white paper outline:

linguistic data sharing platform

1. use cases (outlining the general concern)
2. general principles of data modelling:
1. separate/independent layers of annotation
2. versioned
3. attribution
3. minimal feature set to attract critical mass
1. not the whole annotation pipeline!
4. flow of one use case
   

Slides

slide 1: the agony

looking for a mission statement
could there be a killer app?


slide 2: which part of the research process is suited best for a
killer app?

- data creation: very diverse and already somewhat supported.
- data sharing: yes
- data analysis: would be better off on top of shared data

=> go for the data sharing


slide 3: a platform for data sharing and publishing

While there are many tools and methods for both gathering and
analyzing data that are particular to the various subdisciplines,
sharing and publishing of data seems to be the more pressing
issue. The following describes the platform for such a platfrom.


slide 4: use cases

- the kwa lexicographer
- the squib
- big data without time to annotate
- tools in search of users