Visit BYU's IRB site for guidance about submitting a research proposal that uses human subjects (including surveys and questionnaires).
ScholarsArchive is a great place to share and preserve datasets. See the Submission Guidelines for more information.
Proper data management practices are essential for ensuring that collected data is preserved, protected, accessible, and useful to researchers in the future. Some research contracts require the establishment of a Data Management Plan (DMP).
Learn the basics of organizing data in Data Management Fundamentals (video training; 37:57). Be sure to download workshop slides before watching.
Exploring research data management by
Research Data Management (RDM) has become a professional topic of great importance internationally following changes in scholarship and government policies about the sharing of research data. Exploring Research Data Management provides an accessible introduction and guide to RDM with engaging tasks for the reader to follow and develop their knowledge.
Data Management and Analysis: Case Studies in Education, Healthcare and Beyond
Data management and analysis is one of the fastest growing and most challenging areas of research and development in both academia and industry. Numerous types of applications and services have been studied and re-examined in this field resulting in this edited volume which includes chapters on effective approaches for dealing with the inherent complexity within data management and analysis.
Big Data Management by
Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data.