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The need of a data exchange format on IAS management

The need of a data exchange format on IAS management

Damiano Oldoni

March 25, 2022
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  1. IAS management The need for a data exchange format on

    IAS / wildlife management D. Oldoni, J. Hillaert, T. Adriaens
  2. Table of content 1. The IAS/wildlife management data landscape 2.

    Data exchange format 3. Draft of a data exchange format for IAS management 4. The trajectory towards an adopted standard
  3. Table of content 1. The IAS/wildlife management data landscape 2.

    Data exchange format 3. Draft of a data exchange format for IAS management 4. The trajectory towards an adopted standard
  4. 1. The IAS/wildlife management data landscape 1. The reporting demands

    of the EU IAS regulation 2. What do management data look like? 3. The LIFE RIPARIAS perspective
  5. van Loon et al. 2017 Cartuyvels et al. in pub

    EEA IAS dashboard
  6. 1.1 The reporting demands of the EU IAS regulation

  7. 1.1 The reporting demands of the EU IAS regulation Objective

    Method Effectiveness Non-target effects Comment box
  8. 1.1 The reporting demands of the EU IAS regulation Objective

    ias.eea.europa.eu/
  9. 1.1 The reporting demands of the EU IAS regulation Method

    https://cdr.eionet.europa.eu/help/ias_regulation/material/IAS- guidelines
  10. 1.1 The reporting demands of the EU IAS regulation https://ias.eea.europa.eu/

    Effectiveness
  11. 1.1 The reporting demands of the EU IAS regulation Non-target

    effects (on other species) https://cdr.eionet.europa.eu/help/ias_regulation/material/IAS-guidelines
  12. 1.2 What do management data look like? 1. No recording

    of management activities 2. On personal laptop in spreadsheet
  13. 1.2 What do management data look like? 3. On personal

    laptop in GIS project
  14. 1.2 What do management data look like? 4. Database behind

    a (web) application
  15. 1.2. Issues related to management data EU IAS regulation Data

    exchange format
  16. 1.2. Issues related to management data EU IAS regulation

  17. 1.2. Issues related to management data 1. Management reporting is

    performed with different objectives and at different levels a. Within managerial organisations b. For project funders (e.g. Life) c. Upscaling needed for international reporting 2. Not all management actions are recorded 3. Not centrally stored within organisation 4. No flexibility in recording management of different taxa 5. Management data is not consistently recorded and prone to interpretation 6. Management data is not interoperable within and between organisations 7. Management data is not open
  18. 1.3 The LIFE RIPARIAS perspective

  19. 1.3 The LIFE RIPARIAS perspective Goals 1. Improve data flows

    from surveillance systems 2. Develop clear guidelines and objective criteria for prioritising management actions ◦ rapid eradication ◦ containment of populations ◦ maintenance of pest free areas 3. Improve data flows from management actions to policy-makers by monitoring and assessing IAS management effectiveness in support of the EU IAS reporting regulation 4. Promote the replication of the evidence-based workflow for IAS management decision making in Europe
  20. 1.3 The LIFE RIPARIAS perspective Action A.2 Improve data flow

    for management reporting 1. A.2.1 Business analysis of IAS management reporting with managers 2. A.2.2 Develop a system to report on management actions & effectiveness Survey of current field management data systems: Which species are managed? How are management methods described? management impact, non-target effects and management effort Which technology/application is used to enter and store field management data? What is the management data flow within the organization? Are the field management data compliant with international standards? Who has access to the management data?
  21. 1.3 The LIFE RIPARIAS perspective Solution 1. Start developing an

    open and community driven data exchange format 2. Generic enough to fit most of the management registration needs 3. Targeted enough to be fit-for-purpose for EU Reporting Issues 1. Many managers use already a reporting system (typically expensive and closed): data model not present, ad hoc 2. Are managers willing to change report system? Choice at organization level
  22. 2. Data exchange format 1. Data exchange format: concept 2.

