References
- 1Aristeidou, M, Scanlon, E and Sharples, M. 2017. Profiles of engagement in online communities of citizen science participation. Computers in Human Behavior, 74: 246–256. DOI: 10.1016/j.chb.2017.04.044
- 2Blohm, I, Zogaj, S, Bretschneider, U and Leimeister, JM. 2018. How to Manage Crowdsourcing Platforms Effectively? California Management Review, 60(2): 122–149. DOI: 10.1177/0008125617738255
- 3Bonney, R, Ballard, H, Jordan, R, McCallie, E, Phillips, T, Shirk, J and Wilderman, C. 2009. Public Participation in Scientific Research: Defining the Field and Assessing its Potential for Informal Science Education. White Paper. CAISE Public Participation in Scientific Research Inquiry Group. Online access at
http://www.informalscience.org/public-participation-scientific-research-defining-field-and-assessing-its-potential-informal-science [Last accessed 12 August 2019]. - 4Brumfield, B. 2012. Quality Control for Crowdsourced Transcription, 5 March 2012. Available at
http://manuscripttranscription.blogspot.nl/2012/03/quality-control-for-crowdsourced.html [Last accessed 12 August 2019]. - 5Causer, T and Wallace, V. 2012. Building a volunteer community: Results and findings from Transcribe Bentham. Digital Humanities Quarterly, 6(2). Available at
http://www.digitalhumanities.org/dhq/vol/6/2/000125/000125.html [Last accessed 12 August 2019] - 6Cooper, CB, Dickinson, J, Phillips, T and Bonney, R. 2007. Citizen Science as a Tool for Conservation in Residential Ecosystems. Ecology and Society, 12(2): 11–21. DOI: 10.5751/ES-02197-120211
- 7Cox, J, Oh, EY, Brooke, S, Lintott, C, Masters, K, Greenhill, A, Graham, G and Holmes, K. 2015. Defining and Measuring Success in Online Citizen Science: A Case Study of Zooniverse Projects. Computing in Science & Engineering, 17(4): 28–41. DOI: 10.1109/MCSE.2015.65
- 8Crall, A, Kosmala, M, Cheng, R, Brier, J, Cavalier, D, Henderson, S and Richardson, AD. 2017. Volunteer recruitment and retention in online citizen science projects using marketing strategies: lessons from Season Spotter. Journal of Science Communication, 16(1): 1–28. DOI: 10.22323/2.16010201
- 9Crawford, ER, Rich, BL, Buchkman, B and Bergeron, J. 2014.
The antecedents and drivers of employee engagement . In: Truss, C, Delbridge, R, Alfes, K, Shantz, A and Soane, E (eds.), Employee Engagement in Theory and Practice, 57–81. Milton Park, Abingdon, Oxon: Routledge. - 10Curtis, V. 2018. Online citizen science and the widening of academia: Distributed engagement with research and knowledge production. Cham, Switzerland: Palgrave Macmillan. DOI: 10.1007/978-3-319-77664-4
- 11De Moor, T and Van Zanden, JL. 2010. Girl power: the European marriage pattern and labour markets in the North Sea region in the late medieval and early modern period. The Economic History Review, 63(1): 1–33. DOI: 10.1111/j.1468-0289.2009.00483.x
- 12Dobreva, M. 2016.
