Articles and Papers by CKI team, 2008-2021

Publications are listed and linked at Selected Works at eScholarship.com

  • Borgman, C. L., & Wofford, M. F. (2021). From Data Processes to Data Products: Knowledge Infrastructures in Astronomy. Harvard Data Science Review, 3(3). Retrieved from https://doi.org/10.1162/99608f92.4e792052
  • Darch, P. T., Sands, A. E., Borgman, C. L., & Golshan, M. S. (2021). Do the stars align?: Stakeholders and strategies in libraries’ curation of an astronomy dataset. Journal of the Association for Information Science and Technology, 72(2), 239–252. Retrieved from https://doi.org/10.1002/asi.24392
  • Borgman, C. L., Wofford, M. F., Golshan, M. S., & Darch, P. T. (2021). Collaborative Qualitative Research at Scale: Reflections on 20 years of Acquiring Global Data and Making Data Global. Journal of the Association for Information Science & Technology. 72(6), 667–682. Retrieved from https://doi.org/10.1002/ASI.24439
  • Scroggins, M. J., & Pasquetto, I. V. (2020). Labor Out of Place: On the Varieties and Valences of (In)visible Labor in Data-Intensive Science. Engaging Science, Technology, and Society, 6(0), 111–132. Retrieved from https://doi.org/10.17351/ests2020.341
  • Scroggins, M. J., Pasquetto, I. V., Geiger, R. S., Boscoe, B. M., Darch, P. T., Cabasse-Mazel, C., Thompson, C., Golshan, M. S., & Borgman, C. L. (2020). Thorny problems in data (-intensive) science. Communications of the ACM, 63(8), 30–32. Retrieved from https://doi.org/10.1145/3408047
  • Scroggins, M. J., & Pasquetto, I. V. (2020). Towards a Field Guide to the (In)visible Labor of Data-intensive science. Engaging Science, Technology, and Society, 6, 111-132. Retrieved from https://doi.org/10.17351/ests2020.341
  • Scroggins, M. J., & Boscoe, B. M. (2020). Once FITS, always FITS? Astronomical infrastructure in transition. IEEE Annals of the History of Computing, 42 (2), 42-54. Retrieved from https://doi.org/10.1109/MAHC.2020.2986745
  • Darch, P. T., Sands, A. E., Borgman, C. L., & Golshan, M. S. (2020). Do the stars align?: Stakeholders and strategies in libraries’ curation of an astronomy dataset. Journal of the Association for Information Science and Technology, 1–14. Retrieved from https://doi.org/10.1002/asi.24392
  • Darch, P. T., Sands, A. E., Borgman, C. L., & Golshan, M. S. (2020). Library Cultures of Data Curation: Adventures in Astronomy. Journal of the Association for Information Science and Technology, 71, 1470– 1483. Retrieved from https://doi.org/10.1002/asi.24345
  • Borgman, C. L., Darch, P. T., Pasquetto, I. V., & Wofford, M. F. (2020). Our knowledge of knowledge infrastructures: Lessons learned and future directions (Alfred P. Sloan Foundation, p. 27). University of California, Los Angeles. Retrieved from http://escholarship.org/uc/item/9rm6b7d4
  • Borgman, C. L. (2020c). Big Data, Little Data, or No Data? Why Human Interaction with Data is a Hard Problem. Proceedings of the 2020 Conference on Human Information Interaction and Retrieval, 1. Retrieved from https://doi.org/10.1145/3343413.3377979
  • Borgman, C. L. (2020b). Qu’est-ce que le travail scientifique des données ? : Big data, little data, no data. In C. Matoussowsky (Trans.), Qu’est-ce que le travail scientifique des données? : Big data, little data, no data. OpenEdition Press. Retrieved from http://books.openedition.org/oep/14692
  • Borgman, C. L. (2020a). If Data Sharing is the Answer, What is the Question? (Final Report #G‐2015‐14001; Alfred P. Sloan Foundation, Digital Information Technology Program). Center for Knowledge Infrastructures, UCLA.
