Difference between revisions of "2014 first Steering Committee Meeting"

Revision as of 16:06, 4 November 2014

DATE and VENUE

The date for the first advisory committee meeting is Monday November 17, 2014. The meeting will be held in Denver CO.

The meeting will be held:

DoubleTree by Hilton Hotel Denver 3203 Quebec Street, Denver, Colorado, 80207, USA TEL: +1-303-321-3333 FAX: 1-303-329-5233 http://doubletree3.hilton.com/en/hotels/colorado/doubletree-by-hilton-hotel-denver-RLDV-DT/index.html

Tentative Agenda

Agenda: Sunday 16 Nov, 2014

• 12 noon lunch reservations at hotel restaurant for Rick, David, Chris, Paul and Hilary • 1-4 pm Briefing on INSPIRE Age of Water project and Organic Data Science Collaboration software (abbreviated but following 17 Nov aagenda).

Agenda: Monday 17 Nov, 2014

9:00 am Introductions

• Introduce the steering committee and their background (15 min) • Introduce the PI’s and the motivation for the research and describe what we intend to accomplish (15)

9:30-10:30 Research Overview in Lake-Catchment Data-Models-Collaboration

• Collaboration concept and overview of organic data science (30) (Yolanda) • Overview of catchment and age research (30 min) (Chris) • Overview of lake research (30) Paul, Jordan)

10:30-11:00 Coffee break

11:00-12:00 Demonstrating the strategy • Navigating/using the Organic Data Science website (online) (30) (Yolanda) • A “Task-Centered” example (30) (Hilary)

12:00-1:15 Lunch (~12 people)

1:15-2:45 Demonstrating the strategy cont’d

• Training users (30) • Writing a research paper (30) • Creating cross-disciplinary models and data (30)

2:45-3:00 Coffee break

3:00-4:00 Open discussion around questions:

• What the INSPIRE Team would like from the Collaborators? • What the Collaborators would like from the Team? • Strategy for expanded participation?

4:00-4:30 Feedback from Collaborators

To airport for most, self organized dinner for those staying on.

INVITATION

October 1, 2014

To: CyberInfrastructure Collaborators: NSF INSPIRE (1344272)

The Age of Water and Carbon in Hydroecological Systems: A New Paradigm for Science Innovation and Collaboration through Organic Team Science.

Re: Update on activities and request for ½ day meeting in November in Denver

From: Christopher Duffy (PI), Yolanda Gil (Co-PI) and Paul Hanson (Co-PI)

Dear Collaborators,

We have been busily building up the core ideas for this effort over the first 10 months, and are now ready to engage you all as you expressed interest to collaborate on this project. As you may recall, we are investigating Organic Data Science, a new approach aimed to allow scientists to formulate and resolve science processes through an open, task-centered framework that facilitates ad-hoc participation and entices collaborations based on common science goals. We are integrating analytical frameworks from two communities – hydrology and stable water isotope modeling in Critical Zone Observatories (CZOs) and hydrodynamic water quality modeling from the Global Lake Ecological Observatory Network (GLEON) – to quantify water and material fluxes from two research sites, the Shales Hills CZO and the GLEON member site, North Temperate Lakes LTER.

We wanted to kickstart our collaboration activities with all of you with a one-day meeting in Denver this November. Our goal is to review the work we have done to date and plan possible collaboration activities with you for the coming year. We propose three possible dates for this meeting: 10, 17 or 24 November. The expenses for your travel will be covered by the grant. Details for convenient access to the meeting to follow.

Organic Data Science is an open task-centered hierarchical collaboration framework for developing and documenting research activities in the project. The Open Data Science framework is implemented on a semantic wiki, where each task that we are currently engaged in, the participants on that task, the progress to date, and other key information. The website is at www.organicdatascience.org, where you can see the tasks we have laid out and the first year’s activities and progress. The framework itself has been developed in collaboration with our computer science group at USC/ISI. The website outlines not only research activities on the science side, but also the activities concerning the development of the framework proper as well as outreach. Our first outreach activity is being planned to take advantage of the next GLEON annual meeting, where we will hold a workshop on Lake-Catchment Modeling in Jovance, Quebec 26 October, 2014. We will have ~30 invited participants at the workshop.

Please let us know which dates in November in Denver would work for your schedule and if you might like to participate in the GLEON Workshop contact us.

Sincerely,

Christopher J. Duffy, Yolanda Gil and Paul Hanson

List of Collaborators

Supporting Regional Community DATA Infrastructure: Gordon Grant, geomorphologist and chair of the NSF Critical Zone Steering Committee will work with the team to develop a strategy to share important ETV (Essential Terrestrial Variables) geospatial data resources and to consult on new ETV data resources for d18O and d2H in precipitation across the Willamette watershed and Cascade Mountains, an area rich in previous studies of isotopic chemistry and hydrology

National Data Infrastructure and Social Networking: David Tarboton, lead scientist on the CUAHSI HydroShare funded by NSF effort will work with the PI’s on the social computing aspects the project and in integrating modeling and data resources into the HydroShare community data system.

Serving a High Resolution Precipitation Isoscape for all Critical Zone Observatories: Anthony Aufdenkampe, lead scientist on NSF funded Integrated Data Management for Critical Zone Observatories and PI on the Christina River basin CZO, will collaborate with the Creativ Team for CZO Data and in building a new database for stable isotope data in precipitation (1979-Pres) for all CZO sites.

National Geospatial Data Infrastructure and the CUAHSI Water Data Center: Rick Hooper & Alva Couch, Executive Director and lead scientist for CUAHSI and the CUAHSI Water Data Center will collaborate by advising project personnel on standards and services interfaces used by CUAHSI Water Data Center to allow integration and sharing of geospatial services between WDC and Hydroterre.

National Data and Interoperability Standards: Brian Wee, scientist with NEON (the National Ecological Observing Network) will collaborate by advising project personnel on standards and interoperability of NEON data with CZO’s, GLEON and other observatories.

Data Publication, Discovery and Access Infrastructure: David Vieglais DataOne Director of Development and Operations, will support access to existing infrastructure to publish data with appropriate metadata annotations that support discovery and access. Dr. Gil participates in the DataOne Provenance Working Group, which is extending the W3C PROV standard to science workflows.

Towards a Shared Data Infrastructure across NSF Science Domains: Emily Stanley will support access to a vast array of data from lakes in northern Wisconsin, including limnological, hydrological, meteorological, and land use land cover. Stanley will help integrate the proposed work into the scientific agenda of NTL, providing additional collaboration opportunities and broader impact. Futhermore, hydrologists currently working within NTL LTER will provide invaluable insights into regional hydrology, greatly expediting the model calibration needed in the proposed work.

ETV infrastructure for high resolution precipitation isoscape (CONUS): Kei Yoshimura: climate scientist and lead scientists for global and regional scale simulation of stable isotopes in precipitation will contribute hourly, daily and weekly and gridded time series for North America which will serve to extend the measurement record at Shale Hills Trout lake to the climate reanalysis record 1979-present and provide an important new data resource for catchment isoscapes globally.

Sharing USGS Federal Data and Modeling Assets For Catchment-Lake Modeling: Jordan Read, USGS, physical limnologist and lake modeler who has extensive experience in developing and implementing numerical simulations for lakes. His recent implementation of GLM, lake numerical simulation software, models lake temperatures in hundreds of Wisconsin lakes.