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En session hur Google tänker för att göra det enkelt för oss användare genom att bygga upp och fostra ett Echo system med dataset som fungerar....
Google Dataset Search:
Building an Open Ecosystem for Dataset Discovery Natasha Noy Google Research Wednesday, March 18, 2021 9:00 a.m. (PT) Required Zoom Registration: Meeting Registration - Zoom
The National Science Foundation’s (NSF) tracks A and B of the Convergence Accelerator program are proud to present another speaker in its 2021/2022 speaker series on Open Knowledge Networks. The series will feature researchers and practitioners widely recognized for their contribution to knowledge graphs, knowledge engineering, and FAIR data
Abstract. There are thousands of data repositories on the Web, providing access to millions of datasets. National and regional governments, scientific publishers and consortia, commercial data providers, and others publish data for fields ranging from social science to life science to high-energy physics to climate science and more. Access to this data is critical to facilitating reproducibility of research results, enabling scientists to build on others’ work, and providing data journalists easier access to information and its provenance. In this talk, we will discuss recently launched Dataset Search by Google, which provides search capabilities over potentially all dataset repositories on the Web. I will talk about the open ecosystem for describing datasets that we hope to encourage.
Bio: Natasha Noy is a senior staff scientist at Google Research where she works on making structured data accessible and useful. She leads the team building Dataset Search, a search engine for all the datasets on the Web. Prior to joining Google, Noy worked at Stanford Center for Biomedical Informatics Research where she made major contributions in the areas of ontology development and alignment, and collaborative ontology engineering. Noy is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI). She served as president of the Semantic Web Science Association from 2011 to 2017.
@salgo60 anmält
@dennis_priskorn då syns vi där.... bra artikel från Google AI blog där man pekar på vikten av unika identifierare för datasetten se Building Google Dataset Search and Fostering an Open Data Ecosystem
Tycker mig inte se denna dialog någonstans om persistenta identifierare för fakta i dataset, vilket med min bakgrund med att lagt till källor på Wikipedia för att skapa trovärdighet så måste version av dataseten kunna adresseras unikt med typ DOI och även peka på vilken version av datat jag ser men även skillnad mellan versioner.... Harvard Dataverse har detta tänk med DOI i sina dataset se
