Scholarship
Publications, reports, funded curricula, and other citable outputs from my work in research data services, open science, and library education.
- Curriculum
Lessons for Librarians in Open Science (IMLS Curriculum)
A 14+ lesson open science curriculum for library professionals, funded by IMLS and designed for integration into the Carpentries ecosystem.
- Report
UC Open Source Program Office Network (Sloan Foundation Grant)
$1.85M Sloan Foundation award to build a six-campus UC OSPO network focused on open source sustainability, governance, and education.
- Output
Library Carpentry Curriculum Advisory Group
Leadership contributions to Library Carpentry governance, lesson adoption processes, and curriculum quality.
- Book chapter
From a Data Archive to Data Science: Supporting Current Research
Book chapter on how academic library data services have evolved from archival functions to active research support, co-authored with colleagues across UC and beyond.
- Output
I See, UC, We All See Carpentries: Collaboratively Scaling Workshop Instruction Across a University System
Account of building the UC Carpentries network — coordinating instructor training, workshop delivery, and shared infrastructure across 10 UC campuses.
- Curriculum
Library Carpentry: Tidy Data for Librarians
Open curriculum on tidy data principles for library professionals, published to Zenodo as a citable, reusable teaching resource.
DOI: 10.5281/zenodo.3954067Cite this
Lake, S. et al. (2020). Library Carpentry: Tidy Data for Librarians. Zenodo. https://doi.org/10.5281/zenodo.3954067
@misc{lake2020, title = {Library Carpentry: Tidy Data for Librarians}, author = {Lake, Sherry and Dennis, Tim and Cope, Jez and Michonneau, Francois and Erdmann, Christopher and Oliver, Jeffrey and Baker, James and Wallace, Niamh and Sklar, Annelise and Atwood, Thea and Volkov, Alex and Weaver, Belinda and Becker, Erin Alison and Frisina, Jacqueline and Lacey, Ken and Reed, Phil and Peterson, Scott Carl and Kiburu, Serah Anne Njambi}, year = {2020}, howpublished = {Zenodo}, doi = {10.5281/zenodo.3954067}, url = {https://doi.org/10.5281/zenodo.3954067}, } - Output
Top 10 FAIR Data and Software Things
Collaboratively produced reference resource summarizing the top 10 practices for making research data and software Findable, Accessible, Interoperable, and Reusable (FAIR).
DOI: 10.5281/zenodo.2555498Cite this
Erdmann, C. et al. (2019). Top 10 FAIR Data and Software Things. Zenodo. https://doi.org/10.5281/zenodo.2555498
@misc{erdmann2019, title = {Top 10 FAIR Data and Software Things}, author = {Erdmann, Christopher and Simons, Natasha and Otsuji, Reid and Labou, Stephanie and Johnson, Ryan and Castelao, Guilherme and Villas Boas, Bia and Lamprecht, Anna-Lena and Martinez Ortiz, Carlos and Garcia, Leyla and Kuzak, Mateusz and Martinez, Paula Andrea and Stokes, Liz and Honeyman, Tom and Wise, Sharyn and Quan, Josh and Peterson, Scott and Neeser, Amy and Karvovskaya, Lena and Lange, Otto and Witkowska, Iza and Flores, Jacques and Bradley, Fiona and Hettne, Kristina and Verhaar, Peter and Companjen, Ben and Sesink, Laurents and Schoots, Fieke and Schultes, Erik and Kaliyaperumal, Rajaram and Tóth-Czifra, Erzsébet and Azevedo, Ricardo De Miranda and Muurling, Sanne and Brown, John and Chan, Janice and Quigley, Niamh and Federer, Lisa and Joubert, Douglas and Dillman, Allissa and Wilkins, Kenneth and Chandramouliswaran, Ishwar and Navale, Vivek and Wright, Susan and Di Giorgio, Silvia and Fasemore, Mandela and Förstner, Konrad and Sauerwein, Till and Seidlmayer, Eva and Zeitlin, Ilja and Bacon, Susannah and Hannan, Katie and Ferrers, Richard and Russell, Keith and Whitmore, Deidre and Dennis, Tim}, year = {2019}, howpublished = {Zenodo}, doi = {10.5281/zenodo.2555498}, url = {https://doi.org/10.5281/zenodo.2555498}, } - Book chapter
Using R and ggvis to Create Interactive Graphics for Exploratory Data Analysis
Book chapter on using R and the ggvis package to build interactive, browser-based visualizations for exploratory data analysis in library and research contexts.