Have a personal or library account? Click to login
A Knowledge Perspective on Quality in Complex Citizen Science Cover

A Knowledge Perspective on Quality in Complex Citizen Science

Open Access
|Jul 2020

References

  1. 1Ackerman, MS, Dachtera, J, Pipek, V and Wulf, V. 2013. Sharing Knowledge and Expertise: The CSCW View of Knowledge Management. Computer Supported Cooperative Work, 22(4): 531573. DOI: 10.1007/s10606-013-9192-8
  2. 2Afuah, A and Tucci, CL. 2012. Crowdsourcing as a solution to distant search. Academy of Management Review, 37(3): 355375. DOI: 10.5465/amr.2010.0146
  3. 3Alavi, M and Denford, JS. 2011. Knowledge Management: Process, Practice, and Web 2.0. In: Easterby-Smith, M and Lyles, MA. (eds.), Handbook of Organizational Learning and Knowledge Management. Hoboken, N.J.: Wiley, pp. 105124. DOI: 10.1002/9781119207245.ch6
  4. 4Alvesson, M. 2001. Knowledge Work: Ambiguity, Image and Identity. Human Relations, 54(7): 863886. DOI: 10.1177/0018726701547004
  5. 5Berends, H. 2005. Exploring knowledge sharing: moves, problem solving and justification. Knowledge Management Research and Practice, 3 (2): 97105. DOI: 10.1057/palgrave.kmrp.8500056
  6. 6Blickhan, S, Krawczyk, C, Hanson, D, Boyer, A, Simenstad, A, et al. 2019. Individual vs. Collaborative Methods of Crowdsourced Transcription. Journal of Data Mining and Digital Humanities, Special Issue on Collecting, Preserving, and Disseminating Endangered Cultural Heritage for New Understandings through Multilingual Approaches. Available at: https://jdmdh.episciences.org/5759 (accessed 26 May 2020).
  7. 7Blockmans, W. 2018. Two Cultures into One? European Review, 26(2): 233240. DOI: 10.1017/S1062798717000631
  8. 8Bonney, R, Cooper, C and Ballard, H. 2016. The theory and practice of citizen science: Launching a new journal. Citizen Science: Theory and Practice, 1(1): 1, 14. DOI: 10.5334/cstp.65
  9. 9Bordogna, G, Carrara, P, Criscuolo, L, Pepe, M and Rampini, A. 2014. A linguistic decision making approach to assess the quality of volunteer geographic information for citizen science. Information Sciences, 258: 312327. DOI: 10.1016/j.ins.2013.07.013
  10. 10Brumfield, BW. 2012. Quality Control for Crowdsourced Transcription. Available at: http://manuscripttranscription.blogspot.nl/2012/03/quality-control-for-crowdsourced.html (accessed 3 November 2014).
  11. 11Brumfield, BW. 2020. The Decade in Crowdsourcing Transcription. Available at: https://content.fromthepage.com/decade-in-crowdsourcing/ (accessed 26 May 2020).
  12. 12Causer, T, Grint, K, Sichani, AM and Terras, M. 2018. ‘Making such bargain’: Transcribe Bentham and the quality and cost-effectiveness of crowdsourced transcription. Digital Scholarship in the Humanities, 33(3): 467487. DOI: 10.1093/llc/fqx064
  13. 13Causer, T, Tonra, J and Wallace, V. 2012. Transcription maximized; expense minimized? Crowdsourcing and editing The Collected Works of Jeremy Bentham. Literary and Linguistic Computing, 27(2): 119137. DOI: 10.1093/llc/fqs004
  14. 14Cooper, CB, Dickinson, J, Phillips, T and Bonney, R. 2007. Citizen Science as a Tool for Conservation in Residential Ecosystems. Ecology and Society, 12(2): 1121. DOI: 10.5751/ES-02197-120211
  15. 15Davenport, TH and Prusak, L. 2000. Working knowledge: How organizations manage what they know. Boston: Harvard Business School Press.
