/18
Project: Research

Cite this

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title = "Characteristics of Open Data CSV Files",

abstract = "The following work presents a data corpus consisting of tabular Open Data sources and studies the characteristics and properties of the files from a consumers point of view. Earlier reports showed that the CSV (comma-separated values) format is the predominant format in the Open Data landscape [8]. The main reason is the simplicity and independence of this format: it stores tabular data in plain text where each line of the file is a data record. Each record consists of one or more fields which are separated by a delimiter, typically a comma.",

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AB - The following work presents a data corpus consisting of tabular Open Data sources and studies the characteristics and properties of the files from a consumers point of view. Earlier reports showed that the CSV (comma-separated values) format is the predominant format in the Open Data landscape [8]. The main reason is the simplicity and independence of this format: it stores tabular data in plain text where each line of the file is a data record. Each record consists of one or more fields which are separated by a delimiter, typically a comma.

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DO - 10.1109/OBD.2016.18

M3 - Contribution to conference proceedings

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EP - 79

BT - 2nd International Conference on Open and Big Data (OBD)

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Characteristics of Open Data CSV Files

Abstract

Access to Document

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Projects

ADEQUATe: Analytics & Data Enrichment to improve the QUAliTy of Open Data

Cite this