Research Guides
Research Data Management Planning Workshop: Resources
This guide is a description and list of useful links adapted from the Data Management Planning Workshop, an asynchronous online workshop for UW community members engaged in research with data.
What you'll find in this guide
- Planning for Data Management - Things to consider prior to the start of data collection
- Active Data Management - Data Management concepts you will encounter during your research project
- Retaining, Sharing, and Archiving - Best practices for retaining, sharing, and archiving your data
What is data management and why should I care?
Data management is a process that can help you organize, understand, protect, and share your research data. As a researcher affiliated with an institution and/or funded by a research grant, you might be required to create a data management plan.
Motivations for data management
- ReproducibilityUW eScience Reproducibility and Open Science Working Group page with tools and practices to enhance data sharing, preservation, provenance, and reproducibility
- Open ScholarshipAssociation of Research Libraries page on open scholarship
- Reproducibility and Open ScienceUW eScience Institute
- 10 Simple Rules for the Care and Feeding of Scientific DataArticle that highlights the importance of data management and offers a short guide to the steps scientists can take to ensure that their data and associated analyses continue to be of value and to be recognized.
