data science education resources for everyone

Data science education resources for everyoneNicole Vasilevsky, Jackie Wirz, Bjorn Pederson, Ted Laderas, Shannon McWeeney, William Hersh, David A. Dorr, Melissa Haendel

Oregon Health & Science University

MLA/PNC 2016

The problem

Major challenge: how to manage, analyze and interpret vast amounts of data being generated in biomedical research

One goal of NIH Big Data to Knowledge (BD2K) initiative: provide training for students and researchers to address this

Research team in the Library and Department of Medical Informatics and Clinical Epidemiology (DMICE) is developing skills courses and open educational resources (OERs)

http://whelf.ac.uk/activity-data-delivering-benefits-from-the-data-deluge/

Our Approach

Skills courses and OERs connect the dots that help researchers understand how to apply data science techniques in the context of their whole research life cycle

Skills courses and OER topics are aimed to fill specific gaps

BD2K Skills Courses

Taught by BD2K Faculty, Post-doc and Staff In person format Targeted to a variety of

students

Defining The Problem Wrangling Data

Data Identification And Resources

Problems amenable to analytics Importance of question Team definitions Scope When we do this wrong: methods don't match

Finding the right data Search methods

Use of metadata Data management

Exploratory Data Analysis Data Dictionary As you touch data, what can go wrong?

Methods, Tools And Analysis Scientific Communication

Visualization Matching algorithms to problems

… Reporting Findings and Limitations Giving “Elevator Speech” on ideas of how to

approach problem Critique of related problem

Course OfferingsCourse Length Who WhatWhen

Intro Course Week long course (~40 hrs)

July2015

Interns and undergraduates

Taught basics of data science in the context of the research life cycle

Data After Dark 2 evening course (4 hrs/nt)

January 2016

OHSU students, staff and faculty

Emerging data science activities/research impact

Data and Donuts 2 morning course (3 hrs/day)

June 2016

OHSU Summer interns

Basics of data science

Advanced Course 4 evening course (2 hrs/nt)

May 2016

OHSU students, staff and faculty

Hands on Data viz / Data wrangling

Data and Donuts West

4 hour courseJuly 2016

OHSU summer interns (West Campus)

Basics of data science

Evaluation of Skills Courses

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Evaluation Summary from Beginnner Students

Beginner Percent 6 & 7 Beginner Percent 3, 4 & 5Beginner Percent 1 & 2

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Evaluation Summary from Advanced Students

Advanced Percent 6 & 7 Advanced Percent 3, 4 & 5Advanced Percent 1 & 2

The instructors clearly presented the skills to be learned

The instructors presented content in an organized manner

The instructors effectively presented concepts and techniques

What is available in the modules?

Module Overview Online viewing Powerpoint files Audio files

Exercises References Resources

MLA- Professional Competencies For Health Sciences Librarians

https://dmice.ohsu.edu/bd2k/mapping_MLA.html

Competency #1Understand the health sciences and health care environment and the policies, issues, and trends that impact that environment

BDK02 - Introduction To Big Data In Biology And MedicineBDK03 - Ethical Issues In Use Of Big DataBDK07- Team Science

Competency #3Understand the principles and practices related to providing information services to meet users' needs

BDK10 - Information RetrievalBDK22 - Guidelines For Reporting, Publications, And Data Sharing

Competency #4Have the ability to manage health information resources in a broad range of formats

BDK09 - Publication And Peer ReviewBDK12 - Data Annotation And CurationBDK14 - Ontologies 101BDK15 - Data Metadata And Provenance

Competency #5Understand and use technology and systems to manage all forms of information

BDK10 - Information RetrievalBDK12 - Data Annotation And CurationBDK13 - Data and tools landscapeBDK14 - Ontologies 101BDK26 - Introduction to Semantic Web data

Competency #6Understand curricular design and instruction and have the ability to teach ways to access, organize, and use information

BDK21 - Hosting Data Dissemination And Data Stewardship Workshops

Competency #7Understand scientific research methods and have the ability to critically examine and filter research literature from many related disciplines

BDK07- Team ScienceBDK18 - Visualization And InterpretationBDK19 - Replication, Validation And The Spectrum Of Reproducibility

BDK01 - Biomedical Big Data Science

BDK04 - Clinical Data And Standards Related To Big DataBDK05 - Basic Research Data Standards

BDK04 - Clinical Data And Standards Related To Big DataBDK05 - Basic Research Data Standards

Challenges

Scope

Images

Style

Dissemination

How to scope generic curricula for different levels of users

How to translate diverse teaching styles into general materials

How to maximize dissemination while protecting intellectual property

How to incorporate images and other copyrighted materials into open resources

Who are these resources for? EVERYONE!

thenounproject.com

Undergraduate Students

Graduate Students

Clinicians Post-docs

Librarians Staff Faculty

Help review our modules:https://dmice.ohsu.edu/bd2k/topics.html

Acknowledgements

Bill Hersh, PI Melissa Haendel, PI Shannon McWeeney, PI David Dorr, PI

Ted Laderas,Instructor

Jackie Wirz,Instructor

Nicole Vasilevsky,Instructor

Bjorn Pederson, Instructional Designer

This work is supported by NIH Grants 1R25EB020379-01 and 1R25GM114820-01.

You can find me at:@[email protected]

Thanks!

data science education resources for everyone

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