A short series of lectures on E-Science at the BioScience Research Collaborative Building.
Browse the contents of Lecture Series on E-Science, 2012:
- Printable Schedule
- March 7, 2012
- Michele Reilly, Head of Digital Services, University of Houston. "Overview of Data Management Planning Tools." These Data Management Plans are more comprehensive and complex than in the past. Libraries around the nation are trying to put together tools to help researchers write plans that conform to the new requirements. This session will look at some of these tools.
- February 21, 2012
- Michelle Malizia, Associate Director, National Network of Libraries of Medicine, South Central Region. "Data Management Policies and Issues with Life Science Data." Data management and sharing are relatively new concepts in the health and life sciences fields. This presentation will cover some basic policies as well as the impediments to data sharing unique to health and life sciences data.
- February 2, 2012
- Elmer Bernstam, Professor, School of Biomedical Informatics, University of Texas Health Sciences Center at Houston. "An introduction to E-Science" An introduction to computationally-enabled science, challenges, and opportunities.
- April 4, 2012
- Sarah White, Director of the Office of Sponsored Research, Rice University. "Compliance: E-Science Mandates and Policies." Data collected under federally funded research is subject to compliance rules and regulations. Policies affecting what you can and cannot do with your data, who is responsible, and what role your institution plays can vary with funding agencies and the type of data collected. This talk will address many of the compliance issues associated with research data, as well as funder mandates that you need to be aware of to ensure compliance.
- April 25, 2012
- Geneva Henry, Executive Director of the Center for Digital Scholarship, Rice University. Data rights and ownership of digital research data can impact how you use data, how others use data you've collected, and how rights are determined in collaborative research. Copyright rules governing data vary from one country to the next, making data ownership in international collaborations particularly murky. Licensing the use of data sets from the start is one way to address these issues early and provide a means for easily sharing datasets that can be cited and properly attributed. This talk with introduce issues associated with digital research data governance and how to protect your rights with data you work with.