Promoting Action to Build Research Communities in the Age of Open Science

该项目将举办为期一天的讲习班，将主要大学领导人(如校长/校长)聚集在一起，集中关注与在“开放的”计算和数据科学领域建立稳健的学术职业道路有关的问题。这些科学家可能不适合传统的学术轨道模式，因为他们创造的产出与传统期刊论文不同。本研讨会将为大学领导阐明在这类计算和数据科学学科中的职业发展轨迹的机会和挑战。预计成果将成为可操作的指导方针，用于大学实施促进计算和数据科学学术生涯的原则，机构通过专门的资金支持、学术活动指标、职业晋升程序等来支持这些原则。研讨会取得预期的结果将对个人的职业道路产生巨大影响，导致更高职位的科学家更加开放，这反过来又将带来积极的社会变化。该项目将举办为期一天的讲习班，将主要大学领导人(如校长/校长)聚集在一起，集中关注与在“开放的”计算和数据科学领域建立稳健的学术职业道路有关的问题。这些科学家可能不适合传统的学术轨道模式，因为他们创造的产出与传统期刊论文不同。所有研究领域都感受到了与这一新的开放科学范式有关的挑战，包括国家科学基金会内的研究领域。本研讨会将为大学领导阐明在这类计算和数据科学学科中的职业发展轨迹的机会和挑战。预计成果将成为可操作的指导方针，用于大学实施促进计算和数据科学学术生涯的原则，机构通过专门的资金支持、学术活动指标、职业晋升程序等来支持这些原则。研讨会取得预期的结果将对个人的职业道路产生巨大影响，导致更高职位的科学家更加开放，这反过来又将带来积极的社会变化。

This project will conduct a one-day workshop to bring together key university leaders (e.g., presidents/provosts) to focus attention on issues related to establishing robust academic career paths in the "open" computational and data sciences. These scientists might not fit under traditional academic track models as they create different outputs than the traditional journal articles. This workshop will elucidate for university leaders the opportunities and challenges of career trajectories in such computational and data science disciplines. Outcomes are expected to be actionable guidelines for universities to operationalize principles for promoting academic careers in computational and data science, for agencies to support them through dedicated funding support, metrics of scholarly activity, procedures for career promotion, etc. Achieving the desired outcomes from the workshop will lead to massive impacts in terms of career paths for individuals, leading to more open scientists in higher positions, which will in turn lead to positive societal changes. This project will conduct a one-day workshop to bring together key university leaders (e.g., presidents/provosts) to focus attention on issues related to establishing robust academic career paths in the "open" computational and data sciences. These scientists might not fit under traditional academic track models as they create different outputs than the traditional journal articles. The challenges identified related to this new paradigm of Open Science are being felt in all areas of research including those represented within the NSF. This workshop will elucidate for university leaders the opportunities and challenges of career trajectories in such computational and data science disciplines. Outcomes are expected to be actionable guidelines for universities to operationalize principles for promoting academic careers in computational and data science, for agencies to support them through dedicated funding support, metrics of scholarly activity, procedures for career promotion, etc. Achieving the desired outcomes from the workshop will lead to massive impacts in terms of career paths for individuals, leading to more open scientists in higher positions, which will in turn lead to positive societal changes.