Qualitative Metascience: A Framework for Cultivating Healthier and More Translationally Impactful Neuroscience-Neuroethics Research Ecosystems

Abstract

Navigating the demands of translational research requires not only addressing scientific issues, but also managing conflicting sociopolitical, cultural, psychosocial, epistemic, and ethical relationships across diverse communities and academic disciplines. Data and analysis of intensive interviews on these phenomena with researchers are presented here, which led to the co-design of a larger, ongoing study in a neuropsychiatric research community. The results generated a set of hypotheses-particularly regarding conflicts and challenges at the neuroscience-neuroethics interface as experienced by neuroscientists-which have not been fully articulated or examined in the neuroethics literature. Results suggest that knowledge system-level dynamics which limit reflexive engagement with the emotional-intellectual challenges of interdisciplinary work pose barriers to neuroethics-neuroscience integration. This article describes the data and methods which provide the foundation for a qualitative metascience model designed in response to these psychosocial and sociocultural challenges. The goal of qualitative metascience is to cultivate healthier and more translationally impactful neuroscience-neuroethics research ecosystems.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 5 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.