Have a personal or library account? Click to login
Data Management Documentation in Citizen Science Projects: Bringing Formalisation and Transparency Together Cover

Data Management Documentation in Citizen Science Projects: Bringing Formalisation and Transparency Together

Citizen Science: Theory and Practice
Volume 8 (2023): Issue 1
By: Gefion Thuermer,  Esteban González Guardia,  Neal Reeves,  Oscar Corcho and  Elena Simperl  
Open Access
|Jun 2023

References

  1. 1Aanensen, DM, Huntley, DM, Feil, EJ, al-Own, F and Spratt, BG. 2009. EpiCollect: Linking smartphones to web applications for epidemiology, ecology and community data collection. PLOS ONE, 4(9): e6968. DOI: 10.1371/journal.pone.0006968
    Back to article
  2. 2Adler, P. 2015. AHRQ, NASA, USDA release plans for public access to funded research. Association of Research Libraries. Available at https://www.arl.org/news/ahrq-nasa-usda-release-plans-for-public-access-to-funded-research/ (Last accessed 19 July 2021).
    Back to article
  3. 3Anhalt-Depies, C, Stenglein, JL, Zuckerberg, B, Townsend, PA and Rissman, AR. 2019. Tradeoffs and tools for data quality, privacy, transparency, and trust in citizen science. Biological Conservation, 238: 108195. DOI: 10.1016/j.biocon.2019.108195
    Back to article
  4. 4Atici, L, Kansa, SW, Lev-Tov, J and Kansa, EC. 2013. Other people’s data: a demonstration of the imperative of publishing primary data. Journal of Archaeological Method and Theory, 20(4): 663–681. DOI: 10.1007/s10816-012-9132-9
    Back to article
  5. 5Azhar, A. 2021. 15 reasons why documentation is important? Curious Desire. Available at https://curiousdesire.com/why-documentation-is-important/ (Last accessed 23 May 2023).
    Back to article
  6. 6Bonney, R, Cooper, CB, Dickinson, J, Kelling, S, Phillips, T, Rosenberg, KV and Shirk, J. 2009. Citizen science: a developing tool for expanding science knowledge and scientific literacy. BioScience, 59(11): 977–984. DOI: 10.1525/bio.2009.59.11.9
    Back to article
  7. 7Bowser, A, Cooper, C, Sherbinin, A. de, Wiggins, A, Brenton, P, Chuang, T-R, Faustman, E, Haklay, M and Meloche, M. 2020. Still in need of norms: the state of the data in citizen science. Citizen Science: Theory and Practice, 5(1): 18. DOI: 10.5334/cstp.303
    Back to article
  8. 8Bowser, A, Shilton, K, Preece, J and Warrick, E. 2017. Accounting for privacy in citizen science: ethical research in a context of openness. In: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. Portland, Oregon, USA on 25 February 2017, pp. 2124–2136. DOI: 10.1145/2998181.2998305
    Back to article
  9. 9Bowser, A and Wiggins, A. 2015. Privacy in participatory research: advancing policy to support human computation. Human Computation, 2. DOI: 10.15346/hc.v2i1.3
    Back to article
  10. 10Bowser, A, Wiggins, A, Shanley, L, Preece, J and Henderson, S. 2014. Sharing data while protecting privacy in citizen science. Interactions, 21(1): 70–73. DOI: 10.1145/2540032
    Back to article
  11. 11Burgess, HK, DeBey, LB, Froehlich, HE, Schmidt, N, Theobald, EJ, Ettinger, AK, HilleRisLambers, J, Tewksbury, J and Parrish, JK. 2017. The science of citizen science: Exploring barriers to use as a primary research tool. Biological Conservation, 208: 113–120. DOI: 10.1016/j.biocon.2016.05.014
    Back to article
  12. 12Burnette, M, Williams, S and Imker, H. 2016. From plan to action: successful data management plan implementation in a multidisciplinary project. Journal of eScience Librarianship, 5: e1101. DOI: 10.7191/jeslib.2016.1101
    Back to article
  13. 13Costante, E, Sun, Y, Petković, M and den Hartog, J. 2012. A machine learning solution to assess privacy policy completeness. In: Proceedings of the 2012 ACM workshop on Privacy in the electronic society. WPES ’12. New York, NY, USA on 15 October 2012, pp. 91–96. DOI: 10.1145/2381966.2381979
    Back to article
  14. 14de Sherbinin, A, Bowser, A, Chuang, T-R, Cooper, C, Danielsen, F, Edmunds, R, Elias, P, Faustman, E, Hultquist, C, Mondardini, R, Popescu, I, Shonowo, A and Sivakumar, K. 2021. The Critical Importance of Citizen Science Data, Frontiers in Climate, 3. DOI: 10.3389/fclim.2021.650760
    Back to article
  15. 15ECSA. 2015. Ten principles of citizen science. Available at https://ecsa.citizen-science.net/wp-content/uploads/2020/02/ecsa_ten_principles_of_citizen_science.pdf (Last accessed 23 May 2023)
    Back to article
  16. 16European Commission. n.d. Data management. H2020 Online Manual. Available at https://ec.europa.eu/research/participants/docs/h2020-funding-guide/cross-cutting-issues/open-access-data-management/data-management_en.htm (Last accessed 23 May 2023).
