DocumentCode
2466822
Title
Qualitocracy: A data quality collaborative framework applied to citizen science
Author
Antelio, Marcio ; Esteves, Maria Gilda P ; Schneider, Daniel ; de Souza, Jano M.
Author_Institution
Grad. Sch. of Eng., Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
fYear
2012
fDate
14-17 Oct. 2012
Firstpage
931
Lastpage
936
Abstract
Citizen science projects generally use the Web platform to promote scientific research and recruit volunteers to assist them. Through a crowdsourcing platform, a large amount of data is submitted and some factors may lead the scientific community to doubt the seriousness of some projects. This may be due to the unreliability of data collected on a voluntary basis and the absence of criteria for quality control of the submitted data. Our main research goal is to propose a collaborative framework for improving data quality. By associating data quality dimensions to scientists through a voting network, we aim to create a continuous process for data quality validation.
Keywords
Internet; groupware; natural sciences computing; quality control; Web platform; citizen science project; crowdsourcing platform; data quality collaborative framework; data quality improvement; data quality validation; qualitocracy; quality control; scientific community; scientific research; voting network; Conferences; Cybernetics; citizen science; collaborative framework; crowdsourcing; data quality;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4673-1713-9
Electronic_ISBN
978-1-4673-1712-2
Type
conf
DOI
10.1109/ICSMC.2012.6377847
Filename
6377847
Link To Document