Collective Knowledge and Creativity: The Future of Citizen Science in the Humanities . In: Kunifuji, S, Papadopoulos, GA, Skulimowski, AMJ and Kacprzyk, J (eds.), Knowledge, Information and Creativity Support Systems, 565–573. S.l.: Springer International Publishing. DOI: 10.1007/978-3-319-27478-2_44 - 13Eveleigh, A, Jennett, C, Blandford, A, Brohan, P and Cox, AL. 2014. Designing for dabblers and deterring dropouts in citizen science. CHI ’14 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems Pages, Toronto (Canada),
26 May–1 June 2014 , 2985–2994. DOI: 10.1145/2556288.2557262 - 14Franzoni, C and Sauermann, H. 2014. Crowd science: The organization of scientific research in open collaborative projects. Research Policy, 43(1): 1–20. DOI: 10.1016/j.respol.2013.07.005
- 15Frensley, T, Crall, A, Stern, M, Jordan, R, Gray, S, Prysby, M, Newman, G, Hmelo-Silver, C, Mellor, D and Huang, J. 2017. Bridging the Benefits of Online and Community Supported Citizen Science: A Case Study on Motivation and Retention with Conservation-Oriented Volunteers. Citizen Science: Theory and Practice, 2(1): art. 4. DOI: 10.5334/cstp.84
- 16Jeppesen, LB and Frederiksen, L. 2006. Why Do Users Contribute to Firm-Hosted User Communities? The Case of Computer-Controlled Music Instruments. Organization Science, 17(1): 45–63. DOI: 10.1287/orsc.1050.0156
- 17Lehmann, J, Lalmas, M, Yom-Tov, E and Dupret, G. 2012. Models of User Engagement. In: Masthoff, J, Mobasher, B, Desmarais, MC, and Nkambou, R (eds.), User Modeling, Adaptation, and Personalization. Proceedings of the 20th International Conference, UMAP 2012, Montreal, Canada,
July 2012 , 164–175. Berlin/Heidelberg:Springer Verlag . DOI: 10.1007/978-3-642-31454-4_14 - 18Masters, K, Oh, EY, Cox, J, Simmons, B, Lintott, C, Graham, G, Greenhill, A and Holmes, K. 2016. Science Learning via Participation in Online Citizen Science. Journal of Science Communication, 15(3): 7. DOI: 10.22323/2.15030207
- 19Newton, C, Becker, K and Bell, S. 2014. Learning and development opportunities as a tool for the retention of volunteers: a motivational perspective. Human Resource Management Journal, 24(4): 514–530. DOI: 10.1111/1748-8583.12040
- 20Nov, O, Arazy, O and Anderson, D. 2014. Scientists@Home: What Drives the Quantity and Quality of Online Citizen Science Participation? PLoS ONE, 9(4). DOI: 10.1371/journal.pone.0090375
- 21Ponciano, L and Brasileiro, F. 2014. Finding Volunteers’ Engagement Profiles in Human Computation for Citizen Science Projects. Human Computation, 1(2): 247–266. DOI: 10.15346/hc.v1i2.12
- 22Ponciano, L, Brasileiro, F, Simpson, R and Smith, A. 2014. Volunteers’ Engagement in Human Computation for Astronomy Projects. Computing in Science & Engineering, 16(6): 52–59. DOI: 10.1109/MCSE.2014.4
- 23Preece, J. 2016. Citizen Science: New Research Challenges for Human–Computer Interaction. International Journal of Human–Computer Interaction, 32(8): 585–612. DOI: 10.1080/10447318.2016.1194153
- 24Raddick, MJ, Bracey, G, Gay, PL, Lintott, CJ, Murray, P, Schawinski, K, Szalay, AS and Vandenberg, J. 2010. Galaxy Zoo: Exploring the Motivations of Citizen Science Volunteers. Astronomy Education Review, 9(1). DOI: 10.3847/AER2009036
- 25Riesch, H and Potter, C. 2014. Citizen science as seen by scientists: Methodological, epistemological and ethical dimensions. Public Understanding of Science, 23(1), 107–120. DOI: 10.1177/0963662513497324
- 26Rotman, D, Hammock, J, Preece, J, Hansen, D, Boston, C, Bowser, A and He, Y. 2014. Motivations Affecting Initial and Long-Term Participation in Citizen Science Projects in Three Countries. Paper presented at the iConference 2014, Berlin, Germany
4–7 March, 2014 . Available athttps://www.researchgate.net/publication/266629092_Motivations_Affecting_Initial_and_Long-Term_Participation_in_Citizen_Science_Projects_in_Three_Countries [Last accessed 12 August 2019]. - 27Sauermann, H and Franzoni, C. 2015. Crowd Science User Contribution Patterns and Their Implications. Proceedings of the Natonal Academy of Sciences 112(3): 679–684. DOI: 10.1073/pnas.1408907112
- 28Schaufeli, WB. 2014.
