Microstructure Research Data Workshop at the South Big Data Innovation Hub

这次研讨会将汇集专家，推动微观结构材料科学数据集的公共可获得性和互操作标准，这类数据对材料科学研究的许多领域具有广泛的实用价值。该研讨会建立在以前研讨会的基础上，后者成功地确定了制造业中常用的微结构描述符中的有针对性的差距，以将决定结构性能的合成和宏观性能联系起来。该讲习班旨在确定在全球范围内实现分布式和联合微结构数据的互操作性所需的元数据。确定和采用这些元数据标准将对制造业产生广泛的实际影响，并将通过社区参与和建立共识来实现。研讨会的成果将有可能极大地推动制造业的发展；有效地为目标结构性能制定综合战略，包括对极端环境(如核反应堆和风力发电场)、极端天气条件(海岸侵蚀)、桥梁疲劳和地震破坏的恢复能力。本次研讨会将重点讨论以公平原则为导向的数据管理问题规范，这些问题在以前的会议中被认为是数据科学企业的关键，包括：1)元数据管理、2)数据所有权、来源和共享、3)本体和模式等。研讨会将包括一些轨道：数据科学教育和劳动力、制造、团队科学、智慧城市、数据共享和健康差异。此外，材料路径将与其他路径联系，并将：1)与弹性城市的专家联系，询问他们关心水泥、钢铁等的哪些属性，并将这些属性纳入案例研究；2)与团队科学的专家联系，就如何有效地执行研讨会中确定的可操作项目提供建议；以及3)与劳动力发展方面的专家联系，寻求帮助，为该领域的数据技术人员制定培训计划(例如，技术人员、研究人员、这一奖项反映了NSF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。

This workshop will bring together experts to advance public accessibility and interoperation standards for microstructural material science datasets, a category of data that has broad utility for many areas of materials science research. The workshop builds on previous workshops, which succeeded in identifying targeted gaps in microstructure descriptors commonly used in manufacturing to correlate synthesis and macroscopic properties that determine structural performance. This workshop aims at identifying metadata needed to enable interoperability of distributed and federated microstructure data worldwide. The identification and adoption of these metadata standards will have widespread practical impacts in manufacturing, and be pursued through community engagement and consensus building. The results of this workshop will have the potential to dramatically advance manufacturing industries; efficiently developing synthesis strategies towards targeted structural performance, that could include resilience to extreme environments such as nuclear reactors and wind farms, to extreme weather conditions (coastal erosion), to fatigue in bridges, and to earthquake damage.This workshop will focus on FAIR principles-oriented specifications for data management issues that were deemed crucial to the data science enterprise in previous gatherings, including: 1) metadata curation, 2) data ownership, provenance and sharing, 3) ontologies and schema, etc. The workshop will include a number of tracks: Data Science Education and Workforce, Manufacturing, Team Science, Smart Cities, Data Sharing, and Health Disparities. In addition, the materials track will reach out to the other tracks and will: 1) connect with experts in resilient cities and ask what properties in cement, steel, etc. they are concerned with and incorporate those in the case studies, 2) connect with experts in Team Science for advice on how to efficiently execute the actionable items identified in the workshop, and 3) connect with experts in Workforce development for help in crafting a training program for data technicians in this realm (e.g. how much data science and how much materials science would a technician, researcher, etc. need to know to work in this space).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.