Introducing
Your new presentation assistant.
Refine, enhance, and tailor your content, source relevant images, and edit visuals quicker than ever before.
Trending searches
Machine-readable data
2
Machine-readable data
How to improve the interoperability of research data (specifically for the Humanities)
Machine- readable
Presentation
versus
Human-readable
The difference
the computer is fine.... really
The problem
"readable", able to be read or deciphered, or able to be read easily
...
Machine-interpretable
"interpretable/explainable", able to be construed or understood in a particular way
The solution
key word is "structured"
machines (and humans) love structure
Machine-interpretable data
Inside the data
ontology
consistency
controlled vocabularies
https://fairsharing.org/standards/?q=humanities&selected_facets=expanded_onto_disciplines_exact:Humanities
Example
some random data
- step 1: terms and variables used common in research field
- step 2: consistency is key
- step 3: controlled vocabulary (including digital identifiers?)
- step 4: worth it?
Meta data : data describing your data
good practice to inform your readers about your variables, measurements, abbreviations, etc.
controlled vocabulary could help
Meta data
add as separate form in your spreadsheet file titled "metadata" or "save as" .CSV file and add to dataset