Some possible discussion topics is data handling for DSS

OK, I'll kick this topic off on our new forum. (thanks Chris)

Here a couple of things to consider when handling data for data sonification software (DSS)

- When is  a flat file structure not enough?

- Having read it (.CSV's?) into memory, then it has to be parsed into

-Lists - Dictionaries - SQL dBs - Other external DB structure (b-trees ...

- Metataging - when to and when not to and what schemes?

- there might be an arg. for developing a common  XML

- Interprocess and/or trans-network data flow logistics incl. between different sw apps.

- Access to statistical processing - how does each of us do it? External tools, integrated?

- Develop a set of tests/benchmark targets towards which we can design.

(From a suggestion by Greg and Bruce towards an conf. demo/workshop)

- What things need addressing in dataflow of complex models, such as Tom H's, to make them more widely available?

- What links can be made between TaDa-like DBs and actual data.

- Data cleaning what tools/experiences? Can they be shared?

- An example data repository to which contributions can be made. (Extension of 2004 EEG experiments.

- Buffering for repeated playback

- Streaming audio vs direct to HD

That's a bit of a core dump on some data topics, 

Perhaps others would like to add their data-handling concerns/topics.

 

-drw (David Worrall)


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