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9781529773941 Academic Inspection Copy

100 Activities for Teaching Research Ethics and Integrity

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This practical, user-friendly guide consists of 100 original activities that have been designed to inspire and support educators of research ethics and integrity at undergraduate and postgraduate level. Focussing on eight key areas, activities include: * Respecting human dignity, privacy and rights * Obtaining informed consent in the digital world * Capturing data on sexual orientation and gender identity * Recognizing and addressing bias when collecting data * Creating social change through research practice * Assessing the ethical implications of data sharing. Complete with detailed teaching notes and downloadable student handouts, as well as guidance on the type and level of each activity, 100 Activities for Teaching Research Ethics and Integrity is an essential resource for both online and face-to-face teaching.
Dr Catherine Dawson is a freelance researcher and writer, specializing in study skills, research methods and digital research methods. She writes books aimed at undergraduate and postgraduate students, and at university educators. She also writes online courses in study skills, research methods and digital research methods. Catherine studied at university in the United Kingdom for an undergraduate degree in Combined Humanities, a master's degree in Social Research and a PhD researching the learning choices of adults returning to education. She has worked as a research assistant, research associate and educator at various UK universities and as a research and training officer in both the public and private sectors. Over the years she has developed and taught research methods courses for undergraduate and postgraduate students and has designed and delivered bespoke research methods courses to employees in the private sector.
Section 1: Moral and social imperatives Section 2: Researcher and institution conduct Section 3: Compliance with policy, standard or law Section 4: Digital technology, software and tools Section 5: Data collection Section 6: Data analysis Section 7: Data management Section 8: Results and outputs
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