Data Scientifique fosters data science initiatives among researchers
Our mission is to help researchers develop and strengthen their analytical, computational, & programming techniques to facilitate health knowledge mobilization.
Data Scientifique offers opportunities for researchers to leverage advances in data management/integration, quantitative statistical methods, and data visualization through Educational Workshops, Enrichment Awards, and Data Clinic. Data Scientifique is a professional development catalyst for faculty, post-docs, and graduate students. Resources include tools to optimize research collaboration, archival data repositories, and open-science initiatives.
In September 2015, Data Scientifique was founded by Jennifer J McGrath, PhD MPH (PERFORM Chair, Childhood Preventive Health & Data Science) and Muhammed Idris, PhD (former PERFORM Postdoctoral Scholar, current TED Resident: www.ted.com/speakers/muhammed_idris). Housed within the PERFORM Centre, in February 2018 Data Scientifique expanded with a satellite office in the Vanier Library to make data services and workshops accessible to the wider community. Since January 2019, Data Scientifique is under the direction of Jennifer J McGrath, PhD MPH and Yara Abu Awad, ScD MS MBA (current PERFORM & Horizon Postdoctoral Scholar).
Data Scientifique offers opportunities for researchers to leverage advances in data management/integration, quantitative statistical methods, and data visualization through Educational Workshops, Enrichment Awards, and Data Clinic. Data Scientifique is a professional development catalyst for faculty, post-docs, and graduate students. Resources include tools to optimize research collaboration, archival data repositories, and open-science initiatives.
In September 2015, Data Scientifique was founded by Jennifer J McGrath, PhD MPH (PERFORM Chair, Childhood Preventive Health & Data Science) and Muhammed Idris, PhD (former PERFORM Postdoctoral Scholar, current TED Resident: www.ted.com/speakers/muhammed_idris). Housed within the PERFORM Centre, in February 2018 Data Scientifique expanded with a satellite office in the Vanier Library to make data services and workshops accessible to the wider community. Since January 2019, Data Scientifique is under the direction of Jennifer J McGrath, PhD MPH and Yara Abu Awad, ScD MS MBA (current PERFORM & Horizon Postdoctoral Scholar).
DATA SCIENTIFIQUE STUDENT ENRICHMENT AWARDS
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Data Scientifique invites applications for competitive awards for graduate students and postdoctoral fellows at the nexus of data science and health.
Data Scientifique Enrichment Awards provide financial support (up to $500) for awardees to attend events, workshops, or conferences: 1) To develop technical skills in one of the four data science areas (i.e., data management, statistics, programming, data visualization), or 2) To mobilize research knowledge about health or preventive health showcasing open-access data or data science techniques. |
Students must complete application form & submit with CV and transcript for consideration of award.
Spring Competition
Application deadline: May 31, 2019 |
Data Clinic
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Have quick questions about statistics? Cannot figure out errors in your R code? Have ideas about a data graphic, but don't know where to start? Want to learn more about how to apply big data approaches to your research? Set up an appointment with Data Clinic for free technical advice and support.
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Office Hours: Monday 12 to 2 pm in Vanier Library room VL 301.41
Open Clinic is at the Data Scientifique Lab, PERFORM Centre PC 2.302 or Vanier Library VL 301.41
You can set up an appointment by contacting us at [email protected]
Open Clinic is at the Data Scientifique Lab, PERFORM Centre PC 2.302 or Vanier Library VL 301.41
You can set up an appointment by contacting us at [email protected]
Educational Workshops
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Advanced Functions in R
R is becoming an increasingly popular coding language used by researchers for the most complex data analysis tasks. In order to tap into the true power of R, some more advanced knowledge of R functions is required. These functions allow users to optimize code for repetitive tasks, reduce coding mistakes, improve reproducibility and save time. For example, it is possible to import a thousand files or run a thousand regressions using one line of code! In this workshop, the following topics will be covered: - Session I: The apply family of functions - Session II: Writing loops Learning Objectives: In this workshop participants will: 1. Use the tapply function to perform several functions by factor levels 2. Use the lapply function to import multiple files 3. Use the lapply function to run multiple regressions and generate multiple plots 4. Convert a list type of object to a data frame while retaining original information 5. Write a loop Requirements: Participants will need to bring their own laptop with R (version 3.4 or above) and Rstudio installed. Advanced R knowledge is required. Instructor: Dr. Yara Abu Awad Seats limited; Registration required Dates Available: Tuesdays: March 24 & 31, 2020 from 17:00 to 19:00 @ SGW-LB207 |
Future Workshops
- Meta Analysis - May 1st - Data Management in R - Advanced Functions in R - Missing Data & Multiple Imputation - Tri-Council Open Access Requirements - Research Management - Grantsmanship - Project Coordination - Data Visualization & Interactive Graphics - Introduction to Python - Productive Research Writing 
We welcome suggestions for future workshops and collaborating with other researchers, groups and labs in designing and hosting similar educational programs. Contact us [email protected] |
Meet the Instructors
Yara Abu Awad, ScD MS MBA, is a Harvard University trained epidemiologist with expertise analyzing big data by applying causal inference methods and machine learning techniques using R. Her engaging and dynamic style make her an exceptional workshop instructor who makes R accessible to those who are curious.
Resources
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CONCORDIA UNIVERSITY
Montreal, Quebec
This initiative is made possible due to the generous support of Concordia University Research Chairs Program, awarded to Dr. McGrath.
Data Scientifique logo image credit: Paul Rand, Abacus, 1946; Thoughts on Design.
Data Scientifique logo image credit: Paul Rand, Abacus, 1946; Thoughts on Design.