Outcome 1
Identify participants, data, communities and researchers who may be affected by a study.
Foundations & Planning · Premium downloadable PDF
Research Ethics & Academic Integrity Course
Identify and manage research risk, consent, privacy, data, authorship, source use, AI-tool disclosure and publication responsibilities.
Who this is for
A practical self-study system for researchers.
Students, researchers, supervisors and research-support professionals who need a practical introduction to ethical study and publication decisions.
The PDF course is written in English and designed for independent, self-paced study. It explains each decision, provides fictional illustrations, and includes workbook pages that you can print or complete separately against your own research.
The purchase does not include private document review, editing, data analysis, or live sessions. Those are available through the live group fee or a separately quoted one-to-one or institutional format.
Learning outcomes
What you should be able to do after the course.
Achievement depends on completing the lessons, using the worksheets, practising the decisions, and applying the process to your own work.
Outcome 2
Plan informed consent, privacy, confidentiality and risk controls proportionately.
Outcome 3
Manage research data, authorship, citations, conflicts and tool-use disclosures responsibly.
Outcome 4
Recognise fabrication, falsification, plagiarism and questionable publication practices.
PDF course syllabus
A practical sequence from foundations to final checks.
21 pages of original instruction, guided decision tools, printable worksheets, and completion checks.
- 01
Ethical Principles, Review and Proportionate Risk
Identify applicable review requirements and evaluate foreseeable harm, benefit, justice and researcher responsibility.
- 02
Consent, Privacy and Participant Relationships
Create a voluntary and understandable participation process while managing confidentiality limits.
- 03
Data Governance, Security and Responsible Sharing
Control data access, identifiers, storage, retention, sharing and disposal across the research lifecycle.
- 04
Authorship, Integrity, AI Tools and Publication Ethics
Protect the accuracy and ownership of the scholarly record from data collection through publication.
Included in the PDF purchase
Instruction, worksheets, and a documented learning route.
- 21-page focused PDF course + printable workbook
- Original lessons, decision rules, and worked illustrations
- Printable decision worksheets and quality checklists
- Course-completion audit and 30-day action plan
- Verified primary-guidance links and a personal-use licence
Not included
- Writing or completing your assessed submission for you
- Live teaching, individual editing, data analysis, or document review unless separately purchased
- University accreditation, academic credit, or professional licensing
- Guaranteed approval, grade, journal acceptance, or publication timing
Course and training options
Choose the level of guidance and personalisation.
21-page focused PDF course + printable workbook with a personal-use licence and secure post-payment download.
Buy PDF course4 live sessions delivered online across 2 weeks, with shared activities and included resources.
Enrol in live trainingPrivate sessions adapted to your stage, discipline, objectives, and preferred timetable.
Request a quoteA private workshop or licensed learning package for a university, department, research team, or organisation.
Request group trainingCourse questions
Know what you are buying.
PDF purchases and live training have different delivery terms. The selected format, payment route, and applicable conditions are confirmed before payment.
How is the PDF delivered?
After payment is verified, a personal download link is sent to the email address and WhatsApp number supplied with the purchase request. Keep those details accurate and retain the receipt.
May I print or share the course?
You may save and print a copy for your own learning. Redistribution, resale, public upload, classroom distribution, or inclusion in another commercial product is not permitted under the personal licence.
Does completing the course provide ethical approval?
No. Ethical approval can only be issued by the authorised institution or review body under its procedures.
Does the course ban all AI tools?
No. Acceptability depends on the task, confidentiality, institutional or journal rules, disclosure and human verification. Fabrication and misrepresentation remain prohibited.
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