  16. 16De la Flor, G, Jirotka, M, Luff, P, Pybus, J and Kirkham, R. 2010. Transforming Scholarly Practice: Embedding Technological Interventions to Support the Collaborative Analysis of Ancient Texts. Computer Supported Cooperative Work, 19(3–4): 309334. DOI: 10.1007/s10606-010-9111-1
  17. 17Dow, S, Kulkarni, A, Klemmer, S and Hartmann, B. 2012. Shepherding the crowd yields better work. In: Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work (CSCW ’12). New York, NY, USA: ACM, pp. 10131022. DOI: 10.1145/2145204.2145355
  18. 18Dunn, S and Hedges, M. 2013. Crowd-sourcing as a Component of Humanities Research Infrastructures. International Journal of Humanities and Arts Computing, 7(1–2): 147169. DOI: 10.3366/ijhac.2013.0086
  19. 19Dunn, S and Hedges, M. 2014. How the Crowd Can Surprise Us: Humanities Crowdsourcing and the Creation of Knowledge. In Ridge, M. (ed.), Crowdsourcing Our Cultural Heritage. Farnham: Ashgate Publishing Ltd, pp. 231246.
  20. 20Eisenhardt, KM. 1989. Building Theories from Case Study Research. Academy of Management Review, 14 (4): 532550. DOI: 10.5465/amr.1989.4308385
  21. 21Eisenhardt, KM. 1991. Better stories and better constructs: The case for rigor and comparative logic. Academy of Management Review, 16(3): 620627. DOI: 10.5465/amr.1991.4279496
  22. 22Eveleigh, A, Jennett, C, Blandford, A, Brohan, P and Cox, AL. 2014. Designing for dabblers and deterring drop-outs in citizen science. In: Proceedings of the 32nd annual ACM conference on Human factors in computing systems, Toronto, Ontario, Canada, pp. 29852994. DOI: 10.1145/2556288.2557262
  23. 23Fiol, CM and O’Connor, EJ. 2005. Identification in Face-to-Face, Hybrid, and Pure Virtual Teams: Untangling the Contradictions. Organization Science, 16(1): 1932. DOI: 10.1287/orsc.1040.0101
  24. 24Franssila, H, Okkonen, J, Savolainen, R and Talja, S. 2012. The formation of coordinative knowledge practices in distributed work: towards an explanatory model. Journal of Knowledge Management, 16(4): 650665. DOI: 10.1108/13673271211246202
  25. 25Franzoni, C and Sauermann, H. 2014. Crowd science: The organization of scientific research in open collaborative projects. Research Policy, 43(1): 120. DOI: 10.1016/j.respol.2013.07.005
  26. 26Freitag, A, Meyer, R and Whiteman, L. 2016. Strategies Employed by Citizen Science Programs to Increase the Credibility of Their Data. Citizen Science: Theory and Practice, 1(1): 2, 111. DOI: 10.5334/cstp.6
  27. 27Gold, RL. 1958. Roles in Sociological Field Observations. Social Forces, 36(3): 217223. DOI: 10.2307/2573808
  28. 28Grant, RM. 1996. Toward a knowledge-based theory of the firm. Strategic Management Journal, 17(Winter Special Issue): 109122. DOI: 10.1002/smj.4250171110
  29. 29Greenberg, S and Roseman, M. 2003. Using a room metaphor to ease transitions in groupware. In: Ackerman, M. S., Pipek, V. and Wulf, V. (eds.), Sharing Expertise: Beyond Knowledge Management. Cambridge, MA: MIT Press, pp. 203256.
