会议主题：面向下一代数据驱动的科学范式：政策、实践和平台

　　随着信息技术的广泛应用，全球科学研究范式悄然变化。为解决全球科学研究的数字化挑战，迫切需要面向多源、异质、异构、海量数据，提供高效可行的综合解决方案。为此，全球多国、地区和各科学领域致力于强有力的数据基础设施建设与探索，并同时推进开放科学政策建设和实践。面向数据驱动的科学研究的政策和实践，相关利益者众多：资助机构、科研团体，乃至社会公众。FAIR原则的推出更进一步加速了科学数据管理政策的贯彻落实，并提升了大规模基础设施的建设能力，增强了学术共同体从容应对复杂数据管理场景的可能。

　　本次会议将为参会者提供基于全球化多领域科学研究的全新视角，致力于共同探讨数据驱动的下一代科学范式下的政策制订、实践推广以及数据基础设施平台的支撑建设等诸多方面的最新进展和未来展望。

　　会议注册已经开放，我们以最诚挚的热情，欢迎您来北京参加CODATA2019会议。更多会议信息，请登录会议官方网站http://codata2019.csp.escience.cn。会议主要信息如下：

　　一、会议时间与地点

　　会议时间：2019年9月19日至20日

　　会议地点：北京友谊宾馆

　　二、主办与承办单位

　　主办单位：国际数据委员会（CODATA）

　　     CODATA中国全国委员会

　　承办单位：中国科学院计算机网络信息中心

　　三、大会确定的主要议题（Session）

　　1.GeoInformatics: building on the foundations for open data sharing and interoperability in the Earth Sciences to  support the next generation of data-driven geoscience discovery

　　2.Data sharing from policy to practice–moving beyond national to global

　　3.Key approaches and datasets for supporting natural disaster monitoring and effect evaluation

　　4.Building a global network infrastructure for international cooperation on data-intensive science

　　5.Data Centers from Around the World: Sharing Best Practices for FAIR Data

　　6.Data for a sustainable driven urban tourism development

　　7.FAIR Digital Objects–Implementing FAIR Principles

　　8.Oceanographic data and information management, data quality control and product development

　　9.Big Data Integration for Environmental Analysis in Pan-Third Pole

　　10.Next-generation data assemblages for enhanced citizen participation in sustainable development

　　11.Interactive cloud infrastructures for multi-disciplinary research

　　12.Precision Medicine Knowledge Base

　　13.Big Scientific Data Management

　　14.Innovative Designs for Extensive Data Infrastructures, Analysis and Information

　　15.The GO FAIR Implementation Matrix: Maximising the Reuse of Existing FAIR Resources

　　16.Materials Data Platforms for Engineering

　　17.Data-driven practices in support of the United Nation’s SDG11, 15

　　18.How to effectively manage controlled-access of data

　　19.Building resilience on food security and nutrition through Open Data

　　20.The Digital Representation of Units of Measure: Challenges and Opportunities for Data Integration

　　21.The 2030 Sustainable Development Goals: Data Driven Inclusive Innovation-Role of Marginalized Groups.

　　22.The evidentiary time lag in introducing data intensive technologies in clinical practice

　　23.Expert views on evaluating data sharing efforts and practices: an international dialogue fostered by an interest group of the research data alliance.

　　24.FAIR and Open data policies

　　25.Metrics for Assessing the Use, Impact, and Value of Scientific Data

　　26.Research Service based on the Integration of Open Data and Scientific Literature

　　27.The Key Role of the Scientific Unions in Enabling Transdisciplinary Data-intensive Science in support of Global Challenges

　　28.Institutional Research Data Management: fostering data sharing practices among communities and institutions

　　29.Data Driven Cities meeting Global Challenges

　　30.Coordinating Global Open Science Commons Initiatives

　　31.FAIR and Open Data policies in Asia and the Pacific Region: Issues, Challenges and Way Forward.

　　32.Tackling Complexity: FAIR data for interdisciplinary research and global challenges

　　33.General Submissions