# Executive Summary (Template)

- **Purpose:** Briefly state the scope and objectives of the research (e.g. “This report examines **[topic]** through a systematic review of current literature.”).  
- **Approach:** Outline the methodology at a high level (e.g. “We conducted keyword searches across academic databases and selected sources based on predefined criteria.”).  
- **Key Findings:** List 3–5 major findings or trends (bullet points are fine). For example:  
  - Finding 1 (e.g. “Most studies report X, Y, Z.”)  
  - Finding 2  
  - …  
- **Conclusions & Recommendations:** Summarize the overall conclusion and suggest actions or implications (e.g. “Evidence suggests A impacts B; future research should explore C.”).  

_No citations are typically needed in the executive summary; it should be concise yet informative, reflecting the main body of the report._

## Background

Provide context and motivation for the research topic. This section should include: 

- **Overview:** A brief description of the field or issue and why it matters.  
- **Existing Knowledge:** Summarize what is already known from prior studies or data (use a few citations if available, to reputable sources or reviews).  
- **Research Gap:** Identify gaps or controversies that justify the current review.  

(Example phrasing: “Several government reports and reviews note [broad trend], but the specific effects of [narrow topic] remain unclear.”)  

_Be concise: one or two paragraphs (3–5 sentences each) is typical._

## Key Questions / Hypotheses

- **Research Questions:** List the primary questions the report will address (e.g. “What is the effect of [X] on [Y]?”). Use bullet points if multiple.  
- **Hypotheses or Sub-Questions:** For analytical reports, explicitly state any hypotheses (e.g. “We hypothesize that [Intervention] leads to [Outcome]”). Otherwise outline themes to explore.  

_If appropriate, use the PICO framework (Population, Intervention, Comparison, Outcome) for health/clinical topics or similarly structured frameworks for other fields. This clarifies the focus of the search._

## Literature Search Methodology

Describe how sources were found and selected. Include:

- **Databases & Sources:** List where you will search (e.g. PubMed/Medline, Scopus, Web of Science, IEEE Xplore, Google Scholar, government databases, official reports, etc.). Use discipline-specific sources as needed (e.g. arXiv for physics, PsycINFO for psychology).  
- **Keywords and Boolean Strings:** Explain how search terms were chosen (key concepts and synonyms). For example:  
  - Identify 3–5 core concepts from the topic and enumerate synonyms or related terms.  
  - Combine them using Boolean operators: `(concept1 OR synonym1 OR synonym2) AND (concept2 OR synonym) AND …`.  
  - **Example Search String:** For a topic on electoral gender representation:  
    ```
    ("election system" OR "electoral system" OR "voting system") 
    AND ("Great Britain" OR "United Kingdom" OR UK) 
    AND (women OR female) 
    AND "House of Commons"
    ```  
    This approach of using quotes, AND/OR, and wildcards was recommended for systematic searching.  
  - For web searches, add qualifiers like `site:.edu`, `filetype:pdf`, or domain filters (e.g. `site:gov`) to target credible sources.  
- **Filters/Criteria:** Note any date range (e.g. last 10 years, or include classics), language, or study type restrictions.  
- **Inclusion/Exclusion Criteria:** Clearly define what makes a source eligible. For example:  
  - Inclusion: Empirical studies on [population], published in peer-reviewed journals or authoritative outlets, from year X onward.  
  - Exclusion: Opinion pieces, non-English reports, studies without original data, etc.  
  - Common categories include population studied, geography, time period, interventions/exposures, and outcomes.  

_Do not begin the search yet (unless the topic is given). This section explains how you *will* search. It ensures reproducibility. Use past tense only if actual search was done; otherwise future/potential phrasing (since topic is unspecified)._

## Prioritized Sources

Describe which sources you will trust most, in order:

- **Primary and Official Sources:** Peer-reviewed journal articles, conference proceedings, technical reports, and primary data sources. Government or intergovernmental reports (e.g. WHO, OECD, NASA) and reputable institutional white papers are highly valued for credibility. (For example, official statistical databases like Census.gov or Data.gov provide authoritative data.)  
- **Secondary Sources (Evidence Syntheses):** Systematic reviews, meta-analyses, and review articles in reputable journals. These synthesize many primary studies.  
- **Tertiary Sources:** Textbooks or established reference works for basic definitions or background only (used sparingly).  
- **News/Media:** High-quality journalism (e.g. New York Times, BBC, The Economist) may be used for context or the latest developments, but only when peer-reviewed data is unavailable. Cite such sources carefully.  
- **Other:** Conference abstracts, theses, preprints (use cautiously, noting non-peer-review).  

