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The nature of science and scholarship is being transformed by the ability to collect and integrate vast quantities of information. Some sciences such as ecology and environmental science are inherently integrative, requiring the combination of many types of information from many sources in order to answer more complex questions than has been previously possible. This new information and the information management tools designed to deal with this volume of data will help us make informed decisions that will impact human health and prosperity. To enable this cross-scale, interdisciplinary integration for the coming generations of scholars, data must be managed to facilitate interoperability, preservation, and sharing. This panel will explore best practices in data curation and models of education for new data curation professionals.We define the discipline of "data curation" and "digital curation" as the practice of collection, annotation, conditioning and preservation of (mostly digital) data for both current and future use.

The safety of Automated Driving System (ADS) equipped vehicles and reliable methods for assessing that safety are critical for public acceptance of these engineered systems. This document presents a novel approach for developing an ADS safety measurement methodology, which came from the NIST Automated Driving System Safety Measurement (ADSSM) Technical Working Group. This document presents the concept of an Operating Envelope Specification (OES), a structured description of environmental factors or aspects that an ADS may encounter during operation and relates it to the Operational Design Domain (ODD) of ADS-equipped vehicles.Reasoning about the operating conditions of an ADS-equipped vehicle, using OES and during relevant scenarios or other modalities of test, can be classified as relating to specific engineering concerns such as functional, communications, or trustworthiness concerns and for purposes of providing an assurance case for each concern. One such classification is provided by the NIST Framework for Cyber-Physical Systems (CPS Framework) [1]. The CPS Framework provides a set of engineering concerns that can be used to sort or classify constraints on system behaviors, such as those provided by regulation or roadway design or those determined during system development. This methodology will be presented in future work.