This workshop offers an overview of the SAS programming language, focusing on data management activities. Session 1 includes a general overview of major SAS components (Program Editor, Log and Output) and the core concepts of SAS programming (DATA and PROC steps). It focuses on the process of importing and modifying data, including issues of importing/exporting data from other file formats, merging and concatenating data sets, and adding to or subsettting from datasets. Key SAS statements described include: PROC IMPORT, SET, MERGE, IF-THEN, and WHERE. Session 2 focuses on data analysis, including variable creation/recoding and descriptive analyses typically used in data management. Key SAS statements described include: PROC CONTENTS, PROC MEANS, and PROC FREQ. Together, these two sessions allow researchers to learn basic data management processes using the SAS statistical system. Registration required; please click "more information" to access the registration form.
The Dataverse is an open source repository software platform for sharing, preserving, citing, discovering, exploring, and analyzing research data. This workshop will provide an overview of the Dataverse Project and demonstrate how the Dataverse can be used to discover research data and manage and share data in compliance with best practices.
This workshop introduces data management practices to consider throughout the research lifecycle: planning, organization, documentation, storage and backup, sharing, citation, and preservation. The workshop will focus on best practices for data management in the social sciences, with an emphasis on documentation strategies for data collection, file organization, data validation, and analysis protocols. Registration required; please click "more information" to access the registration form.
Today, researchers are increasingly faced with requirements from both federal and private funders to share, archive, and plan for the management of their data. This trend began in 2003 when NIH released their data sharing policy and in 2011 the NSF began requiring that all grant proposals include a two-page Data Management Plan (or DMP). Then in 2013 an Office of Science and Technology Policy Memo directed all federal agencies with over $100 million in annual funding to develop plans to make research products, including data, openly accessible. This workshop will provide an overview of funding agencies' DMP requirements, the primary components of data management plans, and suggestions for integrating data management updates into grant reporting. Attendees will also learn about tools and resources that can help them write a DMP that complies with funder mandates. A portion of this workshop will include a hands-on data management plan exercise.
Join Bass Connections for a year-end celebration across the program's five interdisciplinary themes: Brain & Society; Information, Society & Culture; Global Health; Education & Human Development; and Energy. Five project teams will present lightning talks, many teams will display posters summarizing their research and findings, selected students will be honored with awards, and guests will enjoy a festive reception. Come learn more about Bass Connections and find out what these research teams of faculty, grad students, undergrads and community partners have accomplished this year.