atrisovic/fasse_analytic_data_docs.md

## fasse_analytic_data_docs.md

      
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              fasse_analytic_data_docs.md
            
          
    Step 1: Check analytic data

Is the data you need already on FASSE? Check out the catalog here: https://nsaph.info/analytic.html#analytic-data
If it is not, see step 2.
Step 2: Fill in the form below and add it in the comments here.

The format of the form goes like this:
* - key_name 
  - value 

Below is the form for analytic data documentation with key_names. Fill in the value fields or choose between the options.
One dataset should correspond to one form. If your dataset is spit into multiple files of a same format (ie, admissions_2011.fst, admissions_2012.fst etc), it is fine to complete one form.

* - dataset_name
  - a meaningful name (not filename)
* - dataset_author
  - Name Surname
* - date_created
  - Jun 15 2022
* - data_source
  - MedPar (admissions), MBSF (denominator), Medicaid MAX, other (specify)
* - spatial_coverage
  - US
* - spatial_resolution
  - zipcode, city, county, state
* - temporal_coverage
  - 1999-2016
* - temporal_resolution
  - daily, monthly, annually
* - description
  - Write in free text what (if any) processing was done to the data sources. Were there any selections (cuts), data quality checks and aggregations?
* - rce_location
  - `~/shared_space/TEXT`
* - fasse_location
  - `/n/dominici_nsaph_l3/projects/analytic/TEXT`

Optional fileds (choose as applicable):
* - publication (if this data was used in publication)
  - URL
* - GitHub repository/directory on how the data was processed
  - URL
* - exposures
  - What were the air pollution/exposure data sources used to create this data file? 
* - confounders
  - What were the confounder data sources used to create this dataset?
* - meterological
  - What were the meterological data sources used to create this data file?
* - other
  - What other data sources were used to create this data?
* - size
  - 1.2 GB
* - files
```
   ├── dataset_2011.fst
   ├── ...
   └── dataset_2016.fst
```
* - header (see in R with str(dat))
```
QID  : Factor 
ADATE: Date
year : num  
```


Embed the form here to get the JupyterBook (NSAPH handbook) entry for nsaph.info/analytic.html:
`````{dropdown} 1. Meaningful dataset name
```{list-table}
:header-rows: 0

COPY AND PASTE THE FORM HERE

````
`````