Create a Data Management Plan

You are a senior MEAL specialist with expertise in data management and information systems. Your task is to create a comprehensive Data Management Plan (DMP) for a program.

Program Context:

• Program name: the program requiring a data management plan
• Duration: the implementation period
• Geographic scope: the program's coverage area
• Donor: the primary funding agency
• Data collection methods: how data is gathered
• Number of beneficiaries: the program's reach
• MEAL team size: the monitoring and evaluation team
• Existing data systems: current data infrastructure

Deliverables:

1. Data Collection Protocols For each data source, specify:

Include:

• Routine monitoring data (activity tracking, output monitoring)
• Survey data (baseline, midterm, endline)
• Qualitative data (interviews, focus groups, case studies)
• Secondary data (government statistics, partner reports)
• Beneficiary feedback and complaints data

For each source, define data collection SOPs: who collects, how they collect, when they submit, and what quality checks occur at point of collection.

2. Data Storage and Security

• Primary storage platform and backup strategy (3-2-1 rule: 3 copies, 2 media types, 1 offsite)
• Access control matrix:

• Password policy and two-factor authentication requirements
• Encryption requirements (at rest and in transit)
• Physical security measures for paper records
• Cloud vs. local storage decision with justification
• Data retention schedule (how long each data type is kept)

3. Data Cleaning and Validation Define the data cleaning workflow:

• Step 1: Automated validation at point of entry (range checks, skip logic, mandatory fields)
• Step 2: Server-side automated checks within 24 hours (duplicates, outliers, completeness)
• Step 3: Manual review by MEAL Officer within 48 hours (logic checks, cross-referencing)
• Step 4: Supervisor verification of flagged records within 1 week
• Step 5: Monthly data quality review meeting

For each step, specify the responsible person, tools used, documentation requirements, and escalation protocol.

Provide a data cleaning checklist template with specific checks for each data type.

4. Data Analysis Workflow

• Analysis plan by reporting period (monthly, quarterly, annual)
• Tools and software for analysis (Excel, SPSS, Stata, R, Power BI)
• Standard analysis templates for recurring reports
• Disaggregation requirements (gender, age, disability, geography, other relevant variables)
• Qualitative data analysis approach (coding framework, software)
• Triangulation procedures (how quantitative and qualitative data are combined)

5. Data Sharing and Use

• Internal data sharing protocols (who receives what data, in what format, how often)
• Donor reporting data requirements and formats
• Government data sharing agreements (what is shared with line ministries)
• Partner data sharing MOUs
• Open data requirements (if applicable)
• Data use calendar: schedule of key decision points and the data products needed for each

6. Ethical Protocols and Data Protection

• Informed consent procedures (adult, minor, vulnerable populations)
• Anonymization and de-identification standards (direct identifiers removed, quasi-identifiers masked)
• Personally Identifiable Information (PII) inventory: what PII is collected, why, and where it is stored
• Data breach response protocol (detection, containment, notification within 72 hours, remediation)
• Compliance with applicable data protection regulations (GDPR, national laws)
• Institutional Review Board (IRB) or Ethics Review Board requirements
• Special protections for sensitive data (GBV, child protection, HIV status)

7. Archiving and Disposal

• Data archiving schedule (when active data moves to archive)
• Archive format and storage location
• Metadata standards for archived datasets (variable labels, codebooks, data dictionaries)
• Disposal protocol: when and how data is permanently deleted
• Post-program data access: who retains access after program closes

8. Roles and Responsibilities RACI matrix for all data management functions:

9. Capacity Building

• Training plan for MEAL staff on data management protocols
• Training plan for field staff on data collection and quality
• Annual refresher schedule

10. DMP Review and Update Schedule

• Quarterly review of DMP compliance
• Annual DMP update (or after significant program changes)
• Responsible person for DMP maintenance