Publications are listed and linked at Selected Works at eScholarship.com
The eScholarship site contains entries for most of Professor Borgman’s 250+ publications. Also included are abstracts, slides, and video links for presentations, and course syllabi. Entries are grouped by format (e.g., books; journals; book chapters; conference papers; reports, articles, posters, panels, and interviews). Each section is organized in reverse chronological order. The site is also keyword searchable and is updated regularly.
Recent Publications
December 2022 “Data Blind: Universities Lag in Capturing and Exploiting Data” Christine L. Borgman & Amy Brand. Science, vol. 378, no. 6626: 1278–81. DOI: 10.1126/science.add2734 FREE DOWNLOAD LINK: https://www.science.org/
July 2022 “Why It Takes a Village to Manage and Share Data” Christine L. Borgman & Philip E. Bourne. Harvard Data Science Review, 4(3). DOI: 10.1162/99608f92.42eec111 (link to text and citation: Publisher’s version)
July 2021 “From Data Processes to Data Products: Knowledge Infrastructures in Astronomy” Christine L. Borgman & Morgan F. Wofford. Harvard Data Science Review, 3(3). DOI: 10.1162/99608f92.4e792052 (link to text and citation: Publisher’s version)
February 2021 “Do the Stars Align?: Stakeholders and Strategies in Libraries’ Curation of an Astronomy Dataset” Darch, Peter T., Ashley E. Sands, Christine L. Borgman, and Milena S. Golshan. Journal of the Association for Information Science and Technology, 72(2): 239–252. DOI: 10.1002/asi.24392 (link to text and citation)
January 2021 “Collaborative qualitative research at scale: Reflections on 20 years of acquiring global data and making data global” Christine L. Borgman, Morgan F. Wofford, Milena S. Golshan, Peter T. Darch. Journal of the Association for Information Science and Technology, 72(6): 667–682. DOI: 10.1002/asi.24439 (link to text and citation: Publisher’s version ; Author’s version)
December 2020 “Qu’est-ce que le travail scientifique des données ? : Big data, little data, no data. In C. Matoussowsky (Trans.)” Christine L. Borgman. OpenEdition Press. DOI : 10.4000/books.oep.14692 (link to text and citation)
September 2020 “Whose text, whose mining, and to whose benefit?” Christine L. Borgman. Quantitative Science Studies. 2020 (1:3): 993-1000. DOI: 10.1162/qss_a_00053
(link to text and citation: Publisher’s version ; Author’s version)
July 2020 “Thorny problems in data (-intensive) science” Michael J. Scroggins, Irene V. Pasquetto, R. Stuart Geiger, Bernadette M. Boscoe, Peter T. Darch, Charlotte Cabasse-Mazel, Cheryl Thompson, Milena S. Golshan, and Christine L. Borgman. Commun. ACM 63, 8 (August 2020), 30–32. DOI: 10.1145/3408047 (link to text and citation: Publisher’s version ; Author’s version)
June 2020 “Our Knowledge of Knowledge Infrastructures: Lessons Learned and Future Directions” Christine L. Borgman, Peter T. Darch, Irene V. Pasquetto, Morgan F. Wofford. Report of Knowledge Infrastructures Workshop at UCLA, Funded by the Alfred P. Sloan Foundation, Data and Computational Research Program (link to text and citation)
March 2020 “Library Cultures of Data Curation: Adventures in Astronomy” Peter T. Darch, Ashley E. Sands, Christine L. Borgman, Milena S. Golshan. Journal of the Association for Information Science and Technology, 71(12): 1470–1483. DOI: 10.1145/3408047 (link to text and citation: Publisher’s version ; Author’s version)
March 2020 “Big Data, Little Data, or No Data? Why Human Interaction with Data is a Hard Problem” Borgman, C. L. Proceedings of the 2020 Conference on Human Information Interaction and Retrieval, 1. DOI: 10.1145/3343413.3377979 (link to text and citation)
January 2020 “Jupyter Notebooks as Discovery Mechanisms for Open Science: Citation Practices in the Astronomy Community” Morgan F. Wofford, Bernadette M. Boscoe, Christine L. Borgman, Irene V. Pasquetto, Milena S. Golshan. Computing in Science & Engineering, vol. 22 (1): 5-15. DOI: 10.1109/MCSE.2019.2932067 (link to text and citation: Publisher’s Version ; Author’s version)
