Established 2014

Categorized | Annual Conference, Events

SLA 2018 Data Caucus Events and more

Data Caucus Reception
Sunday, June 10, 2018
7:00-8:00PM

The Data Caucus Reception is a time for members to get together and network in a festive atmosphere.

You must register and/or RSVP to attend ticketed events. Details on how to register for ticketed events can be found here.

Sessions

Tuesday, June 11, 2018

“Data Rescue: What Is Happening to Environmental Datasets?”
9:00-10:00AM

The European Union and the United States now have mandates to share research data; in other words, any data resulting from research supported by the government must be archived to permit their use by other researchers and the public. What about all the research data collected before these mandates-In print and electronic? In ecology and environmental sciences, “longitudinal” or “old” data are especially important. Researchers in these areas need to know what happened in the past to determine what changes are happening now and project what may happen in the future. Come learn about data rescue of government and non-government environmental data and how librarians and citizen scientists are coming to the rescue.

“Data Management, Data Analysis, and Visualization using Excel”
9:00-10:00AM

Almost everyone uses Excel, and almost everyone can use some help with data management. This session will focus on best practices for making your own spreadsheets more usable by others, and techniques for cleaning up imported data. We will cover some of the data analysis capabilities of Excel and some visualization options, along with pitfalls to avoid. Attendees will learn how these techniques can be applied to the analysis of journal usage and citation statistics. This session is for those who already know how to use formulas and can apply basic math functions in Excel.

“Data Management Planning: Case Studies”
3:30-5:00 PM
This hands-on session will cover aspects of data management planning including types of data, responsibilities for/ownership of data, backup, storage, and preservation. Cases will be used to highlight various aspects of data. Participants will reverse engineer a data management plan (DMP) for the projects that might have generated the data. No prior knowledge of data management planning is required. The participants should be able take the knowledge they gain from this session to help patrons develop their DMPs.

CE Courses

Sunday, June 10, 2018

“Library Carpentry: Building Skills for Data Savvy Librarians”
Full Day (9:00 AM – 4:30 PM)

CE Class: Library Carpentry is a volunteer community of instructors and lesson developers who teach workshops using crowdsourced, open access lesson materials and according to the Software Carpentry pedagogy. Library Carpentry is made by librarians (informed by Software Carpentry and Data Carpentry) for librarians to: 1. better understand the use of software in research; 2. create, maintain and/or analyze sustainable and reusable data; 3. automate repetitive, error-prone tasks; 4. work effectively with IT and systems colleagues. Power searchers know how to use operators, wildcards and truncation; however, those techniques have been database-specific or software-specific. Library Carpentry teaches you how to harness the power of similar functions and apply them to textual data, any body of text, regardless of size. Workshop attendees will learn to: 1. Understand benefits, how to work with, and how to clean data using command line, Bash/Shell, and OpenRefine; 2. Recognize how regular expressions can be applied to investigate bodies of text and applied to research in competitive intelligence, business, legal, as well as academic contexts; 3. Access a platform for further self-directed learning and an active community of fellow learners.

Pricing: $225 for SLA members / $415 for non-members

“Introduction to Data Analysis and Visualization with R”
Half Day (8:00 AM – 12:00 PM)
Information Technology Division

CE Class: Librarians increasingly need data literacy skills to be successful in today’s data-intensive information environment. Many users within the scientific community are turning to R for their data analysis, organization, and visualization needs. R is a free and open source scripting language that provides users ways to work with data in highly customized ways to accomplish tasks that would be difficult or impossible with point-and-click software like Excel. R is easy to learn, even if you’ve never written a line of code before, and is a great way for librarians to get started with working with their own data, or assisting their patrons with their data needs. Many scientific researchers have embraced R as a simple and effective solution for their data needs, and librarians who provide support for such groups will find it useful to be conversant in using R. Librarians who can master R and provide training for their patrons will undoubtedly find that their skills are much sought-after; the instructor for this CE course offers monthly R workshops and has trained hundreds of researchers at her institution. Even after a year of providing these monthly workshops, classes continue to have waitlists of dozens of researchers who want to learn. Librarians may find also R helpful in working with their own data, including bibliometric data, library stats, or budget data.

Pricing: $125 for SLA members / $200 for non-members

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