scholarly journals The Neurodata Without Borders ecosystem for neurophysiological data science

2021 ◽  
Author(s):  
Oliver Ruebel ◽  
Andrew J. Tritt ◽  
Ryan Ly ◽  
Benjamin K. Dichter ◽  
Satrajit S Ghosh ◽  
...  
Keyword(s):  
Data Management ◽  
Data Science ◽  
Design Principles ◽  
Standard Language ◽  
Design And Implementation ◽  
Neurophysiological Data ◽  
The Brain ◽  
Unified Description

The neurophysiology of cells and tissues are monitored electrophysiologically and optically in diverse experiments and species, ranging from flies to humans. Understanding the brain requires integration of data across this diversity, and thus these data must be findable, accessible, interoperable, and reusable (FAIR). This requires a standard language for data and metadata that can coevolve with neuroscience. We describe design and implementation principles for a language for neurophysiology data. Our software (Neurodata Without Borders, NWB) defines and modularizes the interdependent, yet separable, components of a data language. We demonstrate NWB's impact through unified description of neurophysiology data across diverse modalities and species. NWB exists in an ecosystem which includes data management, analysis, visualization, and archive tools. Thus, the NWB data language enables reproduction, interchange, and reuse of diverse neurophysiology data. More broadly, the design principles of NWB are generally applicable to enhance discovery across biology through data FAIRness.

Development of Reading Remediation for Dyslexic Individuals

2016 ◽  
Vol 224 (4) ◽  
pp. 240-246 ◽  
Author(s):  
Mélanie Bédard ◽  
Line Laplante ◽  
Julien Mercier
Keyword(s):  
20Th Century ◽  
Scientific Literature ◽  
Behavioral Data ◽  
Educational Neuroscience ◽  
Reading Remediation ◽  
Functional Brain ◽  
Neurophysiological Data ◽  
Brain Correlates ◽  
Research Questions ◽  
The Brain

Abstract. Dyslexia is a phenomenon for which the brain correlates have been studied since the beginning of the 20th century. Simultaneously, the field of education has also been studying dyslexia and its remediation, mainly through behavioral data. The last two decades have seen a growing interest in integrating neuroscience and education. This article provides a quick overview of pertinent scientific literature involving neurophysiological data on functional brain differences in dyslexia and discusses their very limited influence on the development of reading remediation for dyslexic individuals. Nevertheless, it appears that if certain conditions are met – related to the key elements of educational neuroscience and to the nature of the research questions – conceivable benefits can be expected from the integration of neurophysiological data with educational research. When neurophysiological data can be employed to overcome the limits of using behavioral data alone, researchers can both unravel phenomenon otherwise impossible to document and raise new questions.

Reproducibility and efficiency in handling complex neurophysiological data

Neuroforum ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Michael Denker ◽  
Sonja Grün ◽  
Thomas Wachtler ◽  
Hansjörg Scherberger
Keyword(s):  
Best Practices ◽  
Data Management ◽  
Data Integrity ◽  
Behavioral Neuroscience ◽  
Data Set ◽  
Data Publication ◽  
Electrophysiological Data ◽  
Data Formats ◽  
Neurophysiological Data ◽  
Community Effort

Abstract Preparing a neurophysiological data set with the aim of sharing and publishing is hard. Many of the available tools and services to provide a smooth workflow for data publication are still in their maturing stages and not well integrated. Also, best practices and concrete examples of how to create a rigorous and complete package of an electrophysiology experiment are still lacking. Given the heterogeneity of the field, such unifying guidelines and processes can only be formulated together as a community effort. One of the goals of the NFDI-Neuro consortium initiative is to build such a community for systems and behavioral neuroscience. NFDI-Neuro aims to address the needs of the community to make data management easier and to tackle these challenges in collaboration with various international initiatives (e.g., INCF, EBRAINS). This will give scientists the opportunity to spend more time analyzing the wealth of electrophysiological data they leverage, rather than dealing with data formats and data integrity.

scholarly journals Bringing the World to the Classroom: Teaching Statistics and Programming in a Project-Based Setting

