Sharing
(publication, data deposit & sharing)
In this stage, data are prepared for sharing, publishing, and preservation. It is important to consider what data can be shared, and any legal or ethical obligations that may limit how the data can be shared. The research team may need to select an appropriate disciplinary repository, a generalist repository, or make other arrangements to share their data.
Some repositories have a self-mediated deposit and publication process, while others may have dedicated curators to assist researchers. There may be specific recommendations or requirements for what file formats and metadata standards can be used, what accompanying documentation should be included, and what licenses can be applied. Various factors such as the repository policies for stewardship and data retention, mechanisms for user support, and the ability to assign unique identifiers should be considered. Tools such as the Repository Finder tool and re3data, and guidance such as The TRUST Principles for Digital Repositories can aid the selection process.
Relevant tools and resources:
- DCC Disciplinary Metadata
- De-identification Guidance
- DataOne Data Management Skillbuilding Hub
- GBIF Generalizing Sensitive Species Occurrence Data
- Colectica for Microsoft Excel
- 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
- OSF How to Make a Data Dictionary
- Data Curation Network Data Curation Primers
- Creative Commons Chooser - Select Your License
- Delivering Research Data Management Services MOOC
- DCC Curation Briefing Papers
- 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
- SIKU (Sea Ice) Atlas
- Queen's University Library Research Data Management (RD) Workflow
- Primer on Data Management - What You Always Wanted to Know
- Portage Dataverse North Metadata Best Practices Guide - Version 2.0
- OpenRefine
- Open Source Licenses
- NLM-Scrubber - Clinical Text De-identification
- Mukurtu CMS - An Introduction
- Microdata Handling and Security - Guide to Good Practice
- LOC - Recommended Formats Statement
- ICPSR - What is a codebook?
- GNU-license-recommendations
- Folder and File Naming Convention - 10 Rules for Best Practice
- File Naming Guidelines - State Archives of North Carolina
- FAIRsharing.org
- DLCM DM Checklist
- DDC Glossary of frequently used terminology
- DCC - Version control and authenticity
- 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 README file template
- Cornell guide to writing readme style metadata
- Cornell - Data Licensing
- ANDS File Formats
- ANDS Curation Continuum