    Back to article
  17. 17Expert Advisory Group on Data Access (EAGDA). 2017. Data management plans: recommendations. Available at https://cms.wellcome.org/sites/default/files/data-management-plans.pdf (Last accessed 23 May 2023).
    Back to article
  18. 18Eynden, V and Bishop, L. 2014. Sowing the Seed: Incentives and motivations for sharing research data, a researchers’ perspective. Available at: https://repository.jisc.ac.uk/5662/1/KE_report-incentives-for-sharing-researchdata.pdf (Last accessed 23 May 2023).
    Back to article
  19. 19Fraisl, D, Campbell, J, See, L, Wehn, U, Wardlaw, J, Gold, M, Moorthy, I, Arias, R, Piera, J, Oliver, JL, Masó, J, Penker, M and Fritz, S. 2020. Mapping citizen science contributions to the UN sustainable development goals. Sustainability Science. DOI: 10.1007/s11625-020-00833-7
    Back to article
  20. 20Freitag, 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. DOI: 10.5334/cstp.6
    Back to article
  21. 21Gajbe, SB, Tiwari, A, Gopalj and Singh, RK. 2021. Evaluation and analysis of data management plan tools: a parametric approach. Information Processing & Management, 58(3): 102480. DOI: 10.1016/j.ipm.2020.102480
    Back to article
  22. 22Gebru, T, Morgenstern, J, Vecchione, B, Vaughan, JW, Wallach, H, Daumé III, H and Crawford, K. 2021. Datasheets for Datasets. Communications of the ACM, 64(12): 86–92. DOI: 10.1145/3458723
    Back to article
  23. 23Geoghegan, H, Dyke, A, Pateman, RM and West, SE. 2016. Understanding motivations for citizen science. UKEOF. Available at https://www.ukeof.org.uk/resources/citizen-science-resources/MotivationsforCSREPORTFINALMay2016.pdf (Last accessed 23 May 2023).
    Back to article
  24. 24Hochachka, WM, Fink, D, Hutchinson, RA, Sheldon, D, Wong, W-K and Kelling, S. 2012. Data-intensive science applied to broad-scale citizen science. Trends in Ecology & Evolution, 27(2): 130–137. DOI: 10.1016/j.tree.2011.11.006
    Back to article
  25. 25Houghton, J and Gruen, N. 2014. Open research data. Report to the Australian National Data Service (ANDS). Available at https://apo.org.au/node/53613 (Last accessed 23 May 2023).
    Back to article
  26. 26Hudson-Vitale, C and Moulaison-Sandy, H. 2019. Data management plans: a review. DESIDOC Journal of Library and Information Technology, 39(6): 322–328. DOI: 10.14429/djlit.39.06.15086
    Back to article
  27. 27Hunter, J, Alabri, A and van Ingen, C. 2013. Assessing the quality and trustworthiness of citizen science data. Concurrency and Computation: Practice and Experience, 25(4): 454–466. DOI: 10.1002/cpe.2923
    Back to article
  28. 28Hunter, J and Hsu, C-H. 2015. Formal acknowledgement of citizen scientists’ contributions via dynamic data citations. In: Allen, RB, Hunter, J and Zeng, ML (eds.), Digital Libraries: Providing Quality Information. Lecture Notes in Computer Science. Cham: Springer International Publishing. pp. 64–75. DOI: 10.1007/978-3-319-27974-9_7
    Back to article
  29. 29Kamocki, P, Mapelli, V and Choukri, K. 2018. Data Management Plan (DMP) for language data under the new General Data Protection Regulation (GDPR). In: Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). Miyazaki, Japan in May 2018.
