NNLM Center for Data Science and Delivery of Data Services

国家数据科学中心 摘要 当研究人员缺乏处理有效数据的知识和技能时， 管理，可重复的研究实践和有意义的数据共享。越来越多的图书馆员 正在为数据管理和数据科学的最佳实践提供支持，但仍然存在巨大的 图书馆界尚未开发的潜力。国家医学图书馆网络（NNLM） 数据科学和数据服务交付中心（NCDS）将协调国家努力， 培训和资源，以提高图书馆员的能力， 医学的战略目标：1）通过提供数据驱动的工具来加速发现和促进健康 研究，以及2）为数据驱动的研究和健康建立劳动力。NCDS团队带来了广泛的 数据技能，以及成功开发机构数据的经验 在国家一级为图书馆员提供支持和开发资源、培训和指导。非传染性疾病 将与NNLM的区域医学图书馆、办公室和中心（ROC）合作， 通过与国家数据组织的广泛联系， 编程，并组建具有临床信息学，生物信息学， 社区参与、机器学习、数据伦理和开放科学，以征求对我们工作的反馈 并保持对当前数据问题的广泛认识。国家儿童发展委员会将与国家儿童基金会合作， 评估中心（NEC），以更好地了解我们所服务的社区的需求，确保 培训、资源和支持的设计和提供方式应满足这些需求， 最佳做法的信息，并评估方案目标的实现情况。建议的教育 计划将强调对现有内容的精心管理，而不是“重新发明轮子”， 资源，如用于自主学习的在线数据路线图和课程库 资源NCDS还将侧重于支持知识应用和整合， 培训课程，协助将知识付诸实践，并进行编码培训， 代码马拉松以巩固知识。其他方案将包括一系列非会议， 社区建设和资源开发。我们将开发一个管道计划， 图书馆学实习，图书馆和信息科学和大学生从社区目前 在职业中代表性不足。NCDS将利用多种渠道进行沟通， 包括网站、博客和社交媒体，以及与ROC和外部合作伙伴合作 外展组织。NCDS将采用协调、数据驱动和创新的方法， 提高卫生信息专业人员提供数据服务的能力，并以此促进 高效和可复制的研究，并促进更大的合作。

National Center for Data Science Abstract Scientific progress is impeded when researchers lack the knowledge and skills to engage in effective data management, reproducible research practices, and meaningful data sharing. A growing number of librarians are providing support for best practices in data management and data science, but there is still tremendous untapped potential across the library community. The Network of the National Library of Medicine (NNLM) Center for Data Science and Delivery of Data Services (NCDS) will coordinate national efforts to provide training and resources to increase capacity among librarians to support two of the National Library of Medicine’s strategic goals: 1) accelerate discovery and advance health by providing the tools for data-driven research, and 2) build a workforce for data-driven research and health. The NCDS team brings a broad set of data skills to this undertaking, as well as experience in successful development of institutional data support and in developing resources for, training, and mentoring librarians on the national level. The NCDS will work collaboratively with the NNLM’s Regional Medical Libraries, Offices and Centers (ROCs), draw upon extensive connections with national data organizations to increase outreach and partner on programming, and assemble an external advisory board with expertise in clinical informatics, bioinformatics, community engagement, machine learning, data ethics, and open science to solicit feedback on our efforts and to maintain awareness of a breadth of current data issues. The NCDS will partner with the National Evaluation Center (NEC) to better understand the needs of the communities we are serving, ensure that training, resources, and support are designed and delivered in ways that meet those needs, generate information on best practices, and evaluate the achievement of the program aims. The proposed education programs will emphasize careful curation of existing content over “reinventing the wheel” in order to build resources such as an online Data Roadmap for self-directed learning and a repository of curricular resources. The NCDS will also focus on support for knowledge application and consolidation, offering courses with coaching to assist in bringing knowledge into practice and training in coding followed by codeathons to consolidate knowledge. Other programming will include a series of unconferences to support community building and development of resources. We will develop a pipeline program to provide data librarianship internships to Library and Information Science and college students from communities currently underrepresented in the profession. The NCDS will take advantage of multiple channels to communicate, including website, blogs, and social media, as well as collaborating with the ROCs and external partner organizations for outreach. The NCDS will use a coordinated, data-driven, innovative approach, to build capacity for providing data services among health information professionals, and in this way facilitate efficient and reproducible research and promote greater collaboration.