Program Overview

Streaming Media

Start Date

6-4-2016 10:30 AM

Description

Researchers are under increasing pressure to manage, organize, describe and document their data in ways that enable others to discover, understand and reuse their work. However, the knowledge and skills needed to be successful in these tasks are not often a part of a student's education in college or graduate school. Librarians have an opportunity to address this gap in student's education through developing data literacy programming, but developing effective data literacy programs can seem daunting.

This session will introduce students to a model for creating data literacy programming developed as a part of the Data Information Literacy project. We will begin by reviewing the findings from interviews conducted with faculty and students at four universities. We will then walk through the DIL model step by step. Finally, participants will work through case studies to explore potential opportunities and generate possible approaches to offering data literacy programs.

Jake Carlson is Research Data Services Manager, University of Michigan.

Keywords

data information literacy

Comments

Scenarios exercises for various subject disciplines are available under "Additional Files."

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.

Carlson_DILSymposiumExercise_Chemistry_20130918.pdf (82 kB)
Program Development Exercise: Physical Sciences / Chemistry

Carlson_DILSymposiumExercise_Engineering_20130918.pdf (94 kB)
Program Development Exercise: Engineering

Carlson_DILSymposiumExercise_Interdisciplinary_20130918.pdf (104 kB)
Program Development Exercise: Interdisciplinary Center

Carlson_DILSymposiumExercise_LifeSciences_20130918.pdf (82 kB)
Program Development Exercise: Life Sciences

Carlson_DILSymposiumExercise-SocialSciences_20130918.pdf (87 kB)
Program Development Exercise: Social Sciences

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Apr 6th, 10:30 AM

Data Information Literacy: Developing Data Information Literacy Programs

Researchers are under increasing pressure to manage, organize, describe and document their data in ways that enable others to discover, understand and reuse their work. However, the knowledge and skills needed to be successful in these tasks are not often a part of a student's education in college or graduate school. Librarians have an opportunity to address this gap in student's education through developing data literacy programming, but developing effective data literacy programs can seem daunting.

This session will introduce students to a model for creating data literacy programming developed as a part of the Data Information Literacy project. We will begin by reviewing the findings from interviews conducted with faculty and students at four universities. We will then walk through the DIL model step by step. Finally, participants will work through case studies to explore potential opportunities and generate possible approaches to offering data literacy programs.

Jake Carlson is Research Data Services Manager, University of Michigan.

 

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