Save the Date!
Thursday, November 7, 2019
The 2nd Carnegie Mellon University
Open Science Symposium at
Mellon Institute Library
Join us for a day focused on the opportunities and challenges of practicing open science. The full day program will feature talks from guest speakers including researchers, tool developers, funders, and publishers, roundtable discussions, a poster session on research using open methods, and a collaboration networking reception.
Watch our Open Science Symposium 2019 website for program updates and registration coming this summer.
Get in touch at firstname.lastname@example.org.
Open Science Framework (OSF) is a free & open source project management web-based tool that is useful for:
CMU now has an institutional license for OSF. Use your Andrew email address to sign-up for OSF to take advantage of our institutional benefits including:
If you are interested in learning more about OSF or need help, you can read our OSF guide or contact CMU's OSF coordinators: Melanie Gainey (email@example.com) and Ana Van Gulick (firstname.lastname@example.org).
Through the Pittsburgh Supercomputing Center, CMU researchers have free access to Bridges, an NSF-funded supercomputer designed to enable a wide variety of research communities, including those that may not have a lot of experience with programming and do not typically use supercomputers.
Bridges can be used for analysis in a variety of fields including genomics, neuroscience, and machine learning and can be used with familiar, widely-used software such as R, MATLAB, and Python.
Supported by the University Libraries, protocols.io is an open source repository for scientists to record and share detailed up-to-date protocols for research and teaching purposes. Carnegie Mellon University members can access their free Premium account by verifying their CMU email address.
For more information on protocols.io, please visit our webpage: library.cmu.edu/protocols
For additional support contact our research data services team: email@example.com
Supported by the NSF scientific data reuse initiative, AIDR (Artificial Intelligence for Data Discovery and Reuse) 2019 brought together researchers to discuss applications of AI/ML to challenges related to the discovery, reuse and management of data across disciplinary domains
You can access the conference slides and posters on F1000 here.
Do you use antibodies in your research? If so, you might want to check out the free tool, BenchSci.
BenchSci is a free online platform designed to help scientists find antibodies from publications. Their proprietary machine-learning algorithm was trained by PhD-level scientists to identify and understand the usage of commercial antibodies in the research literature.