8 Learn more about data cleaning

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• Biodiversity Informatics Training Curriculum (BITC)

• BITC: Webinar Series

• Darwin Core Hour webinar series

• The Darwin Core Questions & Answers wiki

• Principles of Data Quality (A. D. Chapman 2005)

• A conceptual framework for quality assessment and management of biodiversity data (Veiga et al. 2017)

• Quantifying the value of user-level data cleaning for big data: A case study using mammal distribution models (Gueta and Carmel 2016)

References

Chapman, Arthur D. 2005. “Principles of data quality, version 1.0.” GBIF; Global Biodiversity Information Facility, Copenhagen.

Gueta, Tomer, and Yohay Carmel. 2016. “Quantifying the value of user-level data cleaning for big data: A case study using mammal distribution models.” Ecological Informatics 34: 139–45. doi:10.1016/j.ecoinf.2016.06.001.

Veiga, Allan Koch, Antonio Mauro Saraiva, Arthur David Chapman, Paul John Morris, Christian Gendreau, Dmitry Schigel, and Tim James Robertson. 2017. “A conceptual framework for quality assessment and management of biodiversity data.” Edited by Ulrich Melcher. PLOS ONE 12 (6). Public Library of Science: e0178731. doi:10.1371/journal.pone.0178731.

References

Chapman, Arthur D. 2005. “Principles of data quality, version 1.0.” GBIF; Global Biodiversity Information Facility, Copenhagen.

Veiga, Allan Koch, Antonio Mauro Saraiva, Arthur David Chapman, Paul John Morris, Christian Gendreau, Dmitry Schigel, and Tim James Robertson. 2017. “A conceptual framework for quality assessment and management of biodiversity data.” Edited by Ulrich Melcher. PLOS ONE 12 (6). Public Library of Science: e0178731. doi:10.1371/journal.pone.0178731.

Gueta, Tomer, and Yohay Carmel. 2016. “Quantifying the value of user-level data cleaning for big data: A case study using mammal distribution models.” Ecological Informatics 34: 139–45. doi:10.1016/j.ecoinf.2016.06.001.