Caring for Indigenous Data to Evaluate the Benefits of Indigenous Environmental Programs.

Advances in open data, big data and data linkage allow us to analyse more data and on a larger scale than ever before. However, this brings with it the challenge of ensuring that Indigenous data sets are used in a way that protects Indigenous rights to that data and maximises benefits for Indigenous peoples. The CARE principles for Indigenous data governance-Collective Benefit, Authority to Control, Responsibility and Ethics-were developed to protect Indigenous data sovereignty, but there are few examples of how to translate these principles into practice. In this paper, we show how these CARE principles can be applied to data collection, integration, analysis and translation practices. Our case study is a project that used data reported by Indigenous ranger groups to capture the multiple benefits of Indigenous land and water management activities. Through this case study, we offer a framework for the design and use of CARE-informed data practices, which can be embedded into project design to enable the ethical and responsible use of Indigenous data to improve Indigenous policies and services. Such practices are critical in the context of ongoing demand for Indigenous data for bureaucratic purposes, and Indigenous interest in using that data to influence management and policy decisions affecting their estates and resources.

Young and under the influence: A systematic literature review of the impact of cannabis on the driving performance of youth.

BACKGROUND: Young drivers ages 15-24 continue to constitute a high-risk population for fatal motor vehicle collisions (MVCs) compared to all other age groups. Driving under the influence of cannabis is an important contributor to the high rates of MVCs among youth. Understanding the specific impact of cannabis on the driving performance outcomes of young drivers can inform injury prevention, education, and intervention strategies. OBJECTIVES: This systematic literature review (SLR) aims to determine the Class (I- highest to IV-lowest) of evidence and level of confidence (A-high to U-insufficient) in the effects of cannabis on the driving performance of young drivers. METHODS: Registered in PROSPERO (#CRD42020180541), this SLR searched seven data bases and appraised the quality and confidence in the evidence using an established research methodology. RESULTS: Class II evidence suggests that THC is likely to reduce mean speed, headway distance, and reaction time; and increase lane and steering wheel position variability among young drivers (Level B, moderate confidence). CONCLUSIONS: This study shows that there is a moderate to low level of confidence on the impact of cannabis on the specific driving performance outcomes of young drivers. A need remains for Class I and II studies that focus on the specific effects on young drivers, distinguish between the biological and socially constructed variables of sex and gender, and includes larger and more representative samples.