Methods Minute News: May Edition

March Spotlight: Finding Data in Documents and Datasets View as webpage](   |    Email alerts]( Share: [Share on Twitter]( [Share on Facebook]( [Share on LinkedIn]( [SAGE Methods Minutes Header Banner]( [Spotlight Icon] May Spotlight: Finding Data in Documents and Datasets Browse our selection of free blogs, podcasts, videos, courses, articles, and book chapters on finding data in documents and data sets. From MethodSpace and the SAGE Community [Method Space Image]( [May series on Finding Data in Documents and Datasets]( Our May focus was on different options researchers have when conducting a project using documents or datasets – whether directly interacting with participants or using Big Data. We explored these possibilities, while sorting extant data for online research into three categories; historical, contemporary and emergent. [Icon]( [Find the entire series here](. [Cover]( [100 Episodes of the Social Science Bites Podcast]( This month marks the 100th episode of Social Science Bites, a podcast series featuring interviews with the world’s leading social scientists. Tune in to hear from methods experts including [David Spiegelhalter]( on Communicating Statistics, [Gary King]( on Big Data Analysis, and [Saskia Sassen]( on the concept of ‘before method’. [Icon]( [Listen to all episodes here](. From SAGE Research Methods [Dr Elbert Almazan]( [An Introduction to Secondary Data Analysis]( In this video from our Research Methods Video collection, Dr Elbert Almazan will talk about secondary data analysis, presenting examples of tested and validated surveys. [Icon]( [Watch the video here](. From SAGE Campus [Image]( [Benefits of taking Collecting Social Media Data]( Read a guest blog by Dr. James Allen-Robertson, instructor on our [Collecting Social Media Data]( online course and Computational Social Scientists at the University of Essex. James discusses the benefits of taking his course to learn the essentials of collecting social media data and gain the skills to plan, gather and analyze social media data for your research. [Icon]( [Take a free module of the course here](. [Image]( [See Numbers in Data Course Coming Soon]( SAGE Campus is launching 9 new online courses this July, including data literacy courses on See Numbers in Data and Know Your Numbers. Join one of our free launch webinars at the link below and register your interest to try free modules of the courses when they launch. [Icon]( [Find out more and sign up to the webinars here](. From SAGE Journals [Evaluation Image]( [Applying Big Data visualization to detect trends in 30 years of performance reports]( This study presents a system for analysing unstructured Big Data using text analytics, machine learning, and data visualisation. The aim of the study is to reveal the unseen: supply a top-down analysis of repositories of documents and their interrelationships in a visual representation. [Icon]( [Read the article here for free until 31st May](. [Evaluation Image]( [Qualitative Evidence Synthesis: Where Are We at?]( Kate Flemming and Jane Noyes clarify in this paper what a “qualitative evidence synthesis” is and explores its role, purpose and development, bringing exemplars to support readers in making choices in approach to a synthesis and aid understanding. [Icon]( [Read the article here.]( From SAGE Books [Little Quick Fix: Find The Theme In Your Data]( [Little Quick Fix: Find the Theme in Your Data]( Author Robert Thomas offers guidance for students to explain the essential facts of qualitative data analysis process. This Little Quick Fix book gives confidence to understand what themes tells you and its importance in the larger context of the research project. [Icon]( [Preview the book here](. [Data Science For Business With R]( [Data Science for Business with R]( Jeffrey Saltz and Stanton brought together a text with the fundamentals on R for students on data science or business analytics degree programmes. No experience is required as the book follows a logical order illustrating running case and full integration of R and RStudio. [Icon]( [Request a review copy here](. [Rich Search And Discovery For Research Datasets]( [Rich Search and Discovery for Research Datasets]( By Julia Lane, Ian Mulvany and Paco Nathan, this text highlights the opportunities to conduct advanced social research due to the fast growth in technology, exploring and demonstrating how automation and machine learning create a new generation of tools to identify datasets used in social research. [Icon]( [Request a free copy here](. Don't miss out on the latest happenings in Research Methods! 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