| Using the Jupyter notebook as a tool for open science: An empirical study BM Randles, IV Pasquetto, MS Golshan, CL Borgman 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 1-2, 2017 | 192 | 2017 |
| Digital data archives as knowledge infrastructures: Mediating data sharing and reuse CL Borgman, A Scharnhorst, MS Golshan Journal of the Association for Information Science and Technology 70 (8 …, 2019 | 88 | 2019 |
| Knowledge infrastructures in science: data, diversity, and digital libraries CL Borgman, PT Darch, AE Sands, IV Pasquetto, MS Golshan, JC Wallis, ... International Journal on Digital Libraries 16, 207-227, 2015 | 81 | 2015 |
| Data management in the long tail: Science, software and service CL Borgman, MS Goshen, AE Sands, JC Wallis, RL Cummings, PT Darch, ... The International Journal of Digital Curation 11 (1), 128-149, 2016 | 49 | 2016 |
| The durability and fragility of knowledge infrastructures: Lessons learned from astronomy CL Borgman, AE Sands, PT Darch, MS Golshan Proceedings of the Association for Information Science and Technology 53 (1 …, 2016 | 49 | 2016 |
| Jupyter notebooks as discovery mechanisms for open science: Citation practices in the astronomy community MF Wofford, BM Boscoe, CL Borgman, IV Pasquetto, MS Golshan Computing in Science & Engineering 22 (1), 5-15, 2019 | 24 | 2019 |
| Library cultures of data curation: Adventures in astronomy PT Darch, AE Sands, CL Borgman, MS Golshan Journal of the Association for Information Science and Technology 71 (12 …, 2020 | 23 | 2020 |
| Collaborative qualitative research at scale: Reflections on 20 years of acquiring global data and making data global CL Borgman, MF Wofford, MS Golshan, PT Darch Journal of the Association for Information Science and Technology 72 (6 …, 2021 | 13 | 2021 |
| Do the stars align?: Stakeholders and strategies in libraries' curation of an astronomy dataset PT Darch, AE Sands, CL Borgman, MS Golshan Journal of the Association for Information Science and Technology 72 (2 …, 2021 | 13 | 2021 |
| Thorny problems in data (-intensive) science MJ Scroggins, IV Pasquetto, RS Geiger, BM Boscoe, PT Darch, ... Communications of the ACM 63 (8), 30-32, 2020 | 7 | 2020 |
| Collaborative ethnography at scale: Reflections on 20 years of data integration CL Borgman, MF Wofford, MS Golshan, PT Darch, MJ Scroggins | 4 | 2020 |
| From sky to archive: Long term management of sky survey data PT Darch, AE Sands, C Borgman, MS Golshan, S Traweek American Astronomical Society Meeting Abstracts# 229 229, 128.01, 2017 | 4 | 2017 |
| Institutional Dimensions of Data Curation: Astronomy, Research Libraries, and MultipleApproaches to Curation C Thompson, PT Darch, AE Sands, CL Borgman, S Traweek, MS Golshan | | 2018 |
| Users and uses of a digital data archive: A case study of DANS CL Borgman, AE Sands, MS Golshan | | 2017 |
| Motivations for Sharing and Reusing Data: Complexities and Contradictions in the Use of a Digital Data Archive CL Borgman, A Scharnhorst, H Berg, AE Sands, MS Golshan, A Treloar | | 2016 |
| IJDC| Peer-Reviewed Paper CL Borgman, MS Golshan, AE Sands, JC Wallis, RL Cummings, PT Darch, ... International Journal of Digital Curation 11 (1), 128-149, 2016 | | 2016 |
| Thorny Problems in Data (-Intensive) Science Data scientists face challenges spanning academic and non-academic institutions. CL Borgman, MJ Scroggins, IV Pasquetto, RS Geiger, BM Boscoe, ... | | |