  30. 30Haas, MR and Hansen, MT. 2007. Different knowledge, different benefits: Toward a productivity perspective on knowledge sharing in organizations. Strategic Management Journal, 28(11): 11331153. DOI: 10.1002/smj.631
  31. 31Haythornthwaite, C. 2009. Crowds and communities: Light and heavyweight models of peer production. In: Proceedings of the 42nd Hawaii International Conference on System Sciences, pp. 110. DOI: 10.1109/HICSS.2009.137
  32. 32Hedges, M and Dunn, S. 2018. Academic crowdsourcing in the humanities: crowds, communities and co-production. Cambridge, MA: Elsevier. https://www.sciencedirect.com/book/9780081009413/academic-crowdsourcing-in-the-humanities.
  33. 33Hislop, D. 2008. Conceptualizing Knowledge Work Utilizing Skill and Knowledge-based Concepts: The Case of Some Consultants and Service Engineers. Management Learning, 39(5): 579596. DOI: 10.1177/1350507608098116
  34. 34Hislop, D. 2013. Knowledge management in organizations: A critical introduction. Oxford: Oxford University Press.
  35. 35Hislop, D, Bosua, R and Helms, R. 2018. Knowledge management in organizations: A critical introduction. 4th ed. Oxford: Oxford University Press.
  36. 36Hogg, MA. 2001. Social identity and the sovereignty of the group. In: Sedikides, C and Brewer, MB (eds.), Individual self, relational self, collective self. London: Routledge, pp. 123143.
  37. 37Huber, GP. 1991. Organizational learning: The contributing processes and the literatures. Organization Science, 2(1): 88115. DOI: 10.1287/orsc.2.1.88
  38. 38Kane, AA, Argote, L and Levine, JM. 2005. Knowledge transfer between groups via personnel rotation: Effects of social identity and knowledge quality. Organizational Behavior and Human Decision Processes, 96(1): 5671. DOI: 10.1016/j.obhdp.2004.09.002
  39. 39Kittur, A, Nickerson, JV, Bernstein, M, Gerber, E, Shaw, A, Zimmerman, J, Lease, M and Horton, J. 2013. The future of crowd work. In: Proceedings of the 2013 conference on Computer supported cooperative work (CSCW ’13). ACM, New York, NY, USA, pp. 13011318. DOI: 10.1145/2441776.2441923
  40. 40Kogut, B and Zander, U. 1992. Knowledge of the Firm, Combinative Capabilities, and the Replication of Technology. Organization Science, 3(3): 383397. DOI: 10.1287/orsc.3.3.383
  41. 41Lamb, R and Davidson, E. 2005. Information and communication technology challenges to scientific professional identity. The Information Society, 21(1): 124. DOI: 10.1080/01972240590895883
  42. 42Law, E, Gajos, KZ, Wiggins, A, Gray, ML and Williams, A. 2017. Crowdsourcing as a Tool for Research: Implications of Uncertainty. In: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW ’17). New York, NY, USA: ACM, pp. 15441561. DOI: 10.1145/2998181.2998197
  43. 43Miller, S. 2001. Public understanding of science at the crossroads. Public Understanding of Science, 10(1): 115120. https://journals.sagepub.com/doi/10.3109/a036859.
  44. 44Mitchell, EM, Crowston, K and Østerlund, C. 2018. Coordinating advanced crowd work: Extending citizen science. In: Proceedings of the 51st Hawaii International Conference on System Sciences. DOI: 10.24251/HICSS.2018.212
  45. 45Oomen, J and Aroyo, L. 2011. Crowdsourcing in the Cultural Heritage Domain: Opportunities and Challenges. In: Proceedings of the 5th International Conference on Communities and Technologies, pp. 138149. DOI: 10.1145/2103354.2103373
  46. 46Oosterman, J, Bozzon, A, Houben, GJ, Nottamkandath, A, Dijkshoorn, C, Aroyo, L, Leyssen, MHR and Traub, MC. 2014. Crowd vs. experts: nichesourcing for knowledge intensive tasks in cultural heritage. In: Proceedings of the 23rd International Conference on World Wide Web, Seoul, Korea, pp. 567568. DOI: 10.1145/2567948.2576960
  47. 47Patton, MQ. 2002. Qualitative research and evaluation methods. 3rd ed. Thousand Oaks, Calif.: Sage.
