CDI Workshop Links Page (sharepoint.com)Note! We will have live polling as a part of this session for those online or with phones in person.Session Schedule 10:30-10:35: Session Overview & Colorado River Basin ASIST Information Atlas Vision, Jessica Driscoll
10:35-10:50: Esri ArcGIS Hub features for open science: demonstration, Helen Turvene/ Kristen Hocutt
10:50-11:05: Using Knowledge for External & Internal Communication. Alicia Torregrosa
11:05-11:20: Next steps in the USGS Social and Economic Drivers Program socioeconomic research data integration efforts, Megan Hines
11:20-11:35: Square Pegs in Boreholes? The National Index of Borehole Information and ReSciColl: Different Needs, Different Applications, Dan Arthur
11:35-11:50: USGS ca. 2004-2023 – Sanding down the edges of square pegs to fit them in round holes, Sky Bristol
11:50-12:00: Summary of feedback from live polling and next steps, Jessica Driscoll / Nicole Herman-Mercer
Session DescriptionThis session will encourage open discussion on the challenges associated with designing interdisciplinary science information portals to discuss the opportunities and challenges to connect data in terms of format and accessibility. Often building integrated, interoperable science information portals can fall into a trap of being expected to be “the” solution for every problem (e.g. ‘one ring to rule them all’). This session will also encourage active participation of the hybrid audience through live (e.g. Mentimeter) polling to gather CDI community perspectives, specifications of requirements for an interdisciplinary FAIR science portal, and language to better communicate limitations of a given interdisciplinary science product. This session is timely and fits with the “open data for open science” theme of the CDI Workshop to facilitate an open conversation on challenges and opportunities of science information portal design efforts across the community, to increase awareness of lessons learned and how to avoid developing what could be seen as competing products, what data are great candidates for inclusion into science information portals and why some data just don’t fit in integrated database architecture discussions.