Moving from opposition to taking ownership of open science to make discoveries that matter

Weigelt, Oliver; French, Kimberly A.; Bloom, Jessica de; Dietz, Carolin; Knoll, Michael; Kühnel, Jana; Meier, Laurenz L.; Prem, Roman; Pindek, Shani; Schmitt, Antje; Syrek, Christine J.; Rink, Floor

doi:10.1017/iop.2022.66

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…However, as Ricker (2017) notes, big data “may seem overtly quantitative, [but] the data are also overwhelmingly qualitative in nature, necessitating methodology distinctive to qualitative research” (p. 2). This then raises questions about how these guidelines and recommendations might be appropriately applied to qualitative, mixed methods, and other research traditions (Steltenpohl et al., 2023; Weigelt et al., 2022). These reforms may seem like positive solutions to counteract reports of questionable research practices that have been noted in both qualitative and quantitative research, such as selective reporting or extrapolating results beyond evidence/findings (e.g., Antonio et al., 2020; Cook et al., 2018; Fraser et al., 2018; John et al., 2012; Makel et al., 2021; Perazzo et al., 2019).…”

Section: Why New Ethics In An Era Of Big Data?mentioning

confidence: 99%

Qualitative research at the crossroads of open science and big data: Ethical considerations

Stegenga,

Steltenpohl,

Lustick

et al. 2023

Social & Personality Psych

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Open science practices are quickly being scaled up with publishers, grant‐makers, and Institutional Review Boards implementing new open policies, including requirements for increased data sharing across all types of research. Prior open science guidelines have focused mostly on issues relevant to quantitative, lab‐based, experimental research. Qualitative and other research traditions must be considered in the further development and implementation of these guidelines to ensure ethical practices in a new era where data is plentiful and being leveraged for research and other means. This article includes a discussion of why we must consider new research ethics in this era of big data and what steps can be taken to improve research practices through a systems change framework, The Consolidated Framework for Implementation Research.

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Section: Why New Ethics In An Era Of Big Data?mentioning

confidence: 99%

Qualitative research at the crossroads of open science and big data: Ethical considerations

Stegenga,

Steltenpohl,

Lustick

et al. 2023

Social & Personality Psych

View full text Add to dashboard Cite

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Needs-based off-job crafting across different life domains and contexts: Testing a novel conceptual and measurement approach

et al. 2022

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Shaping off-job life is becoming increasingly important for workers to increase and maintain their optimal functioning (i.e., feeling and performing well). Proactively shaping the job domain (referred to as job crafting) has been extensively studied, but crafting in the off-job domain has received markedly less research attention. Based on the Integrative Needs Model of Crafting, needs-based off-job crafting is defined as workers’ proactive and self-initiated changes in their off-job lives, which target psychological needs satisfaction. Off-job crafting is posited as a possible means for workers to fulfill their needs and enhance well-being and performance over time. We developed a new scale to measure off-job crafting and examined its relationships to optimal functioning in different work contexts in different regions around the world (the United States, Germany, Austria, Switzerland, Finland, Japan, and the United Kingdom). Furthermore, we examined the criterion, convergent, incremental, discriminant, and structural validity evidence of the Needs-based Off-job Crafting Scale using multiple methods (longitudinal and cross-sectional survey studies, an “example generation”-task). The results showed that off-job crafting was related to optimal functioning over time, especially in the off-job domain but also in the job domain. Moreover, the novel off-job crafting scale had good convergent and discriminant validity, internal consistency, and test–retest reliability. To conclude, our series of studies in various countries show that off-job crafting can enhance optimal functioning in different life domains and support people in performing their duties sustainably. Therefore, shaping off-job life may be beneficial in an intensified and continually changing and challenging working life.

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Moving from opposition to taking ownership of open science to make discoveries that matter

Cited by 2 publications

References 15 publications

Qualitative research at the crossroads of open science and big data: Ethical considerations

Qualitative research at the crossroads of open science and big data: Ethical considerations

Needs-based off-job crafting across different life domains and contexts: Testing a novel conceptual and measurement approach

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