Academy course

Research data management & open data

Data management plans, cleaning messy data, FAIR metadata and depositing in a citable repository.

Foundational · 3 weeksAny researcher who collects primary data.Foundational · 3 weeksIncluded with your planSciExpert Academy faculty

What this is

Everything between collection and publication: how to structure, clean, document and deposit data so it is findable, reusable and citable.

What you will be able to do

• Write a data management plan funders accept
• Clean and standardise messy datasets reproducibly
• Write FAIR metadata and a data dictionary
• Deposit in Dryad, Zenodo or an institutional repository with a DOI

Workspace services used

Every module is practised inside services you already have in your account.

Data Curation & Repositories Pre-Registration Registry Electronic Lab Notebook

Start in workspace — Data Curation & Repositories

Syllabus

1. Plan
DMPs, storage, sensitive data, consent for sharing.
2. Clean
Profiling, faceting, clustering and transforms on real messy data.
3. Describe
Data dictionaries, README files, licences, FAIR principles.
4. Deposit
Choosing a repository, versioning, citing your own data.

Join the next intake

Cohorts open on a rolling basis and places are limited so feedback stays personal. Create an account to reserve a place, or write to us with your topic and timeline.

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