Data Quality and Documentation
How do you describe your digital data and document the steps you take to analyze it? Are your files sufficiently organized and have you created the metadata so that others can interpret what you've done? What about yourself, three months from now? In this guide, we share some best practices and strategies to adopt in order to organize and describe your science research data for yourself and others.
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An important part of the process is documenting your data (creating metadata) and making sure that your data are as error-free as possible. Here are some tools to help make that process easier.
Need Data Help? The Research Data Management Service Group Is Here!
The Research Data Management Service Group (RDMSG) is a cross-disciplinary organization that links Cornell University faculty, staff and students with data management services and best practices to meet their research needs. Ways we can help include:
- creation and implementation of data management plans
- understanding funder requirements and data sharing & archiving
- data organization and collaboration tools
Email us for assistance with your data management questions!