Nanopublishing in Data Science
Papers at the Data Science journal should have their findings represented in a machine-understandable way as nanopublications.
Explore the different types below to publish your findings as candidate nanopublications. They can then be linked from your new submission or existing manuscript at the journal website.
Choose Nanopublication Type
These types work for simpler kinds of scientific statements:
- Simple Scientific Relations between Individuals (e.g. the invention of the telephone was necessary for the Internet)
- Simple Scientific Relations based on Classes (e.g. instances of smoking tend to cause instances of lung cancer)
If your statement is more complex, one of these general types might work:
- Fully-formal Advanced Statements (Super-Pattern) (e.g. whenever a person has a headache then this is mostly caused by a dehydration of that person)
- Semi-formal Statements Based on English Sentences (AIDA) (e.g. "Teenagers reply on average faster to emails than adults." is about: teenager, email, adult)
There are also these more specific types:
- Simple Biological Relations (e.g. the gene p53 interacts with the gene AIMP2)
- Evaluation Results from a Machine Learning experiment (e.g. we ran a Random Forest classifier to detect texts about animals and achieved an F-Score of 86%)
To use the types above, you might need to define a new class or individual:
- Class Definitions (e.g. operant research as a subclass of research)
- Definitions of Individuals (e.g. Pluto as an instance of the class dwarf planet)
If you can't find a type that works for your claims, tell us by opening a support ticket.
Your nanopublications included in accepted papers:
Don't hesitate to open a support ticket if you have any questions or problems, no matter how trivial or how complex.