The ESIP Information Quality Cluster, collaborating with other groups from around the world, has led the formation the baselined International Community Guidelines for Sharing and Reusing Quality Information of Individual Earth Science Datasets (see https://doi.org/10.31219/osf.io/xsu4p). The baselined dataset quality guidelines offer an opportunity for improvement to serve multiple disciplines, use cases, and domains of applied sciences. In addition to the Earth sciences and related study areas, various disciplines and data types each need information about data quality when assessing data for potential reuse and when deciding how to use the data. For example, when studying climate change, environmental hazards, and other multidisciplinary issues, often, data from various disciplines are integrated. Such multidisciplinary data integration activities raise cross-disciplinary questions about the quality of individual datasets and approaches to fusing such cross-disciplinary quality information. Also, new questions about data quality emerge when planning to use the products and services that include datasets that have been integrated from various disciplines. Session participants will discuss use cases and data quality issues for interdisciplinary data (re)use and integration in terms of the implications for enhancing the dataset quality guidelines.
Recommended ways to prepare for this session: Identify data quality questions and issues of interest.
Session Notes
Session Recording
