Semantic Scholar Open Access 2021 113 sitasi

Data Quality in Citizen Science

B. Balázs P. Mooney E. Nováková L. Bastin Jamal Jokar Arsanjani

Lihat Sumber DOI

Abstrak

This chapter discusses the broad and complex topic of data quality in citizen science – a contested arena because different projects and stakeholders aspire to different levels of data accuracy. In this chapter, we consider how we ensure the validity and reliability of data generated by citizen scientists and citizen science projects. We show that this is an essential methodological question that has emerged within a highly contested field in recent years. Data quality means different things to different stakeholders. This is no surprise as quality is always a broad spectrum, and nearly 200 terms are in use to describe it, regardless of the approach. We seek to deliver a high-level overview of the main themes and issues in data quality in citizen science, mechanisms to ensure and improve quality, and some conclusions on best practice and ways forwards. We encourage citizen science projects to share insights on their data practice failures. Finally, we show how data quality assurance gives credibility, reputation, and sustainability to citizen science projects.

Topik & Kata Kunci

Political Science

Penulis (5)

B. Balázs

P. Mooney

E. Nováková

L. Bastin

Jamal Jokar Arsanjani

Format Sitasi

APA MLA BibTeX

Balázs, B., Mooney, P., Nováková, E., Bastin, L., Arsanjani, J.J. (2021). Data Quality in Citizen Science. https://doi.org/10.1007/978-3-030-58278-4_8

Akses Cepat

Lihat di Sumber doi.org/10.1007/978-3-030-58278-4_8

Informasi Jurnal

Tahun Terbit: 2021
Bahasa: en
Total Sitasi: 113×
Sumber Database: Semantic Scholar
DOI: 10.1007/978-3-030-58278-4_8
Akses: Open Access ✓