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- Biodiversity Data Quality Interest Group
- Task Group 1 - Framework on Data Quality
- Task Group 2 - Data Quality Tests and Assertions
- Task Group 3 - Data Quality Use Cases
- Task Group 4 - Best Practice for Development of Vocabularies of Value
- Report of TDWG DQIG Meeting, São Paulo, Brazil (Mar 2016)
- Meeting of TDWG GBIF Data Quality Interest Group in conjunction with the GBIF Working Group on Fitness for Use for Invasive Alien Species, Monash, Victoria, Australia (Oct 2016)
- Summary of DQIG meetings during TDWG2016, Costa Rica (Dec 2016)
- Report of TDWG DQIG Meeting Canberra, Australia (May 2017)
- Notes from the Joint Data Quality/Annotations Interest Groups meeting at SPNHC (Jun 2017)
- Summary of DQIG meetings during TDWG2017, Ottawa, Canada (Oct 2017)
- Summary of DQIG Meetings held during TDWG2018, Dunedin, New Zealand
- TG1 - Veiga, A.K. et al., A conceptual framework for quality assessment and management of biodiversity data. PLOS ONE 12 (6):
- TG1 - Biodiversity Data Quality Framework
- Kurator-Fitness for Use for Data Quality (FFDQ) and FFDQ-API
- TG1 - Cheat Sheet Summary of Mathematical Framework
- TG2 - Tests and Assertions of the 'Data Quality' Interest Group seek your comments (Aug 2017)
- TG2 - Tests and Assertions Spreadsheet
- TG2 - ALA Blog: International data quality workshops focus on fitness for use (Jan 2018)
- TG2 - Summary of Workshop held in Gainesville, Florida (Jan 2018)
- TG2 - A Proposal for identifying synthetic data
- TG4 - Vocabularies of values Task Group Workplan
- TG4 - Vocabularies of values Scoping Document
- TG4 - Preliminary list of Biodiversity-related Vocabularies
- TG4 - Vocabularies needed for Darwin Core Terms
- Annotations IG - (Draft) Data Quality Assertions in the W3C annotation data model
- Annotations IG - Paul Morris's slide presentation from SPNHC (June 2017)
- Belbin, L. and A.D.Chapman (2017). A Bite from the Core - testing for data quality. Darwin Core Hour Webinar 8 [(Vimeo]
- Veiga A.K. (2016). A conceptual framework on biodiversity data quality [online]. São Paulo : Escola Politécnica, University of São Paulo. Doctoral Thesis in Sistemas Digitais. [cited 2017-05-15]. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-17032017-085248/.
- Veiga, A.K., A.M.Saraiva, A.D.Chapman, P.J.Morris, C.Gendreau, D.Schigel and T.J.Robertson (2017). A conceptual framework for quality assessment and management of biodiversity data. PLOS ONE 12 (6): https://doi.org/10.1371/journal.pone.0178731
- Zermoglio, P. (2017). Thousands of Shades for "Controlled" Vocabularies. Darwin Core Hour Webinar 2 [Vimeo]
Welcome to the TDWG-GBIF Data Quality Interest Group Wiki. Previous discussion has been carried out on the GBIF Community Site however, this did not allow us to easily share documents and spreadsheets we were working on.
The Data Quality Interest Group was proposed in 2013 and formally adopted by the TDWG Executive in 2014. A Symposium and Workshop was held at TDWG2014 in Jönköping, Sweden. The Interest Group was combined with the GBIF discussion group on Data Quality to form the TDWG-GBIF Data Quality Interest Group. Approximately 100 members expressed an interest in working with the Interest Group since its early stages.
The Interest Group is co-chaired by Arthur Chapman and Antonio Mauro Saraiva with Dmitry Schigel as GBIF liaison.
Three Task Groups were established after the TDWG2014. A fourth Task Group was established in 2018– viz.
All annual Reports, reports from inter-TDWG meetings, and all key documents are published here on the Wiki.
Arthur Chapman (co-convenor)