Author : Elen Le Foll
Broadly defined as the study of language, linguistics is a diverse field spanning many disciplines. Recent studies on the prevalence of Questionable Research Practices (QRPs) in linguistics (e.g. Isbell et al. 2022) suggest that it suffers from many of the same issues that triggered the replication crisis in psychology (see e.g. Sönning and Werner 2021). While surveys have indicated that linguists are generally in favour of Open Science/Scholarship (OS), there appears to be a “a misalignment between the attitude to and the adoption of OS practices” (Liu and de Cat 2024, 64).
The present study aims to gain insights into this misalignment by exploring linguists’ understanding of what constitutes OS and of the specificities of linguistic research that (can) affect its applicability to (subdisciplines of) linguistics. To this end, the study draws on the results of an anonymous, small-scale survey and the qualitative analysis of semi-structured interviews conducted with 26 linguists based in Northern Europe, representing all career stages, and a wide range of subdisciplines within linguistics.
The results reveal diverse understandings of OS among linguists. While some focus on the accessibility of research (for both academics and the wider public), others prioritise the sharing of data, materials, and code to promote transparency, reproducibility, and replicability. The latter group also emphasises the importance of OS principles and values like rigour, fairness, and collaboration. Linguists report learning about OS through conferences, workshops, library services, and social media but, most importantly, in personal interactions with other researchers, thus making much of this knowledge network-dependent.
The interviewees highlight several challenges and considerations that they believe need to be addressed when applying OS to linguistics. These include ethical and legal issues concerning data sharing, the high inter-person variability inherent to many linguistic studies, the need for (more) funding for open-access monographs, and for training in data management and statistical methods.
