Author: Bonolo Marishane

SayPro Study Information

Study ID	Study Title	Principal Investigator	Study Site(s)	Therapeutic Area	Phase	Sponsor
ST-001	[Insert Title]	Dr. A. Smith	Site A, Site B	Oncology	II	PharmaCo

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SayPro Submission Tracker

Submission Type	Submitted To	Submission Date	Approval Date	Status	Comments	Responsible Person
Protocol	Ethics Committee	2025-04-01	2025-04-15	✅ Approved	Minor revisions made	Jane Doe
Informed Consent Form	Ethics Committee	2025-04-01	2025-04-15	✅ Approved	Final version uploaded	Jane Doe
Case Report Form (CRF)	Sponsor	2025-04-03	2025-04-10	✅ Approved		John Smith
Investigator’s Brochure	Regulatory Authority	2025-04-05	Pending	⏳ Under Review	Expected by 2025-06-01	Dr. Green
Data Management Plan	Internal QA	2025-04-10	2025-04-20	✅ Approved		QA Team
Site Submission	Local IRB – Site A	2025-04-15	2025-05-01	✅ Approved	Site B pending	Site Coordinator
Site Submission	Local IRB – Site B	2025-05-05	Pending	🕒 Submitted	Follow-up required	Site Coordinator

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SayPro Legend

• ✅ Approved
• ⏳ Under Review
• 🕒 Submitted
• ❌ Rejected
• 🔁 Resubmission Required

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SayPro Tips for Use

• Color-code statuses for visibility (e.g., green for approved, yellow for under review).
• Track versions of documents in a separate sheet if needed.
• Use filters to view pending items or deadlines approaching.
• Keep updated weekly or as submissions progress.

SayPro Template DCA01 – Data Collection and Analysis

Purpose

The DCA01 template ensures clarity and consistency in the data handling process—from collection methods to analysis techniques. It supports:

• Planning of appropriate data collection tools and methods
• Ensuring data integrity and ethical compliance
• Systematic and transparent analysis of findings

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SayPro Template Structure and How to Fill It

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Section 1: Project Overview

• Project Title: Clearly state the research or project title.
• Researcher/Team Name(s): List the main individuals involved in data management.
• Date: Record when the form was completed or last updated.

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Section 2: Data Collection Plan

Data Type	Data Source	Collection Method	Instruments/Tools	Responsible Person	Timeline

Description:

• Data Type: What kind of data? (e.g., qualitative, quantitative, both)
• Data Source: Who or what will provide the data? (e.g., interviews, surveys, documents)
• Collection Method: How will you gather it? (e.g., online survey, face-to-face interview, focus group)
• Instruments/Tools: What tools will you use? (e.g., questionnaire, audio recorder, spreadsheet)
• Responsible Person: Who is in charge of each method?
• Timeline: When will each collection activity occur?

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Section 3: Data Management

• Data Storage Plan:
  Explain where and how the data will be stored securely (e.g., encrypted drives, cloud storage, paper files in locked cabinets).
• Data Privacy & Confidentiality:
  Describe how you will protect sensitive information (e.g., de-identification, password protection, limited access).
• Data Backup Procedures:
  Indicate how often and where data backups will be performed.
• Compliance:
  Note any relevant ethical approvals or data protection regulations (e.g., POPIA, GDPR).

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Section 4: Data Analysis Plan

Data Type	Analysis Method	Software/Tools	Responsible Person	Expected Output

Description:

• Data Type: Specify the kind of data being analyzed.
• Analysis Method: Outline how the data will be analyzed (e.g., thematic analysis, regression analysis, coding, cross-tabulation).
• Software/Tools: List any tools used for analysis (e.g., SPSS, NVivo, Excel, R).
• Responsible Person: Who will conduct the analysis?
• Expected Output: State the result or format of analysis (e.g., charts, tables, themes, insights).

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Section 5: Data Quality and Validation

• Validation Techniques:
  Describe how you will ensure data accuracy and consistency (e.g., triangulation, double entry, peer checking).
• Limitations or Challenges:
  List potential issues that may affect data collection or analysis and how they’ll be addressed.

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Section 6: Ethical Considerations

• Consent Process:
  How will informed consent be obtained from participants?
• Anonymity Measures:
  How will identities be protected in the data and reporting?
• Data Sharing and Retention:
  Indicate if the data will be shared, and how long it will be retained post-project.

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Section 7: Summary and Sign-Off

• Summary of Key Actions:
  Recap major steps or decisions in the data handling process.
• Signatures:
  Space for sign-off from the researcher(s), supervisor(s), or ethics officer.

