Topic: open science

It is now widely accepted that openness and transparency are keys to improving the reproducibility of scientific research, but many challenges remain to adoption of these practices. I will discuss the growth of an ecosystem for open science within the field of neuroimaging, focusing on platforms for open data sharing and open source tools for reproducible data analysis. I will also discuss the role of the Brain Imaging Data Structure (BIDS), a community standard for data organization, in enabling this open science ecosystem, and will outline the scientific impacts of these resources.

Cognitive neuroscience has witnessed great progress since modern neuroimaging embraced an open science framework, with the adoption of shared principles (Wilkinson et al., 2016), standards (Gorgolewski et al., 2016), and ontologies (Poldrack et al., 2011), as well as practices of meta-analysis (Yarkoni et al., 2011; Dockès et al., 2020) and data sharing (Gorgolewski et al., 2015). However, while functional neuroimaging data provide correlational maps between cognitive functions and activated brain regions, its usefulness in determining causal link between specific brain regions and given behav

The INCF TrainingSuite is a collection of three open access platforms that aims to facilitate self-guided study in different sub-specialisms of neuroscience, data science, and open science. These platforms, presented below, form a framework for integrating training materials and making them FAIR: Findable, Accessible, Interoperable, and Reusable. INCF TrainingSpace (training.incf.org) is an online hub for making neuroscience educational materials across the sub-specialisms of neuroscience more accessible to the global community. It provides users with access to: multimedia educational conten

Public preprinting is arguably the strongest form of open science. As a natural extension of that caring and sharing, we seek to enhance and validate preprints by free and transparent researcher-community-based peer-review. That is why we started Peer Community in Neuroscience (PCI Neuro), one of the thematic PCIs in the framework of the Peer Community in (PCI) open-science initiative, a non-profit non-commercial scientific organization. PCIs conduct free and transparent peer-review of preprints on an author-initiated basis. At this presentation we will discuss preprint peer-review through g

In recent years, more and more evidence has accumulated showing that many studies in psychological research cannot be replicated, effects are often overestimated, and little is publicly known about unsuccessful studies. What are the mechanisms behind this crisis? In this talk, I will explain how we got there and why it is still difficult to break free from the current system. I will further explain which role Open Science plays within the replication crisis and how it can help to improve science. This might sound like a pessimistic, negative talk, but I will end it on a positive note, I promis

Case-control comparisons are a gold standard method for diagnosing and researching neuropsychological deficits and dissociations at the single-case level. These statistical tests, developed by John Crawford and collaborators, provide quantitative criteria for the classical concepts of deficit, dissociation and double-dissociation. Much attention has been given to the control of Type I (false positive) errors for these tests, but far less to the avoidance of Type II (false negative) errors; that is, to statistical power. I will describe the origins and limits of statistical power for case-contr

Every day when we fall asleep we lose consciousness, we are not there. And then, every morning, when we wake up, we regain it. What mechanisms give rise to consciousness, and how can we explain consciousness in the realm of the physical world of atoms and matter? For centuries, philosophers and scientists have aimed to crack this mystery. Much progress has been made in the past decades to understand how consciousness is instantiated in the brain, yet critical questions remain: can we develop a consciousness meter? Are computers conscious? What about other animals and babies? We have embarked i

The Open Science movement advocates for more transparent, equitable and reliable science. It focusses on improving existing infrastructures and spans all aspects of the scientific process, from implementing systems that reward pre-registering studies and guarantee their publication, all the way to making research data citable and freely available. In this context, open source tools (and the development ethos supporting them) are becoming more and more present in academic labs, as researchers are realizing that they can improve the quality of their work, while cutting costs. In this talk an ove

Advances in neuroscience depend on diverse perspectives and inter- and transdisciplinary collaboration. However, persistent barriers to equitable representation of underrepresented groups at advanced stages of their careers pose a significant challenge. This systemic problem not only reduces the talent pool, but also has high costs for individuals, research and society. Addressing these challenges requires a concerted effort by different stakeholders, such as universities and research institutions, as well as funding bodies. To promote a more inclusive, equitable and diverse scientific landsca

The diversity in data types and formats produced by neuroscience research presents a significant challenge to open science initiatives. As a solution, the digital research infrastructure, EBRAINS, offers a suite of integrative services to share, discover, and process neuroscience data with state-of-the-art computing systems. EBRAINS promotes open science together with responsible research and innovation practices to ensure a holistic understanding of neuroscience. At its core, the EBRAINS Data & Knowledge Service offers a centralized data management system with standardized metadata and a

The shift towards open science enables the exploration of an increasing variety of neuroscience datasets. The diversity of data formats, ways to organize and describe data, however, pose a significant challenge for reproducing and reusing scientific outputs. To address this, we developed an efficient data curation workflow for sharing FAIR and integrated neuroscience data. This workflow is well documented and continuously refined to meet researchers' needs.The aim of the data curation process is to build the best possible metadata representation of the data for discoverability and reuse. Accor