Exploring openness in data and science: What is "open, " to whom, when, and why? - Irene V. Pasquetto; Ashley E. Sands; Christine L. Borgman (ASIST, 2015)

Knowledge infrastructures in science: data, diversity, and digital libraries. - Christine L. Borgman; Peter T. Darch; Ashley E. Sands; Irene V. Pasquetto; Milena S. Golshan; Jillian C. Wallis; Sharon Traweek (Int. J. Digit. Libr., 2015)

Open Data in Scientific Settings: From Policy to Practice. - Irene V. Pasquetto; Ashley E. Sands; Peter T. Darch; Christine L. Borgman (CHI, 2016)

The conundrum of police officer-involved homicides: Counter-data in Los Angeles County. - Morgan E. Currie; Britt S. Paris; Irene V. Pasquetto; Jennifer Pierre (Big Data Soc., 2016)

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 (JCDL, 2017)

On the Reuse of Scientific Data. - Irene V. Pasquetto; Bernadette M. Randles; Christine L. Borgman (Data Sci. J., 2017)

Cracking Open the Black Box of Genetic Ancestry Testing. - Joan M. Donovan; Irene V. Pasquetto; Jennifer Pierre (HICSS, 2018)

'What Data?' Records and Data Policy Coordination During Presidential Transitions. - Kristin B. Cornelius; Irene V. Pasquetto (iConference, 2018)

Thorny problems in data (-intensive) science. - Michael Scroggins; Irene V. Pasquetto; R. Stuart Geiger; Bernadette M. Boscoe; Peter T. Darch; Charlotte Cabasse-Mazel; Cheryl A. Thompson; Milena S. Golshan; Christine L. Borgman (Commun. ACM, 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 (Comput. Sci. Eng., 2020)

Ten simple rules for open human health research. - Aïda Bafeta; Jason Bobe; Jon Clucas; Pattie Pramila Gonsalves; Célya Gruson-Daniel; Kathy L. Hudson; Arno Klein; Anirudh Krishnakumar; Anna McCollister-Slipp; Ariel B. Lindner; Dusan Misevic; John A. Naslund; et al. (PLoS Comput. Biol., 2020)

Getting Ourselves Together: Data-centered participatory design research & epistemic burden. - Jennifer Pierre; Roderic N. Crooks; Morgan E. Currie; Britt S. Paris; Irene V. Pasquetto (CHI, 2021)

Social Debunking of Misinformation on WhatsApp: The Case for Strong and In-group Ties. - Irene V. Pasquetto; Eaman Jahani; Shubham Atreja; Matthew Baum (Proc. ACM Hum. Comput. Interact., 2022)

Disinformation as Infrastructure: Making and Maintaining the QAnon Conspiracy on Italian Digital Media. - Irene V. Pasquetto; Alberto F. Olivieri; Luca Tacchetti; Gianni Riotta; Alessandra Spada (Proc. ACM Hum. Comput. Interact., 2022)

An Empirical Analysis of Racial Categories in the Algorithmic Fairness Literature. - Amina A. Abdu; Irene V. Pasquetto; Abigail Z. Jacobs (FAccT, 2023)

An archival perspective on pretraining data. - Meera A. Desai; Irene V. Pasquetto; Abigail Z. Jacobs; Dallas Card (Patterns, 2024)

What is research data "misuse"? And how can it be prevented or mitigated? - Irene V. Pasquetto; Zoë Cullen; Andrea K. Thomer; Morgan F. Wofford (J. Assoc. Inf. Sci. Technol., 2024)

Essential work, invisible workers: The role of digital curation in COVID-19 Open Science. - Irene V. Pasquetto; Amina A. Abdu; Natascha Chtena (J. Assoc. Inf. Sci. Technol., 2025)