The FAIR principles have been widely cited, endorsed and adopted by a broad range of stakeholders since their publication in 2016. By intention, the 15 FAIR guiding principles do not dictate specific technological implementations, but provide guidance for improving Findability, Accessibility, Interoperability and Reusability of digital resources. This has likely contributed to the broad adoption of the FAIR principles, because individual stakeholder communities can implement their own FAIR solutions. However, it has also resulted in inconsistent interpretations that carry the risk of leading to incompatible implementations. Thus, while the FAIR principles are formulated on a high level and may be interpreted and implemented in different ways, for true interoperability we need to support convergence in implementation choices that are widely accessible and (re)-usable. We introduce the concept of FAIR implementation considerations to assist accelerated global participation and convergence towards accessible, robust, widespread and consistent FAIR implementations. Any self-identified stakeholder community may either choose to reuse solutions from existing implementations, or when they spot a gap, accept the challenge to create the needed solution, which, ideally, can be used again by other communities in the future. Here, we provide interpretations and implementation considerations (choices and challenges) for each FAIR principle.

Somatic/affective depressive symptoms were more strongly and consistently associated with mortality and cardiovascular events in patients with heart disease compared with cognitive/affective symptoms. Future research should focus on the mechanisms by which somatic/affective depressive symptoms may affect cardiovascular prognosis.

As more digital resources are produced by the research community, it is becoming increasingly important to harmonize and organize them for synergistic utilization. The findable, accessible, interoperable, and reusable (FAIR) guiding principles have prompted many stakeholders to consider strategies for tackling this challenge. The FAIRshake toolkit was developed to enable the establishment of community-driven FAIR metrics and rubrics paired with manual and automated FAIR assessments. FAIR assessments are visualized as an insignia that can be embedded within digital-resources-hosting websites. Using FAIRshake, a variety of biomedical digital resources were manually and automatically evaluated for their level of FAIRness.

Background: The biopsychosocial model of challenge and threat specifies a challenge-threat continuum where favorable demand-resource evaluations, efficient cardiovascular responses, and superior performance characterize challenge; and maladaptive outcomes like clinical depression characterize threat states. The model also specifies task engagement, operationalized as heart rate and ventricular contractility increases, as a prerequisite for challenge and threat states. The blunted cardiovascular reactivity to stress literature describes reductions of these increases and associates them with problems like clinical depression. Objectives: To determine whether blunted cardiovascular reactivity to stress has implications for challenge and threat theory. Methods: We review and synthesize the literatures on blunted cardiovascular reactivity to stress and the biopsychosocial model. Results: Blunted cardiovascular reactivity appears not to reflect a physiological inability to respond to stress. Rather, it reflects a contextually dependent motivational dysregulation and reduced reactivity to stress consistent with deficient task engagement in the biopsychosocial model. Conclusion:We argue that blunted cardiovascular reactivity represents deficient task engagement, and more generally, motivational disengagement due to threat states. Our biopsychosocial model-based approach conceptualizes this motivational disengagement as a tendency to avoid motivated performance situations. This tendency may represent a defense mechanism against subsequent threat and might explain associations with disorders like clinical depression.