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 :
بازگشت