What is engagement? In: Truss, C, Delbridge, R, Alfes, K, Shantz, A and Soane, E (eds.), Employee Engagement in Theory and Practice, 15–35. Milton Park, Abingdon, Oxon: Routledge. - 29Shirk, JL, Ballard, HL, Wilderman, CC, Phillips, T, Wiggins, A, Jordan, R, McCallie, E, Minarchek, M, Lewenstein, BV, Krasny, ME and Bonney, R. 2012. Public Participation in Scientific Research: a Framework for Deliberate Design. Ecology and Society, 17(2): 29. DOI: 10.5751/ES-04705-170229
- 30Simpson, MR. 2009. Engagement at work: A review of the literature. International Journal of Nursing Studies, 46(7): 1012–1024. DOI: 10.1016/j.ijnurstu.2008.05.003
- 31Simula, H. 2013. The Rise and Fall of Crowdsourcing? HICSS ‘13 Proceedings of the 2013 46th Hawaii International Conference on System Sciences (Hawaii,
7–10 January 2013 ), 2783–2791. DOI: 10.1109/HICSS.2013.537 - 32Van der Kraan, S. 2016. Do ut des: het principe van wederkerigheid. Historica Tine de Moor over citizen science en burgercollectieven. EOS wetenschap [2016]. Available at
https://www.iedereenwetenschapper.be/article/do-ut-des-het-principe-van-wederkerigheid . - 33Van der Loo, MPJ. 2014. The Stringdist Package for Approximate String Matching. The R Journal, 6(1): 111–122. DOI: 10.32614/RJ-2014-011
- 34Van der Wal, R, Sharma, N, Mellish, C, Robinson, A and Siddharthan, A. 2016. The role of automated feedback in training and retaining biological recorders for citizen science. Conservation Biology, 30(3): 550–561. DOI: 10.1111/cobi.12705
- 35Van Weeren, R and Boele, A. 2016. Het West-Europese huwelijkspatroon: Beter laat en soms wel nooit? Gen, 22(3): 30–35.
- 36Wald, DM, Longo, J and Dobell, AR. 2016. Design principles for engaging and retaining virtual citizen scientists. Conservation Biology, 30(3): 562–570. DOI: 10.1111/cobi.12627
- 37West, S and Pateman, R. 2016. Recruiting and Retaining Participants in Citizen Science: What Can Be Learned from the Volunteering Literature? Citizen Science: Theory and Practice, 1(2): 15. DOI: 10.5334/cstp.8
- 38Wiggins, A. 2013. Free as in puppies: compensating for ICT constraints in citizen science. Proceedings of the 2013 conference on Computer Supported Cooperative Work, San Antonio, Texas, USA (
23–27 February 2013 ). DOI: 10.1145/2441776.2441942 - 39Wiggins, A and Crowston, K. 2011. From Conservation to Crowdsourcing: A Typology of Citizen Science. Proceedings of the 2011 Hawaii International Conference on System Sciences (Hawaii,
4–7 January 2011 ). DOI: 10.1109/HICSS.2011.207 - 40Wiggins, A and Crowston, K. 2015. Surveying the Citizen Science Landscape. First Monday, 20(1). Available at
https://firstmonday.org/ojs/index.php/fm/article/view/5520/4194 [Last accessed 12 August 2019]. DOI: 10.5210/fm.v20i1.5520 - 41Wiggins, A, Newman, G, Stevenson, RD and Crowston, K. 2011. Mechanisms for Data Quality and Validation in Citizen Science. Proceedings of the 2011 Seventh IEEE International Conference on e-Science Workshops (Stockholm,
5–8 December 2011 ). DOI: 10.1109/eScienceW.2011.27
