MAPS: Mapping the Analytical PathS of a Crowdsourced Data Analysis

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Description: Reproducibility project into analysing and visualising analytic flexibility. A collaboration between the Jean Golding Institute (JGI), Avon Longitudinal Study for Parents and Children (ALSPAC) and UK Reproducibility Network (UKRN).

License: CC-By Attribution 4.0 International

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This project attempts to conduct a crowdsourced data analysis (Silberzahn et al., 2018) of an anonymised dataset to determine the extent to which statistical results depends on the way in which they are computed. It has two phases. Phase 1: crowdsourced data analysis Each participating teams will analyse a dataset synthesised from the Avon Longitudinal Study of Parents and Children (ALSPAC) and ...

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Components

  • Protocol and synthesis

    Contain the MAPS protocol and documentation on how the synthetic dataset was created

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  • Materials for the crowdsourced data analysis

    Contains all the materials collaborators will need to carry out their analyses on the synthetic dataset

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  • MAPS Showcase Event - 18 Sep 2019

    Contains materials for the MAPS Showcase Event held in Bristol on 18 Sep 2019, 1.00 -5.30pm

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  • Ads and emails

    Example copies of emails sent to participants and adverts used for recruitment

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