    Back to article
  30. 30Koesten, L, Gregory, K, Groth, P and Simperl, E. 2021. Talking datasets – Understanding data sensemaking behaviours. International Journal of Human-Computer Studies, 146: 102562. DOI: 10.1016/j.ijhcs.2020.102562
    Back to article
  31. 31Koesten, L, Vougioukli, P, Simperl, E and Groth, P. 2020. Dataset Reuse: Toward Translating Principles to Practice. Patterns, 22. DOI: 10.1016/j.patter.2020.100136
    Back to article
  32. 32Lagoze, C. 2014. eBird: curating citizen science data for use by diverse communities. International Journal of Digital Curation, 9(1): 71–82. DOI: 10.2218/ijdc.v9i1.302
    Back to article
  33. 33Locke, CM, Anhalt-Depies, CM, Frett, S, Stenglein, JL, Cameron, S, Malleshappa, V, Peltier, T, Zuckerberg, B and Townsend, PA. 2019. Managing a large citizen science project to monitor wildlife. Wildlife Society Bulletin, 43(1): 4–10. DOI: 10.1002/wsb.943
    Back to article
  34. 34Molloy, JC. 2011. The Open Knowledge Foundation: Open data means better science. PLOS Biology, 9(12): e1001195. DOI: 10.1371/journal.pbio.1001195
    Back to article
  35. 35National Science Foundation (NSF). n.d. Preparing Your Data Management Plan. Available at https://new.nsf.gov/funding/data-management-plan (Last accessed 23 May 2023).
    Back to article
  36. 36Nature. 2016. Reality check on reproducibility. Nature, 533(7604): 437–437. DOI: 10.1038/533437a
    Back to article
  37. 37Ponti, M and Craglia, M. 2020. Citizen-generated data for public policy. A brief review of European citizen-generated data projects. Available at https://ec.europa.eu/jrc/communities/sites/jrccties/files/jrc120231_citizen-generated_data_for_public_policy.pdf (Last accessed 9 Feb 2021).
    Back to article
  38. 38Reeves, N and the ACTION Consortium. 2021. Database of Citizen Science Projects. DOI: 10.5281/zenodo.5101358.
    Back to article
  39. 39Resnik, DB, Elliott, KC and Miller, AK. 2015. A framework for addressing ethical issues in citizen science. Environmental Science & Policy, 54: 475–481. DOI: 10.1016/j.envsci.2015.05.008
    Back to article
  40. 40Roman, D, Reeves, N, Gonzalez, E, Celino, I, Abd El Kader, S, Turk, P, Soylu, A, Corcho, O, Cedazo, R, Re Calegari, G, Scandolari, D and Simperl, E. 2021. An analysis of pollution Citizen Science projects from the perspective of Data Science and Open Science. Data Technologies and Applications, 55(5): 622–642. DOI: 10.1108/DTA-10-2020-0253
    Back to article
  41. 41Schade, S, Tsinaraki, C and Roglia, E. 2017. Scientific data from and for the citizen. First Monday. DOI: 10.5210/fm.v22i8.7842
    Back to article
  42. 42Simpson, R, Page, KR and De Roure, D. 2014. Zooniverse: observing the world’s largest citizen science platform. In: Proceedings of the 23rd International Conference on World Wide Web. WWW ’14 Companion. New York, NY, USA on 7 April 2014, pp. 1049–1054. DOI: 10.1145/2567948.2579215
    Back to article
  43. 43Smale, NA, Unsworth, K, Denyer, G, Magatova, E and Barr, D. 2020. A review of the history, advocacy and efficacy of data management plans. International Journal of Digital Curation, 15(1): 30. DOI: 10.2218/ijdc.v15i1.525
    Back to article
  44. 44Stevenson, RD, Suomela, T, Kim, H and He, Y. 2021. Seven primary data types in citizen science determine data quality requirements and methods. Frontiers in Climate, 3. DOI: 10.3389/fclim.2021.645120
    Back to article
  45. 45Sturm, U, Schade, S, Ceccaroni, L, Gold, M, Kyba, C, Claramunt, B, Haklay, M, Kasperowski, D, Albert, A, Piera, J, Brier, J, Kullenberg, C and Luna, S. 2017. Defining principles for mobile apps and platforms development in citizen science. Research Ideas and Outcomes, 3: e21283. DOI: 10.3897/rio.3.e21283
