Data and code from: Assessing data management and sharing plans: The “state of play” at Duke and opportunities for cross-campus collaborations

This dataset underlies the paper "Assessing data management and sharing plans: The “state of play” at Duke and opportunities for cross-campus collaborations." To more effectively understand “the state of play” regarding data management and sharing plans at Duke Duke University Libraries and Duke Office of Scientific Integrity staff analyzed data management and sharing plans (DMSPs) submitted to the National Science Foundation (NSF) in 2021. The project team used a modified version of the DART rubric (https://osf.io/qh6ad/) to score DMSPs against required elements in key areas including types of data; standards for data and metadata; access sharing and preservation; limitations on access distribution and reuse; and roles and responsibilities. The data shared here includes the coding comparison data for the subset of elements used in the analysis and the data sharing/repository coding data as well as the R code used to process the data and perform the analysis.

本数据集支撑学术论文《评估数据管理与共享计划：杜克大学现状与跨校区合作机遇》。为全面掌握杜克大学数据管理与共享计划的当前态势，杜克大学图书馆与杜克大学科学诚信办公室的工作人员，对2021年提交至美国国家科学基金会（National Science Foundation, NSF）的数据管理与共享计划（Data Management and Sharing Plans, DMSPs）开展分析工作。项目团队采用经改良的DART评分表（https://osf.io/qh6ad/），围绕数据类型、数据与元数据标准、获取共享与保存、访问分发与再利用限制，以及角色与职责等关键领域的必填要素，对数据管理与共享计划进行评分。本次公开的数据集包含本次分析所用要素子集的编码对比数据、数据共享/存储库编码数据，以及用于处理数据并开展分析的R代码。