Program Session

6 - Development of Data Science Education Resources for Use by Anyone, Anywhere

Tuesday, May 30
3:30 PM - 3:35 PM
Room: 611

Objectives: A current trend in medical libraries is how to help scholars and patrons engage with ‘big data’, or data whose size or complexity confounds usual analytics. Oregon Health & Science University is working on two efforts to provide access to ‘big’ data science education by holding skills courses and developing Open Educational Resources (OERs) for use by anyone.

Methods: This project took a two-pronged approach: 1) to offer skills courses in an in-person learning format to diverse audiences, from beginner to more advanced students, including librarians, graduate students, clinicians-in-training, post-docs, staff and faculty; and 2) to develop OERs that include slide decks, video tutorials, exercises, and recommended readings (available at: https://dmice.ohsu.edu/bd2k/). The courses and OERs cover a variety of topics including problem description, data set discovery, preparation and creation of data sets, implementation of analytic techniques, ethics, and effective communication. The OERs are designed to be remixed and reused by users - be it professionals or novices. To demonstrate utility for the library community, we mapped the topics in the OERs to the professional competencies outlined by the Medical Library Association. Feedback for the skills courses and OERs were collected by online evaluation forms.

Results: To date we offered five in-person skills courses, taught in a variety of ways, from a one week intensive, 2-4 evenings, and half-day sessions. Evaluations and feedback from the skills courses were positive, with weaknesses in areas of engaging the students in discussion, providing a balance between instruction and practice, and creating content that is appropriate for the stated level of the class. The OERs cover 20 topics, and are freely available online for educators and learners who can use them “out of the box” or adapt them for their own purposes, such as use by librarians to help satisfy data sharing, data rigor, or reproducibility requirements. These modules address several of the professional competencies outlined by the Medical Library Association and a mapping is available on our website (https://dmice.ohsu.edu/bd2k/mapping_MLA.html).

Conclusion: The ultimate goal of these training opportunities is to educate diverse learners as data scientists - including librarians - in order to improve best practices in training future scientists and, ultimately, knowledge discovery. We encourage librarians to use or repurpose these materials for educational purposes, such as in continuing education or professional development or for dissemination to instructors in various fields.

Keywords: data science, open educational resources, skills courses, curriculum development, educational opportunities, big data, training



Program Session

Nicole Vasilevsky

Biocurator/Research Assistant Professor
OHSU Library/Ontology Development Group
Portland, OR

Nicole Vasilevsky, PhD, Biocurator, Oregon Health & Science University, Portland, Oregon.

Nicole is a biocurator and ontologist for the Ontology Development Group in the OHSU Library. She participates in a variety of projects including the OHSU Big Data to Knoweldge (BD2K) projects that aim to train researchers and librarians in data science, by offering in-person skills courses and developing Open Educational Resources. She does biocuration and ontology development for the Monarch Intitiative, a tool that provides integrated acccess to phenotype data for model organisms and systems, for the purpose of human disease hypthesis exploration. Her interests are in biomedical data curation, biomedical ontology development and efforts to promote open science and scientific reproducibility.

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Jacqueline Wirz

Assistant Dean
Oregon Health & Science University/Office of the Dean
Portland, Oregon

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Bjorn Pederson

Instructional Designer
OHSU/Department of Medical Informatics and Clinical Epidemiology
Portland, Oregon

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Ted Laderas

Post-doctoral Research Fellow
OHSU/Department of Medical Informatics and Clinical Epidemiology
Portland, Oregon

My research focus is on the Systems Biology of Complex Diseases. I use integrative modeling approaches across OMICs types to achieve this. I am also passionate about teaching students to think about data, and have taught Data Science to a variety of groups, including graduate students, post-docs, staff, and clinicians.

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Shannon McWeeney

Associate Director, Translational Bioinformatics
OHSU/Department of Medical Informatics and Clinical Epidemiology
Portland, Oregon

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Bill Hersh

Professor and Chair
OHSU/Department of Medical Informatics and Clinical Epidemiology
Portland, Oregon

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David Dorr

Associate Professor and Vice Chair, Clinical Informatics
OHSU/Department of Medical Informatics and Clinical Epidemiology
Portland, Oregon

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Melissa Haendel

Associate Professor/Director of the Ontology Development Group
Oregon Health & Science University Library
Portland, Oregon

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