  Statistics and data science are especially collaborative disciplines that
typically require practitioners to interact with many different people or
groups. Consequently, interdisciplinary collaboration skills are part of the
personal and professional skills essential for success as an applied
statistician or data scientist. These skills are learnable and teachable, and
learning and improving collaboration skills provides a way to enhance one's
practice of statistics and data science. To help individuals learn these skills
and organizations to teach them, we have developed a framework covering five
essential components of statistical collaboration: Attitude, Structure,
Content, Communication, and Relationship. We call this the ASCCR Frame. This
framework can be incorporated into formal training programs in the classroom or
on the job and can also be used by individuals through self-study. We show how
this framework can be applied specifically to statisticians and data scientists
to improve their collaboration skills and their interdisciplinary impact. We
believe that the ASCCR Frame can help organize and stimulate research and
teaching in interdisciplinary collaboration and call on individuals and
organizations to begin generating evidence regarding its effectiveness.

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