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Introduction to Narrative Reviews

This workshop introduces narrative reviews as a method for summarizing and synthesizing scholarly literature. Participants will learn what defines a narrative review, when it is an appropriate approach, and how to complete one by identifying a topic, searching for relevant literature, organizing sources, and clearly presenting findings.

How to do a Basic Literature Review

Literature reviews play an important role in medical literature. They are a required part of many dissertations, are often assigned as coursework, and can be published articles. The workshop teaches the key aspects and necessary steps of completing a basic literature review. It also discusses different kinds of literature reviews and their purposes. 

PsycINFO Essentials

PsycINFO is a comprehensive database produced by the American Psychological Association that serves as a premier resource for the behavioral and social sciences. This workshop introduces key features of PsycINFO for effective searching. Participants will learn how to build a search in PsycINFO using features including subject terms, field codes, limits, and other features.

Reading a Research Paper: Tips & Tricks

Finding and analyzing article abstracts is a core research skill. Being able to understand and utilize research is necessary for everyone working in the medical profession. This presentation will focus on the basic principles of reading a research paper, tricks for identifying study designs using abstracts, and common mistakes and misconceptions.

Mastering Effective Question and Search Term Development

This workshop equips participants with key methods for developing precise questions and search terms. Attendees will learn practical techniques to enhance information retrieval to boost information retrieval, sharpen research accuracy, and achieve better outcomes when searching for literature. AI tools will be discussed.

CINAHL Essentials

This workshop introduces key features of CINAHL (Cumulative Index for Nursing and Allied Health) for effective searching. Participants will learn how to build a search in CINAHL using features including CINAHL subject headings, field codes, limits, and other features.   The workshop recording will be available to those who register one week after the event.

Student Submissions to UKnowledge: What to know about author rights, open access, and the workflow for acceptance

If you are submitting a thesis, dissertation, or other student work for publication on UKnowledge, get ahead of the curve and spend an hour learning to get the most from your submission. Guaranteed to save you time and trouble later and to maximize the benefit of publication, we'll talk about the platform, the submission process, and the submission forms.   

Open Office Hours for ETD submission

If you're struggling with either submission or revision of your ETD, drop in today for hands-on help.   The Stacks is located on the ground floor of the King Library Annex. The entrance is on the south side of the building. The King Library Building is located in the central campus, south of Patterson Drive and west of Rose Street, between the Lucille Caudill Little Fine Arts Library and Pence Hall.  For more information, please consult the University of Kentucky Campus Map, or contact us at TheStacks@uky.edu or 859-257-0121.

Digital Spring Cleaning: Tips for Decluttering Your Files and Data

Whether we're needing a new system to keep class files organized, struggling to manage large amounts of research data, or just constantly losing important files, we can all benefit from being smart about how we organize our files and folders. This workshop will provide strategies for personal file management, keeping digital material well-organized, and creating well-documented and reusable datasets.

Machine Learning: A Light Introduction

Are you interested in learning more about machine learning but aren't sure where to get started? Join UK Libraries to familiarize yourself with the fundamentals of machine learning along with how to implement some basic models in Python using scikit-learn. The first half of this session will introduce core concepts in machine learning, including supervised vs. unsupervised learning, types of models, and metrics for evaluating model performance. The second half will focus on how to apply some of these concepts in Python.