Xiaomei Gu Shawn Averkamp Nicole Saylor Linda Walton

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This project has been funded in whole or in part with Federal funds from the Department of Health and Human Services, National Institutes of Health, National.

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Presentation transcript:

Xiaomei Gu Shawn Averkamp Nicole Saylor Linda Walton Developing and Administering a Campus-wide Survey – A First Step in Assessing Data Management Needs Xiaomei Gu Shawn Averkamp Nicole Saylor Linda Walton

Data management needs assessment across campus Web-based survey Face-to-face interviews

Health Sciences Clinical Education Librarian Data Services Librarian Mention Nicki

Let’s Talk Data Reading Collaboration Data management Research methods Zotero group Face-to-face meetings Email, chat, phone

Let’s Talk Data

Screenshots from http://www. tumblr Screenshots from http://www.tumblr.com/tagged/institutional-review-board Accessed Sep 20, 2012.

Questionnaire Types of Questions 13 questions One open-ended One to identify participants for future interviews Types of Questions Sensitive/confidential Types of data Funding agencies DMP requirement Assistance /guidance Data storage/sharing

Pretesting Qualtrics software https://uiowa.qualtrics.com/SE/?SID=SV_eIKUbETb5AVPOZK Pretested by several researchers from multiple disciplines

Pre-notification Emails to Deans Internal Announcements June 26, Tuesday ITS All Faculty & Staff Listserv August 28 (week 2 of Fall): Reminder Sep 18: Closed

Responses 786 responses (21,368 addresses) 181 agreed to be interviewed 45% responded on June 26 (open) 33% responded on August 28 (reminder) 784 responses 136 clicked through and did not answer a single question

Next Steps Analyze survey results Write a survey report Designing interviewing methods Selecting interviewees Etc.

Acknowledgement Survey participants NLM Grant This project has been funded in whole or in part with Federal funds from the Department of Health and Human Services, National Institutes of Health, National Library of Medicine, under Contract No. HHSN-276-2011-00005C with the University of Illinois at Chicago.

Questions Xiaomei-Gu@uiowa.edu Data" is any recorded material necessary to validate your research findings. This is often numeric, tabular data, but it can also be textual data, images, audio/video files, or even artifacts.