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Data Management Resources for UNLV: Recommended Practices

This guide provides both public and UNLV-specific resources for creating and implementing your data management plan.

Why Share Data?

The decision to share all or part of research data is an important one and there are several considerations for researchers to analyze. A few of these considerations are listed below.

  • Does the grant funding agency require, encourage, or prohibit sharing of the data?
  • Does the publisher require a copy of the data with manuscript submission for peer-review?
  • Who are the owners of the data?
  • Are there research subject confidentiality or other security concerns to address? 
  • Will the data be shared publically, or only with researchers or individuals who can demonstrate that they are properly credentialed? 
  • Will all or only a portion of the data be shared?
  • Will the data be shared immediately or after a period of time has elapsed (embargo period)? 

Resources to assist you with these and other data sharing decisions are provided below:

Metadata Standards for Data

Data Quality Assurance and Quality Control

DCC Data Lifecycle

From the Digital Curation Centre (DCC), this lifecycle model provides a graphical, high-level overview of the stages required for successful curation and preservation of data from initial conceptualisation or receipt through the iterative curation cycle. 

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