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构性超出了研究人员的范畴-S有能力找到相关数据，使不同格式具有互操作性，并处理困难的本体和语言问题。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展开对话和合作，以弥合数据及其重复使用之间的差距。PIS将组织题为“数据革命中科学数据发现和再利用的挑战和机遇：利用人工智能的力量”的会议；会议的目标是将包括研究图书馆员和数据经理、人工智能社区以及科学数据的用户和消费者在内的不同利益攸关方聚集在一起，围绕数据生命周期中人工智能可能具有开创性的关键位置进行对话。该项目由国家科学基金会-S公共接入计划支持，该计划由美国国家科学基金会高级网络基础设施办公室代表该基金会管理。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智力优势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.