  48. 48Ponciano, L and Brasileiro, F. 2014. Finding Volunteers’ Engagement Profiles in Human Computation for Citizen Science Projects. Human Computation, 1(2): 247266. https://arxiv.org/abs/1501.02134.
  49. 49Puranam, P, Alexy, O and Reitzig, M. 2014. What’s “new” about new forms of organizing? Academy of Management Review, 39(2): 162180. DOI: 10.5465/amr.2011.0436
  50. 50Raymond, E. 1999. The cathedral and the bazaar. Knowledge, Technology & Policy, 12(3): 2349. DOI: 10.1007/s12130-999-1026-0
  51. 51Riesch, H and Potter, C. 2014. Citizen science as seen by scientists: Methodological, epistemological and ethical dimensions. Public Understanding of Science, 23(1): 107120. DOI: 10.1177/0963662513497324
  52. 52Robertson, M, Scarbrough, H and Swan, J. 2003. Knowledge creation in professional service firms: Institutional effects. Organization Studies, 24(6): 831831. DOI: 10.1177/0170840603024006002
  53. 53Rotman, 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. In: iConference 2014 Proceedings, Berlin, Germany, pp. 110124. DOI: 10.9776/14054
  54. 54Sauermann, H and Franzoni, C. 2015. Crowd science user contribution patterns and their implications. In: Proceedings of the National Academy of Sciences, 112(3): 679684. DOI: 10.1073/pnas.1408907112
  55. 55Sheppard, SA, Wiggins, A and Terveen, L. 2014. Capturing quality: retaining provenance for curated volunteer monitoring data. In: Proceedings of the 17th ACM conference on Computer supported cooperative work and social computing, Baltimore, Maryland, USA, pp. 12341245. DOI: 10.1145/2531602.2531689
  56. 56Shirk, 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
  57. 57Simula, H. 2013. The Rise and Fall of Crowdsourcing? In: Proceedings of the 46th Hawaii International Conference on System Sciences, pp. 27832791. DOI: 10.1109/HICSS.2013.537
  58. 58Sodré, I and Brasileiro, F. 2017. An Analysis of the Use of Qualifications on the Amazon Mechanical Turk Online Labor Market. Computer Supported Cooperative Work, 26(4): 837872. DOI: 10.1007/s10606-017-9283-z
  59. 59Surowiecki, J. 2005. The wisdom of crowds. New York: Anchor Books.
  60. 60Wasko, MML and Teigland, R. 2004. Public goods or virtual commons? Applying theories of public goods, social dilemmas, and collective action to electronic networks of practice. Journal of Information Technology Theory and Applications, 6(1): 2541. https://aisel.aisnet.org/jitta/vol6/iss1/4/.
  61. 61Weiss, RS. 1994. Learning from strangers: The art and method of qualitative interview studies, New York: The Free Press.
  62. 62West, 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, 110. DOI: 10.5334/cstp.8
  63. 63Wiggins, A and Crowston, K. 2011. From Conservation to Crowdsourcing: A Typology of Citizen Science. In: Proceedings of the 44th Hawaii International Conference on System Sciences, pp. 110. DOI: 10.1109/HICSS.2011.207
  64. 64Wiggins, A, Newman, G, Stevenson, RD and Crowston, K. 2011. Mechanisms for Data Quality and Validation in Citizen Science. In: Proceedings of the 7th IEEE International Conference on e-Science Workshops, pp. 1419. DOI: 10.1109/eScienceW.2011.27
  65. 65Yin, RK. 2014. Case Study Research: Design and Methods. 5th ed. Los Angeles: Sage.
DOI: https://doi.org/10.5334/cstp.250 | Journal eISSN: 2057-4991
Language: English
Submitted on: May 7, 2019
Accepted on: Jun 7, 2020
Published on: Jul 29, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Montserrat Prats López, Maura Soekijad, Hans Berends, Marleen Huysman, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.