Games Academics Play and Their Consequences: How Authorship, H-Index and Journal Impact Factors Are Shaping the Future of Academia
Research is a highly competitive profession where evaluation plays a central role. Yet such evaluations are often done in inappropriate ways that are damaging to individual careers, and to the profession.
Poor research design and data analysis encourage false-positive findings. The persistence of poor methods results partly from incentives that favour them, leading to the natural selection of bad science.
Open Access Potential and Uptake in the Context of Plan S
This report provides quantitative and descriptive data on the availability and usage of various open access options in different fields and subdisciplines. Its goal was to inform Coalition S funders on the open access options and identify fields where there is a need to increase the share of open access journals/platforms.
Open Science, Open Data and Open Scholarship: European Policies to Make Science Fit for the 21st Century
Open science will make science more efficient, reliable and responsive to societal challenges. The European Commission has sought to advance Open Science policy from its inception in a holistic and integrated way, covering all aspects of the research cycle from scientific discovery and review to sharing knowledge, publishing and outreach.
The Value of Preregistration for Psychological Science: A Conceptual Analysis
The question whether the practice of preregistration is valuable depends on your philosophy of science. Daniel Lakens provides a conceptual analysis of the value of preregistration for psychological science from an error statistical philosophy.
Early Coauthorship with Top Scientists Predicts Success in Academic Careers
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.
Mapping the Publishing Challenges for an Open Access University Press
Managing a New University Press (NUP) is often a one-person operation and, with limits on time and resources, efficiency and effectiveness are key to having a successful production process and providing a high level of author, editor and reader services. This article looks at the challenges faced by open access (OA) university presses throughout the publishing journey and considers ways in which these challenges can be addressed. In particular, the article focuses on six key stages throughout the lifecycle of an open access publication: commissioning; review; production; discoverability; marketing; analytics. Approached from the point of view of the University of Huddersfield Press, this article also draws on discussions and experiences of other NUPs from community-led forums and events. By highlighting the issues faced, and the potential solutions to them, this research recognises the need for a tailored and formalised production workflow within NUPs and also provides guidance how to begin implementing possible solutions.
The study of science itself is a growing field of research. Also known as meta-science or the science of science, it involves studying the processes and decisions that shape the evolution of scientific research. This collection of articles highlights the breadth of meta-research with articles on topics as diverse as gender bias in peer review, statistical power in clinical trials and the readability of the scientific literature.
Accelerating Scholarly Communication: The Transformative Role of Preprints
Study explores the place of preprints in the research lifecycle from the points of view of researchers, research performing organisations, research funding organisations and preprint servers/service providers.
Citizen Science and the United Nations Sustainable Development Goals
Data from conventional sources cannot fully measure progress towards the Sustainable Development Goals (SDGs). Here the authors present a roadmap describing how citizen-science data can integrate traditional data and make a significant contribution in support of the SDGs agenda.
Identifying Publications in Questionable Journals in the Context of Performance-based Research Funding
Study finds that the number of publications in open access journals rises every year, while the number of publications in questionable journals decreases from 2012 onwards. Both early career and more senior researchers publish in questionable journals.
Data Sharing at Scale: A Heuristic for Affirming Data Cultures
Addressing the most pressing contemporary social, environmental, and technological challenges will require integrating insights and sharing data across disciplines, geographies, and cultures. Strengthening international data sharing networks will not only demand advancing technical, legal, and logistical infrastructure for publishing data in open, accessible formats; it will also require recognizing, respecting, and learning to work across diverse data cultures. This essay introduces a heuristic for pursuing richer characterizations of the “data cultures” at play in international, interdisciplinary data sharing.
Worldwide Inequality in Access to Full Text Scientific Articles: the Example of Ophthalmology
The problem of access to medical information, particularly in low-income countries, has been under discussion for many years. Paywalls still limit access to approximately 75% of scholarly documents. This study compares the accessibility of recent full text articles in the field of ophthalmology in 27 established institutions located worldwide.
'Is the library open?': Correlating unaffiliated access to academic libraries with open access support
In the context of a growing international focus on open access publishing options and mandates, this paper explores the extent to which the ideals of ‘openness’ are also being applied to physical knowledge resources and research spaces.
Discussion Paper: New Indicators for Open Science and Open Innovation
Established indicators for research and innovation processes do not sufficiently capture the nuances of open science and open innovation. As a result, their opportunities and risks often remain obscure. A new discussion paper therefore makes proposals for the expansion of existing indicators and the development of new ones.
Based on the data collected for the 2019 Big Deals Survey Report, this publication aims to deliver additional transparency of the dynamics of the scholarly publishing market by providing insights and indicators on the costs, publication volumes and timelines of Big Deal contracts.
Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations
The U.S. health care system uses commercial algorithms to guide health decisions. Obermeyer et al. find evidence of racial bias in one widely used algorithm, such that Black patients assigned the same level of risk by the algorithm are sicker than White patients (see the Perspective by Benjamin). The authors estimated that this racial bias reduces the number of Black patients identified for extra care by more than half.
The State of Open Data 2019 report is the fourth in the series and includes survey results and a collection of articles from global industry experts.It is now the longest running longitudinal study on the subject, which was created in 2016 to examine attitudes and experiences of researchers working with open data - sharing it, reusing it, and redistributing it. This year's survey received a record number of survey participants with around 8,500 responses from the research community. While most trends are encouraging around the adoption and acceptance of open data, the research community is now demanding more enforcement of the mandates that have been adopted by many governments, funders, publishers and institutions around the world.The majority of researchers want funding withheld and penalties for a lack of data sharing.
Engaging Researchers with Data Management: The Cookbook
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.