... | @@ -158,6 +158,8 @@ Pipeline scripts are used to produce CC signatures, models and analyses. These s |
... | @@ -158,6 +158,8 @@ Pipeline scripts are used to produce CC signatures, models and analyses. These s |
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### Dataset addition
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### Dataset addition
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Adding and updating datasets is the most important and computationally intensive part of the repository. In consequence, I anticipate that this part of the pipeline will be in constant evolution.
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#### Six-month pipeline
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#### Six-month pipeline
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![6-month-pipeline.svg](/uploads/04a4dcb2ad2956cf4accbb0562b7fd38/6-month-pipeline.svg)
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![6-month-pipeline.svg](/uploads/04a4dcb2ad2956cf4accbb0562b7fd38/6-month-pipeline.svg)
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... | @@ -284,16 +286,10 @@ Please beware that, for simplicity, here I have omitted processes that are relev |
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#### Sporadic datasets
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#### Sporadic datasets
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Here again, linear views of the pipeline would be the following. The explanation is more succinct since many details were already given [above](#six-month-pipeline).
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Whenever, during a research project, we want to introduce a new dataset to the CC resource, we can follow this reasoning:
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0. Write scripts to process data (cannot be automatized, as this is specific for dataset)
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![cc_pipelines-new-dataset.svg](/uploads/4b95d9f973bf32f031dad02f01444b75/cc_pipelines-new-dataset.svg)
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* If the dataset is of a new type,
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*
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*
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* Also, fill in the [PostGreSQL table](#database) with the fields .
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1. Download or calculate accordingly
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*
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2. Process
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Note that, necessarily, adding new data to the CC will require some scripting. Please refer to [dataset processing](datasets#dataset-processing) for guidelines.
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### New data mapping |
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### New data mapping |