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The open science (OS) movement has the potential to fundamentally shape how researchers conduct research and distribute findings. However, the implications for research on lesbian, gay, bisexual, trans, intersex, and queer/questioning (LGBTIQ+) experiences present unique considerations. In this paper, included in the special issue on Reimagining LGBTIQ+ Research, we explore how the OS movement broadens access to and comprehension of LGBTIQ+ experiences while simultaneously imposing limitations on the representation of these identities and raising concerns about risks to LGBTIQ+ researchers and participants. Our research focuses on three facets of the OS movement. First, we examine practices related to open data, which advocates that data should be accessible to other researchers to analyze. Yet, providing access to such data challenges may compromise trust between the research team and study participants. Second, we examine practices related to open replicable research, particularly as it has the potential to both highlight and erase the experiences of groups within the LGBTIQ+ community. Finally, we consider how open access, making scholarly articles free to the public, may help educate a broader audience on the lived experiences of LGBTIQ+ people, but in regions where these identities remain heavily stigmatized and/or criminalized, access may be blocked or individuals could be penalized for retrieving this information. [ABSTRACT FROM AUTHOR]

This article addresses the complex issue of sexual orientation and gender identity (SOGI) data collection in workplaces, highlighting the intricate balance between fostering inclusion and mitigating potential harm and exclusion.1 This tension manifests uniquely across diverse cultural, legal, and organizational settings. We review existing literature, offer practical guidance for decision‐makers, and outline future research avenues. While SOGI data collection in workplaces can enhance diversity, equity, and inclusion (DEI) initiatives and elevate the visibility of lesbian, gay, bisexual, transgender, intersex, and queer (LGBTIQ+) employees, challenges include the risk of discrimination, privacy concerns, and linguistic complexities. To address these, researchers and practitioners must consider the purpose, language, and cultural context of data collection, involving LGBTIQ+ stakeholders, and conducting reconnaissance studies. Future research opportunities lie in understanding employee willingness to share SOGI data, motivations of human resource (HR) and DEI professionals, and the impact on organizational culture. Reimagining LGBTIQ+ research to ease the tension between inclusion and protection, we conclude that responsible SOGI data collection demands a nuanced approach that prioritizes inclusion and equity while addressing privacy concerns and potential harm. [ABSTRACT FROM AUTHOR]

Objective: Work on longevity has found protective social, cognitive, and emotional factors, but to date we have little understanding of the impact of motivational dynamics. Autonomy orientation, or stable patterns of self-regulation, is theorized to be a protective factor for long-term mental and physical health (Ryan & Deci, 2017), and it is therefore a prime candidate for examining how stable psychosocial factors are linked to longevity, or life expectancy.Method: Essays written in the 1930s by participants in the Nun Study were coded for indicators of an autonomy orientation. These were selected in line with an extensive theoretical literature based in self-determination theory (Deci & Ryan, 1985). Essays were coded for the propensity for choice in action, susceptibility to pressure, self-reflection, integration of experiences, and parental support for autonomy. These coded variables were used to predict age of death.Results: Using 176 codable essays provided by now-deceased participants, linear regression analyses revealed that choiceful behavior, self-reflection, and parent autonomy support predicted age of death. Participants who demonstrated these stable and beneficial motivational characteristics lived longer.Conclusions: Personality constructs reflecting a healthy form of self-regulation are associated with long-term health. Implications for health interventions are discussed. [ABSTRACT FROM AUTHOR]

Abstract: MEAP, the moving ensemble analysis pipeline, is a new open‐source tool designed to perform multisubject preprocessing and analysis of cardiovascular data, including electrocardiogram (ECG), impedance cardiogram (ICG), and continuous blood pressure (BP). In addition to traditional ensemble averaging, MEAP implements a moving ensemble averaging method that allows for the continuous estimation of indices related to cardiovascular state, including cardiac output, preejection period, heart rate variability, and total peripheral resistance, among others. Here, we define the moving ensemble technique mathematically, highlighting its differences from fixed‐window ensemble averaging. We describe MEAP's interface and features for signal processing, artifact correction, and cardiovascular‐based fMRI analysis. We demonstrate the accuracy of MEAP's novel B point detection algorithm on a large collection of hand‐labeled ICG waveforms. As a proof of concept, two subjects completed a series of four physical and cognitive tasks (cold pressor, Valsalva maneuver, video game, random dot kinetogram) on 3 separate days while ECG, ICG, and BP were recorded. Critically, the moving ensemble method reliably captures the rapid cyclical cardiovascular changes related to the baroreflex during the Valsalva maneuver and the classic cold pressor response. Cardiovascular measures were seen to vary considerably within repetitions of the same cognitive task for each individual, suggesting that a carefully designed paradigm could be used to capture fast‐acting event‐related changes in cardiovascular state. [ABSTRACT FROM AUTHOR]

While simultaneous acquisition of electrocardiography ( ECG) data during MRI is a widely used clinical technique, the effects of the MRI environment on impedance cardiography ( ICG) data have not been characterized. We collected echo planar MRI scans while simultaneously recording ECG and thoracic impedance using carbon fiber electrodes and customized amplifiers. Here, we show that the key changes in impedance (dZ/dt) and features of the ECG waveforms are not obstructed during MRI. We present a method for ensemble averaging ICG/ECG signals collected during MRI and show that it performs comparably with signals collected outside the MRI environment. These results indicate that ICG can be used during MRI to measure stroke volume, cardiac output, preejection period, and left ventricular ejection time. [ABSTRACT FROM AUTHOR]