View source for Instruction:88d53f86-92f3-440a-b8c6-b50aaf0c4539

{{Instruction
|Title=SPOC: Data in responsible conduct of research
|Instruction Goal=The Data in responsible conduct of research course  is designed to highlight which integrity issues can rise during a research project and to promote RCR.
|Has Requirements=This course is destined to PhD students.
|Has Duration=6
|Has Participants=25
|Important For=PhD Students; Junior researchers
|Has Method=eLearning
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|Has Practical Tips=This course is available under request. If you are interested please send an email to: integrity.rcr@gmail.com 

The Teacher's guide for all INTEGRITY SPOCs is accessible here: [https://community.embassy.science/t/trainings-and-courses/306 Teacher's Guide SPOC]
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{{Instruction Step Trainee
|Instruction Step Title=RCR and data in research
|Instruction Step Text=In the first learning unit, students learn about the research cycle and are introduced to the RCR Reflection Model. 

The RCR Reflection Model was developed in the H2020 Integrity project to help students reflect on integrity dilemmas. The model consists of four steps (explore the context, analyze, balance/decide, and conclude/act). For each of these steps, course participants go through a series of questions that help them reflect and work towards a conclusion.

After learning about this model, participants will practice applying it to a case in groups.
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{{Instruction Step Trainee
|Instruction Step Title=Data collection and handling
|Instruction Step Text=In this learning unit, students will learn about the GDPR regulations and apply them to a case. They will also study the principles and considerations that are important in ethics review, respond to statements about the ethics of data collection, read articles on the ethics of big data, and learn about data books.
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|Instruction Step Title=Data analysis
|Instruction Step Text=In this learning unit, participants analyze a case in groups using the RCR reflection model. They will present their analysis in the second live meeting of the course.
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|Instruction Step Title=Data storage and management
|Instruction Step Text=In the fourth learning unit, participants learn the basics of writing a Data Management Plan (DMP). At the end of the LU, students make their third and final portfolio assignment.
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{{Instruction Step Trainee
|Instruction Step Title=Open science and intellectual property
|Instruction Step Text=In this learning unit, students give and receive peer feedback on the portfolio assignments, reflect on the open science movement, consider the implications of the replication crisis for their research, and are introduced to intellectual property and different licences and discuss a case related to this topic.
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