  • Wofford, M. F., Boscoe, B. M., Borgman, C. L., Pasquetto, I. V., & Golshan, M. S. (2020). Jupyter notebooks as discovery mechanisms for open science: Citation practices in the astronomy community. Computing in Science Engineering, 22(1), 5–15. Retrieved from https://doi.org/10.1109/MCSE.2019.2932067
  • Borgman, C. L., Scharnhorst, A., & Golshan, M. S. (2019). Digital data archives as knowledge infrastructure: Mediators of data Sharing and reuse. Journal of the Association for Information Science & Technology, 70, 888-904. Retrieved from https://doi.org/10.1002/asi.24172
  • Katz, D. S., Allen, G., Barba, L. A., Berg, D. R., Bik, H., Boettiger, C., Borgman, C. L., … Walsh, J. (2018). The principles of tomorrow’s university. F1000Research, 7(1926), Retrieved from https://doi.org/10.12688/f1000research.17425.1
  • Pasquetto, I. V. (2018). From Open Data to Knowledge Production: Biomedical Data Sharing and Unpredictable Data Reuses (Ph.D. Dissertation). UCLA, Los Angeles, CA, 248. Retrieved from https://escholarship.org/uc/item/1sx7v77r
  • Borgman, C. L. (2018). Open Data, Grey Data, and Stewardship: Universities at the Privacy Frontier. Berkeley Technology Law Journal, 33(2), 365-412. Retrieved from https://doi.org/10.15779/Z38B56D489
  • Darch, P. (2018). When Scientists Become Social Scientists: How Citizen Science Projects Learn About Volunteers. International Journal of Digital Curation, 12(2), 61–75. https://doi.org/10.2218/ijdc.v12i2.551
  • Pasquetto, I. V., Randles, B. M., & Borgman, C. L. (2017). On the Reuse of Scientific Data. Data Science Journal, 16. https://doi.org/10.5334/dsj-2017-008
  • Darch, P. T., & Borgman, C. L. (2016). Ship space to database: Emerging infrastructures for studies of the deep subseafloor biosphere. PeerJ Computer Science, 2, e97. https://doi.org/10.7717/peerj-cs.97
  • Borgman, C. L., Darch, P. T., Sands, A. E., & Golshan, M. S. (2016). The durability and fragility of knowledge infrastructures: Lessons learned from astronomy. In Proceedings of the Association for Information Science and Technology (Vol. 53, pp. 1–10). ASIS&T. https://doi.org/10.1002/pra2.2016.14505301057
  • Borgman, C. L., Golshan, M. S., Sands, A. E., Wallis, J. C., Cummings, R. L., Darch, P. T., & Randles, B. M. (2016). Data Management in the Long Tail: Science, Software, and Service. International Journal of Digital Curation, 11(1), 128–149. https://doi.org/10.2218/ijdc.v11i1.428
  • Pasquetto, I. V., Sands, A. E., Darch, P. T., & Borgman, C. L. (2016). Open Data in Scientific Settings: From Policy to Practice. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (pp. 1585–1596). New York, NY, USA: ACM. https://doi.org/10.1145/2858036.2858543
  • Darch, P. T. (2016). Many methods, many microbes: Methodological diversity and standardization in the deep subseafloor biosphere. In iConference 2016 Proceedings. https://doi.org/10.9776/16246
  • Borgman, C. L., Van de Sompel, H., Scharnhorst, A., van den Berg, H., & Treloar, A. (2015). Who Uses the Digital Data Archive? An Exploratory Study of DANS. In Proceedings of the Association for Information Science and Technology (Vol. 52). St. Louis, MO: Information Today. https://doi.org/10.1002/pra2.2015.145052010096
  • Pasquetto, I. V., Sands, A. E., & Borgman, C. L. (2015). Exploring openness in data and science: What is “open,” to whom, when, and why? In Proceedings of the Association for Information Science and Technology (Vol. 52, pp. 1–2). https://doi.org/10.1002/pra2.2015.1450520100141
  • Darch, P. T., & Sands, A. E. (2015). Beyond Big or Little Science: Understanding Data Lifecycles in Astronomy and the Deep Subseafloor Biosphere. Proceedings of the iConference 2015, Long Beach, CA. Retrieved from https://www.ideals.illinois.edu/handle/2142/73655
  • Borgman, C. L., Darch, P. T., Sands, A. E., Pasquetto, I. V., Golshan, M. S., Wallis, J. C., & Traweek, S. (2015). Knowledge infrastructures in science: Data, diversity, and digital libraries. International Journal on Digital Libraries, 16(3-4), 207–227. http://doi.org/10.1007/s00799-015-0157-z [eScholarship Preprint].
  • Darch, P. T., Borgman, C. L., Traweek, S., Cummings, R. L., Wallis, J. C., & Sands, A. E. (2015). What lies beneath?: Knowledge infrastructures in the subseafloor biosphere and beyond. International Journal on Digital Libraries, 16(1), 61–77. http://doi.org/10.1007/s00799-015-0137-3
  • Altman, M., Borgman, C. L., Crosas, M., & Martone, M. (2015). An introduction to the joint principles for data citation. Bulletin of the American Society for Information Science and Technology, 41(3), 43–45. http://doi.org/10.1002/bult.2015.1720410313
  • Sands, A. E., Borgman, C. L., Traweek, S., & Wynholds, L. A. (2014). We’re Working On It: Transferring the Sloan Digital Sky Survey from Laboratory to Library. International Journal of Digital Curation, 9(2), 98–110. doi:10.2218/ijdc.v9i2.336 [Open Access].
  • Darch, P. T. (2014). Managing the Public to Manage Data: Citizen Science and Astronomy. International Journal of Digital Curation, 9(1). doi:10.2218/ijdc.v9i1.298 [Open Access].
