Data Science is a pretty broad subject and defining what is on topic or not seems quite hard. This difficult is reflected on our help-center that does not specify what is on topic but rather give few examples of on-topic questions.
I think we should make a community wide effort to define the "on-topic" on help-center. And we can go by this in different ways:
Democracy and Data Science
Could we implement a new temporary feature to vote the questions as on and off topic to avoid vote-downs for off-topic since it damages reputation and that is unfair given that this definition is a work in progress?
Could/Should we use this as an opportunity to create a NLP algorithm/dataset to decide if a question is or isn't on topic for DS SE?
Democracy by vote
- Can we create featured topic where we can propose definitions for on-topic and off-topic questions on meta and use the voting process to decide "on-topicity"? If so, answers to that topic should cover one and only one definition and should be made community wikis so they can be easily improved.