To help Chemistry 1A Lab students complete their research projects, I made a video guide for finding chemical information at the Chemistry Library.
There are 6 close-captioned videos on:
Gave a guest lecture on data management literacy issues and the professional implications for library and information professionals.
This talk was for LBSC 670 Information Organization at the University of Maryland, College Park and was based on prior presentations on data management for librarians.
2012 LITA National Forum Concurrent Sessions presentation
October 7, 2012
Columbus, Ohio
Abstract
Research is increasingly collaborative and distributed (e.g., e-research/science, multi-institution work, international collaborations). In order to support this work, new tools, data collection approaches, and data analysis processes are required to support collaborations among researchers. While data publishing and curation is an important piece of this work, providing support for the shared data collection and collaborative analysis as part of the research process is of growing importance. As libraries expand their support of research and data curation activities, having a good understanding of the issues, technologies, and competencies required is important to developing successful programs.
This presentation will explore the technologies, processes, and literacies required to conduct distributed and collaborative research through the case study of a minimally-funded, mixed-methods research project conducted by the presenters. In order to complete this research project, the presenters had to plan for data management, curation, and publication needs in a collaborative and distributed manner during the planning, data gathering, data analysis, and publication activities. The presenters will discuss the needs, challenges, and solutions that emerged during this process. This case study brought to light important data management elements to plan for and served as a platform for exploring tools and technology literacy elements.
A discussion of data management tools will include 1) Survey platforms such as Qualtrics (http://qualtrics.com); 2) Data analysis tools – including dedoose (http://dedoose.com), reframe (http://getreframer.com) and knowdoo (http://knowdoo.net); 3) Collaboration tools; 4) Quantitative data analysis platforms including Google Refine (http://google.com/refine) and Amazon AWS tools; 5)Data sharing and curation tools including Dropbox (http://dropbox.com) and Box.net (http://box.net) and 6) Data publishing platforms including IPCSR (http://http://www.icpsr.umich.edu/). Finally, there will be a discussion of the implications for research and data management literacy programs in libraries including the presentation of a curriculum developed at UC Berkeley Library to support these activities.
Here’s the latest instructional workbook for the Chemistry 108 library session – a 4-hour session for undergraduate Chemistry students. (Download a copy from here.)
For this year’s orientations for incoming graduate students, a handout of the top tips for using the Chemistry Library.
This training class for Library personnel at UC Berkeley was held on August 6, 2012. The goals of the class were to identify the data management questions our patrons may have and then explore ways to help them find answers with a focus on UC tools.
Here are the class website, handout, and advertisement.
Download the presentation slides with speaker’s notes.
For the ALA Emerging Leaders 2012 program, my team members and I worked on Librarians Build Communities, a program to connect librarians with libraries and community organizations in need of skilled volunteers in order to form meaningful volunteer opportunities and to improve awareness of the expertise librarians possess.
This ALA poster presentation (of June 22, 2012, ALA Annual in Anaheim) summarizes our project.
Download a copy of our poster.
Instructional materials and worksheet for undergraduate research students at the Green Science Policy Institute.
For the CAL Prep senior students’ College Week at Berkeley, I taught a class on data and visualization.
This class examined the value of raw data (by exploring the data to information to knowledge to wisdom hierarchy) and we had a hands-on activity with data visualizations through the Google Public Data explorer. Here is the exercise worksheet and handout.
Held on May 8, 2012 for 42 students.
Download presentation slides with speaker’s notes.
Download the handout.
A presentation for the Responsible Conduct of Research Seminar Series at UC Berkeley on April 16, 2012.