Workshop: Data Curation: Ensuring Quality and Access to Enable New Science

该奖项支持将于2012年9月在弗吉尼亚州阿灵顿举行的NSF研讨会：数据管理：确保质量和获取，以实现新科学。数据对全球经济的价值已经得到了很好的证明，并引发了对从事数据管理和管理、数据分析和“大数据”管理的专业人员的培训需求。很明显，糟糕的数据比没有数据更糟糕，因为它浪费时间，导致科学和决策的糟糕，并削弱了对整个数据企业的信任。数据策展在数据生命周期的每个阶段都需要工具和技术，以实现人们信任的有效和高效的数据服务。该研讨会汇集了数据管理领域的领先研究人员，以建立一个研究议程，指导这些工具和技术的开发。该研讨会将通过定义支持科学和学术数据的选择、元数据注释、存储、访问、使用和再利用以及保存的工具和技术的方向，对新兴的数据管理研究和开发社区产生影响。这些工具和技术将使科学和学术更有效，并可适用于个人数据管理应用，如个人健康或教育记录。讲习班网站（http：//www.unc.edu/）提供的信息将用于传播进一步的信息，包括讲习班报告，该报告将为今后的数据收集研究和后续活动提供路线图。

This award supports the NSF Workshop: Data Curation: Ensuring Quality and Access to Enable New Science, to be held in September 2012 in Arlington, VA. The value of data to the global economy has been well-documented and spawned calls for training professionals who practice data curation and stewardship, data analytics, and "big data" management. It is evident that poor data is worse than no data because it wastes time, leads to poor science and decisions, and diminishes trust in the entire data enterprise. Data curation demands tools and techniques at each phase of the data life cycle that lead to effective and efficient data services that people trust. This workshop brings together leading researchers in data curation to establish a research agenda to guide development of these tools and techniques. This workshop will have impact on the emerging data curation research and development community by defining directions for tools and techniques that support selection, metadata annotation, storage, access, use and reuse, and preservation of scientific and scholarly data. Such tools and techniques will make science and scholarship more effective and may be adapted to personal data management applications such as personal health or educational records. The workshop web site (http://datacuration.web.unc.edu/) provides will be used to disseminate further information, including the resulting workshop report that will provide a roadmap for the future data curation research and follow-up activities.