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Effective Collaboration and Team Science
An increasing body of behavioral and neuroscience research involves broad interdisciplinary teams or multiple investigators in order to accomplish the goals of the project and to collect sample sizes sufficiently large to answer complex questions. This kind of work necessitates a team science collaborative approach that is often very different than the “individual investigator” model under which many of us trained. This presentation will highlight several areas where challenges can occur, and discuss ways to proactively structure the collaboration to try to avoid these pitfalls. A first major challenge area is structuring effective decision making processes and handling differences of opinion in scientific direction among the investigators. This is often the most difficult aspect of team science and best dealt with by developing clear and transparent practices at the start of a collaboration that can be used when disagreements occur. A second challenge area is in regards to publication and authorship, and this presentation will discuss models for setting up a priori agreements about authorship models and criteria for justification of authorship. A third challenge area is in regards to data sharing, and we will discuss models for agreements in regards to sharing data both within and outside the collaboration.