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Introduction

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Field

Description

Purpose

data_update_frequency

Dataset expected update frequency

Shows how often the data is expected to be updated or at least checked to see if it needs updating

last_modified

Resource last modified date

Indicates the last time the resource was updated irrespective of whether it was a major or minor change

dataset_date

Dataset datetime period

The date referred to by the data in the dataset. It changes when data for a new date comes to HDX so may not need to change for minor updates

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  1. Date of update: The last time any resource in the dataset was modified or the dataset was confirmed as up to date. The ideal is that the date of update history corresponds with what is selected in the expected update frequency. This is last_modified.

  2. Date Time period of data: The actual date or date range of the data within all the resources earliest start date and latest end date across all resources included in the dataset. This is dataset_date.

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Update Frequency

Dataset age state thresholds

(how old must a dataset be for it to have this status)

Fresh

Not Fresh

Up-to-date

Due

Overdue

Delinquent

Daily

0 days old

1 day old

due_age = f

2 days old

overdue_age = f + 2

3 days old

delinquent_age = f + 3

Weekly

0 - 6 days old

7 days old

due_age = f

14 days old

overdue_age = f + 7

21 days old

delinquent_age = f + 14

Fortnightly

0 - 13 days old

14 days old

due_age = f

21 days old

overdue_age = f + 7

28 days old

delinquent_age = f + 14

Monthly

0 -29 days old

30 days old

due_age = f

44 days old

overdue_age = f + 14

60 days old

delinquent_age = f + 30

Quarterly

0 - 89 days old

90 days old

due_age = f

120 days old

overdue_age = f + 30

150 days old

delinquent_age = f + 60

Semiannually

0 - 179 days old

180 days old

due_age = f

210 days old

overdue_age = f + 30

240 days old

delinquent_age = f + 60

Annually

0 - 364 days old

365 days old

due_age = f

425 days old

overdue_age = f + 60

455 days old

delinquent_age = f + 90


Never

Always

Never

Never

Never

Live

Always

Never

Never

Never

As Needed

Always

Never

Never

Never

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