Managing open code and data

Why share model code and data?

There are many benefits to sharing model code and data in open access repositories. These benefits include helping to: demonstrate study reproducibility; improve model transparency; elicit feedback; identify errors; increase impact; and reduce duplication of effort across the mental health modelling field. However, there are also practical barriers to sharing model code and data in an appropriate manner. These barriers can include: concerns about data confidentiality and privacy; confusion about licensing; the need to identify appropriate storage and dissemination platforms; the time and effort required to prepare, document and curate content for public release; and lack of technical knowledge.

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Access data in the Australian Mental Health Systems Models Dataverse Collection.

1. Objectives On completion of this tutorial you should be able to: Understand basic concepts relating to the Australian Mental Health Systems Models Dataverse Collection; and Have the ability to search for, download and ingest files contained in Dataverse Datasets that are linked to by the Australian Mental Health Systems Models Dataverse Collection using two alternative approaches; Using a web based interface; and Using R commands. 2. Prerequisites You can complete most of this tutorial without any specialist skills or software other than having a web-browser connected to the Internet.

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