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WHOI Data Science office hour, Slack, and monthly Data Science Cafe at AVAST

Got questions about data or coding? Want to discuss a topic related to data science? The whoi-datascience Slack is always open to WHOI staff and students, and we open an office-hour channel every Tuesday from 11am to noon. Join us for a Data Science Cafe at the AVAST Social Hub monthly on the 3rd Tuesday, 11am to noon. You can find a Slack invitation and the Zoom link for the Cafe on the IS App Dev webpage (internal/VPN). Sponsored by WHOI's Ocean Informatics Working Group, IS App Dev, and Data Library & Archives. Please contact or for more information.


NSF Dear Colleague Letters:

Ocean Technical Workforce Education

  • March 14, 2022: Development of new instrumentation, maintenance of equipment related to ocean observing systems, and data management efforts to ensure the quality and accuracy of the data and the analysis of large data sets generated by these systems all require a workforce with specialized training in ocean sciences, engineering, manufacturing, and data science. This Dear Colleague Letter (DCL) encourages proposals within two categories: 1) Curriculum Development proposals and 2) Student Engagement proposals. The goal of the DCL is to expand technical capacity in the U.S. workforce in high-technology fields through training programs that educate the next generation of ocean technicians, data scientists, ocean engineers, and ocean scientists. [Link to DCL]

Encouraging Research on Open Knowledge Networks

  • November 18, 2021: Knowledge graphs constitute a powerful approach for organizing, representing, integrating, and accessing data and information from multiple structured and unstructured sources. Large-scale knowledge graphs are now employed at enterprise scales by the private sector. The success of such proprietary knowledge networks offers the potential for open knowledge networks (OKNs) that can support broad public use cases and can be shared in a manner that is secure and preserves privacy. With this Dear Colleague Letter (DCL), NSF invites principal investigators (PIs) to submit proposals that contribute to OKN research and practice. Proposals can be submitted to core programs as Small projects within the Directorate for Computer and Information Science and Engineering (CISE). [Link to DCL]

Supporting Data and Sample Reuse in Polar Research

  • January, 27 2021: The National Science Foundation's (NSF) Office of Polar Programs (OPP) encourages submission of proposals that leverage existing data, physical samples, and non-physical samples (e.g., films, recordings, etc.), as well as those that facilitate the reuse of existing data. [Link to DCL]


Open meeting to discuss a Big Data Collaboratory at WHOI

WHOI's "Vision 2030: Ocean Science for the Global Good" includes an Innovation Accelerator to invest in our staff and facilities, with Places (both physical and virtual) to focus on innovation infrastructure. New investment is sought to establish a "collaboratory" for big data, machine learning, and artificial intelligence.

WHOI's Ocean Informatics Working Group hosted a virtual meeting for WHOI staff and students in May 2021 to initiate discussion of this collaboratory.

Link to meeting summary (access with WHOI Google Drive account), which has links to agenda/slides/jamboard.


WHOI's Cloud Computing Survey

In December 2019 WHOI DDVPR’s Ocean Informatics Working Group (OIWG), in collaboration with WHOI Information Services (IS), conducted a survey to learn how WHOI scientific and technical staff, postdocs, and students are interested in using cloud computing services for research and engineering. Please contact Stace Beaulieu, OIWG coordinator, or Roberta Mazzoli, XSEDE Campus Champion @ IS, if you are interested in the results or have questions/comments. WHOI IS in collaboration with the OIWG will continue to examine the pros and cons of cloud computing services as part of WHOI’s Campus Cyberinfrastructure Plan and Cloud Strategy, both in development.

WHOI's Data Science Training Camp
Figure from "Enabling long-term oceanographic research: Changing data practices, information management strategies and informatics" (Baker and Chandler, 2008,