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Long Term Goals

  • Data Import can consistently process large uploads in a single job, without failure, to support a library’s higher volume needs.

  • Large Data Import uploads can be processed at a dependable speed which does not unreasonably delay or hinder other data processing.

  • Data Import is intuitive for users to complete both common and unique processes with in-UI validation and detailed error messaging to promote proper usage.

  • Substantial documentation is available to support user understanding of Data Import’s capabilities.

👁️  Current State (September 2024)

In September 2024, a survey was shared with the Data Import Subgroup and the larger Metadata Management SIG as a pulse check to identify strengths and weaknesses in the current iteration of Data Import (all responders were running on Poppy release at the time of inquiry). The results of this survey are distilled into high-level bullets below:

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Strengths:

  • Data Import module has been stabilizing over recent releases

  • Action profiles generally work as expected

  • Data Import is reliable for most common data-ingestion processes

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Weaknesses:

  • Documentation is lacking

  • Large jobs can still be unreliable

  • Match profiles can do better to support partial matches and complex criteria

  • Hard to know exactly how a complex job profile will process

  • Lack of clear, actionable error messages

🔗 Project Themes

As we identify our Data Import goals and the work needed to reach them, we want to filter project ideas and concepts through the following themes:

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Usability

  • Is the design and user experience of Data Import intuitive?

  • Are features of the app easily understood?

  • Is documentation clear, understandable, and accessible

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Functionality

  • Does Data Import do what we expect it to do and does it do it well?

  • Does it "work"?

  • Do we need enhancements to support user needs?

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Stability

  • Is Data Import stable in an average environment?

  • Does it crash in certain scenarios?

  • Is it consistent?

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Performance

  • How quickly can Data Import jobs process?

  • Is memory/CPU usage well-managed?

  • Does it run well with average tenant setup?

🗓️  Roadmap

overview

Overview

Ramsons
Status
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titleIn progress
:

Jira Legacy
serverSystem Jira
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keyUXPROD-4348

Jira Legacy
serverSystem Jira
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keyUXPROD-3556

Jira Legacy
serverSystem Jira
serverId01505d01-b853-3c2e-90f1-ee9b165564fc
keyUXPROD-4081

Jira Legacy
serverSystem Jira
serverId01505d01-b853-3c2e-90f1-ee9b165564fc
keyUXPROD-4469

Sunflower
Status
colourYellow
titleUpcoming
:

Jira Legacy
serverSystem Jira
serverId01505d01-b853-3c2e-90f1-ee9b165564fc
keyUXPROD-4944

Jira Legacy
serverSystem Jira
serverId01505d01-b853-3c2e-90f1-ee9b165564fc
keyUXPROD-4754

Jira Legacy
serverSystem Jira
serverId01505d01-b853-3c2e-90f1-ee9b165564fc
keyUXPROD-4080

Jira Legacy
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keyUXPROD-4704

*NOTE: Plans for Sunflower are not yet solidified as of 10/8/2024

Potential projects for Trillium, Umbrellaleaf, etc…
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Usability

Jira Legacy
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keyUXPROD-4936

Jira Legacy
serverSystem Jira
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keyUXPROD-4935

Jira Legacy
serverSystem Jira
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keyUXPROD-4943

Jira Legacy
serverSystem Jira
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keyUXPROD-4938

Jira Legacy
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keyUXPROD-4440

+ various initiatives to create, enhance, and maintain Data Import documentation

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Functionality

Jira Legacy
serverSystem Jira
serverId01505d01-b853-3c2e-90f1-ee9b165564fc
keyUXPROD-4937

Jira Legacy
serverSystem Jira
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keyUXPROD-4933

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Stability

Jira Legacy
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keyUXPROD-4929

Jira Legacy
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keyUXPROD-4927

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Performance

Jira Legacy
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keyUXPROD-4926

Jira Legacy
serverSystem Jira
serverId01505d01-b853-3c2e-90f1-ee9b165564fc
keyUXPROD-4928