December 2019 “Knowledge infrastructures in past, present, and future tense” Christine L. Borgman. Borgman Position Paper for KI workshop, Dec 13, 2019 (link to text and citation)
July 2019 “The Lives and After Lives of Data” Christine L. Borgman. Harvard Data Science Review. 1 (1). DOI: 10.1162/99608f92.9a36bdb6 (link to text and citation: Publisher’s version ; Author’s version)
December 2018 “The principles of tomorrow’s university” Daniel S. Katz, Gabrielle Allen, Lorena A. Barba, Devin R. Berg, Holly Bik, Carl Boettiger, Christine L. Borgman, C. Titus Brown, Stuart Buck, Randy Burd, Anita de Waard, Martin Paul Eve, Brian E. Granger, Josh Greenberg, Adina Howe, Bill Howe, May Khanna, Timothy L. Killeen, Matthew Mayernik, Erin McKiernan, Chris Mentzel, Nirav Merchant, Kyle E. Niemeyer, Laura Noren, Sarah M. Nusser, Daniel A. Reed, Edward Seidel, MacKenzie Smith, Jeffrey R. Spies, Matt Turk, John D. Van Horn, Jay Walsh. In F1000Research, 7:1926, 2018. (link to text and citation)
September 2018 “Digital data archives as knowledge infrastructures: Mediating data sharing and reuse” Christine L. Borgman, Andrea Scharnhorst, Milena S. Golshan. Journal of the Association for Information Science and Technology. 70 (8): 888–904. DOI: 10.1002/asi.24172 (link to text and citation: Publisher’s version ; Author’s version)
September 2018 “Open data, grey data, and stewardship: Universities at the privacy frontier” Christine L. Borgman. Berkeley Technology Law Journal 33 (2): 365–412. DOI: 10.15779/Z38B56D489 (link to text and citation: Publisher’s version; Author’s version)
March 2018 “Text data mining from the author’s perspective: Whose text, whose mining, and to whose benefit?” Christine L. Borgman. National Forum: Data Mining Research Using In-copyright and Limited-access Text Datasets, Chicago, IL (link to text and citation)
July 2017 “Using the Jupyter Notebook as a tool for open science: An empirical study” Bernadette M. Randles, Irene V. Pasquetto, Milena S. Golshan, Christine L. Borgman. 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL), Poster: 1–2. (link to text and citation)
March 2017 “On the reuse of scientific data” Irene V. Pasquetto, Bernadette M. Randles, Christine L. Borgman. Data Science Journal 16: 8. DOI: 10.5334/dsj-2017-008 (link to text and citation: Publisher’s version; Author’s version)
December 2016 “The durability and fragility of knowledge infrastructures: Lessons learned from astronomy” Christine L. Borgman, Ashley E. Sands, Peter T. Darch, Milena S. Golshan. Proceedings of the Association for Information Science and Technology 53 (1): 1-10. DOI: 10.1002/pra2.2016.14505301057 (link to text and citation: Publisher’s version; Author’s version)
November 2016 “Ship space to database: emerging infrastructures for studies of the deep subseafloor biosphere” Peter T. Darch, Christine L. Borgman. PeerJ Computer Science 2 (97) (link to text and citation: Publisher’s version)
May 2016 “Data management in the long tail: Science, software and service” Christine L. Borgman, Milena S. Golshan, Ashley E. Sands, Jillian C. Wallis, Rebekah Cummings, Peter T. Darch. The International Journal of Digital Curation 2016, 11 (1): 128–149. DOI: 10.2218/ijdc.v11i1.428 (link to text and citation)
May 2016 “Not fade away: Social science research data in the digital era” Christine L. Borgman. Social Sciences Research Council Meeting, New York Public Library. (link to text and citation: Publisher’s version ; Author’s version)
May 2016 “Open data in scientific settings: From policy to practice” Irene V. Pasquetto, Ashley E. Sands, Peter T. Darch, Christine L. Borgman. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI ’16). Association for Computing Machinery, New York, NY, USA, 1585–1596. DOI: 10.1145/2858036.2858543 (link to text and citation: Publisher’s version ; Author’s version)
2015 “Big Data, Little Data, No Data Scholarship in the Networked World” Christine L. Borgman. MIT Press, Cambridge MA. (link to text and citation: Publisher’s version)