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  4. pvsR: An Open Source Interface to Big Data on the American Political Sphere
 
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pvsR: An Open Source Interface to Big Data on the American Political Sphere

Journal
PLOS ONE
ISSN-Digital
1932-6203
Type
journal article
Date Issued
2015
Author(s)
Matter, Ulrich  
Stutzer, Alois
DOI
10.1371/journal.pone.0130501
Abstract
Digital data from the political sphere is abundant, omnipresent, and more and more directly accessible through the Internet. Project Vote Smart (PVS) is a prominent example of this big public data and covers various aspects of U.S. politics in astonishing detail. Despite the vast potential of PVS’ data for political science, economics, and sociology, it is hardly used in empirical research. The systematic compilation of semi-structured data can be complicated and time consuming as the data format is not designed for conventional scientific research. This paper presents a new tool that makes the data easily accessible to a broad scientific community. We provide the software called pvsR as an add-on to the R programming environment for statistical computing. This open source interface (OSI) serves as a direct link between a statistical analysis and the large PVS database. The free and open code is expected to substantially reduce the cost of research with PVS’ new big public data in a vast variety of possible applications. We discuss its advantages vis-à-vis traditional methods of data generation as well as already existing interfaces. The validity of the library is documented based on an illustration involving female representation in local politics. In addition, pvsR facilitates the replication of research with PVS data at low costs, including the pre-processing of data. Similar OSIs are recommended for other big public databases.
Language
English
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
PLOS
Publisher place
San Francisco, California, US
Volume
10
Number
7
Start page
1
End page
21
Official URL
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0130501
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/107334
Subject(s)

economics

information managemen...

social sciences

Division(s)

SIAW - Swiss Institut...

Eprints ID
252066
File(s)
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Thumbnail Image

open.access

Name

journal.pone.0130501.PDF

Size

1.22 MB

Format

Adobe PDF

Checksum (MD5)

fc78472f1469b7e202eaeef33870299a

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