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maps

merging Covid-19 data together the repository contains folders per datasets. Each folder's name is a copy of the dataset name. Additionally, each folder has a config files for mapping the ontologies according to panmap view protocol. Each folder will contain a column mapping in which all variables with the provided names will appear as rows under provided column. The provided column names will be 'recoded' to ontological name - a universal name. This is done for the purpose of interoperability and working with universal names,where possible, in the process of merging the datasets into one.

Standardising the generic/obvious variables

Variable gender

provided variable for Sex -> gender provided categories for gender if M -> male F -> female
NA -> unknown

Variable Date

provided variable Date -> date

Variable age group

provided AGEGROUP -> agegroup

Variable sample_count

provided variable for number tested -> sample_count

Variable GPS location

provided variable latitude -> GPS_latitude provided vartiable longitude -> GPS_longitude

Variable State

provided State -> state

Variable County

provided County -> county

Variable Deaths

provided Deaths -> deaths ontology term: life-death temporal boundary UBERON_0035944

Columns to be added to datasets

Data Types

Aggregate data -> pool Individual data -> individual

UK data

Add a column that provides the name of the country the data was collected from Column to be named -> location_country

Constant variables

Two columns needed standard -> Aggregate data -> pool -> Individual data -> individual additional column -> OBI_0302716 -> OBI_0002648 ontologies can be found here : https://github.com/VEuPathDB-ontology/VEuPathDB-ontology/blob/master/src/ontology/eupath_dev.owl

git clone this onto your computer and view using protege which can be downloaded here: https://protege.stanford.edu/

How to deal with different kinds of 'cases'

Two columns needed -> case count and case type case count -> 25 case type -> deaths -> positive cases -> negative cases -> clinical diagnosis -> self reporting -> symptom report

How to deal with time series data - see data no_deaths_all_causes_care_homes_local_authority

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