Re: [SED-ML-discuss] SED-ML reports

[Nicolas Le n. <le...@eb...>]

On 28/05/10 09:09, Dagmar Waltemath wrote:

> I agree... the only question I have is what do you mean by "labelling
> the vectors"?
> Could you give an example?

<listOfDatasets>
   <dataReference label="time" >dataGenerator1</dataReference>
   <dataReference label="X" >dataGenerator2</dataReference>
</listOfDatasets>

[btw listing 33 page 38 is wrong. Either we create an attribute 
"dataGeneratorReference or we put the id as text]

The way the tool uses this label, how it labels the vector, is none of our 
business.

>
> Cheers,
> Dagmar
>
>
> Nicolas Le novère wrote:
>> On 27/05/10 21:00, Frank T. Bergmann wrote:
>>
>>
>>> All I wanted was to produce reports that can be exchanged with other groups!
>>> For this there is not enough information there. If that is outside the scope
>>> of SED-ML so be it.
>>>
>>
>> Actually, I really believe it is outside the scope of SED-ML. And I also
>> believe this discussion is an example of many similar discussions that are
>> currently holding up the release.
>>
>> SED-ML is not for exchanging reports, but for exchanging *recipes* on how
>> to produce reports. By that, I mean that different tools should understand
>> SED-ML the same way. If SED-ML says which variables to export, the tools
>> should export the same variables. If SED-ML does not say anything about the
>> font or the color, then we do not care about those. The tools can produce
>> the same font or different font.
>>
>> Therefore, it is up to us to precise what we cover in SED-ML. But there is
>> arguably not a threshold below which there is not enough information to
>> interpret the report. Because SED-ML is not about the reports themselves.
>>
>> Now, producing reports that cannot be interpreted is not tremendously
>> useful. Currently, we only precise what to export and it is true that
>> without labelling the report vectors or ordering them, they are useless. I
>> am deeply against ordering, particularly for things like reports, so I
>> would favor labelling of vectors.
>>
>>
>
>
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Nicolas LE NOVERE, Computational Neurobiology, EMBL-EBI, Wellcome-Trust
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