2021 ◽  
pp. 1-5
Author(s):  
Cosima Meyer
Keyword(s):  
Data Management ◽  
Data Science ◽  
Classroom Teaching ◽  
Statistical Software ◽  
Inverted Classroom ◽  
Typical Data ◽  
The World ◽  
Virtual Classes ◽  
Teaching Statistics ◽  
Introductory Class

ABSTRACT This article introduces how to teach an interactive, one-semester-long statistics and programming class. The setting also can be applied to shorter and longer classes as well as introductory and advanced courses. I propose a project-based seminar that also encompasses elements of an inverted classroom. As a result of this combination, the seminar supports students’ learning progress and also creates engaging virtual classes. To demonstrate how to apply a project-based seminar setting to teaching statistics and programming classes, I use an introductory class to data wrangling and management with the statistical software program R. Students are guided through a typical data science workflow that requires data management and data wrangling and concludes with visualizing and presenting first research results during a simulated mini-conference.

scholarly journals NFDI4Chem - Towards a National Research Data Infrastructure for Chemistry in Germany

2020 ◽  
Vol 6 ◽  
Author(s):  
Christoph Steinbeck ◽  
Oliver Koepler ◽  
Felix Bach ◽  
Sonja Herres-Pawlis ◽  
Nicole Jung ◽  
...  
Keyword(s):  
Data Management ◽  
Data Science ◽  
Open Data ◽  
Research Data ◽  
Data Standards ◽  
Data Repositories ◽  
Data Infrastructure ◽  
Research Data Management ◽  
Wide Range ◽  
Chemistry Community

The vision of NFDI4Chem is the digitalisation of all key steps in chemical research to support scientists in their efforts to collect, store, process, analyse, disclose and re-use research data. Measures to promote Open Science and Research Data Management (RDM) in agreement with the FAIR data principles are fundamental aims of NFDI4Chem to serve the chemistry community with a holistic concept for access to research data. To this end, the overarching objective is the development and maintenance of a national research data infrastructure for the research domain of chemistry in Germany, and to enable innovative and easy to use services and novel scientific approaches based on re-use of research data. NFDI4Chem intends to represent all disciplines of chemistry in academia. We aim to collaborate closely with thematically related consortia. In the initial phase, NFDI4Chem focuses on data related to molecules and reactions including data for their experimental and theoretical characterisation. This overarching goal is achieved by working towards a number of key objectives: Key Objective 1: Establish a virtual environment of federated repositories for storing, disclosing, searching and re-using research data across distributed data sources. Connect existing data repositories and, based on a requirements analysis, establish domain-specific research data repositories for the national research community, and link them to international repositories. Key Objective 2: Initiate international community processes to establish minimum information (MI) standards for data and machine-readable metadata as well as open data standards in key areas of chemistry. Identify and recommend open data standards in key areas of chemistry, in order to support the FAIR principles for research data. Finally, develop standards, if there is a lack. Key Objective 3: Foster cultural and digital change towards Smart Laboratory Environments by promoting the use of digital tools in all stages of research and promote subsequent Research Data Management (RDM) at all levels of academia, beginning in undergraduate studies curricula. Key Objective 4: Engage with the chemistry community in Germany through a wide range of measures to create awareness for and foster the adoption of FAIR data management. Initiate processes to integrate RDM and data science into curricula. Offer a wide range of training opportunities for researchers. Key Objective 5: Explore synergies with other consortia and promote cross-cutting development within the NFDI. Key Objective 6: Provide a legally reliable framework of policies and guidelines for FAIR and open RDM.

scholarly journals A neuroscientific grasp of concepts: from control to representation

2003 ◽  
Vol 358 (1435) ◽  
pp. 1231-1240 ◽  
Author(s):  
Vittorio Gallese
Keyword(s):  
Conceptual Knowledge ◽  
Outer Space ◽  
Cognitive Activity ◽  
Semantic Content ◽  
Macaque Monkey ◽  
Conceptual Representations ◽  
Neurophysiological Data ◽  
Neural Underpinnings ◽  
Crucial Part ◽  
The Brain

