Woods Hole Oceanographic Institution (WHOI) and Oregon State University (OSU) jointly announced that OSU will assume responsibilities for the systems management of the cyberinfrastructure that makes data transmission for the Ocean Observatories Initiative (OOI) possible through September of 2023. OSU was awarded this role after a systematic and thorough selection process. Rutgers, the State University of New Jersey, has provided OOI’s Cyberinfrastructure systems management since 2014, and will leave the OOI Program in 2021 following a transition period with OSU. The OOI consists of five instrumented observatories in the Atlantic and Pacific Oceans outfitted with more than 800 instruments that continually collect and deliver data to shore via a cyberinfrastructure, which makes the data available to anyone with an Internet connection. The demands on the cyberinfrastructure are great, as it stores 73 billion rows of data, and has provided 36 terabytes of data in response to 189 million user requests since 2014. With the data requests and delivery demands increasing each year, the OOI has the capability to provide data that allows inquiries into episodic ecosystem events in real-time, as well as investigations using long-term time series data. The OOI is made possible through a funded five-year cooperative agreement to WHOI from the National Science Foundation. The OSU award is for $6 million over a three-year period.
“We are delighted that OSU has the capabilities and expertise to take on this hugely important task,” says John Trowbridge, Principal Investigator of the Program Management Office of the OOI at WHOI. “The OOI has become a dependable source of real-time ocean data, helping scientists answer pressing questions about the changing ocean. Educators use real-time ocean data to teach students about the fundamentals of oceanography, the global carbon cycle, climate variability, and other important topics. The team at OSU will help advance this work and ensure that OOI data are served reliably to an ever-growing audience.
“We are also extremely grateful to the Rutgers team for the excellent foundation they established over the past six years that will allow a seamless transition to the OSU cyberinfrastructure team. Rutgers was an important partner that helped establish OOI as a reliable data provider,” adds Trowbridge.
“OSU brings the perfect mix of hardware, software, and ocean data experts to ensure that we are able to store and serve up this gargantuan amount of important ocean data,” adds Anthony Koppers, Principal Investigator for the OSU Cyberinfrastructure Systems Team. “We have the key personnel and systems in place that will allow us to seamlessly take on the challenge of storing and serving OOI data, strategically planning for future data demands and implementing cybersecurity. We also will be working hand-in-hand with the OOI’s Data Management Team to ensure the data meets the highest quality standards.”
OSU’s cyberinfrastructure will handle telemetered, recovered, and streaming data. Telemetered data are delivered to the cyberinfrastructure from moorings and gliders using remote access such as satellites. Recovered data are complete datasets that are retrieved and uploaded to the cyberinfrastructure once an ocean observing platform is recovered from the field. Streaming data are delivered in real time directly from instruments in the field.
OOI data team members have developed a new toolbox for downloading data from the Machine-to-Machine (M2M) interface using MATLAB, making data access as easy as 1, 2, 3. The work expands on the existing tools available on OOI. This new toolbox covers data from moorings, gliders, and profilers in the OOI Coastal Arrays and can easily be extended to other research platforms. A video tutorial on how to use this new tool is provided above. (A pdf of the tutorial is provided below).
In three short steps – define the mooring, node, and instrument – users can easily and quickly access relevant OOI data. “This new approach eliminates some steps and makes it easy for anyone to find and access data they are looking for, “said Jonathan Fram, OOI Endurance Array Project Manager at Oregon State University (OSU). “We found this new approach really streamlined data access using the M2M interface and we are certain other OOI data users will find it similarly helpful.”
Developed by OOI OSU team members, Craig Risien and Russ Desiderio, these new tools are part of our ongoing effort to simplify access to OOI data to encourage its broader integration into scientific research and classroom content. A tutorial showing how to use MATLAB to access OOI data can be viewed here.
Other members of the OOI OSU team, Chris Wingard and Ian Black, are testing Python and R tools to explore OOI data, as well. Once the tools have been tested and vetted, they will be available along with other community-generated tools here.
This new tutorial adds to others that have been developed to help users integrate OOI data into their science.Read More