I know that most [people], including those at ease with problems of the greatest complexity, can seldom accept even the simplest and most obvious truth if it be such as would oblige them to admit the falsity of conclusions which they have delighted in explaining to colleagues, which they have proudly taught to others, and which they have woven, thread by thread, into the fabric of their lives. --  Leo Tolstoy
Chapter 2: Discussion and Reflection Questions
8. Are issues in Patís lab regarding collaboration -- such as trust, accountability, fairness, and collegiality -- ethical issues? Moral issues? Legal issues?
9. Identify two to three topics you think are central to the training that graduate students, post-docs, and faculty should receive on authorship and data ownership.
Research Ethics
Chapter 2: The Nervous One
Discussion and Reflection Questions
Integration Questions
References and Resources

This chapter addresses collaborative science, including authorship and data ownership. Upon your completion of this chapter, we hope that you can identify essential criteria for determining authorship and credit as well as responsibilities of co-authors to their collaborators and the larger scientific community. We also want you to learn about sound data management and ownership practices.

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