Collaborative RAPID Digital Infrastructure Design Workshop, San Juan, Puerto Rico, May 29, 2018

After every natural disaster, it is difficult to answer elementary questions on how to provide high quality water supplies and health services. There is no existing digital infrastructure to scientifically determine the hurricane impact on drinking water quality, the severity of a hazard to human health, or baseline data on the sophistication, connectivity, and operations of the distributed physical and related digital infrastructure systems. We test data publication mechanisms after Hurricane Maria in Puerto Rico to understand risk to human health by (1) assessing the spatial and temporal presence of waterborne pathogens in multiple types of systems, (2) demonstrate usability of CUAHSI HydroShare as a clearinghouse for data related to Hurricane Maria, Harvey and Irma and (3) and develop a prototype cyberinfrastructure to assess environmental and public health impacts. Our resulting archive and research software engineering practices provide a prototype cyberinfrastructure system for researchers to study natural disasters.

How can data sharing and archiving capabilities be enhanced to ensure the greatest impact? Recovery efforts from natural disasters can be more efficient with data-driven information on current needs and future risks. We advance open-source software infrastructure to support scientific investigation and data-driven decision making with a data sharing system using a water quality assessment developed to investigate post-Hurricane Maria drinking water contamination in Puerto Rico. One limitation to effective disaster response is easy and rapid access to diverse information about available resources and maps of community resource needs and risks. Research products are made Findable, Accessible, Interoperable, and Reproducible (FAIR) using a collaborative, online sharing platform – HydroShare. Curating a central repository of assembled research data has the potential to greatly facilitate coordinated disaster responses of all types, with opportunities to improve planning, preparedness, and monitoring of the recovery process.

This workshop focuses on the presentation of preliminary data for the purpose of collaborative design that ensures the research products are delivered based on the preferences of future users. Participants answered the questions 1 ) What information about water do people need after a disaster? 2) How is information about water most effectively shared? 3) What are the difficulties faced when trying to communicate this type of information? Results were grouped to understand the information needs of academic water data researchers, federal drinking water regulators, local utilities (PRASA and community system operators, health researchers, and household data owners.

The National Science Foundation funded Collaborative RAPID: Building Infrastructure for Preventing Drinking Water Disasters project policies support data sharing mechanisms informed by federal and project guidelines. The workshop was hosted by Inter American University of Puerto Rico, Center for Environmental Education, Conservation and Research (CECIA-IAUPR) and the National Science Foundation Collaborative RAPID Project Team (NSF 1810647 ) . Participants include scientists and professionals from University of Puerto Rico San Juan, Region 2 Caribbean Environmental Protection Division (CEPD) Region 2 US EPA , Western Hemisphere Association of Sanitary and Environmental Engineers and Scientists, US Department of Health Potable Water Program, Puerto Rico Aqueduct and Sewer Authority (PRASA), and Patillas Community Water Systems.

Links to online data resources:
Hurricane Maria 2017 StoryMaps at https://arcg.is/00f1ij
Collaborative RAPID project Wiki: https://github.com/hydroshare/PuertoRicoWaterStudies/wiki
CUAHSI Community Project Landing page: https://www.cuahsi.org/projects/maria2017
HydroShare Puerto Rico Water Studies Group Resources: https://www.hydroshare.org/group/43
Collaborative RAPID Project Team: https://github.com/hydroshare/PuertoRicoWaterStudies/wiki/Collaborators

Workshop Outcomes:
1. User driven data priorities by scenario card sorting
2. Recruitment for Design Interviews for population health data
3. Collaborative Design for Information Distribution
4. RAPID project refined personas
5. Puerto Rico Water Studies Group collaborative authorship experiment (this resource)

自然灾害发生后，难以回答有关如何提供高质量供水和医疗服务的基本问题。目前尚无现成的数字基础设施，可以科学地确定飓风对饮用水质量的影响、对人类健康的危害程度，以及分布式物理和相关的数字基础设施系统在复杂程度、互联互通和运营方面的基线数据。我们在波多黎各玛利亚飓风之后测试了数据发布机制，以了解人类健康风险，通过以下方式：（1）评估多种系统中水传播病原体的空间和时间存在情况，（2）展示CUAHSI HydroShare作为与玛利亚飓风、哈维和艾尔玛相关的数据信息库的可用性，（3）开发一个原型网络基础设施，以评估环境和公共卫生影响。我们的成果库和研究软件工程实践为研究人员提供了一个原型网络基础设施系统，以研究自然灾害。如何提升数据共享和存档能力以确保最大的影响？自然灾害的恢复工作可以通过基于当前需求和未来风险的数据驱动信息变得更加高效。我们推进开源软件基础设施，以支持科学调查和数据驱动决策，使用开发用于调查波多黎各玛利亚飓风后饮用水污染的数据共享系统。有效灾难响应的一个局限是快速便捷地获取有关可用资源和社区资源需求和风险的多样化信息。通过协作的在线共享平台HydroShare，将研究成果产品制作成可寻、可访问、可互操作和可重复（FAIR）的形式。汇编研究数据的中央存储库具有极大地促进各类灾害协调响应的潜力，以及改善规划、准备和恢复过程监控的机会。本次研讨会专注于初步数据的展示，旨在确保研究产品根据未来用户的偏好进行合作设计。参与者回答了以下问题：1）灾难后人们需要哪些关于水的信息？2）如何最有效地共享关于水的信息？3）在尝试传达此类信息时面临的困难有哪些？结果被分组，以了解学术水数据研究人员、联邦饮用水监管机构、地方公用事业公司（PRASA和社区系统运营商）、健康研究人员和家庭数据所有者的信息需求。美国国家科学基金会资助的协作RAPID：预防饮用水灾害基础设施建设项目政策支持基于联邦和项目指南的数据共享机制。研讨会由波多黎各美洲大学环境教育、保护和研究中心（CECIA-IAUPR）和美国国家科学基金会协作RAPID项目团队（NSF 1810647）主办。参与者包括来自波多黎各圣胡安大学、第2区加勒比环境保护部门（CEPD）、第2区美国环境保护署（US EPA）、西半球卫生和环境工程师和科学家协会、美国卫生部的饮用水计划、波多黎各水道和污水处理管理局（PRASA）以及帕蒂拉社区供水系统的科学家和专业人士。在线数据资源链接：https://arcg.is/00f1ij，https://github.com/hydroshare/PuertoRicoWaterStudies/wiki，https://www.cuahsi.org/projects/maria2017，https://www.hydroshare.org/group/43，https://github.com/hydroshare/PuertoRicoWaterStudies/wiki/Collaborators。研讨会成果包括：1.通过场景卡片排序确定用户驱动数据优先级；2.招募设计访谈以获取人口健康数据；3.信息分发合作设计；4.RAPID项目细化角色；5.波多黎各水研究小组合作作者实验。