Open Science & Data Collaborations (OSDC) is a University Libraries program supporting collaborative, transparent, openly accessible, and reproducible research across all disciplines at Carnegie Mellon University. We recognize that having well documented and automated research workflows, code, and datasets is essential to making research more interdisciplinary, efficient, and reusable as well as allowing researchers to leverage data science techniques.
This program provides services and infrastructure for open research at CMU through digital tools, training opportunities for research tools and practices, collaboration opportunities on data science projects, special events and advocacy, and a team of experts available as research consultants and collaborators.
- Open Science Framework – manage research data and projects, share work with collaborators, and register research with this cloud-based platform
- Protocols.io – document and share step-by-step methods and protocols
- LabArchives – securely record and share research notes and data in an Electronic Research Notebook
- KiltHub Repository – make all of the products of your research openly available and citable with CMU’s institutional repository
- Carpentries Workshops – 2-day introductions to coding with R, Python, shell, and Git
- Libraries Workshops – short workshops on getting started with research tools from Zotero to Jupyter Notebooks and research practices from literature searching to data management
- OSDC MiniSeries: Reproducible Research – 2 to 3-hour workshops that focus on basic concepts, skills, and tools for conducting research in a reproducible manner. You can find recordings of some of these workshops on CMU Libraries YouTube Tutorials & Workshops playlist.
- Open Science Symposium - A semi-annual symposium that brings together researchers, funders, publishers, and tool developers to discuss the challenges and opportunities of open research.
- AIDR: Artificial Intelligence for Data Discovery and Reuse - A semi-annual symposium focused on harnessing the power of AI to accelerate the dissemination and reuse of scientific data and building a healthy data ecosystem.
- Data Collaborations Lab (dataCoLAB) - We match up researchers who want help with their datasets with consultants who have data science skills, and create opportunities for people with different technical and disciplinary backgrounds to work together, following best practices that enhance reproducibility.
- Collaborative Bioinformatics Hackathon - Academic and industry researchers from around the world come together to collaboratively work on crucial problems and opportunities in clinical bioinformatics.
- Consultations – Get in touch for help with any stage of the research process from grant writing and data management plans, to reproducible analysis workflows, to making any or all products of your research open.
- Collaborations – We’re researchers too and would be glad to be partners on your research projects to contribute to data management or open data components of the work.
- Outreach – We’ll come to you! Get in touch if you’d like us to pay a visit to your lab, program, department, or other CMU community group.
The Open Science Team
- Katie Behrman, KiltHub Repository Coordinator
- Neelam Bharti, Chemistry, Chemical Engineering, Materials Science; Open Access
- Emily Bongiovanni, Emily Bongiovanni, Psychology, Social and Decision Sciences
- Julie Chen, Civil & Environmental Engineering, Mechanical Engineering, Engineering & Public Policy
- Melanie Gainey (co-director), Biological Sciences, Biomedical Engineering, Neuroscience
- Hannah Gunderman (affiliated member), Data, Gaming, and Popular Culture
- Emma Slayton (affiliated member), Data Curation, Visualization, & GIS Consultant
- Huajin Wang (co-director), Biological Sciences and Computational Biology
- Sarah Young, Social Sciences, Public Policy and Information Systems; Evidence Synthesis
- John Chin, Research Coordinator, Institute for Politics & Strategy, CMU
- Jeffrey Flagg, Lab Manager, Dynamic Decision Making Laboratory, CMU
- Nynke Niezink, Assistant Professor, Department of Statistics and Data Science, CMU
- Albert Presto, Research Professor, Mechanical Engineering, CMU
- Thiago Rodrigues, Doctoral Student, Civil & Environmental Engineering, CMU
- Cathy Su, Doctoral Student, Computational Biology, CMU
- Sarah Werner, Doctoral Student, Biological Sciences, CMU
- Open Science at CMU Newsletter - March 2022
- Open Science at CMU Newsletter - January 2022
- Open Science at CMU Newsletter - December 2021
- Open Science at CMU Newsletter - November 2021
- Open Science at CMU Newsletter - October 2021
- Open Science at CMU Newsletter - September 2021
- Open Science at CMU Newsletter - July 2021
- Open Science at CMU Newsletter - June 2021
- Open Science at CMU Newsletter - May 2021
- Open Science at CMU Newsletter - February 2021
Subscribe to our newsletter to learn more about upcoming open science events and opportunities!
Senior Librarian/ Co-Director for Open Science & Data Collaborations
Manage Information & Data
Work with our specialists to evaluate, select, and implement the tools to organize your data and keep your project on track.