Open Science banner

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, special events and advocacy, and a team of experts available as research consultants and collaborators.

Tools, Trainings, Events, Experts

The Open Science Team

Ana Van Gulick, Program Director, Open Science; Psychology, Neuroscience

Melanie Gainey, Biological Sciences, Biomedical Engineering

Hannah Gunderman, Research Data Consultant; Data Management

Huajin Wang, Biological Sciences, Computer Science, Data Collaborations and Reproducibility

Tools

• Open Science Framework  – Data management for collaborative research projects

• Protocols.io  – the recipe book for your research

• KiltHub Repository  – make all of the products of your research openly available, citable, and reusable

Trainings

Carpentries Workshops – 2-day introductions to scientific computing with R and Python

• Libraries Workshops – local workshops on getting started with research tools from Mendeley to Jupyter and research practices from literature searching to data management

• Hackathons and workshops on reproducible science – check back for details to come!

Events

• Open Science Symposium 2019  – 2nd annual symposium bringing together researchers, funders, publishers, and tool developers to discuss the challenges and opportunities of open research. 2018 Symposium program and talks available here

• AIDR 2019: AI for Data Discovery and Reuse – NSF-funded conference aiming to find innovative solutions to accelerate the dissemination and reuse of scientific data in the data science revolution. Check back for AIDR 2020!

Love Data Week – an international celebration of data each February.

Experts

• 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.

• Custom 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.