Abstraction denotes the cognitive process by means of which general concepts are formed. The dominant view of abstraction considers it not only as a complex and sophisticated cognitive activity, but also as a distinctive hallmark of mankind. The distinctiveness of abstract thought has indeed been closely related to another feature peculiar to our species: language. Following this perspective, the possibility to entertain conceptual representations is thus precluded to animals devoid of full–blown language. I challenge this view and propose that the representational dynamic of the brain is conceivable as a type of self–organization, in which action plays a crucial part. My aim will be to investigate whether, and to what extent, conceptual knowledge can be attributed to non–linguistic animal species, with particular emphasis on nonhuman primates. I therefore introduce the notion of semantic content as a type of ‘relational specification’. A review of recent neurophysiological data on the neural underpinnings of action end–states in the macaque monkey brain is presented. On the basis of this evidence, I propose that conceptual representations can be conceived as the expression of a coherent internal world model. This model decomposes the ‘outer’ space inhabited by things in a meaningful way only to the extent that it accords to biologically constrained, embodied invariance. Finally, I discuss how the ‘comparative’ neuroscientific approach to abstraction proposed here may shed some light on its nature and its evolutionary origin.

A First Course in Statistical Programming with R

2021 ◽  
Author(s):  
W. John Braun ◽  
Duncan J. Murdoch
Keyword(s):  
Data Science ◽  
Worked Examples ◽  
Design Principles ◽  
Complex Projects ◽  
Statistical Programming ◽  
Programming Skills ◽  
Downloadable Code ◽  
Metropolis Hastings Algorithms

This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box–Muller and Metropolis–Hastings algorithms. New examples and exercises have been added throughout. This is the only introduction you'll need to start programming in R, the computing standard for analyzing data. This book comes with real R code that teaches the standards of the language. Unlike other introductory books on the R system, this book emphasizes portable programming skills that apply to most computing languages and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from www.statprogr.science. Worked examples - from real applications - hundreds of exercises, and downloadable code, datasets, and solutions make a complete package for anyone working in or learning practical data science.

The Gamut of E-Government Research, Design, and Implementation

2015 ◽  
pp. 1-20
Author(s):  
Kelvin Joseph Bwalya ◽  
Stephen M. Mutula
Keyword(s):  
Information Management ◽  
Mobile Devices ◽  
Research Design ◽  
Design Principles ◽  
Research And Practice ◽  
Design And Implementation ◽  
Government Project ◽  
Government Research ◽  
Contemporary Technology ◽  
Key Questions

E-Government research and practice has changed over the years to incorporate recent and contemporary technology developments and unique in evolving contextual environments. Further, the emerging conceptualization of service and applications interactions is slowly defining the gamut of e-Government research and practice. On another front, there has been a dynamic transition of e-Government being implemented on Web3.0 from the original Web2.0 platforms and advanced e-Government applications accessible on mobile devices i.e. ubiquitous or mobile government. Web3.0 presents a semantic platform allowing responsive man-machine interfaces and applications integration facilitating advanced information management possibilities. The chapter explores the contemporary issues in e-Government and articulates the pertinent factors that need to be interrogated for successful and sustainable e-Government development. Key questions of e-Government and the design principles that need to be taken into consideration in any e-Government project are explored.

The Design and Implementation of Documentation Projects for Spoken Languages

2018 ◽  
pp. 146-167 ◽  
Author(s):  
Shobhana Chelliah
Keyword(s):  
Data Management ◽  
Planning Process ◽  
Institutional Support ◽  
Community Member ◽  
Language Documentation ◽  
Design And Implementation

The goal of this chapter is to provide a blueprint for planning a language documentation project. The scope is limited to the documentation of languages with average vitality but the chapter has relevance to other levels of endangerment as well. Language documentation is improved by key partnerships. By seeking out a supportive network of similarly motivated researchers, the language documenter can learn how to sequence and budget for documentation activities and how to plan workflow and data management so that dissemination and archiving goals are met. Implementing a documentation project as a lone academic or community member is possible, but having partners with complementary expertise can lead to the best results. Creating such teams requires funding and infrastructure so seeking out financial and institutional support is also part of the planning process for a documentation project.

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