Challenges and Opportunities in Scientific Data Discovery and Reuse in the Data Revolution: Harnessing the Power of AI

科学数据的数量和异质性超出了研究人员的范畴。查找相关数据、使不同格式可互操作以及处理困难的本体论和语言问题的能力。取得进展需要将数据管理专家与人工智能（AI）专家聚集在一起，开始就人工智能工具进行对话和协作，以跨越数据及其重用之间的差距。pi将组织“数据革命中科学数据发现和重用的挑战与机遇：利用人工智能的力量”会议；其目标是将不同的利益相关者聚集在一起，包括研究图书馆员和数据管理人员、人工智能社区、科学数据的用户和消费者，围绕数据生命周期中人工智能可能具有开创性的关键领域进行对话。该项目由美国国家科学基金会资助。该项目由NSF高级网络基础设施办公室代表基金会管理。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The volume and heterogeneity of scientific data goes beyond a researcher?s ability to find relevant data, make different formats interoperable, and deal with difficult ontological and language issues. Progress requires bringing together experts in data curation with experts in Artificial Intelligence (AI) to begin a dialog and collaboration on AI tools to span the gap between data and its reuse. The PIs will organize the conference "Challenges and Opportunities in Scientific Data Discovery and Reuse in the Data Revolution: Harnessing the Power of AI"; the objective is to bring together diverse stakeholders including research librarians and data managers, the AI community, and users and consumers of scientific data to dialog around critical places in the data lifecycle where AI could be groundbreaking. This project is supported by the National Science Foundation?s Public Access Initiative which is managed by the NSF Office of Advanced Cyberinfrastructure on behalf of the Foundation.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.