Which of the following is NOT a core tenant of critical data studies? Technology is never as neutral as it appears ○ Never clean your data, to avoid bias More data isn't always better Situate data in time and space

Based on this article entitled as "Own Data? Ethical Reflections on Data Ownership" by Patrik Hummel, Matthias Braun, & Peter Dabrock. By reading the article, answer the following question: 1. Articulate what is research topic, purpose and objectives of the study?​ 2. Identify what the research gap discuss in the study?​ 3. Discuss the theory and concept of the study.​ 4. What are the method used in this study​ 5. What are the main findings of the study​ 6. What are the implications of the research findings for theory, practice or policy?​ 7. Is there a limitation or weaknesses of the study?​ 8. Are there any unresolve questions or areas for future research identified in the study?​ 9. What are the learning gains of this study to your profession?​ 10. Present the summary of this study?

Who is a data scientist, and what do they do? Is there a certain course of study or set of skillsets one must acquire to enter the field of data science?

The processes used to complete a data science project vary in their number of steps and functions, but in the end, the objectives and outcomes are similar. Research on the Web to identify what you believe to be the set (version) of steps that you'd use to complete a Data Science project. You should find versions with 5, 7, 9, 11, 12, or more steps. If you choose a particular set of steps, cite your source and explain why you would use that approach. If you wish, you can develop your own approach, drawing on the research, if you think there may be a better way. As you get deeper into Data Science, in subsequent courses, you should learn the validity of your approach. List the steps of your approach, cite its source, and provide an explanation of why this particular approach would work best for you.