  • Wallis, J. C. (2014). Data Producers Courting Data Reusers: Two Cases from Modeling Communities. International Journal of Digital Curation, 9(1). doi:10.2218/ijdc.v9i1.304 [Open Access].
  • Goodman, A., Pepe, A., Blocker, A. W., Borgman, C. L., Cranmer, K., Crosas, M., … Slavkovic, A. (2014). Ten Simple Rules for the Care and Feeding of Scientific Data. PLoS Computational Biology, 10(4), e1003542.  doi:10.1371/journal.pcbi.1003542  [Open Access].
  • Mayernik, M. S., Wallis, J. C., & Borgman, C. L. (2013). Unearthing the infrastructure:  Humans and sensors in field-based research. Computer Supported Cooperative Work, 22(1), 65–101. doi:10.1007/s10606-012-9178-y. [Open Access].
  • Wallis, J. C., Rolando, E., & Borgman, C. L. (2013). If We Share Data, Will Anyone Use Them? Data Sharing and Reuse in the Long Tail of Science and Technology. PLoS ONE, 8(7), e67332. doi:10.1371/journal.pone.0067332. [Open Access].
  • Edwards, P. N., Jackson, S. J., Chalmers, M. K., Bowker, G. C., Borgman, C. L., Ribes, D., … Calvert, S. (2013). Knowledge Infrastructures: Intellectual Frameworks and Research Challenges (p. 40). Ann Arbor, MI: University of Michigan.  http://deepblue.lib.umich.edu/handle/2027.42/97552. [Open Access].
  • Borgman, C. L., Wallis, J. C., & Mayernik, M. S. (2012). Who’s Got the Data? Interdependencies in Science and Technology Collaborations. Computer Supported Cooperative Work, 21(6), 485–523. doi:10.1007/s10606-012-9169-z. [eScholarship Preprint].
  • Wynholds, L. A., Wallis, J. C., Borgman, C. L., Sands, A. E., & Traweek, S. (2012). Data, Data Use, and Scientific Inquiry: Two Case Studies of Data Practices. In Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries (pp. 19–22). New York, NY, USA: Association for Computing Machinery. doi:10.1145/2232817.2232822. [eScholarship Preprint].
  • Wallis, J. C. (2012). The Distribution of Data Management Responsibility within Scientific Research Groups (Ph.D.). University of California, Los Angeles, United States — California. http://search.proquest.com/docview/1029942726/abstract?accountid=14512.
  • Borgman, C. L. (2012). Why Are the Attribution and Citation of Scientific Data Important? In P. F. Uhlir (Ed.), Report from Developing Data Attribution and Citation Practices and Standards: An International Symposium and Workshop. National Academy of Sciences’ Board on Research Data and Information. (pp. 1–8). Washington, D.C.: The National Academies Press. http://www.nap.edu/catalog.php?record_id=13564. [Open Access].
  • Borgman, C. L. (2012). The Conundrum of Sharing Research Data. Journal of the American Society for Information Science and Technology, 63(6), 1059–1078. doi:10.1002/asi.22634.
  • Edwards, P. N., Mayernik, M. S., Batcheller, A. L., Bowker, G. C., & Borgman, C. L. (2011). Science Friction: Data, Metadata, and Collaboration. Social Studies of Science, 41(5), 667–690. doi:10.1177/0306312711413314.
  • Wynholds, L. (2011). Linking to Scientific Data: Identity Problems of Unruly and Poorly Bounded Digital Objects. International Journal of Digital Curation, 6(1), 214–225. doi:10.2218/ijdc.v6i1.183. [Open Access].
  • Wynholds, L. A., Fearon, D. S., Borgman, C. L., & Traweek, S. (2011). When Use Cases Are Not Useful: Data Practices, Astronomy, and Digital Libraries. In Proceedings of the 11th Annual Joint Conference on Digital Libraries (pp. 383–386). Ottawa, Canada: ACM. doi:10.1145/1998076.1998146.
  • Pepe, A., Mayernik, M., Borgman, C. L., & Van de Sompel, H. (2010). From Artifacts to Aggregations: Modeling scientific life cycles on the semantic web. Journal of the American Society for Information Science and Technology, 61(3), 567–582. doi:10.1002/asi.21263 [Arxiv Preprint].
  • Wallis, J. C., Mayernik, M. S., Borgman, C. L., & Pepe, A. (2010). Digital libraries for scientific data discovery and reuse: from vision to practical reality. In Proceedings of the 10th Annual Joint Conference on Digital Libraries (pp. 333–340). Gold Coast, Queensland, Australia: ACM. doi:10.1145/1816123.1816173.
  • Wallis, J. C., Borgman, C. L., Mayernik, M. S., & Pepe, A. (2008). Moving archival practices upstream: An exploration of the life cycle of ecological sensing data in collaborative field research. International Journal of Digital Curation, 3(1), 114–126. doi:10.2218/ijdc.v3i1.46. [Open Access].