The Community for Data Integration (CDI) meetings are held the 2nd Wednesday of each month from 11:00 a.m. to 12:30 p.m. Eastern Time.
Meeting recordings are available to CDI Members approximately 24 hours after the completion of the meeting. Please login to view the recording. If you would like to become a member of CDI, please email firstname.lastname@example.org.
During the call, you can ask and up-vote questions at slido.com, event code #3991.
Presentation slides for the opening and announcements are available publicly. Other slides are accessible when logged in as a CDI member.
11:00a Intro to FAIR Data and what you can do about it [PDF]
11:15a Working Group Announcements [PDF]
11:25a Reproducible Notebook Series - Using Python to Bring Geophysical Data to the Surface - Kyle Enns and Cristiana Falvo
11:40a Semantic web for sustainability: revolutionizing how we write, find, link and reuse data and models - Ferdinando Villa
12:00p Panel to discuss semantic web and the USGS - Ken Bagstad, Dalia Varanka, Julia Moriarty, Leslie Hsu
Presentation: Slides are available to CDI Members. Please login to download the slides. If you would like to become a member of CDI, please email email@example.com.
Kyle Enns and Cristiana Falvo (USGS)
Abstract: USGS has a storied history of being in the forefront of science technology, developing novel hardware and software solutions to best address scientific needs. However, preserving legacy USGS data derived from those innovative tools can present significant challenges, particularly using traditional, manual preservation methods. For example, preserving a single, early generation USGS magnetotelluric data file in a modern, open-format is extremely complicated, and therefore time consuming and costly, for a human to prepare. USGS is believed to be in possession of tens of thousands of legacy magnetotelluric data files. However, in many fields of science and industry, software is rapidly replacing humans for complicated, labor intensive tasks. Therefore, to study the potential broad-scale application of software for USGS legacy data preservation, the USGS Data at Risk project partnered with the USGS Crustal Geophysics and Geochemistry Science Center to develop and publish a Python workbook that batch processes magnetotelluric data in EDI format, ready for USGS data release. This presentation will provide an overview of preservation project, the software mechanics of processing magnetotelluric data, and the potential of a generalized Python script to batch process all USGS magnetotelluric files.
Ferdinando Villa, Ph.D. (Basque Centre for Climate Change (BC3); IKERBASQUE, Basque Foundation for Science)
In the digital age, we need scientific data and models to be FAIR - Findable, Accessible, Interoperable, and Reusable - to help individuals, businesses, and governments make informed decisions. A fully connected information landscape using open, safe, accurate “Wikipedia-like” sharing and linking of data and models can enable data-intensive science, management and governance on a scale yet unimagined. In the last years, the ARIES (ARtificial Intelligence for Ecosystem Service ) platform has become a first complete implementation of a semantically integrated modeling technology, automatically assembling the ecosystem service models that offer the most context-accurate view of each human-natural systems under investigation. I will discuss a practical semantic integration approach by example, illustrating the four main pillars of innovation implemented in the k.LAB software:
Lastly, I will give a preview of the Integrated Modelling Partnership , bringing together institutions that will contribute to designing and building a fully integrated information landscape for the science of the future.
Bio: Ferdinando Villa is a theoretical ecologist who had a long parallel career as a scientific software designer and engineer. After working in many fields of base and applied ecology, he discovered the joys and the pains of interdisciplinary research during a 15-year stint in ecological economics at the universities of Maryland and Vermont. After moving back to Europe for a tenured position in 2010, he still finds it a challenge – and a responsibility – to maintain scientific depth unaltered in face of the greatly increased breadth required by modern science. His research sits at the multi-faceted interface of linguistics, computer science, social science, ecology and economics, concentrating on artificial intelligence approaches to assisting environmental decision making and natural system assessment and valuation. In 2017, he and his team founded the Integrated Modelling Partnership, joining institutions that are contributing to designing and building a fully integrated information landscape for science, using the technologies pioneered during his career. He has been the recipient of major research grants from the US National Science Foundation, the European Union, The UK NERC and other institutions, governments and NGOs, all aiming to contribute to the science of coupled natural/human systems and to build effective technologies for decision makers that take sound science and “democratize” it by putting it at the fingertips of decision makers worldwide.
A Participant Report is available to CDI Members. Please login to download the report. If you would like to become a member of CDI, please email firstname.lastname@example.org.