Open Data and Materials

 

Data management plans as linked open data: exploiting ARGOS FAIR and machine actionable outputs in the OpenAIRE research graph

Background Open Science Graphs (OSGs) are scientific knowledge graphs representing different entities of the research lifecycle (e.g. projects, people, research outcomes, institutions) and the relationships among them. They present a contextualized …

Data sharing practices in collaborative human genomic research in low- and middle-income countries: A systematic review protocol

Introduction The practice of creating large databases has become increasingly common by combining research participants’ data into larger repositories. Funders now require that data sharing be considered in newly funded research project, unless there …

Platform-controlled social media APIs threaten open science

Social media data enable insights into human behaviour. Researchers can access these data via platform-provided application programming interfaces (APIs), but these come with restrictive usage terms that mean studies cannot be reproduced or …

RPM: An open-source Rotation Platform for open- and closed-loop vestibular stimulation in head-fixed Mice

Head fixation allows the recording and presentation of controlled stimuli and is used to study neural processes underlying spatial navigation. However, it disrupts the head direction system because of the lack of vestibular stimulation. To overcome …

Last Contact: A Science Adventure

Last Contact is a game is a game that is intended to inform people about the open science movement. In the game players encounter common problems of current scientific practice in form of a parody science fiction scenario. The problems that players …

Open Science Practices Need Substantial Improvement in Prognostic Model Studies in Oncology Using Machine Learning

Objective: To describe the frequency of open science practices in a contemporary sample of studies developing prognostic models using machine-learning methods in the field of oncology. Study design and setting: We conducted a systematic review, …

A step-by-step guide on preregistration and effective data sharing for psychopathology research

Data analysis in psychopathology research typically entails multiple stages of data preprocessing (e.g., coding of physiological measures), statistical decisions (e.g., inclusion of covariates), and reporting (e.g., selecting which variables best …

Adapting open science and pre-registration to longitudinal research

Open science practices, such as pre-registration and data sharing, increase transparency and may improve the replicability of developmental science. However, developmental science has lagged behind other fields in implementing open science practices. …

Data overuse in aging research: Emerging issues and potential solutions

Aging and lifespan development researchers have been fortunate to have public access to many longitudinal datasets. These data are valuable and see high utilization, yet this has a considerable downside. Many of these are heavily overused. Overuse of …

Habits and perceptions regarding open science by researchers from Spanish institutions

The article describes the results of the online survey on open science (OS) carried out on researchers affiliated with universities and Spanish research centres and focused on open access to scientific publications, the publication process, the …
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