Europe PMC: unlocking the potential of COVID-19 preprints | European Bioinformatics Institute


Europe PMC is now indexing full-text preprints related to the COVID-19 pandemic and the SARS-CoV-2 virus, as well as the underlying data
The project will make COVID-19 scientific literature available as fast as possible in a single repository, in a format that allows text mining
Researchers and healthcare professionals will be able to access and reuse preprints more easily, accelerating research into better treatments or a vaccine….”

A dataset describing data discovery and reuse practices in research | Scientific Data

Abstract:  This paper presents a dataset produced from the largest known survey examining how researchers and support professionals discover, make sense of and reuse secondary research data. 1677 respondents in 105 countries representing a variety of disciplinary domains, professional roles and stages in their academic careers completed the survey. The results represent the data needs, sources and strategies used to locate data, and the criteria employed in data evaluation of these respondents. The data detailed in this paper have the potential to be reused to inform the development of data discovery systems, data repositories, training activities and policies for a variety of general and specific user communities.


Intellectual property rights retention in scholarly works at Australian universities

“Rights retention in scholarly works can include a spectrum of copyright arrangements, reuse rights, and machine readability4 . Copyright retention by authors or universities for scholarly works is becoming preferred by some funders and advocates. Ideally, these changes would take place on the national level. However, recommendations for legislative or national policy change are outside the scope of this report as they require extensive consultation with stakeholders and government. This briefing report has therefore focused on the potential to achieve reuse rights retention in institutional IP policies only….”

The Role of Open Data in Science Communication | Unlocking Research

“Research on the topic shows just how powerful this tool can be. For example, the recent survey by the Open Knowledge Foundation, conducted in the UK in response to the COVID-19 pandemic, found that 97% of those polled believed that it’s important for COVID-19 data to be openly available for people to check, and 67% believed that all COVID-19 related research and data should be openly available for anyone to use freely. Similarly, a 2019 US survey conducted before the pandemic found that 57% of Americans say that they trust the outcomes of scientific studies more if the data from the studies is openly available to the public….”

‘Better Every Semester’: How Faculty Use Open Educational Resources to Improve Courses | EdSurge News

“Much of the attention that open educational resources have earned focuses on their low cost. After all, a free or inexpensive alternative to a pricey commercial textbook can make a big difference for students at institutions like Salt Lake Community College, who are “mostly not affluent,” Hardy says.


But OER advocates think open access course materials hold another kind of promise for students, too. Designed to be flexible and alterable, educators and students can continually test how well they work and improve them as necessary, “ensuring the course materials are better every semester than they were the semester before,” says David Wiley, chief academic officer of Lumen Learning, a company that sells low-cost open textbooks and courseware….”

The re-use of qualitative data is an under-appreciated field for innovation and the creation of new knowledge in the social sciences | Impact of Social Sciences

“Qualitative data reuse has been made increasingly possible both through a proliferation of accessible data sources, and innovation in research methods. Over the last two decades there have been large scale investments in archives and repositories capturing a ‘tsunami’ of new data. Furthermore, there has been tremendous innovation in wide-ranging methods of qualitative data re-use (e.g. Irwin and Winterton, 2011; Davidson et al. 2018; Hughes et al. 2020; Jamieson and Lewthwaite, 2019; Tarrant and Hughes, 2019; Hughes and Tarrant, 2020). Not only are qualitative data important documents of human life, they are an endlessly creative resource that connect us to the much longer social histories of which we are part. As the lockdown makes traditional approaches to qualitative research challenging, now is an appropriate time for us to reconsider the tendency for primary data generation to be the ‘go to’ form of fieldwork and new research.”

What are your priorities for data sharing? – The Official PLOS Blog

“We’ve been working to identify important problems faced by researchers in the practice of open research. And, to deepen understanding of researchers’ priorities with regards to sharing research data, we’ve launched a new study. If you are a researcher residing in the US or Europe who has shared or reused research data please take a few minutes to take part in the survey.

The results of the survey will also help determine if and how well researchers’ needs are met by existing tools and services for sharing research data, and inform future PLOS initiatives and partnerships – beyond the publication of open access journals….”

ScholCommLab co-director receives funding to analyze patterns of how research data is cited and reused  – Scholarly Communications Lab | ScholCommLab

“Have you ever wondered what motivates researchers to reuse open data and what makes them cite (or not cite) datasets in their work? Or how sharing, reusing and citing open data differs between research areas or changes during a researcher’s career?

ScholCommLab co-director Stefanie was awarded $199,929 US ($281,660 CDN) by the Alfred P. Sloan Foundation to fund Meaningful Data Counts, an interdisciplinary project exploring a range of questions about scholarly data use and citation. Together with co-PI Isabella Peters, Professor of Web Science at the ZBW Leibniz Information Centre for Economics and CAU Kiel University (Germany), Stefanie and her team will conduct the basic research necessary to understand how datasets are viewed, used, cited, and remixed….”