Looking for information on the NIH Data Management and Sharing Plan 2023 requirements?
Consult our Guide with UVA-focused guidance on preparing your plan.
Conducting research involves working with data and involves processes from start to finish, including naming files, preparing and cleaning your data, performing analyses, documenting your work, and more. Below are selected resources help improve your workflows through better data management practices.
File Naming
File Organization
File Formats
Resources:
Following a few basic recommendations when working with research data in spreadsheets can save you time when it comes to analyzing your data. Consider these practices adapted from Data Organization in Spreadsheets, Karl W. Broman & Kara H. Woo.
Basic Spreadsheet Practices
Getting Started
Inputting Data
Tidy Data
Sharing
Additional Resources:
Data Science for the Biomedical Sciences - Spreadsheets
Data Carpentry Spreadsheet Lesson
DataONE Data Entry and Manipulation (creating files, missing values, data validation)
Data Organization in Spreadsheets, Karl W. Broman & Kara H. Woo
Documentation:
Describing your Project
CESSDA has a useful guide for creating project-level documentation:
Describing your Dataset(s)
Nice overview on Readme, Data Dictionaries, Codebooks with examples (Iowa)
Readme File
A readme is typically a plain-text file that provides information about a datafile to help facilitate use and re-use of the data. Typical elements to a readme include the following (adapted from Guide to Writing "readme" Style Metadata). Using one of the templates below can help ensure you create a useful readme file.
Readme Content: General Information
Readme Content: Data and Files
Readme Content: Methods
Additional Readme Resources
Data Dictionary
Codebook
Metadata and Standards
Disciplinary Metadata (Digital Curation Centre) - links to information about metadata standards by discipline/field
University Policies:
UVA-Contracted Cloud Storage:
Additional UVA Storage Resources:
Backing Up Your Data:
Archiving and Sharing:
UVA Resources for Computing and Analysis:
The Open Science Framework (OSF) is a free, open web-based platform to support your research and enable collaboration. Think of it as a site where you can manage your whole research project. UVA is an institutional member and you can log in with your NetBadge (select "Sign in via institution.")
See examples:
Project TIER seeks to enhance transparency and reproducibility of empirical research in the social sciences. Resources include:
Need more information on managing your research data? We are here to help:
University Library Research Data Services + Sciences - contact at dmconsult@virginia.edu
Health Sciences Library Research & Data Services - contact at hsl-rdas@virginia.edu
Claude Moore Health Sciences Library 1350 Jefferson Park Avenue P.O. Box 800722 Charlottesville, VA 22908 (Directions)
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