Once all but unknown to anyone but economics or high energy physics researchers, preprints are becoming more popular across the disciplinary spectrum. These unreviewed reports allow scholars to share their work with the wider research community as soon as it is finished, without having to navigate what can sometimes become a lengthy peer review process.
By Mario Malički and Juan Pablo Alperin This blog post is inspired by our four part series documenting the methodological […]
This blog is cross-posted from ASAPbio and reused under CC-BY 4.0 license.
In the last of our four-part series documenting the methodological challenges we faced during our project investigating preprint growth and uptake, we turn to the metadata of arXiv’s Quantitative Biology section.
This blog post is the third in a four part series documenting the methodological challenges we faced during our project investigating preprint growth and uptake.
Working with preprint metadata? As we highlight in this post, OSF’s preprint servers might not be the best place to start.
In this four-part blog series, we explore the many challenges we encountered in working with preprint metadata, including lack of documentation, missing values, and incompatible and erroneous data.
Which researchers preprint more than others in their network? In which research fields is preprinting growing in popularity, and in which fields is adoption disproportionately low?