There’s no one way to organize your data, but a consistent and descriptive file structure can save you time and money later. Use a system that makes sense to you so that keeping things in order becomes a habit instead of a chore.
Choosing file formats carefully helps avoid obsolescence. Use formats that are:
For more information on recommended file formats, go here: Recommended Formats Statement
Adopt a naming convention and use it throughout a project (or throughout your career). Consider including a README.txt file that explains your naming convention and any codes or abbreviations you use. File names should:
Example Project_instrument_location_date_time_version.ext
Don’t name your files one at a time! Use a free batch-renaming tool:
Please contact us for assistance with your project using this form.
Humanities Data Curation Checklist
Created by Adriana Cásarez, Spring 2020. A checklist guide for humanities researchers and liaison librarians on key considerations for making their data findable, accessible and clear to interested scholars and institutions.
Data Curation in the Texas Data Repository
Created by Brenna Wheeler, Spring 2020 Capstone. A data curation workflow to improve the findability and reusability of datasets, localized to the Texas Data Repository.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 Generic License.