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Look at datasets for which an overdue email has been sent and which ones have a subsequent update and compare with period prior to the time emails were sent. This will give us a rough estimate of the impact of the overdue emails. See Number of Dataset Updates before and after introduction of Overdue email.
3. CJ, Dev Team: Establish Mixpanel measures for freshness
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- What to expose? Only mark "fresh"? Overdue? By how much? Delinquent?
- How to represent in the interface?
- Sorting and/or filtering by freshness?
- Add a "Make Fresh" button for data contributors? If we do this, we may want to implement as an api call so that contributors could click a link in the overdue email to have the same effect.
- Related to this is this old Jira about making revision_last_updated visible in the UI
.Jira Legacy server JIRA (humanitarian.atlassian.net) serverId efab48d4-6578-3042-917a-8174481cd056 key HDX-4894
5. Data Partnerships Team: Define freshness workflow for handling delinquent datasets and ones with broken urls
What is the policy for dealing with delinquent datasets? What tools are needed to support DP team's work, such as:
- a freshness dashboard listing delinquent datasets and tracking contacts
- an overall freshness metric(s) so we can monitor freshness as an OKR (% fresh, % overdue, % delinquent)
- creating issues directly in Zoho
6. Mike:
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Implement emailer for broken urls
What is the policy for dealing with datasets with urls that that fail to download?Construct SQL queries and write Python code for emailer of broken urls.
T1 2018
7. Expose high level freshness metrics to HDX users
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