The METAFOR project: preserving data through metadata standards for climate models and simulations. - Sarah Callaghan; A. Treshansky; M. Moine; Eric Guilyardi; A. Alias; Venkatramani Balaji; Roxana Bojariu; Antonio S. Cofiño; Sebastien Denvil; M. Elkington; R. Ford; M. Kolaninski; et al. (INTL-DPIF, 2010)

A Linked Data Approach to Publishing Complex Scientific Workflows. - Arif Shaon; Sarah Callaghan; Bryan Lawrence; Brian Matthews; Andrew Woolf; Timothy Osborn; Colin Harpham (eScience, 2011)

Citation and Peer Review of Data: Moving Towards Formal Data Publication. - Bryan Lawrence; Catherine Mary Jones; Brian Matthews; Sam Pepler; Sarah Callaghan (Int. J. Digit. Curation, 2011)

Making Data a First Class Scientific Output: Data Citation and Publication by NERC's Environmental Data Centres. - Sarah Callaghan; Steve Donegan; Sam Pepler; Mark Thorley; Nathan Cunningham; Peter Kirsch 002; Linda Ault; Patrick Bell; Rod Bowie; Adam M. Leadbetter; Roy K. Lowry; Gwenaëlle Moncoiffé; et al. (Int. J. Digit. Curation, 2012)

Opening Up Climate Research: A Linked Data Approach to Publishing Data Provenance. - Arif Shaon; Sarah Callaghan; Bryan Lawrence; Brian Matthews; Timothy Osborn; Colin Harpham; Andrew Woolf (Int. J. Digit. Curation, 2012)

Datasets: From Creation to Publication. - Sarah Callaghan (TPDL Workshops, 2013)

Perspectives on the role of trusworthy repository standards in data journal publication. - Angus Whyte; Sarah Callaghan; Jonathan Tedds; Matthew S. Mayernik (IASSIST Conference, 2013)

Processes and Procedures for Data Publication: A Case Study in the Geosciences. - Sarah Callaghan; Fiona Murphy; Jonathan Tedds; Rob Allan; John A. Kunze; Rebecca Lawrence; Matthew S. Mayernik; Angus Whyte (Int. J. Digit. Curation, 2013)

Linking Data and Publications: Towards a Cross-Disciplinary Approach. - Maarten Hoogerwerf; Mathias Lösch; Jochen Schirrwagen; Sarah Callaghan; Paolo Manghi; Katerina Iatropoulou; Dimitra Keramida; Najla Rettberg (Int. J. Digit. Curation, 2013)

Guidelines on Recommending Data Repositories as Partners in Publishing Research Data. - Sarah Callaghan; Jonathan Tedds; John A. Kunze; Varsha K. Khodiyar; Rebecca Lawrence; Matthew S. Mayernik; Fiona Murphy; Timothy Roberts; Angus Whyte (Int. J. Digit. Curation, 2014)

Cross-Linking Between Journal Publications and Data Repositories: A Selection of Examples. - Sarah Callaghan; Jonathan Tedds; Rebecca Lawrence; Fiona Murphy; Timothy Roberts; Will Wilcox (Int. J. Digit. Curation, 2014)

Preserving the integrity of the scientific record: data citation and linking. - Sarah Callaghan (Learn. Publ., 2014)

Data without Peer: Examples of Data Peer Review in the Earth Sciences. - Sarah Callaghan (D Lib Mag., 2015)

Twenty Years of Data Management in the British Atmospheric Data Centre. - Sam Pepler; Sarah Callaghan (Int. J. Digit. Curation, 2015)

On research data publishing. - Leonardo Candela; Donatella Castelli; Paolo Manghi; Sarah Callaghan (Int. J. Digit. Libr., 2017)

Research Data Publication: Moving Beyond the Metaphor. - Sarah Callaghan (Data Sci. J., 2019)

COVID-19 Is a Data Science Issue. - Sarah Callaghan (Patterns, 2020)

What's in a Name? How We Named Patterns. - Sarah Callaghan (Patterns, 2020)

On the Importance of Data Transparency. - Sarah Callaghan (Patterns, 2020)

Data Sharing in a Time of Pandemic. - Sarah Callaghan (Patterns, 2020)

Wheels of All Colors, Shapes, and Sizes Working Together: A Vision of Common Purpose in Data Science. - Sarah Callaghan (Patterns, 2020)

Artisanal and Industrial: The Different Methods of Data Creation. - Sarah Callaghan (Patterns, 2020)

Preview of: A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and Perspectives. - Sarah Callaghan (Patterns, 2020)

The First Piece of the Pattern. - Sarah Callaghan; Tessa Darbyshire (Patterns, 2020)

Ada Lovelace Day and Celebrating Women in STEM. - Sarah Callaghan; Tessa Darbyshire; Sahar Farajnia (Patterns, 2020)

"Digits: for Good"; How Patterns Can Help. - Sahar Farajnia; Sarah Callaghan (Patterns, 2020)

Data, Inspiration, and the New Year. - Sarah Callaghan (Patterns, 2021)

Toward machine learning-enhanced high-throughput experimentation for chemistry. - Sarah Callaghan (Patterns, 2021)

Inclusion, complexity, and not being able to do it all alone. - Sarah Callaghan (Patterns, 2021)

Preview of machine learning the quantum-chemical properties of metal-organic frameworks for accelerated materials discovery. - Sarah Callaghan (Patterns, 2021)

Growing the pattern: Our first year. - Sarah Callaghan; Tessa Darbyshire; Sahar Farajnia (Patterns, 2021)

Peter Fox (1959-2021). - Sarah Callaghan; Xiaogang Ma 001; Denise Hills; J.-F. de La Beaujardiere; Helen M. Glaves (Patterns, 2021)

Two Journals and a Pandemic: Reflections on Being a Data Science Editor-in-Chief. - Sarah Callaghan (Data Sci. J., 2023)