_This hierarchy mirrors the “strength of evidence” concept. Emphasize peer review and authority to avoid unreliable information._

## Data Extraction Template

Plan which fields to record for each selected source. Common data-extraction fields include:

- **Citation:** Full reference (APA/MLA style as needed) for traceability.  
- **Type:** e.g. Journal article, Report, Dataset, Book, etc.  
- **Year:** Publication year.  
- **Methods/Design:** Brief note of study design (e.g. RCT, cohort, survey, qualitative case study) or data source type.  
- **Sample/Scope:** Sample size, populations studied, timeframe, geographic scope.  
- **Key Findings:** Main results or conclusions relevant to the research questions (keep these short).  
- **Limitations:** Noted weaknesses (e.g. small N, bias, short follow-up, observational design, etc.).  
- **Relevance/Quality Score:** A subjective score or checklist (1–5) of how directly the source addresses the question and its methodological rigor.  

For example, a summary table might look like:

| Citation               | Type     | Year | Methods    | Sample/Size | Key Findings                 | Limitations                  | Relevance |
|------------------------|----------|------|------------|-------------|------------------------------|-----------------------------|-----------|
| Smith et al. (2020)    | Journal  | 2020 | RCT        | 500 patients| Intervention X reduced Y by 20% | Short 6-month follow-up; single center | 4/5      |
| Jones & Lee (2018)     | Report   | 2018 | Survey     | 1,200 adults| 65% support policy Z         | Self-reported data, possible sampling bias | 3/5    |
| *… (up to 10 sources)*| ...      | ...  | ...        | ...         | ...                          | ...                         | ...       |

_This table is a template: actual data will be filled once the topic is chosen. The “Relevance” score helps prioritize sources during synthesis._

## Synthesis Approach

Detail how you will combine the extracted data into conclusions:

- **Qualitative/Thematic Synthesis:** If sources are primarily qualitative or heterogeneous, use an inductive coding approach. For instance, extract themes or categories and compare them across studies. One model (thematic synthesis) involves line-by-line coding of findings, grouping into descriptive themes, then generating higher-level analytical themes.  
- **Quantitative/Meta-Analysis:** If multiple studies report numerical outcomes on the same scale, consider statistical meta-analysis. Pool effect sizes using random-effects models to account for heterogeneity, following guidelines (e.g. Cochrane Chapter 10). This allows calculation of an overall effect estimate and confidence intervals. If full meta-analysis isn’t possible, report ranges or vote counts (how many studies agree/disagree).  
- **Narrative Synthesis:** Often use a structured summary of findings: group studies by sub-topic or result, highlight patterns, and note outliers. Use tables or charts to compare results where possible (e.g. bar charts of effect sizes, timeline of publication).  
- **Triangulation:** Corroborate findings across different study types or data sources. For instance, if both survey data and experiments suggest the same conclusion, confidence is higher.  

_Whenever possible, explicitly note consistencies and discrepancies among sources. For mixed-method reviews, both thematic (qualitative) and statistical (quantitative) synthesis may be applied as appropriate._

## Limitations

Discuss potential weaknesses of this report’s approach:

- **Search Limitations:** Note the possibility of missing relevant studies (especially unpublished or non-English literature) and any time/language filters used.  
- **Publication Bias:** Acknowledge that published research may over-represent positive results.  
- **Methodological Gaps:** If key data are sparse or methods vary widely across sources, the conclusions may be tentative.  
- **Scope:** Clarify that analysis is based on the chosen topic boundaries (geography, timeframe, population).  
- **Time/Resource Constraints:** Mention if the review is a “rapid review” or systematic; shorter timelines may limit comprehensiveness.  

_Citing best practices (e.g. PRISMA guidelines) is optional but can strengthen this discussion. For instance, the PRISMA statement emphasizes transparency in reporting limitations of the search and selection process._

## Next Steps

Outline what comes after this report:

- **Further Research:** Identify areas needing deeper study or new data collection.  
- **Periodic Updates:** For ongoing fields, plan for updating the search (e.g. annually).  
- **Implementation:** Suggest how stakeholders might act on the findings (policies, programs, experiments).  
- **Report Dissemination:** If relevant, note audiences (e.g. a summary for executives, a publication for academics).  

(For example: “If [topic] is identified as a priority, next steps could include a pilot study to fill the largest knowledge gap, and presenting results at [relevant conference].”)

