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The Global Picture component ‘International Official Finance’ is almost all comprised from OECD data. We would aim to update each data-series within this component, these are:
Data series Name
Front end name
fact.in_oda_gross_constant
Gross ODA received, US$
fact.in_oda_net_constant
Net ODA received, US$
fact.out_oda_net_constant
Net ODA provided by OECD DAC members, US$
fact.oda_percent_gni
Net ODA provided by DAC members, % of GNI
fact.oda_to_ldcs_percent_gni
Net ODA provided by DAC members to LDCs, % of GNI*
fact.in_oof_gross
Gross long-term other official flows and export credits received, US$
fact.out_oof_net
Net other official flows and export credits provided, US$
fact.out_ssc_net
Net ODA provided by non-DAC donors, US$
fact.ssc_percent_gni
Net ODA provided by non-DAC donors, US$
recipient_profile.oda_per_poor_person_2015
ODA per person living on under $1.90 a day, US$**
*May hold more complex coding than the others.
**Usually produced manually and submitted to developer.
These series had all been automated using the previous coding software (PostgreSQL?). I am unsure of their status in-terms of being moved over to R. The updates process would aim to:
Run scripts to obtain the data up to 2017 (meaning the only edit to the script would be to bring in the additional year of data)
to edit the Github CMS to change the control to go up to 2017 for each relevant indicator.
Ideally sign-off could be done via sense checks and spot checks back to the source if we using coding that has already been signed-off. If the coding has been moved to R and not signed-off then it may be worth considering a more detailed review.
Currently have assigned task with database relevant assignees and labels, the captures the need for a review prior to starting updates, however it would become a front-end task once the data has been produced and loaded onto staging. If the coding runs smoothly we could expect a quick turnaround.
The text was updated successfully, but these errors were encountered:
Data series needed for Global Picture update:
The Global Picture component ‘International Official Finance’ is almost all comprised from OECD data. We would aim to update each data-series within this component, these are:
*May hold more complex coding than the others.
**Usually produced manually and submitted to developer.
These series had all been automated using the previous coding software (PostgreSQL?). I am unsure of their status in-terms of being moved over to R. The updates process would aim to:
Currently have assigned task with database relevant assignees and labels, the captures the need for a review prior to starting updates, however it would become a front-end task once the data has been produced and loaded onto staging. If the coding runs smoothly we could expect a quick turnaround.
The text was updated successfully, but these errors were encountered: