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Paper Type
ERF
Abstract
Data crowdsourcing is the mobilization of large groups of contributors—often volunteers via the Internet—to collect and/or analyze data. Research on data crowdsourcing often prioritizes the data consumer or project sponsor. Significant gaps remain in understanding how to address design issues from the perspective of data crowdsourcing contributors. A systematic literature review is an ideal method for identifying gaps in how researchers conceptualize contributions in data crowdsourcing. This project presents a protocol for such a systematic literature review of data crowdsourcing. We will use the protocol to guide a subsequent systematic literature review and the construction of a data-information-knowledge-wisdom chart that identifies critical gaps and opportunities for research in data crowdsourcing systems.
Recommended Citation
Murphy, Ryan J. A. and Parsons, Jeffrey, "What the Crowd Sources: A Protocol for a Contribution-Centred Systematic Literature Review of Data Crowdsourcing Research" (2020). AMCIS 2020 Proceedings. 16.
https://aisel.aisnet.org/amcis2020/virtual_communities/virtual_communities/16
What the Crowd Sources: A Protocol for a Contribution-Centred Systematic Literature Review of Data Crowdsourcing Research
Data crowdsourcing is the mobilization of large groups of contributors—often volunteers via the Internet—to collect and/or analyze data. Research on data crowdsourcing often prioritizes the data consumer or project sponsor. Significant gaps remain in understanding how to address design issues from the perspective of data crowdsourcing contributors. A systematic literature review is an ideal method for identifying gaps in how researchers conceptualize contributions in data crowdsourcing. This project presents a protocol for such a systematic literature review of data crowdsourcing. We will use the protocol to guide a subsequent systematic literature review and the construction of a data-information-knowledge-wisdom chart that identifies critical gaps and opportunities for research in data crowdsourcing systems.
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