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SayPro Optional Attachments

• Sample questionnaires or data collection tools
• Data coding framework or rubric
• Charts or mock-ups of expected data displays

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SayPro Example (Abbreviated Table)

Data Collection Table

Data Type	Data Source	Method	Tool	Person	Timeline
Quantitative	100 youth (ages 16–25)	Online survey	Google Forms	J. Mokoena	June 1–15, 2025
Qualitative	10 teachers	Interviews	Audio + guide	R. Dlamini	June 5–10, 2025

Data Analysis Table

Data Type	Method	Software	Responsible	Output
Survey	Descriptive stats	Excel	J. Mokoena	Charts, summary table
Interviews	Thematic analysis	NVivo	R. Dlamini	Coded themes, quotes

SayPro Template TDT01 – Topic Discovery Tracker
Purpose
The TDT01 template is used during the initial phase of research or project planning. It allows individuals or teams to:

Brainstorm and document potential topics

Track the development of ideas

Evaluate the relevance, feasibility, and impact of each topic

Narrow down to a final, well-justified research topic

Template Sections (Detailed)

1. SayPro Topic ID
   A unique code or short label for each idea (e.g., T001, T002).
   This helps with quick referencing and sorting.
2. SayPro Preliminary Topic Title
   A working title that briefly describes the topic idea.

It doesn’t need to be perfect—just clear enough to capture the concept.

Example:
“The Impact of Social Media on Youth Mental Health in South Africa”

3. SayPro Source of Idea
   Where or how the topic idea originated.
   Examples:

Literature review

Current events/news

Personal interest

Industry demand

Stakeholder suggestion

Supervisor feedback

4. SayPro Description / Rationale
   A short paragraph describing the topic and its importance.

Mention why it matters, what problem it addresses, and any initial insights.

Example:
“This topic explores how social media use influences mental health among teenagers, with a focus on anxiety and self-esteem issues. It is relevant due to rising concerns over digital well-being and mental health crises among youth.”

5. SayPro Keywords
   List relevant keywords or themes associated with the topic.
   E.g.: mental health, social media, adolescents, South Africa, depression
6. SayPro Alignment with Goals
   How well the topic aligns with the research purpose, organizational mission, or academic program outcomes.

Use a short justification or a rating scale (e.g., High / Medium / Low).

7. SayPro Feasibility
   Evaluate how realistic it is to pursue the topic based on:

Access to data

Timeframe

Resources

Expertise

Ethical considerations

Rating (example):
✔ Easy
⚠ Moderate
✖ Difficult

You can also justify the rating with a short note.

8. SayPro Potential Impact
   Estimate the significance of the topic’s results.

Could it inform policy, improve practices, raise awareness, or solve a problem?

Rating scale (example):

High (potential for large-scale influence or innovation)

Medium (useful within a defined community or field)

Low (limited scope or novelty)

9. SayPro Risks or Challenges
   Identify any known limitations or barriers:

Sensitive subject matter

Limited literature

Difficult access to participants

Time or cost constraints

10. SayPro Decision / Status
    Keep track of where each idea stands in the selection process.

Options:

Under Review

Selected

Rejected

Needs Revision

Combine with another topic

11. SayPro Notes / Actions Required
    Add any reminders, follow-ups, or next steps related to this topic.

E.g.: “Need to consult with advisor” or “Search for more recent journal articles”

Optional Additions
Some versions of the TDT01 may include:

A priority ranking (1–10)

Topic owner (if used in a group setting)

Links to reference articles or documents

Sample Entry Example
Topic ID Title Source Description Keywords Alignment Feasibility Impact Risks Status Notes
T001 Social Media and Mental Health in SA Teens News report Exploring links between Instagram use and anxiety/depression in high school students. mental health, teens, SA, social media High ⚠ Moderate (ethics approval needed) High Sensitive topic Under Review Read WHO 2022 mental health stats

Final Note
This tracker is a living document—update it as ideas develop, receive feedback, or as new insights emerge.

SayPro Template RPW01 – Research Planning Worksheet

SayPro Template RPW01 – Research Planning Worksheet

Section 1: Project Information

This section captures basic information about the research project.

• Project Title: Provide a clear, concise title that reflects the focus of the research.
• Project Number (if applicable): Any internal or official tracking number.
• Researcher(s)/Team: List names, roles, and contact details of the primary researcher and team members.
• Date Started / Date Due: Indicate the project start and expected completion dates.

