Dorcas Washington takes on new role of data analytics specialist on the Research and Data Services Team

dorcas washingtonDorcas Washington, formerly content analyst on the Content Services Team, has transitioned to the new role of data analytics specialist on the Research and Data Services (RDS) Team.

In her new role, Dorcas will provide leadership and expertise in the areas of quantitative and qualitative data analysis, as well as play a leading role in developing and executing a research reproducibility support program across disciplines. Dorcas holds a BA in mathematics, an MS in applied statistics with a concentration in bio-statistics and has recently been accepted into UC’s PhD program for environmental health: bio-statistics. In her new role, she will be able to utilize her knowledge and skill set to its fullest and to build upon her experiences gained as a member of the Content Services Team.

As data analytics specialist, Dorcas will be responsible for:

  • Leading library services related to the evaluation, manipulation and visualization of data and the use of statistical tools
  • Developing and delivering scalable research and data-related services and resources in collaboration with RDS, with the Digital Scholarship Center, and others as appropriate
  • Leading the development and implementation of consultation and instruction services for statistical and analytical methods
  • Promoting best practices for ethical and reproducible data production, analysis and dissemination
  • Developing and coding executable programs to automate processes to perform computational inquiries
  • Co-managing Informatics Lab operations within the Donald C. Harrison Health Sciences Library.

“I look forward to getting back to my roots of mathematics and statistics by utilizing those skills to help people further research at UC,” said Dorcas. “This position interested me because it’s doing work I enjoy with a diverse group of people (students, faculty, staff and more).”

Those interested in services, should contact RDS via e-mail askdata@uc.edu.

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