Introduction

Many people within and beyond the citizen science (CS) community have expressed concerns about the quality of data from CS projects and programs. At the May 2017 conference of the Citizen Science Association (CSA), a group of researchers, project managers (practitioners), and volunteers is meeting to better understand key considerations around data quality and begin to identify best practices for supporting data quality in citizen science.   
                                                                                                                             
To prepare for this meeting, we wish to better understand different data quality practices in CS from the project manager or practitioner perspective.

If you are part of a team managing a citizen science project, we invite you or someone on your team to complete this survey. This survey will take approximately 20 minutes to complete. The results of this survey will be used to characterize approaches to supporting and improving data quality taken by citizen science programs, and may be published on the CSA website or through scholarly publications.

All participation is anonymous. While we collect information such as the name of your project, we will only use this information to find and analyze websites and other materials that you publish. We will not associate your survey responses with the name of your project in any way.

Please contact Rob Stevenson, robert.stevenson@umb.edu, and Anne Bowser, anne.bowser@wilsoncenter.org, if you have questions about this survey.

This research project was submitted to IRB office at UMass Boston, and deemed not to meet the definition of human subject research under the Code of Federal Regulations Title 45 Part 46.102(d).

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