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Section 2: Research Objective

Clearly state what the research aims to achieve.

• Main Research Question: Define the central question you intend to answer.
• Sub-Questions/Objectives: Break down the main question into specific sub-questions or research objectives.

Example:

• Main Question: How does remote work affect employee productivity in South African tech companies?
• Objectives:
  • To assess changes in productivity since the shift to remote work.
  • To evaluate employee perceptions of remote work benefits and challenges.

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Section 3: Background and Rationale

This provides context and justification for the research.

• Background: Summarize the existing knowledge or previous studies on the topic.
• Rationale: Explain why this research is important. Highlight the problem it addresses and the potential impact of the findings.

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Section 4: Methodology

Outline how the research will be conducted.

• Research Design: Choose and justify the type of research (qualitative, quantitative, or mixed methods).
• Data Collection Methods:
  • Surveys
  • Interviews
  • Observations
  • Literature review
• Sampling Strategy:
  • Define your target population and sampling method (random, stratified, purposive, etc.).
• Data Analysis Methods:
  • Explain how the data will be analyzed (statistical tools, thematic analysis, etc.).

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Section 5: Resources and Budget

Detail what resources are needed.

• Human Resources: Number and roles of people involved.
• Material Resources: Equipment, software, access to databases, etc.
• Estimated Budget: Provide cost breakdown (data collection, travel, transcription, incentives, etc.).

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Section 6: Timeline

Use a Gantt chart or a list to outline key milestones and deadlines.

• Phases:
  • Literature Review: [Start–End Date]
  • Data Collection: [Start–End Date]
  • Data Analysis: [Start–End Date]
  • Report Writing: [Start–End Date]
  • Final Submission: [Date]

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Section 7: Ethical Considerations

Explain how you will handle ethical aspects.

• Informed Consent: Describe how participants will give informed consent.
• Confidentiality: Methods for keeping data secure and anonymous.
• Ethics Approval: Indicate if institutional ethics approval is required and obtained.

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Section 8: Risk Assessment and Mitigation

Identify potential risks and how they will be managed.

• Potential Risks: e.g., non-response, data loss, ethical breaches.
• Mitigation Strategies: Backups, training, ethical oversight, contingency planning.

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Section 9: Expected Outcomes and Impact

Describe what you hope to discover and how it will be used.

• Expected Findings: Hypotheses or anticipated results.
• Application of Results: How findings will inform policy, practice, or further research.
• Stakeholders: Who will benefit from or be interested in the results.

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Section 10: References

Include a list of key references that informed your planning and background section.

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Optional Attachments:

• Survey Instruments
• Interview Guides
• Gantt Chart
• Detailed Budget

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Final Notes

Make sure all sections are:

• Aligned with your institution or organization’s research policy.
• Complete and thoroughly reviewed before submission.
• Signed off by any required supervisors or ethics boards.

SayPro Task: Submit Weekly Progress Updates via SayPro Tracking Sheet (STS-01)

SayPro Objective

To maintain clear communication, monitor project advancement, and identify any challenges early, all SayPro researchers and team members are required to submit weekly progress updates using the SayPro Tracking Sheet (STS-01).

SayPro Purpose

• Provide a structured overview of ongoing research activities, milestones achieved, and pending tasks.
• Facilitate project management and resource allocation through up-to-date status reporting.
• Support timely interventions and support where delays or issues arise.
• Enable SayPro leadership to assess overall progress and plan next steps effectively.

SayPro Submission Process

1. Access the STS-01 Form:
   • Download or open the latest version of the SayPro Tracking Sheet (STS-01) from the SayPro portal.
2. Complete Required Fields:
   • Project Name and Code
   • Researcher Name and Role
   • Reporting Week (Start and End Dates)
   • Key Activities Completed
   • Milestones Achieved
   • Challenges or Risks Encountered
   • Support Needed or Recommendations
   • Next Week’s Planned Activities
3. Review for Accuracy:
   • Ensure all information is accurate, clear, and concise.
   • Attach any supporting documents or links if relevant.
4. Submit the Tracking Sheet:
   • Upload the completed STS-01 form to the designated folder on the SayPro portal before the weekly deadline (e.g., every Friday by 5 PM).
   • Confirm submission by checking for system acknowledgment or notifying the project coordinator.

SayPro Compliance

• Weekly updates are mandatory for all active SayPro projects.
• Failure to submit updates on time may affect project evaluations and support.

SayPro Support

For questions or technical assistance, contact the SayPro Project Management Office at pmo@saypro.org.

