1. T-TAP for climate data RDA P10 Montréal – September 2017
Tobias Weigel and Stephan Kindermann, DKRZ
- @resdatall
CC BY-SA 4.0

2. Type-Triggered Automated Processing (T-TAP)
How would it work (for climate)?
Ensure PIDs are attached to input/output/helpers
Describe our types
Bind services to types
Tune services to make use of typing information
Evaluate along practical cases -

3. Pathway for climate data processing services
Multiple upcoming angles for attaching a DT solution:
CMIP6 data
Handles, Handle records, potential PID Kernel Information profile
Same solution also spreading to other community projects (obs4mips, CORDEX)
Climate Analytics Service (ECAS) (DKRZ/CMCC)
server-side data processing with PID support
embedded into EOSChub, starting 2018
data sources: see above
Copernicus data services
Starting with a few, but clearly defined processing services (regridding, downscaling of CORDEX data)
Advantage: small, limited area; could do prototype and pre-production
Transfer PIDs and processing aspects iteratively into Copernicus data store -

4. https://rd-alliance.org/ - https://twitter.com/resdatall
Typing angles
a) Service typing
automated discovery or at least verification
b) Data input and output typing (coarse)
to distinguish the data sources and help with management
c) Typing of data internals (fine)
traditional DTR: enable machines to understand meaning of data -

5. Data processing workflow
Search & select
Define task
Preparation
Execution
Delivery
DTR
PID
ECAS
Coll.
...
One slicing through the C2CAMP space... -