R2R is the NSF-supported repository for environmental sensor data routinely acquired by U.S. oceanographic research vessels. The research fleet supports hundreds of expeditions around the world each year, ranging from oceans to coasts and estuaries to the Great Lakes. R2R works with an extensive network of partner repositories to link original field data from both sensors and samples, post-field products, global syntheses, and journal articles.
This year's meeting will be at the CNM Workforce Development Training Center in Albuquerque on April 27th. Keep your eyes on this spot in the coming months for more info!
Diversity Innovation Working Groups (D-IWG) provide a venue for researchers, educators, and nationally recognized experts to address challenges associated with engaging and retaining women, members of under-represented groups, and first-generation college students in Science, Technology, Engineering, and Mathematics (STEM) in New Mexico. Successful D-IWGs will result in innovative proposals to NSF or other agencies, publication of synthesis papers in peer-reviewed journals, or other defined outputs that are likely to contribute to broadening participation in STEM.
The NM EPSCoR Mentoring Award is designed to recognize two NM EPSCoR participants who not only build relationships with students and support their academic, research, and career endeavors, but also work to create inclusive environments for our diverse students. NM EPSCoR is seeking nominations for one NM EPSCoR faculty or staff member and one NM EPSCoR graduate student who have the following characteristics:
Project Jupyter, evolved from the IPython environment, provides a platform for interactive computing that is widely used today in research, education, journalism and industry. The core premise of the Jupyter architecture is to design tools around the experience of interactive computing, building an environment, protocol, file format and libraries optimized for the computational process when there is a human in the loop, in a live iteration with ideas and data assisted by the computer.
Well-documented data quality is critical in situations where scientists and decision-makers need to combine multiple datasets from different disciplines and instrumentation to address scientific questions or difficult decisions. Standardized data quality metadata could be very helpful in these situations. Many efforts at developing data quality standards falter because of the diversity of approaches to measuring and reporting data quality. The “one size fits all” paradigm does not generally work well in this situation.
It is common in discussing technical infrastructure to talk about the IT “stack”. This discussion walks through a model for the Digital Preservation Management stack with requisite layers of organizational infrastructure for sustainable digital preservation programs. The DPM stack applies concepts from the DPM model, an organizational maturity model that defines five stages to build a sustainable program. This is represented by a three-legged stool with an organizational, a technological, and a resources leg.
Join the Earth Data Analysis Center (EDAC) for GIS Day 2016. Learn about GIS, talk to spatial tech industry experts, win door prizes and more.
Join EPSCoR Program Officers November 29 or November 30 at 2:00 p.m.for an informational webinar on EPSCoR's new RII Track-4 program. WebEx login instructions can be found here.