Research Guides
Resources from Research Data Management Planning Workshop: Home
This guide is a list of useful links adapted from the Data Management Planning Workshop (https://guides.lib.uw.edu/research/dmg/rdmworkshop), 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.
