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: | Data Source | Collection Method | Tool/Platform | Frequency | Responsible Role | Sample Size/Coverage | |---|---|---|---|---|---| 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: | Data Type | Access Level | Who Can Access | Who Can Edit | Approval Required | |---|---|---|---|---| - 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: | Function | Responsible | Accountable | Consulted | Informed | |---|---|---|---|---| **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