Tutorials

Step-by-step guidelines, examples and code to facilitate FAIRer data curation

A series of practical tutorials for managing Open Research Data and adhere as much as possible to the FAIR principles. Our tutorials provide guidelines, step-by-step instructions, examples and code to facilitate the following components of data curation.

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The dendrogram below shows a content summary. Use the left side bar to go to the different tutorials or scroll down and use the table below.

TutorialsDocumentation and MetadataSharing and publishingHuman ReadableStructuredVersion ControlData indexingPersistent identifiersFile and folder namingProceduresREADMETablesJSON (sidecar files)Git (Gitlab)A workflow with Gitlab and R DT
Title Subtitle
Gitlab Tutorial 1. Step-by-Step Guide to Git and Gitlab Using a UZH Gitlab repository for project owners and collaborators
Gitlab Tutorial 2. Create and Update a Data Index A workflow to use Gitlab pages as an open data Index
Gitlab Tutorial 3. Continuous Integration (CI) Additional details on basic customization of CI pipelines
Gitlab workflows Showcasing different scenarios
Metadata: making JSON files In this use case we read the JSON fields from a table and create JSON files with generic and file-specific information
Metadata: tables General tips on making better human and machine-readable tabular metadata
Website Tutorial using R, Quarto and Gitlab Pages Share data, code and dynamic reports in an easy-to-build website
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