[Purpose/significance] This paper presents the collaboration model of crowdsourcing research projects, to provide theoretical guidance and action guidelines for the development of collaborative research in China under open environment.[Method/process] This paper analyzed the collaborative process of the Crowd Research project from four-aspects,including the recruitment of public participants, synchronous collaboration, the submission of research results, and the production of academic results. The key steps of each part were described and some implications for the development of crowdsourcing research projects in China were summarized.[Result/conclusion] This paper finds that Crowd Research has developed a new type of collaboration model of crowdsourcing research based on the crowdsourcing technology, in which public scientists can collaborate in the research process under the leadership of professional researchers, including independent selection of milestones, peer review submissions, mutual assignment of contribution values, co-publishing academic papers, etc.
Kou Leilei
,
Zhu Zhongming
,
Bai Linlin
. Exploring the Collaborative Mode of Crowdsourcing Research Project: A Case Study of Crowd Research[J]. Library and Information Service, 2018
, 62(22)
: 146
-152
.
DOI: 10.13266/j.issn.0252-3116.2018.22.018
[1] 余全民, 陈文杰, 邓媚. 关于政府引导下科研众包平台建设的思考[J]. 广东科技, 2016, 25(10):5-8.
[2] 刘启强, 赵恒煜. 科研众包:众智成城的"双创"模式[J]. 广东科技, 2018(1):12-13.
[3] 赵宇翔. 科研众包视角下公众科学项目刍议:概念解析、模式探索及学科机遇[J]. 中国图书馆学报, 2017, 43(5):42-56.
[4] GADIRAJU U, KAWASE R, DIETZE S. A taxonomy of microtasks on the web[C]//ACM Conference on hypertext and social media. New York:ACM, 2014:218-223.
[5] EVOLUTION MEGALAB. Welcome to the evolution megaLab[EB/OL].[2018-04-10]. http://evolutionmegalab.org/.
[6] Crowd research initiative[EB/OL].[2018-04-12]. http://crowdresearchinitiative.stanford.edu/.
[7] UC Santa Cruz + Stanford.Calling aspiring researchers[EB/OL].[2018-04-15]. https://aspiringresearchers.soe.ucsc.edu/faqs.html.
[8] Stanford crowd research. DAEMO[EB/OL].[2018-04-15]. https://www.daemo.org/home.
[9] VEIT A, WILBER M, VAISH R, et al. On optimizing human-machine task assignments[EB/OL].[2018-04-16].https://arxiv.org/pdf/1509.07543.pdf.
[10] VAISH R, GAIKWAD S S, KOVACS G, et al. Crowd research:open and scalable university laboratories[C]//The ACM symposium.New York:ACM, 2017:829-843.
[11] VAISH R, DAVIS J. Crowd sourcing the research process[EB/OL].[2018-04-16].https://systems.soe.ucsc.edu/sites/default/files/CrowdResearch_RajanVaish.pdf.
[12] Stanford HCI Group Crowd Research. main page[EB/OL].[2018-04-18]. http://crowdresearch.stanford.edu/w/index.php?title=Main_Page.
[13] Stanford HCI Group.CREDDIT[EB/OL].[2018-04-20]. https://creddit.stanford.edu/.
[14] GAIKWAD S S, MORINA D, GINZBERG A, et al. Boomerang:rebounding the consequences of reputation feedback on crowdsourcing platforms[C]//Symposium on user interface software and technology.New York:ACM, 2016:625-637.
[15] 闫娜,王伟. 论大学图书馆参与文化建设——以天津财经大学图书馆为例[J]. 图书馆工作与研究,2016(1):13-16.
[16] SHOTTON D,PERONI S. SCoRO, the scholarly contributions and roles ontology[EB/OL].[2018-04-22]. https://sparontologies.github.io/scoro/current/scoro.html.