SayPro Task: Upload All Drafts and Final Reports to SayPro’s System

Objective

To ensure centralized access, version control, and secure storage of SayPro research outputs, all researchers and contributors are required to upload all drafts and final reports promptly to SayPro’s designated digital system.

Purpose

• Facilitate collaborative review and feedback by making documents accessible to authorized team members.
• Maintain an organized repository of research materials for tracking progress and historical reference.
• Support transparency and compliance with SayPro’s documentation and archival policies.
• Enable efficient dissemination of finalized studies to stakeholders and publication channels.

Upload Process

1. Prepare Documents:
   • Ensure drafts and final reports are complete, properly formatted, and include all required elements (e.g., title page, abstracts, citations).
   • Verify compliance with SayPro templates and submission guidelines.
2. Access SayPro System:
   • Log in to the SayPro Research Management System (RMS) or designated document repository via the SayPro portal.
   • Navigate to the relevant project folder or create a new folder if authorized.
3. Upload Files:
   • Upload draft versions for ongoing feedback and collaboration.
   • Upload final reports marked clearly as “Final” with date and version number.
   • Attach any supporting materials such as data files, appendices, or supplementary documents.
4. Document Metadata:
   • Complete metadata fields accurately (e.g., project title, author(s), submission date, document type).
   • Add notes or comments if relevant for reviewers or archivists.
5. Confirm Submission:
   • Verify successful upload and receipt confirmation from the system.
   • Notify project leads or relevant supervisors if required.

Compliance

• All uploads must be completed within agreed deadlines to avoid delays in review and publication.
• Unauthorized sharing of documents outside SayPro’s system is prohibited to protect confidentiality and intellectual property.

Support

For technical issues or access problems, contact the SayPro IT Helpdesk at support@saypro.org or call +27 11 123 4567.

SayPro Weekly Task: Attend SayPro Virtual Training on GPT-Based Research

SayPro Objective

To build and enhance research capabilities using advanced AI tools, all SayPro researchers and participants are expected to attend weekly virtual training sessions focused on GPT-based research techniques. This ongoing training ensures that SayPro’s research community stays at the forefront of AI-assisted research innovation.

SayPro Purpose of Training

• Equip researchers with practical skills in using GPT and related AI tools for research development, data analysis, and report writing.
• Demonstrate effective prompt engineering to extract high-quality, relevant information.
• Showcase case study generation, data synthesis, and ethical AI use in research.
• Foster collaborative learning and problem-solving around AI tool applications.

SayPro Training Structure

• Frequency: Weekly sessions (e.g., every Wednesday at 10:00 AM)
• Duration: 1–1.5 hours per session
• Format: Interactive virtual workshops, including presentations, live demos, and Q&A
• Facilitators: SayPro AI experts and guest trainers with expertise in GPT technologies
• Materials: Access to training recordings, guides, and practice exercises via SayPro portal

SayPro Participant Responsibilities

• Log in punctually to each weekly session via the SayPro virtual platform.
• Engage actively by participating in discussions, exercises, and sharing feedback.
• Apply learned GPT techniques in current research projects and document usage outcomes.
• Complete any follow-up assignments or quizzes as part of skill reinforcement.

SayPro Benefits

• Improved research efficiency and creativity through AI augmentation.
• Greater capacity for rapid topic generation, data analysis, and report drafting.
• Enhanced competitiveness of SayPro research outputs in policy and academic circles.

SayPro Task: Peer Review 3 Case Studies from Fellow SayPro Researchers

Objective

To uphold high standards of research quality, credibility, and relevance, SayPro requires researchers to peer review 3 case studies each from fellow researchers. This process encourages constructive feedback, collaborative learning, and continuous improvement within the SayPro research community.

SayPro Purpose of Peer Review

• Ensure accuracy, validity, and rigor in research methodologies and findings.
• Provide objective critique to enhance clarity, depth, and policy relevance.
• Identify gaps, inconsistencies, or ethical concerns prior to publication.
• Foster knowledge sharing and strengthen internal research networks.

