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data-science-tenure

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Making data science tools count toward tenure 👩‍🏫👨‍🏫

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# data-science-tenure

## [Resources](resources)

+ Waller LA. 2017. [Documenting and evaluating Data Science contributions in academic promotion in Departments of Statistics and Biostatistics](resources/peerj-preprints-3204.pdf). PeerJ Preprints 5:e3204v1 https://doi.org/10.7287/peerj.preprints.3204v1

*In the 1990s, Ernest Boyer of the Carnegie Foundation for the Advancement of
Teaching articulated the value of different types of interdisciplinary
scholarship in his highly cited Scholarship Reconsidered: Priorities for the
Professoriate (latest, expanded edition: Boyer et al. 2016). This report, very
familiar to university administrators such as deans, provosts, and presidents,
but often less well known by junior faculty, highlights the value of multiple
types of faculty contributions within academia, specifically noting four types
of scholarship. The first, scholarship of discovery, mirrors the standard
disciplinary model of original research advancing knowledge within a field,
often evidenced by peer reviewed publications in established disciplinary
journals and success in obtaining competitive research funding. A second type,
scholarship of integration, recognizes innovative synthesis of information
across traditional disciplines, across subdivisions within a discipline, or
across time. Such scholarship creates new knowledge through novel links between
specific concepts, tools, and studies from disparate fields of inquiry. Boyer's
third type, scholarship of application (sometimes called scholarship of
engagement), goes beyond simply applying existing tools (as would a technician)
to value the deep collaborative contributions in creating advances in
interdisciplinary studies, particularly within a team science framework. The
fourth type, scholarship of teaching and learning, values the systematic study
of pedagogical methods for the transfer and creation of new knowledge between
faculty members, colleagues, and the next generation of scholars.*

*These four categories provide rich support for many current efforts within the
field of Data Science and its link to academic departments of Statistics and
Biostatistics and topics for the continuing critical conversations between the
chair, the candidate, and senior faculty. The four types of scholarship also
provide a context for collecting, presenting, and reviewing scholarly
contributions of junior faculty. The concept of the scholarship of integration
is immediately extensible to Data Science, particularly with respect to linking
heterogeneous data components and developing new analytic tools, hence enabling
new lines of inquiry. Documentation of such contributions within a promotion
dossier is somewhat non-traditional and may include citable data within
repositories and software packages/toolboxes in addition to peer-reviewed
publications and funded grants. The scholarship of application is evidenced by
interdisciplinary publishing, the creation of data repositories and complex data
sets, and clear contributions unique to the candidate within an
interdisciplinary team. Data Science research contributions often are linked
deeply to the intersection of Boyer's scholarships of integration and
application, and it will be advantageous to highlight the impact of these
contributions within this context.*

*The rapid development of training programs, concentrations, and degree programs
within the area of Data Science offers multiple opportunities for the
scholarship of teaching and learning. Success in this area extends well beyond
simply teaching new courses and advising students, it involves research and
discovery on the modes and methods of instruction and learning, an area of clear
interest in the statistical education research community, but only just
developing in the broader area of Data Science (National Academies 2014).*

*Boyer's categories provide a valuable framework for organizing and presenting a
candidate's scholarly contributions for review. The candidate can organize
materials under Boyer's categories in the CV, and mention them in their Personal
Statement. A department chair can frame contributions in light of discovery,
integration, application, and teaching to external reviewers and when presenting
a candidate's promotion for consideration by senior faculty and promotion
committees. Senior faculty can use Boyer's categories as a lens through which to
view accomplishments and assess impact of a candidate's scholarly work.*

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