Research Assistant Prompts
AI tools for literature review, data analysis, and report generation
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Summarize Key Findings from Literature
Extract main arguments, methods, and gaps from academic papers.
"Analyze the following text from a research paper [paste text or provide summary]:
Identify and summarize:
1. **Main Research Question(s) or Objectives:** What problem is the paper trying to solve?
2. **Key Findings/Results:** What are the main conclusions?
3. **Methodology Used:** Briefly describe the approach (e.g., survey, experiment, case study, lit review).
4. **Key Theoretical Contributions (if any):** Does it introduce or refine any theories?
5. **Limitations Mentioned:** What weaknesses does the paper acknowledge?
6. **Future Research Suggested:** What gaps or next steps does the paper identify?
7. **Relevance to [Your Specific Research Topic]:** How does this paper inform your area of interest?
Present the summary in clear bullet points."
Generate Research Questions
Develop specific, answerable questions for a research topic.
"Given the broad research topic of '[Your Broad Research Topic, e.g., the impact of remote work on employee well-being]', generate 5-7 specific, feasible, and relevant research questions suitable for a [type of study, e.g., qualitative study, quantitative survey, literature review].
Ensure the questions are:
- **Clear and Focused:** Avoid ambiguity.
- **Researchable:** Can be answered through data collection or analysis.
- **Complex:** Not simple yes/no answers (unless appropriate for the study type).
- **Relevant:** Directly address the core topic.
Consider different angles, such as [mention specific sub-themes if any, e.g., impact on different demographics, specific well-being metrics, long-term effects]."
Outline Methodology Section
Structure the methods section for a research paper.
"Create a detailed outline for the Methodology section of a research paper based on the following study description:
- **Research Topic:** [Your Research Topic]
- **Research Aim/Objectives:** [Briefly state the aims]
- **Proposed Approach:** [e.g., Quantitative Survey, Qualitative Interviews, Mixed Methods, Experiment, Systematic Literature Review]
- **Target Population/Sample:** [Describe the participants or data source]
- **Data Collection Method(s):** [e.g., Online questionnaire, Semi-structured interviews, Archival data]
- **Key Variables/Concepts Measured (if applicable):** [List main variables]
- **Proposed Data Analysis Technique(s):** [e.g., Thematic analysis, Statistical tests (specify if known), Content analysis]
The outline should include standard sub-headings appropriate for the approach (e.g., Research Design, Participants, Materials/Measures, Procedure, Data Analysis Strategy, Ethical Considerations)."
Identify Potential Data Sources
Find relevant datasets, databases, or literature sources.
"For the research topic '[Your Research Topic]', identify potential sources of data or information. Include a mix of the following types where applicable:
1. **Academic Databases:** Suggest specific databases relevant to the field (e.g., PubMed for medical, Scopus/Web of Science for general academic, PsycINFO for psychology).
2. **Publicly Available Datasets:** Mention government data portals (e.g., data.gov, Eurostat), institutional repositories, or specific well-known datasets in the field (e.g., World Bank Data, Census data).
3. **Grey Literature Sources:** Suggest relevant organizations, think tanks, or websites that might publish reports or data related to the topic (e.g., WHO, OECD).
4. **Primary Data Collection Methods (if relevant):** Briefly suggest appropriate methods if existing data is likely insufficient (e.g., surveys, interviews, experiments).
5. **Keywords for Searching:** Provide 5-10 effective search keywords or phrases for literature databases related to this topic.
Briefly explain why each suggested source type might be relevant."