This site is under development. For the current active site, go to bcbhub.csic.es.

Orcid Publication

Detalle de: Credit, recognition, and reward for non-traditional research artefacts in the Life Sciences

Title Credit, recognition, and reward for non-traditional research artefacts in the Life Sciences
Abstract

Publication metrics remain the primary academic performance assessment in modern academia. This focus has fostered the publish or perish culture, negatively impacting research output quantity and quality. Consequently, a gap exists in the recognition and reward of impactful non-traditional research artefacts, such as curated datasets, research software, and training materials. To address this, we share perspectives to expand the assessment consideration for researchers producing these outputs. We also highlight the dedicated roles and need for wider consideration of career paths of digital research technical professionals, including academic data curators, research software engineers and domain expert trainers. Through a mapping of valuable non-traditional artefacts illustrated by Life Science examples of ELIXIR Europe, we aim to foster a productive and sustainable Open Science ecosystem where these outputs are made visible and considered. We examine the technical solutions for credit and sociological barriers to recognition and reward, while also considering the impacts of generative AI. Furthermore, we discuss policy and funder mandate reforms to ensure those responsible for non-traditional research artefacts are properly recognised and rewarded, to accelerate global scientific discovery.

Apa Reference Farrell, G., Alloza, E., Bouhraoua, A., Capella-Gutierrez, S., Goble, C., Hermjakob, H., Smith, A., Sufi, S., Vergoulis, T., Zoubiri, M., Quaglia, F. & Tosatto, S.C. (2026). Credit, recognition, and reward for non-traditional research artefacts in the Life Sciences. 10.31222/osf.io/praxg_v1
Doi 10.31222/osf.io/praxg_v1
Publication Date 10 Mar 2026
Publication Type Preprint
Researcher Salvador Capella
Ontology Artificial Intelligence, Bioinformatics Software and Tools, Bioinformatics Infrastructure, Mapping
Research Groups
Tools

Suggest changes

Publications are synced automatically from ORCID, so they can't be edited here directly. Spotted something wrong? Let us know below and we'll take care of it.

← Return to Home