The DataONE Best Practices database provides individuals with recommendations on how to effectively work with their data through all stages of the data lifecycle.
Office of Sponsored Projects has a website that addresses the steps involved with submitting, conducting, closing and disseminating results of a research study, and includes links to institutional, state, and federal resources and regulations.
You must have an MSU ID to register for the following seminars online. If you do not have a net ID and would like to attend, please call Lynn Taylor at 325-3168 or email ltaylor@research.msstate.edu to sign up.
DataONE is a community driven project providing access to data across multiple member repositories, supporting enhanced search and discovery of Earth and environmental data.
Dataverse is an open source web application to share, preserve, cite, explore, and analyze research data. It facilitates making data available to others, and allows you to replicate others' work more easily.
ICPSR maintains a data archive of more than 250,000 files of research in the social and behavioral sciences. It hosts 21 specialized collections of data in education, aging, criminal justice, substance abuse, terrorism, and other fields.
The Center’s mission is to collect, preserve, and disseminate public opinion data; to serve as a resource to help improve the practice of survey research; and to broaden the understanding of public opinion through the use of survey data in the United States and abroad.
Many academic disciplines have supported initiatives to formalise the metadata specifications the community deems to be required for data re-use. This page provides links to information about these disciplinary metadata standards, including profiles, tools to implement the standards, and use cases of data repositories currently implementing them.
Clean your Data
Here are some popular and easy tools to make it easy to prepare and clean your data for analysis.
OpenRefine is a powerful tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data.
Wrangler helps data analysts clean and prepare messy, diverse data more quickly and accurately. Simply import your datasets to Wrangler and the application will automatically begin to organize and structure your data.
Open course from Utah State University. In this course you will explore the question of what visualization is, and why you should use visualizations for quantitative data.
The DMPTool provides detailed guidance and links to general and institutional resources and walks a researcher through the process of generating a comprehensive plan tailored to specific DMP requirements.
