Community-based Data Validation Practices in Citizen Science


Autoria(s): Wiggins, Andrea; He, Yurong
Data(s)

10/03/2016

10/03/2016

02/03/2016

Resumo

Technology-supported citizen science has created huge volumes of data with increasing potential to facilitate scientific progress, however, verifying data quality is still a substantial hurdle due to the limitations of existing data quality mechanisms. In this study, we adopted a mixed methods approach to investigate community-based data validation practices and the characteristics of records of wildlife species observations that affected the outcomes of collaborative data quality management in an online community where people record what they see in the nature. The findings describe the processes that both relied upon and added to information provenance through information stewardship behaviors, which led to improved reliability and informativity. The likelihood of community-based validation interactions were predicted by several factors, including the types of organisms observed and whether the data were submitted from a mobile device. We conclude with implications for technology design, citizen science practices, and research.

NSF CCF 1442668

Identificador

doi:10.13016/M2N733

Andrea Wiggins and Yurong He. 2016. Community-based Data Validation Practices in Citizen Science. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW '16). ACM, New York, NY, USA, 1548-1559. DOI=http://dx.doi.org/10.1145/2818048.2820063

10.1145/2818048.2820063

http://hdl.handle.net/1903/17441

Idioma(s)

en_US

Publicador

Association for Computing Machinery

Relação

College of Information Studies

Information Studies

Digital Repository at the University of Maryland

University of Maryland (College Park, MD)

Palavras-Chave #citizen science #information assessability #data quality #data validation #open collaboration
Tipo

Article