Track 2: Customized Multi-tier Assistance, Training, and Computational Help (MATCH) for End User ACCESS to CI

轨道 2：为最终用户访问 CI 提供定制的多层协助、培训和计算帮助 (MATCH)

• 批准号: 2138286
• 负责人: Shelley Knuth
• 金额: $ 999.57万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-05-01 至 2027-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2138286&HistoricalAwards=false
• 关键词: Track; Customized; Multi; tier; Assistance

Customized Multi-tier Assistance, Training, and Computational Help (MATCH) provides End User Support services as part of the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program. NSF-supported computational cyberinfrastructure (CI) has been highly successful in advancing science and engineering over the last few decades. The use of CI has become ubiquitous in research, from traditional fields such as bioinformatics, computational chemistry and astrophysics, to new areas including text interpretation, visual arts and other humanities. This shift is not only happening in large research labs at major institutions, but also increasingly at smaller institutions where researchers are also looking to make use of CI resources. Along with that success, there have been significant changes to the makeup and size of the user community, improvements to the underlying compute, storage, and networking platforms used, and radically different methods by which researchers and CI professionals communicate. These changes require a rethinking of the role of user support services and how they are delivered. To address this, MATCH proposes a new model for implementing user support services that will encourage cost-effective, scalable support that can reach a broader community. The MATCH project develops new approaches, content, services, technologies, and expertise to make it easier for NSF CI users to find and utilize the specific level and type of support needed to effectively carry out their research. With this strategy, the MATCH project expands the reach and impact of NSF CI, serving both traditional and new members of the research computing and data community.The MATCH approach comprises three major themes: (1) leverage modern information delivery systems to simplify user interfaces; (2) leverage experts from the community to develop training materials and instructions that can dramatically reduce the user learning curve for several increasingly important CI computational techniques; and (3) employ a matchmaking service that will maintain a database of specialist mentors and student mentees that can be matched with projects to provide the domain-specific expertise needed to leverage ACCESS resources. Specifically, MATCH employs a new ACCESS MATCH Portal (AMP) that will serve as the single front door for end users to obtain guided support and assistance. Expert-monitored Q&A platforms will ensure user questions are accurately answered and addressed in a timely fashion, and easy-to use user interfaces such as Open OnDemand and Pegasus will be enhanced and improved to further simplify CI use and provide context directed help when problems are encountered. The system matches community experts with user needs to create documentation and other training materials or provides personal interactions that address the current real world needs of ACCESS users. By restructuring end user support, MATCH creates a multi-level infrastructure capable of scaling to assist a growing research community with increasingly specialized support needs, enabling new discoveries at the forefront of science and society.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.

定制多层协助、培训和计算帮助(Match)作为高级网络基础设施协调生态系统：服务和支持(Access)计划的一部分，提供最终用户支持服务。在过去的几十年里，NSF支持的计算网络基础设施(CI)在推动科学和工程方面取得了巨大的成功。从生物信息学、计算化学和天体物理学等传统领域，到文本口译、视觉艺术和其他人文学科等新领域，CI的使用在研究中已变得无处不在。这种转变不仅发生在主要机构的大型研究实验室，而且越来越多地发生在规模较小的机构，那里的研究人员也在寻求利用CI资源。在取得成功的同时，用户社区的组成和规模也发生了重大变化，所使用的底层计算、存储和网络平台得到了改进，研究人员和CI专业人员的沟通方式也发生了根本性的变化。这些变化要求重新思考用户支持服务的角色以及如何提供这些服务。为了解决这一问题，Match提出了一种实施用户支持服务的新模式，该模式将鼓励成本效益高、可扩展的支持，从而能够接触到更广泛的社区。Match项目开发了新的方法、内容、服务、技术和专业知识，使NSF CI用户更容易找到和利用有效开展研究所需的特定级别和类型的支持。通过这一战略，Match项目扩大了NSF CI的覆盖范围和影响，为研究计算和数据社区的传统成员和新成员提供服务。Match方法包括三个主要主题：(1)利用现代信息交付系统简化用户界面；(2)利用社区专家开发培训材料和说明，可以显著缩短用户对几种日益重要的CI计算技术的学习曲线；以及(3)采用匹配服务，该服务将维护专家导师和学生导师的数据库，该数据库可以与项目相匹配，以提供利用访问资源所需的特定领域的专业知识。具体地说，Match采用了新的Access Match门户(AMP)，该门户将作为最终用户获得指导支持和帮助的单一前门。专家监控的问答平台将确保准确回答和及时解决用户问题，并将增强和改进易于使用的用户界面，如Open OnDemand和Pegasus，以进一步简化CI的使用，并在遇到问题时提供上下文指导帮助。该系统将社区专家与用户需求相匹配，以创建文档和其他培训材料，或提供满足Access用户当前现实世界需求的个人交互。通过重组最终用户支持，Match创建了一个能够扩展的多层次基础设施，以帮助具有日益专业化的支持需求的不断增长的研究社区，使新的发现处于科学和社会的前沿。该奖项反映了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。

项目成果

The Multi-Tier Assistance, Training, and Computational Help (MATCH) Project, a Track 2 NSF ACCESS Initiative

多层援助、培训和计算帮助 (MATCH) 项目，属于 NSF ACCESS 计划的第 2 轨

• DOI: 10.22369/issn.2153-4136/13/2/4
• 发表时间: 2022
• 期刊: The Journal of Computational Science Education
• 作者: Knuth, Shelley L.;Ma, Julie;Adams, Joel C.;Chalker, Alan;Deelman, Ewa;Freeborn, Layla;Gazula, Vikram;Goodhue, John;Griffioen, James;Hudak, David
• 通讯作者: Hudak, David