In this paper we discuss interdisciplinarity through data as a way to create research environments that are more flexible and, as a result, more amenable to change. We report our findings from facilitating and evaluating a data-oriented early-career fellowship program that was administered as part of the Research Data Alliance (RDA), a global organization that aims to enable open sharing and re-use of data. 

On the task of changing scientific research into open scientific research and commiting to Open Science principles.

By examining publication records of scientists from four disciplines, the authors show that coauthoring a paper with a top-cited scientist early in one's career predicts lasting increases in career success, especially for researchers affiliated with less prestigious institutions.

While we need to alert researchers to the presence of predatory journals, we should mostly put our efforts into transforming the academic research environment and reward systems, raising standards and developing true collegiality both within and between institutions.

Here, the authors study mentorship in scientific collaborations, and find that mentorship quality predicts the scientific impact of protégés post mentorship. Moreover, female protégés collaborating with male mentors become more impactful post mentorship than those who collaborate with female mentors.

Effective Research Data Management (RDM) is a key component of research integrity and reproducible research, and its importance is increasingly emphasised by funding bodies, governments, and research institutions around the world. However, many researchers are unfamiliar with RDM best practices, and research support staff are faced with the difficult task of delivering support to researchers across different disciplines and career stages. What strategies can institutions use to solve these problems? Engaging Researchers with Data Management is an invaluable collection of 24 case studies, drawn from institutions across the globe, that demonstrate clearly and practically how to engage the research community with RDM.

Correcting mistakes and updating findings is often considered to be a key characteristic of scientific research. In practice, self-correction of published research is infrequent, difficult to achieve, and perceived to come with reputational costs. 

Part one of a longitudinal study over three years about the behaviour of researchers under 35 who have yet to achieve established or tenured positions.

Scientists are more efficient at producing high-quality research when they have more academic freedom, according to a recent study of 18 economically advanced countries. Researchers in the Netherlands are the most efficient of all.  The existence of a national evaluation system that is not tied to funding was also associated with efficiency.

An intelligent machine learning framework for scientific evaluation of researchers may help decision makers to better allocate the available funding to the distinguished scientists through providing fair comparative results, regardless of the career age of the researchers.

Paper advising universities to provide early-career researchers with temporal space for research and networking, facilitate stays at other universities, inform them about career success factors, and tailor faculty development programmes to the distinct stages of academic careers.