Perspectives on Citizen Science Data Quality

Robert R. Downs, Hampapuram K. Ramapriyan, Ge Peng, Yaxing Wei

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Information about data quality helps potential data users to determine whether and how data can be used and enables the analysis and interpretation of such data. Providing data quality information improves opportunities for data reuse by increasing the trustworthiness of the data. Recognizing the need for improving the quality of citizen science data, we describe quality assessment and quality control (QA/QC) issues for these data and offer perspectives on aspects of improving or ensuring citizen science data quality and for conducting research on related issues.

Original languageEnglish
Article number615032
JournalFrontiers in Climate
Volume3
DOIs
StatePublished - Apr 9 2021

Funding

This article reflects perspectives of the authors, who are members of the ESIP Information Quality Cluster (IQC) leadership team and appreciate the insight received from discussions among IQC members and from invited presentations on the CS programs at the U.S. agency level, including those at NASA and NOAA. The authors also appreciate the thoughtful comments and recommendations provided by the reviewers. The views expressed in the article do not represent the position of ESIP, its sponsors, the authors' employers, or their sponsors. Funding. RD was supported by the National Aeronautics and Space Administration (NASA) under Contract 80GSFC18C0111 for operation of the NASA Socioeconomic Data and Applications Center (SEDAC). HR was supported under NASA Contract 80GSFC20C044 with Science Systems and Applications, Inc. GP was supported in part by NOAA under Cooperative Agreement NA19NES4320002 and by NASA under Cooperative Agreement NNM11AA01A. YW was supported by NASA under Interagency Agreement 80GSFC19T0039. RD was supported by the National Aeronautics and Space Administration (NASA) under Contract 80GSFC18C0111 for operation of the NASA Socioeconomic Data and Applications Center (SEDAC). HR was supported under NASA Contract 80GSFC20C044 with Science Systems and Applications, Inc. GP was supported in part by NOAA under Cooperative Agreement NA19NES4320002 and by NASA under Cooperative Agreement NNM11AA01A. YW was supported by NASA under Interagency Agreement 80GSFC19T0039.

Keywords

  • citizen science
  • citizen science data
  • citizen science methods
  • data quality
  • information quality

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