IGN 7
DataNet Tools and Services

Wednesday, August 12, 2015: 8:00 AM-9:30 AM
345, Baltimore Convention Center
Organizer:
Amber Budden
Co-organizers:
Tracy A. Kugler and Dharma Akmon
Moderator:
Yiwei Wang
Science and engineering research and education are increasingly digital and increasingly data-intensive. Digital data are not only the output of research but provide input to new hypotheses, enabling new scientific insights and driving innovation. Critical for working with these data effectively is the supporting infrastructure of tools and services that support researchers in the discovery, management, analysis and preservation of ecological data. The projects funded under the NSF’s DataNet program will demonstrate some of the tools and infrastructure that facilitate data discovery, access, and sharing. Four NSF DataNet programs will be represented: Terra Populus, SEAD, the DataNet Federation Consortium and DataONE and we will expose researchers to a suite of tools that support them in their data management needs across all stages of the Data Life Cycle. The tools and services highlighted are open source and range from services that support data management and the discovery of ecological data to analytical and workflow tools. Each of the presentations will be led by individuals who are strongly associated with the tool development or have a professional role in training others. In 5 minutes we aim to provide sufficient information to ignite interest and exploration by participants and to spark a discussion that extends beyond the DataNet program and the tools presented to a broader conversation about working with digital data.
An overview of DataONE (Observation Network for Earth)
William Michener, University of New Mexico
Discovering ecological data through ONEMercury
Amber Budden, DataONE, University of New Mexico; Yiwei Wang, University of New Mexico
Ask not what your data can do for you? Really?
Jim Myers, University of Michigan
So you think it's just about data?
Mary C. Whitton, DataNet Federation Consortium
Workflows to accelerate preparing data for input to hydrologic models
W. Christopher Lenhardt, DataNet Federation Consortium
See more of: Ignite ESA Sessions