Speakers: Chen Chiu, Senior Data Management Consultant, Johns Hopkins University Data Services;
Megan Forbes, Program Manager, Open Source Programs Office, Johns Hopkins University Sheridan Libraries; Gerard Lemson, Director of Science of The Institute for Data Intensive Engineering and Science and Associate Director of the Scientific Software Engineering Center
Representatives from three JHU offices to present open scholarship supports they each provide to JHU researchers.
An Overview of Data Services and the Institutional Repository (Chen Chiu)
Data Services helps JHU researchers navigate data. We help faculty, researchers, and students find, use, manage, visualize, and share data. In addition, we operate an institutional repository, Johns Hopkins Research Data Repository, that JHU researchers can deposit and share their research data in it. Here, we provide an overview of services that we provide and a brief introduction to how to share data in our institutional repository.
Introducing the Johns Hopkins Open Source Programs Office (Megan Forbes)
In this talk, we’ll delve into the world of Johns Hopkins University’s Open Source Programs Office (OSPO), a hub for faculty, researchers, students, and staff creating, contributing to, and participating in open source communities. We’ll explore the “why” behind open source – how it fosters transparency, reproducibility, and innovation across disciplines. Then, we’ll discuss the OSPO’s mission and share about the practical services and support we offer, from licensing guidance to help building sustainable communities. Finally, we’ll zoom out to see how the OSPO connects with the library’s broader open science and open access initiatives.
Introduction to the Institute for Data Intensive Engineering and Science, SciServer, and the Scientific Software Engineering Center (Gerard Lemson)
An introduction to the Institute for Data Intensive Engineering and Science (IDIES), its role in accelerating research software development through the Scientific Software Engineering Center (SSEC), and SciServer, an open collaborative environment for interactive analysis of extremely large datasets.
This is a part of the Love Data Week 2024 events. Check the full event schedule and register here https://dataservices.library.jhu.edu/love-data-week/schedule/.
