The DataLad Handbook

Wagner, Adina; Waite, Laura K.; Meyer, Kyle; K., Heckner, Marisa; Kadelka, Tobias; Reuter, Niels; Waite, Alexander Q.; Poldrack, Benjamin; Markiewicz, Christopher J.; Halchenko, Yaroslav; Vavra, Peter; Chormai, Pattarawat; Poline, Jean‐Baptiste; Paas, Lya K.; Herholz, Peer; Mochalski, Lisa N.; Kraljevic, Nevena; Lisa, Wiersch,; Hutton, Alexandre; Hanke, Michael

doi:10.5281/zenodo.3608612

Cited by 4 publications

(3 citation statements)

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“…Corpus organization, processing, and preliminary analyses were done with ChildProject (Gautheron, Rochat, & Cristia, 2022). Additionally, transparency was ensured by publicly posting all of our materials (https://osf.io/t8r5j/?view_only=4e6f8a3b37f84da681b414bc058deca4, Anonymized, 2022), including code to reproduce results thanks to RMarkdown (Baumer & Udwin, 2015) on R (R Consortium Team, 2013), as well as DataLad (Wagner et al, 2020) and GIN (https://gin.g-node.org/).…”

Section: Analysesmentioning

confidence: 99%

Vocal input and output among infants in a multilingual context: Evidence from long‐form recordings in Vanuatu

Cristià

Gautheron

Colleran

2023

Developmental Science

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Section: Analysesmentioning

confidence: 99%

Vocal input and output among infants in a multilingual context: Evidence from long‐form recordings in Vanuatu

Cristià

Gautheron

Colleran

2023

Developmental Science

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Section: Analysesmentioning

confidence: 99%

Vocal input and output among infants in a multilingual context: Evidence from long-form recordings in Vanuatu

Cristià¹,

Gautheron²,

Colleran³

2023

Preprint

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What are the vocal experiences of children growing up on Malakula island, Vanuatu, where multilingualism is the norm? Long-form audio-recordings captured spontaneous speech behavior by, and around, 38 children (5-33 months, 23 girls) from 11 villages. Automated analyses revealed most children's vocal input came from female adults and other children’s voices, with small contributions from male adult voices. The greatest changes with age involved an increase in the input vocalizations from other children. Total input (collapsing across child-directed and overheard speech, and across languages) was ~11 minutes per hour, which was at least 5 minutes (31%) lower than that found in other populations studied using comparable methods in previous literature, as well as in archival American data analyzed with the same algorithm. In contrast, children's own vocalization counts were two to four times higher than previous reports for North-American English-learning monolingual infants at matched ages, and comparable to estimates from archival American data, consistent with a resilient language-learning cognitive system for this aspect of vocal development. The strongest association between input and output was with vocalizations by other children, rather than those by adults, which is consistent with research in anthropology but less so with current theoretical trends in developmental psychology. These results invite further research in populations that are under-represented in developmental science.

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“…This way, DataLad can keep track of how each intermediate file was generated, thus simplifying the reproducibility of analyses. DataLad's handbook provides a tutorial to create a fully reproducible paper (Wagner et al, 2020, Chapter 22), and a template is available on GitHub (Wagner, 2020). The present paper has been built upon this template, and its source code is available on GIN 22 .…”

Section: Dataladmentioning

confidence: 99%

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

Gautheron

Rochat

Cristià

2022

Lang Resources & Evaluation

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The technique of long-form recordings via wearables is gaining momentum in different fields of research, notably linguistics and neurology. This technique, however, poses several technical challenges, some of which are amplified by the peculiarities of the data, including their sensitivity and their volume. In this paper, we begin by outlining key problems related to the management, storage, and sharing of the corpora that emerge when using this technique. We continue by proposing a multi-component solution to these problems, specifically in the case of daylong recordings of children. As part of this solution, we release ChildProject, a Python package for performing the operations typically required by such datasets and for evaluating the reliability of annotations using a number of measures commonly used in speech processing and linguistics. This package builds upon an annotation management system, which allows the importation of annotations from a wide range of existing formats, as well as upon data validation procedures, which assert the conformity of the data, or, alternatively, produce detailed and explicit error reports. Our proposal could be generalized to populations other than children and beyond linguistics.

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The DataLad Handbook

Cited by 4 publications

References 0 publications

Vocal input and output among infants in a multilingual context: Evidence from long‐form recordings in Vanuatu

Vocal input and output among infants in a multilingual context: Evidence from long‐form recordings in Vanuatu

Vocal input and output among infants in a multilingual context: Evidence from long-form recordings in Vanuatu

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

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