Reusing
(access, use, reuse and repurpose)
In this stage, data or code are re-purposed or re-used. Robust access controls and authentication procedures may be applicable. Ideally data and code that have been published will have a persistent identifier or accession number, and a license or clearly stated terms of use. These research outputs may be integrated with other sources, or processed and analyzed in new ways. New data or derived products may be created and published. Data and software citation should be encouraged.
Relevant tools and resources:
- UVIC - Framework for Evaluating the Reproducibility of a Data Set
- sdcMicro - Microdata Anonymization
- Colectica Curation Tools
- Amnesia - Data Anonymization
- University of Edinburgh Choose the Best File Formats
- Library of Congress Sustainability of Digital Formats
- Dryad Opening Files Wiki
- DCC Disciplinary Metadata
- DataOne Data Management Skillbuilding Hub
- Sensitive Data Toolkit for Researchers Part 2 - Human Participant Research Data Risk Matrix
- Sensitive Data Toolkit for Researchers Part 1 - Glossary of Terms for Sensitive Data used for Research Purposes
- Data Curation Network Data Curation Primers
- Creative Commons Chooser - Select Your License
- SATIFYD
- CSIRO 5-star Data Rating Tool
- CODECHECK
- Wikipedia - Free and open-source software licenses
- University of Wisconsin Data Services - Data Management Data Dictionaries (video)
- UK Data Archive - Research Data Management
- Queen's University Library Research Data Management (RD) Workflow
- Primer on Data Management - What You Always Wanted to Know
- Open Source Licenses
- Microdata Handling and Security - Guide to Good Practice
- ICPSR - What is a codebook?
- GNU-license-recommendations
- FAIRsharing.org
- Electronic Theses and Dissertations (ETD) plus Toolkit
- DDC Glossary of frequently used terminology
- DCC Curation Lifecycle Model (with checklists)
- Creative Commons (CC) - Licensing Flowchart
- Creative Commons (CC) - Licensing Considerations
- Creative Commons (CC) - How the licenses work
- Cornell University - Guide to writing 'readme' style metadata
- Cornell - Data Licensing
- ANDS File Formats
- ANDS Curation Continuum