BD2K CONSORTIUM ACTIVITIES

BD2K中心联盟的活动将侧重于收集资源和实现 以个别中心无法有效完成的方式采取主动行动。该财团将 召集能够领导生物医学大数据和 以协调的方式推进倡议的目标，它将吸引拥有资源的机构来 提供必要的支持。我们已经确定了几个我们认为特别重要和 与单个中心相比，联合体将更有效地解决这个问题。这些目标包括1) 形成一个紧密合作的知识界，专注于BD2K倡议的挑战 强调跨学科交流和协作；2)制定和实施 数据标准，这些标准之间的协调，以及开发数据管理和分析 工具；3)预测与大数据相关的新出现的挑战，这些挑战在当前 对BD2K倡议的愿景和初步制定应对这些挑战的战略；和4) 探索与生物医学大数据研究相关的法律、伦理和隐私问题。《知识工程》 伊利诺伊大学的中心完全致力于积极参与实现这些目标，并 建议开展以下活动：1)就联合会提议的专题组织讲习班 成员，但所有成员都感兴趣，并围绕研讨会的主题建立社区， 可以扩展到联盟之外；2)参与联盟范围内的标准工作组，旨在 改善各个中心开发的工具和方法之间的互操作性，并密切合作 与现有标准小组合作；3)组织小型会议，仿效戈登的模式 会议，并优先考虑年轻的调查人员，重点是查明新出现的 生物医学大数据领域的挑战，以及应对当前挑战的相关黑客松；4)组织 为解决与分析相关的法律、道德和隐私/安全问题而举行的财团范围内的座谈会 生物医学大数据

Activities of the BD2K Centers Consortium will be focused on gathering resources and achieving goals of the Initiative in ways that could not be accomplished effectively by individual Centers. The Consortium will assemble experts who are able to lead the fields represented under the heading of biomedical Big Data and advance the goals of the initiative in a coordinated way, and it will draw in institutions with the resources to provide the necessary support. We have identified several goals that we view as particularly important and that will be addressed more effectively by the Consortium than by individual Centers. These goals include 1) forming a close-knit, collaborative intellectual community focused on the challenges of the BD2K Initiative with an emphasis on interdisciplinary communication and collaboration; 2) developing and implementing data standards, coordinating between those standards, and developing data management and analysis tools; 3) anticipating emerging challenges related to Big Data that are not fully characterized in the current vision for the BD2K Initiative and initial development of strategies that address those challenges; and 4) exploring legal, ethical, and privacy concerns related to biomedical Big Data research. The KnowEnG Center at the University of Illinois is fully committed to participate actively in pursuing these objectives, and proposes to implement the following activities: 1) organizing workshops on topics proposed by Consortium members but of interest to all members, and building communities around the themes of the workshops that can extend beyond the Consortium; 2) participating in Consortium-wide standards working groups aiming to improve interoperability between tools and methods developed in individual Centers, and in close cooperation with existing standards groups; 3) organizing small conferences, on the model of the Gordon Conferences and with priority given to young investigators, focusing on the identification of emerging challenges in biomedical Big Data, with associated hackathons to address current challenges; 4) organizing Consortium-wide colloquia to address legal, ethical and privacy/security issues associated with the analysis of biomedical Big Data