managing-storing-sharing-paper/datacite.yml

# Metadata for DOI registration according to DataCite Metadata Schema 4.1.
# For detailed schema description see https://doi.org/10.5438/0014

## Required fields

# The main researchers involved. Include digital identifier (e.g., ORCID)
# if possible, including the prefix to indicate its type.
authors:
  -
    firstname: "Lucas"
    lastname: "Gautheron"
    affiliation: "Laboratoire de Sciences Cognitives et Psycholinguistique"
    id: "ORCID:0000-0002-3776-3373"
  -
    firstname: "Nicolas"
    lastname: "Rochat"
  -
    firstname: "Alejandrina"
    lastname: "Cristia"
    affiliation: "Laboratoire de Sciences Cognitives et Psycholinguistique"
    id: "ORCID:0000-0003-2979-4556"

# A title to describe the published resource.
title: "Reproducible analyses of daylong recordings"

# Additional information about the resource, e.g., a brief abstract.
description: |
  This dataset contains the source and the data used to generate
  the paper "Managing, storing, and sharing long-form recordings and their annotations"
  from the same authors.

# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - linguistics
  - daylong recordings
  - speech data management
  - annotations evaluation
  - reproducible research

# License information for this resource. Please provide the license name and/or a link to the license.
# Please add also a corresponding LICENSE file to the repository.
license:
  name: "Creative Commons CC0 1.0 Public Domain Dedication"
  url: "https://creativecommons.org/publicdomain/zero/1.0/"


## Optional Fields

# Funding information for this resource.
# Separate funder name and grant number by comma.
funding:
  - "ANR, 17-CE28-0007 LangAge"
  - "ANR, 16-DATA-0004 ACLEW"
  - "ANR, 14-CE30-0003 MechELex"
  - "ANR, 17-EURE-0017"
  - "NSF, ACI-1445606"
  - "GENCI-IDRIS, A0071011046"

# Related publications. reftype might be: IsSupplementTo, IsDescribedBy, IsReferencedBy.
# Please provide digital identifier (e.g., DOI) if possible.
# Add a prefix to the ID, separated by a colon, to indicate the source.
# Supported sources are: DOI, arXiv, PMID
# In the citation field, please provide the full reference, including title, authors, journal etc.
references:
  -
    id: "doi:10.31234/osf.io/w8trm"
    reftype: "IsSupplementTo"
    citation: "Managing, storing, and sharing long-form recordings and their annotations"


# Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text.
resourcetype: Dataset

# Do not edit or remove the following line
templateversion: 1.2