Bernstein Network Computational Neuroscience
  • Home
  • Network
    • The Bernstein Network
    • Bernstein Centers
      • Berlin
      • Freiburg
      • Göttingen
      • Munich
      • Tübingen
      • Heidelberg-Mannheim
    • Research Infrastructure
      • High Performance Simulation and Data Analysis
      • Research Data Management
      • Science Communication
      • Scientific Coordination
    • Awards and Initiatives
      • Valentin Braitenberg Award
      • Brains for Brains Young Researcher Award
      • Bernstein SmartSteps
    • Committees
    • Statutes
    • Membership
    • History
    • Donation
    • Contact
  • Newsroom
    • Newsroom
    • News
    • Meet the Scientist
    • Events
    • Calls
    • Media Coverage
    • Press
    • Network Publications
    • Bernstein Bulletin
  • Teaching and Research
    • Teaching and Research
    • Find a Scientist
    • Degree Programs
      • Master Programs
      • PhD Programs
    • Study and Training
      • Bernstein Student Workshop Series 2023
      • Online Learning
      • Advanced Courses
      • Internships and Master theses
    • Mission Statement
  • Career
    • Career
    • Job Pool
    • Join our team
  • Bernstein Conference
    • Bernstein Conference
    • Program
      • Satellite Workshops
      • Valentin Braitenberg Award
      • Conference Dinner
    • Registration
    • Abstract Submission
    • Early Career Scientists
      • Postdoc Meeting
      • PhD Symposium
      • Travel grants
    • Exhibition
    • General Information
      • About the Bernstein Conference
      • Important dates & FAQ
      • PR Media Policy
      • Data Policy
      • Code of Conduct
  • DE
  • EN
  • Search
  • Menu Menu
You are here: Home1 / The Bernstein Network2 / Research Infrastructure3 / Research Data Management

Research data management in neuroscience

Availability and efficient management of research data is an important ingredient for reproducibility and scientific progress. In Computational Neuroscience, which links experimental neuroscience, theory and modeling, there is a particular need for reuse of research data. To facilitate sharing and reuse, research data should be handled according to established standards, and researchers need support to adopt best practices in research data management.

The Bernstein Network Computational Neuroscience has from its inception been fostering exchange of data and collaboration. As part of the Network, the German Neuroinformatics Node (G-Node) is providing tools and services supporting open science, collaboration, and training in data analysis, neuroinformatics, and research data management. It links the network to the international initiatives in the context of the International Neuroinformatics Coordinating Facility (INCF).

Recently, the FAIR principles have been proposed as guidelines for enhancing the value of research data and other digital resources. Furthermore, the importance of access to digital knowledge and management of data from publicly funded research has led to a national funding program – the National Research Data Infrastructure (NFDI) – to coordinate and develop research data management across the entire scientific landscape. In this context, the Bernstein Network is supporting a consortium initiative for neuroscience, NFDI Neuroscience (https://nfdi-neuro.de). NFDI Neuroscience is committed to organize and sustain cross-community research data management (RDM) in neuroscience. The initiative brings together data collectors, data users and technology providers to develop processes for data management in research with specific emphasis on neuroscience. The consortium works to build a community to develop the conceptual and practical basis of research data management for the neurosciences as part of the NFDI.

Contact

Prof. Dr. Thomas Wachtler

Biozentrum
Ludwig-Maximilians-Universität München
Großhaderner Straße 2
82152 Martinsried-Planegg
Germany

+49 89  2180-74810
wachtler@bio.lmu.de
Website

Bernstein Netzwerk Computational Neuroscience Logo

Become a member
Statutes
Donation
Subscribe to Newsletter

 

Follow us on

Mastodon
© 2023 Bernstein Network Computational Neuroscience
  • Contact
  • Imprint
  • Privacy Policy
Scroll to top
Cookie-Zustimmung verwalten
We use cookies to optimize our website and our service.
Functional Always active
Der Zugriff oder die technische Speicherung ist unbedingt für den rechtmäßigen Zweck erforderlich, um die Nutzung eines bestimmten Dienstes zu ermöglichen, der vom Abonnenten oder Nutzer ausdrücklich angefordert wurde, oder für den alleinigen Zweck der Übertragung einer Nachricht über ein elektronisches Kommunikationsnetz.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
Die technische Speicherung oder der Zugriff, der ausschließlich zu statistischen Zwecken erfolgt. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
Die technische Speicherung oder der Zugriff ist erforderlich, um Nutzerprofile zu erstellen, um Werbung zu versenden oder um den Nutzer auf einer Website oder über mehrere Websites hinweg zu ähnlichen Marketingzwecken zu verfolgen.
Manage options Manage services Manage vendors Read more about these purposes
Settings
{title} {title} {title}