## Example Search Queries

*Use code formatting or quotation marks to illustrate queries.* For instance:

- **Academic Database (e.g. PubMed/Scopus):**  
  ```
  ("climate change" OR "global warming") AND (policy OR regulations) AND (health OR environment)
  ```
  (Use quotes for phrases, OR for synonyms, AND to combine concepts; apply field tags or filters if needed.)  
- **Google Scholar:**  
  ```
  intitle:"machine learning" AND intitle:healthcare OR AI medical inurl:pdf
  ```  
- **General Web Search:**  
  ```
  "educational outcomes" AND (poverty OR disadvantage) site:.edu filetype:pdf
  ```  
- **Library/Ebook Search:**  
  ```
  "renewable energy" AND "cost-benefit analysis" year:2018..2025
  ```  
These are illustrative examples. Actual queries will depend on the topic. Document each query tested (as recommended in systematic review protocols).

## Table Template for Source Comparison

Below is a sample Markdown table format to compare up to 10 sources. Replace the placeholder text with actual data once sources are selected:

| Citation                        | Source Type | Year | Methods/Design       | Sample/Size                 | Key Findings                                        | Limitations                             | Relevance (1–5) |
|---------------------------------|-------------|------|----------------------|-----------------------------|-----------------------------------------------------|-----------------------------------------|----------------|
| *Author et al.* (Year)          | Journal     | 20XX | RCT / Survey / Qual  | n = …; population = …       | Brief summary of main result (data or conclusion)   | Main caveat or bias                      | 4              |
| *Another Author et al.*         | Report      | 20YY | Observational study  | n = …; timeframe …          | Key outcome and significance                        | e.g. non-random sample, limited scope    | 3              |
| (Repeat for up to 10 sources)   | ...         | ...  | ...                  | ...                         | ...                                                 | ...                                      | ...            |

_Adjust columns as needed for the specific review. The “Relevance” score helps in qualitative assessment of each source._

## Suggested Visualizations

Where applicable, include figures to make the report more informative:

- **Timeline Diagram:** A timeline of project milestones or of publication dates of key studies. _Example (Mermaid syntax):_

  ```mermaid
  timeline
      title Example Project Timeline
      2026-01-01 : Define research scope
      2026-02-01 : Develop search strategy
      2026-03-01 : Conduct literature search
      2026-04-01 : Extract data and analyze
      2026-05-01 : Draft report
      2026-06-01 : Review and finalize
  ```

- **Methodology Flowchart:** A flowchart of the review process (often a PRISMA diagram for systematic reviews). _Example (Mermaid syntax):_

  ```mermaid
  flowchart TD
      A[Define Research Question] --> B[Develop Search Strategy]
      B --> C[Conduct Database Searches]
      C --> D[Screen Titles/Abstracts]
      D --> E[Retrieve Full Texts]
      E --> F[Select Studies (apply criteria)]
      F --> G[Extract Data]
      G --> H[Synthesize Results (meta/thematic)]
      H --> I[Write Report]
  ```

- **Data Charts:** Graphs that illustrate findings (e.g. bar charts of effect sizes, pie charts of study types, line graph of publication trend). *Note:* When actual data are available, produce clear, labeled charts. For the template, simply note placeholders (e.g. “Chart: Sample sizes by study” or “Figure: Bar chart of reported outcomes”).  

Visual elements like these help readers quickly grasp the workflow and summary data. For systematic reviews, the PRISMA flow diagram (depicting how many records were identified and screened) is standard.  

## Assumptions and Scope

- **Topic:** Unspecified placeholder topic; sections above assume a typical academic or policy research subject.  
- **Audience:** General research-literate audience (colleagues, stakeholders, or supervisors). Adjust jargon accordingly.  
- **Length:** Flexible; however, a comprehensive report following this template might range from ~15–30 pages once filled with content, depending on topic complexity.  

Because the topic is unspecified, this template focuses on the **process** rather than content detail. When a specific topic is provided, the above framework will guide actual literature searching, data gathering, and writing.

## Timeline and Effort Estimates

- **Small Scope:** Narrow or focused topic (few key sources). Search and write-up might take **1–3 weeks** (roughly 10–40 hours).  
- **Medium Scope:** Broader topic or interdisciplinary (tens of sources, moderate screening). Expect **1–3 months** (e.g. 100+ hours) to search thoroughly and synthesize results.  
- **Large Scope:** Comprehensive systematic review (hundreds of sources, meta-analysis, or large team). This could take **6–12+ months**. (Borah et al. found that systematic reviews average ~67 weeks from start to publication.)  

These are rough guidelines. Actual time depends on factors like number of databases, clarity of results, and whether additional analyses are needed. Rapid or scoping reviews can shorten timelines by narrowing criteria.

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*Once a specific topic is chosen, each section above will be populated with actual data and citations. The framework ensures a rigorous, reproducible approach, culminating in a well-organized, evidence-based report.*