Data Licensing and Archiving

Annika Rockenberger

annika.rockenberger@ub.uio.no

Licenses

CC Licenses

Using a licenses helps you achieve FAIR, especially in regards to R - Reusability by optimising the reuse of data

Why a License?

• Makes data available to the widest audience possible
• Makes the widest range of uses possible

CC Licenses for Data

• ease of use of the licences
   
• widespread adoption of the licences
   
• flexibility
   
• availability in human-readable and machine-readable forms allowing both researchers and computers to immediately know what they are allowed to do with your data
   
• chance that your data are reused

CC0 - releases data into public domain

Useful Tips for Choosing a License

• Be sure who owns the data
• Remember you can only archive and publish data you own (or if you have permission).
• Use a tool like the licence selector

Title Text

Human-readable metadata: the README file

A template for writing a
README file

• go to Cornell RDM service group website, download template
   
• .txt file can be opened with any word processing software (MS Word, LibreOffice, GoogleDocs) or any plain text editor (Notepad++, Texteditor, Atom, Sublime, Emacs)
   
• keep it plain text! it’s an incredibly durable format

Examples of other metadata?

• EAD (for archival and manuscript repositories)
   
• TEI (for digital scholarly editions / rich transcriptions)

Choosing a repository for data

How to choose a repository

1. Is the data repository reputable?
    
2. Will the repository take the data you want to deposit?
    
3. Will the data be safe in legal terms?
    
4. Will the archive sustain the value of the data?
    
5. Will the archive support analysis and track data usage?