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Where should I park my data?
Knowing where to park your data is important. Generic options are:
- A flash drive
- A shared lab computer
- A department folder
- An institutional repository
- A repository for your discipline
- An open source repository
- A paid repository
You and others need to be able to find and interpret your data.
- Data set clearly labeled
- Data clearly defined
- Accurate and consistent metadata such as name, date, lab, procedure, value definitions
Repositories for storing your data
The Dataverse Project: The Dataverse Project
- Good for social sciences and the humanities
- Open source
- 2 GB limit unless you configure for more in the installation (see Google group post)
- The pros and cons: This is a 2013 review. Things might have changed.
Norwegian Centre for Research Data: NESSTAR
- A software system for publishing data on the web
SDA: Survey docuentation and analysis : SDA
Science Commons: science commons
- A project of Creative Commons
- For science data
- Created the NeuroCommons for computational biology, neuroscience and neuromedicine
Zenodo : Zenodo
- Open repository for all research outputs
- Powered by Invenio v3 state of the art digital repository
- 50 GB limit per dataset!
- Launched by CERN and OpenAIRE in 2016
- Github integration (code-hosting repository service enabling version control for collaborative software development)
Other useful links: