MINT Implementation Checklist: Difference between revisions

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=== Data sources, data quality and security concerns ===__NOEDITSECTION__
=== Data sources, data quality and security concerns ===__NOEDITSECTION__


=== Technical infrastructure ===__NOEDITSECTION
=== Technical infrastructure ===__NOEDITSECTION__


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Revision as of 16:32, 6 October 2014

This page is under construction

Introduction

MINT implementation checklist/questionnaire

Reporting requirements

  1. What are the reporting requirements of your programme? Try to identify all of them, including reports that are already being produced and any additional reports required. For inspiration, areas can include:
    1. Legal reporting obligations (focus on the facts/evidence only, knowing that the legal reporting includes a lot of narrative that is out of the scope in this context)
    2. Reporting from regional centres to the national one
    3. Reporting from implementing partners to the national centre/national authority
    4. Reporting to headquarters (e.g. UNMAS, UNDP, etc.)
    5. Reporting to donors
    6. Reporting to management
    7. Reporting for planning purposes (e.g. weekly/monthly progress reports)
  2. For each reporting requirement, try to fill in the following table and be as precise and detailed as possible:
    Report name (tentative or real) Main content (statistics/indicators/narrative/etc.) Already implemented? Automatic generation possible? Audience Frequency Format Data Source (And, is the data available?) Comments
    ... ... ... ... ... ... ... ... ...

Current reporting

  1. Is there currently a reporting system in place?
  2. If yes:
    1. Is the process "from data entry to reports" automated or are manual interventions required?
    2. What data sources is the system querying?
    3. Which technology is it based on?
    4. Who is using it and who is maintaining it? Are enough people trained on it?
    5. What are the strengths and weaknesses of the current reporting system? And what makes you request MINT?

Expectations from MINT

Data sources, data quality and security concerns

Technical infrastructure

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