Press release originally published by Simon Fraser University on January 6, 2021 A new SFU-led study finds that almost half of media stories in early 2020 featuring COVID-19 ‘preprint’ research—research that has not yet been peer-reviewed—accurately framed the studies as being preprints or unverified research.
Data management is a core aspect of the research process, helping scholars organize their work, share it with others, and collaborate effectively.
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.
As governments across the world grapple with the impacts of the COVID-19 pandemic, several other urgent crises have taken a back seat. Among them is the opioid epidemic. Here in Vancouver, BC, where almost half of our team is based, the effects of this second, fatal crisis are visible every day. Just this May, our province reported a record-breaking number of overdose-related deaths: 170 in a single month, or about 5.5 a day.
“We want to support the evidence-based development of metrics that are appropriate and well thought-out instead of repeating mistakes of the past by creating more flawed indicators.”
By Mario Malički and Juan Pablo Alperin This blog post is inspired by our four part series documenting the methodological […]
What research outputs did you fund? [Research funders need to track the outcomes of research that they have funded. To facilitate this Europe PMC has recently developed the ]{style=“background-color: transparent; color: black; font-family: "arial"; font-size: 11pt; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;
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.