Classifying Data Heterogeneity within Budget and Spending Open Data

Download statistics - Document (COUNTER):

Musyaffa, F.A.; Orlandi; F.; Jabeen, H.; Vidal, M.-E.: Classifying Data Heterogeneity within Budget and Spending Open Data. Zenodo (2018). DOI: https://doi.org/10.5281/zenodo.1214517

Repository version

To cite the version in the repository, please use this identifier: https://doi.org/10.15488/3967

Selected time period:

year: 
month: 

Sum total of downloads: 174




Thumbnail
Abstract: 
After a thorough analysis of several budgets and spending datasets, we classified several types of heterogeneities among budget and spending datasets. Pre-print version of the paper accepted at International Conferences on Theory and Practice of Electronic Governance (ICEGOV) 2018 in Galway, Ireland.
License of this version: CC BY 4.0 Unported
Document Type: conferenceObject
Publishing status: acceptedVersion
Issue Date: 2018
Appears in Collections:Zentrale Einrichtungen

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 73 41.95%
2 image of flag of France France 24 13.79%
3 image of flag of Canada Canada 15 8.62%
4 image of flag of No geo information available No geo information available 14 8.05%
5 image of flag of United States United States 14 8.05%
6 image of flag of Pakistan Pakistan 5 2.87%
7 image of flag of India India 5 2.87%
8 image of flag of Russian Federation Russian Federation 4 2.30%
9 image of flag of Indonesia Indonesia 3 1.72%
10 image of flag of Czech Republic Czech Republic 3 1.72%
    other countries 14 8.05%

Further download figures and rankings:


Hinweis

Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.

Search the repository


Browse