A Template-Driven Platform for Contextualised Researcher Profiles

📅 2026-05-14
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This work proposes BIP! Scholar, a novel researcher profiling platform that addresses the limitations of existing systems, which predominantly focus on publications and bibliometric indicators and thus fail to capture the full spectrum of scholarly contributions in context. BIP! Scholar introduces a template-driven architecture that enables researchers to flexibly construct structured profiles based on trajectories, narratives, or hybrid models, tailored to specific evaluation or presentation needs. By integrating customizable templates, multi-faceted research activity modeling, and a user-configurable interface, the platform dynamically represents non-traditional outputs, roles, and scholarly activities. This approach significantly enhances the contextual adaptability and evaluative utility of researcher profiles and empowers assessment experts to design and test new profiling templates.
📝 Abstract
Modern researchers engage in diverse activities, assume multiple contribution roles, and produce a variety of outputs beyond traditional publications. This broader view of research contributions is increasingly recognised by responsible research assessment initiatives. However, existing researcher profiling platforms remain largely focused on publications and publication-centric indicators, offering limited support for contextualised and multi-dimensional representations of research careers. This paper presents BIP! Scholar, a platform that supports flexible researcher profiling through a template-driven approach. Researchers can create profiles tailored to different presentation or assessment contexts using track-based, narrative-style, or hybrid templates which support the representation of diverse outputs, contribution roles, and broader research activities. The platform also supports research assessment experts who wish to design and evaluate experimental profile templates.
Problem

Research questions and friction points this paper is trying to address.

researcher profiling
responsible research assessment
contextualised representation
multi-dimensional contributions
research outputs
Innovation

Methods, ideas, or system contributions that make the work stand out.

template-driven profiling
contextualised researcher profiles
responsible research assessment
multi-dimensional research contributions
flexible profile templates
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