SayPro Peer Review Process

1. SayPro Assignment
   • Each researcher receives 3 case studies from colleagues, ideally outside their immediate project team to ensure unbiased evaluation.
2. SayPro Review Criteria
   Reviewers should assess:
   • Relevance: Alignment with SayPro’s research themes and stakeholder needs.
   • Methodology: Appropriateness, transparency, and rigor of research methods.
   • Data Quality: Accuracy, completeness, and ethical data handling.
   • Analysis & Findings: Logical coherence, depth of insight, and evidence support.
   • Presentation: Clarity of writing, structure, and visual aids (charts, tables).
   • Compliance: Adherence to ethical guidelines and submission standards.
3. SayPro Feedback Submission
   • Provide detailed, constructive comments using the SayPro Peer Review Feedback Form.
   • Highlight strengths as well as areas needing improvement.
   • Suggest actionable recommendations for revisions.
4. SayPro Follow-up
   • Discuss feedback with original authors if clarification is needed.
   • Support revisions to improve study quality before final submission or publication.

SayPro Expected Outcomes

• Enhanced quality and impact of SayPro case studies.
• Increased researcher engagement and mutual support.
• Strengthened internal quality assurance processes.

SayPro Timeline

• Peer reviews to be completed within 2 weeks of case study receipt.
• Feedback to be returned promptly to facilitate timely revisions.

SayPro Weekly Task: Select, Refine, and Submit 10 Studies

Objective

To maintain a consistent pipeline of high-quality research outputs, SayPro commits to selecting, refining, and submitting 10 research studies per week. This systematic approach ensures the timely production of actionable, well-analyzed case studies and reports that support SayPro’s strategic goals.

Process Overview

1. SayPro Selection
   • Review the pool of generated case study topics and research drafts.
   • Prioritize studies based on relevance to SayPro’s research agenda, stakeholder needs, and policy impact potential.
   • Select 10 promising studies that demonstrate clarity, originality, and data robustness.
2. SayPro Refinement
   • Collaborate with researchers and analysts to enhance study quality.
   • Edit for clarity, coherence, and methodological rigor.
   • Verify data accuracy and ensure all ethical and compliance standards are met.
   • Incorporate feedback from peer reviews and subject matter experts.
3. SayPro Submission
   • Prepare final study documents according to SayPro’s formatting and submission guidelines.
   • Complete all necessary documentation including Research Contributor Agreements (RA01), Ethics Declarations (ECD01), and Final Study Submission templates (FSS01).
   • Submit the finalized studies to the SayPro Research Repository and/or designated stakeholders.
   • Log submissions in the project tracking system for monitoring and reporting.

SayPro Expected Outcomes

• Consistent weekly output of 10 high-quality research studies.
• Enhanced research credibility and usefulness for policymakers and partners.
• Improved workflow efficiency and accountability within SayPro research teams.

SayPro Monitoring & Reporting

• Weekly review meetings to track progress and resolve bottlenecks.
• Monthly performance reports summarizing study submissions and impact metrics.

SayPro Task: Generate 100 GPT Prompts Per Session to Extract Case Study Topics

SayPro Purpose

To efficiently identify, explore, and develop relevant and high-impact case study topics aligned with SayPro’s research priorities, the research team will generate 100 tailored GPT prompts per session. These prompts will be designed to extract diverse, insightful, and actionable case study ideas using advanced AI language models.

SayPro Objectives

• Harness AI (e.g., GPT) capabilities to brainstorm innovative and varied case study topics.
• Cover a wide range of themes related to SayPro’s focus areas, including economic impact, social development, policy analysis, and stakeholder engagement.
• Ensure prompt diversity to capture emerging trends, regional issues, and cross-sectoral topics.
• Create a robust pool of potential research cases for selection and further investigation.

SayPro Process

1. Preparation: Define thematic areas and research goals for the session (e.g., youth empowerment, economic resilience, gender equality).
2. Prompt Generation: Use GPT to produce 100 unique and targeted prompts per session. Prompts should be clear, focused, and designed to extract detailed case study ideas or questions.
3. Review & Categorization: Evaluate the generated prompts for relevance, clarity, and novelty. Categorize them by theme, sector, or priority area.
4. Selection: Identify high-potential prompts to develop into full case studies or research proposals.
5. Documentation: Record all generated prompts and decisions in the SayPro research planning repository for transparency and future reference.

SayPro Example GPT Prompt Formats

• “Identify successful case studies on youth entrepreneurship in rural African communities.”
• “Explore economic impact case studies of microfinance initiatives in South Africa.”
• “What are key policy interventions that improved gender equality in workplace environments?”
• “Describe innovative community development projects using AI technology.”

SayPro Expected Outcomes

• A comprehensive list of 100 high-quality, AI-generated case study topics per session.
• Enhanced capacity for SayPro researchers to rapidly source and prioritize research areas.
• Strengthened integration of AI tools into SayPro’s research development processes.