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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

README.md

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

Introduction

Reproducing the paper

Update the pre-print on OSF