network_validation/datacite.yml

# Required fields
# The main researchers involved working on the resource,
# or the authors of the publication in priority order.
# May be a corporate/institutional or personal name.
# Include digital identifier (e.g., ORCID) if possible
authors:
  -
    firstname: "Robin"
    lastname: "Gutzen"
    affiliation: "Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany"
  -
    firstname: "Michael"
    lastname: "von Papen"
    affiliation: "Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany"
  -
    firstname: "Guido"
    lastname: "Trensch"
    affiliation: "Simulation Lab Neuroscience, Jülich Supercomputing Centre (JSC), Institute for Advanced Simulation, JARA, Jülich Research Centre, Jülich, Germany"
  -
    firstname: "Pietro"
    lastname: "Quaglio"
    affiliation: "Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany"
    id: "0000-0002-8012-3056"
  -
    firstname: "Sonja"
    lastname: "Grün"
    affiliation: "Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany; Theoretical Systems Neurobiology, RWTH Aachen University, Aachen, Germany"
    id: "0000-0003-2829-2220"
  -
    firstname: "Michael"
    lastname: "Denker"
    affiliation: "Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany"
    id: "0000-0003-1255-7300"

# A name or title to describe the published resource.
title: "Resources for the article 'Reproducible neural network simulations: statistical methods for model validation on the level of network activity data'"

# Any additional information. It is best practice to supply a description for the resource.
description: |
  This repository hosts code and data to reproduce the findings of the article 'Reproducible neural network simulations: statistical methods for model validation on the level of network activity data'. In addition, the repository hosts an additional example for the use of the tool "NetworkUnit".

# List of keywords the resource should be associated with.
keywords:
  - Neuroscience
  - Electrophysiology
  - Validation
  - Brain Simulation
  - Spikes
  - Data Analysis

# Any rights information for this resource. Please provide both a license name and a link to the license.
# Please add also a LICENSE file to the repository
license:
  name: "BSD-3-Clause"
  url: "https://opensource.org/licenses/BSD-3-Clause"

## Optional Fields

# Any funding reference for this resource. Separate funder name and grant number by comma
funding:
  - "Helmholtz, ZT-I-0003"
  - "EU, EU.720270"
  - "EU, EU.785907"

# Related publications. reftype might be: IsCitedBy, IsSupplementTo, IsReferencedBy, IsPartOf
# for further valid types see https://schema.datacite.org/meta/kernel-4
# Please provide digital identifier (e.g., DOI) if possible.
references:
  -
    #doi: "10.xxx/zzzz"
    reftype: "IsSupplementTo"
    name: "Gutzen et al. Reproducible neural network simulations: statistical methods for model validation on the level of network activity data."
  -
    reftype: "IsDocumentedBy"
    name: "Trensch et al. Rigorous neural network simulations: a model substantiation methodology for increasing the correctness of simulation results in the absence of experimental validation data"


# Type of the data in this repository (Dataset, Model, Software, Other see
# https://schema.datacite.org/meta/kernel-4.1/doc/DataCite-MetadataKernel_v4.1.pdf
# for examples
dtype: 
  - Dataset
  - Software