Cloud-hosting Water Science Data for Collaborative Research
2018 Spring Cyberseminar Series
- Mark Henderson / CUAHSI
Water scientists typically interact with many different types of data throughout the life of a project. Moreover, it’s difficult to find a single archival platform or data repository that’s efficient for research teams to manage disparate datasets. While a variety of solutions exist, few offer the domain specificity necessary to accurately encapsulate water science data. This seminar will discuss data management challenges and introduce CUAHSI-supported technologies for supporting collaborative data access, team building, expressive metadata, and data publication. Discussion will be centered around pre-defined use cases with an emphasis on managing data for interdisciplinary research teams consisting of faculty and graduate students, for both research and educational applications. Attendees can expect a detailed discussion and demonstration of the HydroShare platform for data archival and team management.
CUAHSI's 2018 Spring Cyberseminar Series: CUAHSI Water Data Services for Supporting Scientific Research and Education
Scientists are faced with many challenges throughout the research lifecycle ranging from data collection and management to collaboration and reproducible science. These challenges are exacerbated for large studies by increased scope and complexity that results from the interdisciplinary nature of water science. The next generation of water scientists must be comfortable using a variety of software, tools, and platforms on a daily basis to efficiently and effectively conduct their research. The Consortium of Universities for the Advancement of Hydrologic Sciences, Inc. (CUAHSI) aims to assist scientists in these efforts by investing in community-driven cyberinfrastructure research projects. This cyberseminar series presents efforts made by CUAHSI to alleviate the burden common of data-related tasks and is separated into three distinct seminars that collectively discuss the challenges associated with data management, collaboration, and reproducible science. Each seminar will focus on a specific scientific use cases and will demonstrate how free and open source software can be used to overcome data-related research challenges. Participants will learn about new technologies that can assist both academic and educational water science settings.