    Back to article
  46. 46Sullivan, BL, Phillips, T, Dayer, AA, Wood, CL, Farnsworth, A, Iliff, MJ, Davies, IJ, Wiggins, A, Fink, D, Hochachka, WM, Rodewald, AD, Rosenberg, KV, Bonney, R and Kelling, S. 2017. Using open access observational data for conservation action: a case study for birds. Biological Conservation, 208: 5–14. DOI: 10.1016/j.biocon.2016.04.031
    Back to article
  47. 47Thuermer, G, Reeves, N, Baroni, I, Scandolari, D, Scrocca, M, van Grunsven, R, Maddalena, E, Simperl, E, Austen, K, Hoelker, F, Schroer, S, Grossberndt, S, Roman, D, Passani, A, Firus, K, Gonzalez Fuentetaja, R, González Guardia, E and Corcho, O. 2022. Participatory Science Toolkit Against Pollution. DOI: 10.5281/zenodo.6491235.
    Back to article
  48. 48Tinati, R, Van Kleek, M, Simperl, E, Luczak-Rösch, M, Simpson, R and Shadbolt, N. 2015. Designing for citizen data analysis: a cross-sectional case study of a multi-domain citizen science platform. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. Seoul, Republic of Korea on 18 April 2015. pp. 4069–4078. DOI: 10.1145/2702123.2702420
    Back to article
  49. 49Tsai, J, Kelley, PG, Cranor, LF and Sadeh, N. 2010. Location-sharing technologies: privacy risks and controls. ISJLP, 6: 119.
    Back to article
  50. 50University of Illinois Library. n.d. Introduction to data management for undergraduate students: data documentation. Available at https://guides.library.illinois.edu/introdata/documentation (Last accessed 23 May 2023).
    Back to article
  51. 51Volten, H, Devilee, J, Apituley, A, Carton, L, Grothe, M, Keller, C, Kresin, F, Land-Zandstra, A, Noordijk, E, van Putten, E, Rietjens, J, Snik, F, Tielemans, E, Vonk, J, Voogt, M and Wesseling, J. 2018. Enhancing national environmental monitoring through local citizen science. In: Hecker, S, Haklay, M, Bowser, A, Makuch, Z, Vogel, J and Bonn, A (eds.). Citizen science. Innovation in open science, society and policy. UCL Press. pp. 337–352. DOI: 10.2307/j.ctv550cf2.30
    Back to article
  52. 52Wiggins, A and Crowston, K. 2011. From conservation to crowdsourcing: a typology of citizen science. In: 2011 44th Hawaii International Conference on System Sciences. January 2011 pp. 1–10. DOI: 10.1109/HICSS.2011.207
    Back to article
  53. 53Wiggins, A and He, Y. 2016. Community-based data validation practices in citizen science. In: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing. New York, NY, USA on 27 February 2016, pp. 1548–1559. DOI: 10.1145/2818048.2820063
    Back to article
  54. 54Williams, J, Chapman, C, Leibovici, DG, Loïs, G, Matheus, A, Oggioni, A, Schade, S, See, L and van Genuchten, PPL. 2018. Maximising the impact and reuse of citizen science data. In: Hecker, S, Haklay, M, Bowser, A, Makuch, Z, Vogel, J and Bonn, A (eds.). Citizen science. Innovation in open science, society and policy. UCL Press. pp. 321–336. DOI: 10.2307/j.ctv550cf2.29
    Back to article
DOI: https://doi.org/10.5334/cstp.538 | Journal eISSN: 2057-4991
Journal RSS Feed
Language: English
Submitted on: Jul 1, 2022
Accepted on: May 22, 2023
Published on: Jun 5, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
citizen science,
data management,
data management documentation,
data management plans,
data quality

© 2023 Gefion Thuermer, Esteban González Guardia, Neal Reeves, Oscar Corcho, Elena Simperl, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Previous articleVolume 8 (2023): Issue 1Next article