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

Data, Process and Knowledge Management (Polleres)

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

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.

Originalsprache	Englisch
Titel des Sammelwerks	2nd International Conference on Open and Big Data (OBD)
Herausgeber*innen	IEEE
Erscheinungsort	Vienna, Austria
Verlag	IEEE
Seiten	72 - 79
DOIs	https://doi.org/10.1109/OBD.2016.18
Publikationsstatus	Veröffentlicht - 2016

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Katalog der Universitätsbibliothek

ADEQUATe: Analytics & Data Enrichment to improve the QUAliTy of Open Data
Polleres, A. (Projektleitung), Umbrich, J. (Projektleitung) & Neumaier, S. (Forscher*in)
1/10/15 → 31/08/18
Projekt: Forschung

Zitat

@inproceedings{26793491177f4e7ea074f9a3b8c670ea,

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.",

author = "Johann Mitl{\"o}hner and Sebastian Neumaier and J{\"u}rgen Umbrich and Axel Polleres",

year = "2016",

doi = "10.1109/OBD.2016.18",

language = "English",

pages = "72 -- 79",

editor = "IEEE",

booktitle = "2nd International Conference on Open and Big Data (OBD)",

publisher = "IEEE",

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T1 - Characteristics of Open Data CSV Files

AU - Mitlöhner, Johann

AU - Neumaier, Sebastian

AU - Umbrich, Jürgen

AU - Polleres, Axel

PY - 2016

Y1 - 2016

N2 - 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.

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.

U2 - 10.1109/OBD.2016.18

DO - 10.1109/OBD.2016.18

M3 - Contribution to conference proceedings

SP - 72

EP - 79

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

A2 - IEEE, null

PB - IEEE

CY - Vienna, Austria

ER -

Characteristics of Open Data CSV Files

Abstract

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Projekte

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

Zitat