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README.md

Managing, storing and sharing long-form recordings and their annotations

Introduction

This repository contains the source of the paper "Managing, storing and sharing long-form recordings and their annotations" by Lucas Gautheron et al.

It demonstrates how the use of DataLad combined with the ChildProject package helps design reproducible research on day-long recordings of children.

This repository has been built upon the Automatically Reproducible Paper Template by Adina Wagner.

Reproducing the paper

Before anything, make sure you have installed DataLad (see here for instructions) and latexmk.

  • Install the repository with DataLad:
datalad install -r git@gin.g-node.org:/LAAC-LSCP/managing-storing-sharing-paper.git
cd managing-storing-sharing-paper
  • Install dependencies
pip install -r requirements.txt
  • Cleanup generated files
make clean
  • Trigger the build
make main.pdf

Update the pre-print on OSF

git-annex export HEAD --to osf-storage
datacite.yml
Title Reproducible analyses of daylong recordings
Authors Gautheron,Lucas;Laboratoire de Sciences Cognitives et Psycholinguistique;ORCID:0000-0002-3776-3373
Rochat,Nicolas
Cristia,Alejandrina;Laboratoire de Sciences Cognitives et Psycholinguistique;ORCID:0000-0003-2979-4556
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.
License Creative Commons CC0 1.0 Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/)
References Managing, storing, and sharing long-form recordings and their annotations [doi:10.31234/osf.io/w8trm] (IsSupplementTo)
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
Keywords linguistics
daylong recordings
speech data management
annotations evaluation
reproducible research
Resource Type Dataset