Editorial: AI for Data Discovery and Reuse
Huajin Wang
Keith Webster
10.1184/R1/10093568.v1
https://kilthub.cmu.edu/articles/conference_contribution/Editorial_AI_for_Data_Discovery_and_Reuse/10093568
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<p>There is great value embedded in reusing scientifc data for secondary discoveries. However, it is challenging to find and reuse
the large amount of existing scientific data distributed across the
web and data repositories. Some of the challenges reside in the
volume and complexity of scientific data, others pertain to the current practices and workflow of research data management. AIDR
2019 (Artificial Intelligence for Data Discovery and Reuse) is a new
conference that brings together researchers across a broad range
of disciplines, computer scientists, tool developers, data providers,
and data curators, to share innovative solutions that apply artificial
intelligence to scientific data discovery and reuse, and discuss how
various stakeholders work together to create a healthy data ecosys-
tem. This editorial summarizes the main themes and takeaways
from the inaugural AIDR conference. </p>
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2019-10-31 13:21:12
Artificial Intelligence
Data Reuse
Data Discovery
open science
research data management
metadata