Pipedream or pipeline: delivering regular, reliable, up-to-date information on biodiversity through repeatable workflows

Talk at the TDWG 2017 annual conference in Ottawa, Canada - October 6, 2017.

Abstract: https://doi.org/10.3897/tdwgproceedings.1.20749

Transcript

1. Pipedream or pipeline Delivering regular, reliable, up-to-date information on biodiversity through repeatable workflows 2 October 2017, Ottawa TDWG 2017
2. Quentin Groom Botanic Garden Meise Tim Adriaens INBO Diederik Strubbe Ghent University Sonia Vanderhoeven Belgian Biodiversity Platform Peter Desmet INBO Authors
3. We want to study biodiversity change to help guide environmental policy
6. This gets outdated:
7. How to set up this So we can update this
9. We want to study invasive alien species to help guide environmental policy
10. • What species? • Where are they? • How are they getting here? • What is their impact? • Future distributions? • Future impact? IAS in Belgium
11. Standards
12. What species are alien in Belgium?
13. Let’s check the Alien species checklist for Belgium
14. We don’t have one! And certainly not one that is unified, verified & standardized
15. We do have A number of authoritative checklist with a more specialized scope
16. Let’s develop a standard so we can combine these
17. Let’s develop a standard so we can combine these
18. Let’s use an existing standard so we can combine these
19. Darwin Core
20. Controlled vocabularies
21. Proposal for terms & vocabularies
22. Proposal for terms & vocabularies
23. Data management
24. Make a unified IAS checklist by combining the authoritative checklists
25. Checklists authors should now manage the unified checklist
26. Checklists authors should now manage the unified checklist
27. Checklists authors should manage their checklist and get the tools to publish it
28. Checklist management
29. Repeatable publication
30. Published checklist on GBIF
31. Open data
32. Where and when are the alien species in Belgium?
33. • Citizen science projects • Monitoring programs • Research projects • Collections • Ad hoc information • GBIF Sources of IAS distribution data
34. Let’s create a database to combine these
35. Let’s create a database to combine these
36. Let’s create a database to combine these
37. Let’s publish as open data on GBIF
38. Citizen science dataset
39. Infrastructure & software
40. Checklist & occurrence data on GBIF
41. Checklists Occurrence sources
42. Checklists Occurrence sources Unified checklist
43. Checklists Occurrence sources
44. Checklists Occurrence sources
45. Checklists Occurrence sources
46. Checklists Occurrence sources
47. Feeds into further research pipeline
48. Conclusions
49. Repeatable workflows are feasible!
50. Checklists Occurrence sources
51. Checklists Occurrence sources
52. Checklists Occurrence sources
53. Checklists Occurrence sources
54. Checklists Occurrence sources
56. trias-project.be @trias_project Thank you! Abstract: https://doi.org/10.3897/tdwgproceedings.1.20749 Presentation: bit.ly/2x9XSKF