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This article covers the UNC Dataverse Quick Guide, including a Getting Started and how-to instructions.

This article outlines the steps for adding, editing, and expiring new users in REDCap, including how to set their permissions.

This article introduces the concept of the qualitative data package to describe the necessary components of a complete qualitative dataset that supports long-term preservation, access, and reuse.

This article offers recommendations for qualitative data file formats that align with data management and sharing standards and best practices.

This article helps you organize your research data and associated materials into a publishable package that supports transparency, reusability, and compliance with data sharing policies. These data packages can be deposited and published in a data repository for broader dissemination.

This article explains data access restrictions such as ethical, legal, or resource limitations and provides examples to researchers for ways to implement access restrictions on data.

This article outlines the steps for mitigating temporary issues with data imports and exports in REDCap@UNC.

This article provides a quick reference table for the roles and corresponding permissions available in REDCap projects. It is designed to help REDCap users and study teams understand the level of access associated with each role and assign responsibilities appropriately.

This article describes a data management and sharing plan and its components while also highlighting relevant policies, resources, and tools for planning for data management sharing activities.

This article offers information and guidance for researchers interested in using UNC Dataverse to share their research data as part of sponsor data sharing requirements and policies.

This article explains the importance of identifying and assigning roles and responsibilities to research project team members to support data management and sharing activities during and after the performance period of a funded project.

This article provides instructions and tips for creating a codebook (sometimes referred to as a ‘data dictionary’) that describes the contents of a research data file or files.

This article describes the types of information that should be included within a README file to assist secondary users in understanding the contents and structure of your research materials.

This article defines data curation, explains its necessity and importance, highlights the role of a data curator within a research project team, and points to resources on data curation best practices and standards.

This article defines metadata and metadata standards for research data, and provides resources to help researchers identify an appropriate metadata standard for their project.