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ObjectivesCOVID-19 accentuated the importance of breaking down data siloes and aligning incentives for data access, collection, and use. Health Data Research Network Canada (HDRN Canada) is responding to this challenge, bringing together people and organizations to transform health data use in Canada.
ApproachHDRN Canada's foundation is its partnership of 20 pan-Canadian, provincial and territorial data organizations that together are enabling multi-regional research. This is being enriched with HDRN Canada's development of the Canada Health Data Research Alliance (HDR Alliance). The HDR Alliance coordinates expansion of sources and types of data available while retaining organizational independence. A project-based pilot approach is underway with two large pan-Canadian, longitudinal, consented cohort studies being linked at HDRN Canada sites. In addition, a collaboration with a pan-Canadian COVID19 clinical trials network is ensuring that clinical data are collected in ways that enables linkage with population-based administrative data.
ResultsHDRN Canada has created a single data access portal for researchers with information on over 500 datasets and supported 72 research projects to date. Work on the HDR Alliance adds data from the Canadian Partnership for Tomorrow's Health and the Canadian Longitudinal Survey on Aging. The former includes 350,000 individuals, and survey data (including related to COVID-19), physical measures and genomics. The latter includes 50,000 individuals with survey data and physical measures. Four multi-region clinical trials are being planned with the support of HDRN Canada. Even with aligned incentives, challenges navigating data governance and access processes remain. Collaborations are necessary to address these complexities and enable access to richer data in an efficient and timely matter.
ConclusionStrong partnerships are critical to unlocking the potential of Canada's data assets and expertise. The HDR Alliance provides a collaboration mechanism to increase the "findability", accessibility and utility of data assets, while addressing complex issues in the data landscape. This increases research opportunities and the impact of population-based, linkable data.

With nationalism on the rise around the world, many worry that nationalistic attitudes could lead to a surge in deadly conflict. To combat this trend, federations like the European Union have tried to build inclusive regional identities to overcome nationalist distrust and inspire international cooperation. Yet not all nationalisms are alike. Nationalisms in International Politics draws on insights from psychology to explore when nationalist commitments promote conflict—and when they foster cooperation. Challenging the received wisdom about nationalism and military aggression, Kathleen Powers differentiates nationalisms built on unity from those built on equality, and explains how each of these norms give rise to distinct foreign policy attitudes. Combining innovative US experiments with fresh analyses of European mass and elite survey data, she argues that unity encourages support for external conflict and undermines regional trust and cooperation, whereas equality mitigates militarism and facilitates support for security cooperation. Nationalisms in International Politics provides a rigorous and compelling look at how different forms of nationalism shape foreign policy attitudes, and raises important questions about whether transnational identities increase support for cooperation or undermine it.

Discussion on the possibilities for and barriers to income convergence and catch-up growth is at the heart of the debate on European regional economic policy. This study presents an empirical analysis of the determinants of regional productivity growth in Europe, using the most recent Cambridge Econometrics regional database, EU KLEMS growth and productivity accounts and EuroStat R&D data. We apply a reduced-form empirical specification for semi-endogenous productivity growth that allows for differences in steady state income levels and long-run growth rates. Productivity growth in a region depends on its level of human capital, the investments in R&D, and the productivity gap with the technology frontier. Empirical findings show that these factors are interrelated. Apart from a technology gap, absorptive capacity is important to realize catch-up. Both convergence and divergence of productivity across regions are possible. Results show that all considered factors have significant effect on disparity in regional productivity growth, although effects across manufacturing and service sectors are different. The estimated model also features stable dynamic properties in response to an exogenous shock.