Managing and Curating Undergraduate-Generated Qualitative Data

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Presentation transcript:

Managing and Curating Undergraduate-Generated Qualitative Data Peter Rogers Colgate University Libraries Hamilton, NY

Outline Project context and goals Project preparation Working with sociology seniors Afterwards

Project Context “Technological Innovation” part of university strategic plan Mellon Technology and Teaching Grants Qualitative Data Analysis Laboratory and Archive Large Sociology and Anthropology Dept. Emphasis on undergraduate research opportunities Library expanding into Research Data Services

Pedagogical Goals Sociology Faculty Librarian Students Make use of previously collected student data Librarian Learn data management Students Don’t do any more work than absolutely necessary

Archiving Options Colgate Digital Commons

ICPSR Institutional/Journal openICPSR Still under development

Colgate Libraries and/or IT build our own

The Answer!

Too Many “Dataverses”! Harvard Dataverse Network Other Dataverse Networks Open-source build your own Dataverse Network consists of multiple user-created Dataverses

Harvard Dataverse Upside Documentation Templates for data deposit Someone else responsible for maintenance Free ( up to 1 TB)

Harvard Dataverse Downside Somewhat rigid format No long-term guarantee or control You get what you pay for

The Data Management Plan Damn librarians! Dataverse NSF-conforming data template Archives and Special Collections assistance Multiple types of data = Multiple file types for preservation Lora says “Hi”

The IRB Concerns about future access to sensitive data Changes to informed consent forms Anonymization of archived data Access to data goes through me or sociology faculty

Making Friends Haverford College TIER

Teaching Students Seen as extra work No previous instruction, experience, etc. with data management

Data Types Texts News stories Interviews Images Advertisements

Data Deposit Goal is ability to replicate and/or build upon study with data and documentation provided

Cataloging Data

Student Permission Forms? Do in advance next time

Curating the Data R&I student as Dataverse Curator Fixing abstracts Annonymization concerns Codebook, what’s a codebook? Isabel says “Hi”

Lessons Learned Basic concept sound but . . . Importance of institutional context Need better alignment of everyone’s goals and objectives Would be good to introduce data management earlier in students’ courses of study Teaching faculty support essential Need to educate non-data people about essentials of data management

And they all live happily ever after! Questions, comments, abuse?