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Thursday, November 9 • 12:45pm - 2:00pm
Reproducibility and Curation of Scientific Code

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Access is critical in advancing research discoveries and speeding up the pace of science. In today’s digital age, software is a crucial component of the scientific life cycle. Researchers develop algorithms, software simulations, and analyses in different programming languages and different versions of those languages.

The software and code related to published research can be found in large quantity in commercial and noncommercial repositories; however, there is a challenge around access. The variety and complexity of software environments makes it extremely difficult for researchers and engineers to install the proper computing platform to reproduce a paper’s results.

The speakers will facilitate a group discussion about why curating and verifying software execution is important for researchers and institutions. They will then demonstrate a new executable code repository, Code Ocean, that allows researchers not only to deposit their code but all other dependencies in order for their scientific software to run. Using container technologies, code execution is agnostic to programming languages, versions or operating systems.

The session will conclude with a presentation of an integration project between Code Ocean and Dataverse (an open source platform to build data repositories for sharing and publishing research data from the Institute for Quantitative Social Science at Harvard University). The project looks to remove barriers to accessing software and code by eliminating the need to set up environments. In addition it will allow for reproducibility, verification, and collaboration of scientific code.
Speakers
avatar for Ceilyn Boyd

Ceilyn Boyd

Research Data Program Manager, Harvard University
Ceilyn Boyd is the Manager of the Harvard Library Research Data Management Program. This new program connects members of the Harvard community to services and resources spanning the research data lifecycle and helps to ensure that Harvard’s multi-disciplinary research data is findable... Read More →
avatar for Mercè Crosas

Mercè Crosas

Chief Data Science and Technology Officer, IQSS, Harvard University
Mercè Crosas is the Chief Data Science and Technology Officer at the Institute for Quantitative Social Science (IQSS) at Harvard University. She has more than 10 years of experience leading the Dataverse project and more than 15 years of experience building data management and analysis... Read More →
avatar for Pierre Montagano

Pierre Montagano

Director of Business Development, Code Ocean
Pierre leads sales and business development for Code Ocean, a cloud-based computational reproducibility platform that provides researchers and developers easier ways to share, discover and run code published in academic journals and conferences. Prior to Code Ocean, Pierre was the... Read More →

Final Charleston Conference Reproducibility and Curation of Scientific Code pdf
Thursday November 9, 2017 12:45pm - 2:00pm EST
Ashley Room, Courtyard Marriott Hotel 125 Calhoun Street, Charleston, SC 29401
  Lively Lunchtime Discussions, TE: Technology

Attendees (24)