What is This Guide About?
This guide will identify This article identifies the main differences between cloud storage, data collection tools, and data repositories with regards to long-term preservation, discoverability, and data sharing. It will further demonstrate demonstrates uses for each during a research project and will provide provides resources for learning more about approved platforms used by many UNC researchers.
Definitions
Cloud Storage is a method of storing digital files on multiple distributed servers typically managed by a host service (e.g., Amazon, Google, OneDrive, Box, etc.). The host service manages and maintains the physical servers and ensures the digital files stored are accessible and secure.
Data collection tools offer a variety of features, but the common thread between them is that users can collect, manage, and store their research data through the life of their project. Some tools let users manipulate the data within the platform, while others allow users to export data in multiple formats used by common statistical software. Examples of data collection web-based tools include Qualtrics, REDCap, and Google Forms.
A data repository is a platform built specifically for preserving and sharing research data. Data repositories provide persistent, stable identifiers (e.g., DOIs, handles, etc.) to enable continued access to the metadata related to the data files. Additionally, a data repository has mechanisms in place for ensuring the long-term preservation and storage of its holdings (e.g., multiple copies and backups, file migrations). Periodic data integrity audits are performed to verify the quality of the data files being stored within the repository. Data repositories are designed to promote discoverability and access of research data by generating robust metadata following data archival best practices and community standards.
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