Prioritizing Data Life Cycle Management for Shaping Next Generation Researchers

该项目旨在通过使下一代研究人员能够有效和道德地规划，保证，保存和共享他们的研究数据来服务于国家利益。 数据无处不在，数据滥用的后果是研究和技术创新中的主要问题。为了让科学和工程为社会提供充分的价值，下一代研究人员需要能够产生可访问的、符合道德的使用和共享数据。这个IUSE的学生学习水平2项目的重点是本科研究人员，并提供最佳实践，策略和工具包，以帮助实现有用的和道德的数据管理，因为他们消费和生产数据。开发的教育材料旨在推动在广泛的教育和研究环境中的道德数据管理教育。跨领域的研究人员越来越多地利用数据驱动的方法来提高他们的学术水平。这些做法需要技能，以有效和道德地管理整个研究过程中的数据。对于在真实的研究环境中处理数据的本科研究人员来说，要确保他们处理的数据以及从数据中得出的结论是准确和有用的，需要掌握很多东西。为了重点培养下一代工程研究人员，以及更广泛的STEM研究人员，项目团队计划制定一个基于证据的框架，以指导旨在培养“数据生命周期伦理管理”跨学科能力的课程。可能限制数据驱动结果的准确性和有用性的伦理问题取决于在数据生命周期中可能提出此类问题的位置（即，计划、访问、保证、描述、评估、保存和发布）。通过整合和扩展两个框架，研究数据生命周期（RDLC）和本科生研究技能发展（RSD）框架，项目团队将开发数据生命周期伦理管理教育的示范课程。拟议项目有三个具体目标：（1）确定本科研究人员的能力（知识，技能和信心）方面的数据生命周期伦理管理，（2）制定一个框架，以评估学生的数据生命周期伦理管理技能在研究中，（3）制定，实施，以及发放有关数据生命周期道德管理的公开教育资源和单元（课程），以支持本科研究人员的数据能力。NSF IUSE：EDU计划支持研究和开发项目，以提高所有学生STEM教育的有效性。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project aims to serve the national interest by enabling the next generation of researchers to effectively and ethically plan, assure, preserve, and share their research data. Data are everywhere and the consequences of data misuse is of major concern in research and technological innovation. For science and engineering to deliver full value to society, next generation researchers need to be able to produce data that are accessible and ethically used and shared. This IUSE Engaged Student Learning Level 2 project focuses on undergraduate researchers and offers best practices, strategies, and toolkits to help achieve useful and ethical data management as they consume and produce data. The educational materials developed are intended to advance ethical data management education in a wide array of educational and research settings. Researchers across domains are increasingly leveraging data-driven methods to advance their scholarship. These practices require skills to effectively and ethically manage data throughout the research process. For undergraduate researchers who work with data in real research settings, there is much to master to assure that the data they work with and the conclusions drawn from that data are accurate and useful. With a focus on shaping the next generation of researchers in engineering and, more broadly in STEM, the project team plans to develop an evidence-based framework that will guide curricula designed to develop interdisciplinary competencies for “data life cycle ethical management.” Ethical concerns that could limit the accuracy and usefulness of data-driven results differ depending where in the data life cycle such concerns could be raised (i.e., plan, access, assure, describe, evaluate, preserve, and publish). By integrating and expanding two frameworks, the Research Data Life Cycle (RDLC) and Undergraduate Research Skill Development (RSD) framework, the project team will develop a model curriculum for data life cycle ethical management education. There are three specific objectives of the proposed project: (1) to determine undergraduate researchers’ competencies (knowledge, skills, and confidence) with respect to data life cycle ethical management, (2) to develop a framework for assessing students’ data life cycle ethical management skills within research, (3) to develop, implement, and disseminate open education resources and modules (curricula) for data life cycle ethical management to support the data competencies of the undergraduate researchers. The NSF IUSE: EDU Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.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.