    Example 1: Darwin Core Archive 3. Example 2: camtrapdp
  23. 2.1 Data exchange format: concept 1. Data can be shared

    between different entities 2. A good exchange format: low information loss while (un)packaging format A standard packaging Format B standard unpackaging A B
  24. 2.2 Example 1: Darwin Core Archive (DwC-A) 1. Standard for

    packaging and publishing biodiversity data 2. A DwC-A contains a number of text files, including data tables formatted as csv 3. Star schema with a single core table and optional extension tables
  25. 2.2 Example 1: Darwin Core Archive (DwC-A) 1. It uses

    Darwin Core (DwC) terms. Examples: scientificName, estabilishmentMeans, pathway https://dwc.tdwg.org/terms/
  26. 2.2 Example 1: Darwin Core Archive (DwC-A) DwC-A is the

    download format of GBIF and OBIS
  27. 2.3 Example 2: Camtrap DP 1. “Camera Trap Data Package”

    2. Designed to capture all essential data and metadata of a single camera trap study 3. Model to exchange camera trapping data 4. Format to exchange camera trapping data https://bit.ly/3JvdPB4
  28. 2.3 Example 2: Camtrap DP https://bit.ly/3JvdPB4 gbif.org/occurrence/3045046810 gbif.org/occurrence/3045043163 Model 1.

    Metadata about project 2. Deployments: start/end date, location, camera info 3. Media: file path/url, timestamp, sequence 4. Observations: blank, or animal of certain species, count, sex, ... Project / Study img 1 grey heron img 2 grey heron img 3 blank seq 1 moorhen seq 1 coot
  29. https://bit.ly/3JvdPB4 Format 1. Metadata as datapackage.json ◦ Project metadata ◦

    Package structure 2. Deployments as csv 3. Media as csv 4. Observations as csv 2.3 Example 2: Camtrap DP datapackage .json media.csv observations .csv deployments .csv sequenceID mediaID deploymentID deploymentID
  30. https://bit.ly/3JvdPB4 Using Frictionless Standards 1. Developed by Frictionless Data 2.

    Set of open specifications (JSON schemas) that can be combined: 3. Data Package for datasets 4. Data Resource for data files 5. Table Schema for table fields 6. Simple, machine-usable & extensible 2.3 Example 2: Camtrap DP
  31. Table of content 1. The IAS/wildlife management data landscape 2.

    Data exchange format 3. Draft of a data exchange format for IAS management 4. The trajectory towards an adopted standard
  32. 3. Draft of a data exchange format for IAS management

    1. Data model and format 2. Details
  33. 3.1 Data model and format Tabular data (tables) Model 1.

    Metadata about project: project title, organizations, start, end, target taxa, … 2. Actions: type, start/end datetime, organism target, organism quantity (removed) 3. Evaluations: datetime, descriptive evaluation, organism target, organism quantity (present) 4. Persons: name, email, organization, role,
  34. 3.2 Model and format overview Format 1. Metadata as datapackage.json

    ◦ Project metadata ◦ Package structure 2. Locations as csv 3. Actions as csv 4. Evaluations as csv 5. Persons as csv actions.csv evaluations.csv locations .csv locationID locationID persons .csv fieldManagerID fieldExectuorID evaluatorID taxa.csv taxonID taxonID Datapackage .json
  35. 3.3 Details https://bit.ly/3qBjazw

  36. 3.3 Details Table Mandatory field Controlled vocabulary field Locations locationName

    locationType locationWKT Actions mainType taxonID locationID startDate endDate organismTarget organismQuantityType organismQuantity organismQuantityUnit mainType subType organismTarget organismQuantityType organismQuantityUnit
  37. 3.3 Details Table Mandatory Controlled vocabulary Evaluations evaluationID taxonID locationID

    evaluationDate evaluation evaluationTime evaluatorID organismTarget organismQuantityType organismQuantity organismQuantityUnit organismTarget organismQuantityType organismQuantityUnit Taxa taxonID scientificName taxonRank taxonRank Persons email organizationShortName organizationLongName role
  38. Table of content 1. The IAS/wildlife management data landscape 2.

    Data exchange format 3. Draft of a data exchange format for IAS management 4. The trajectory towards an adopted standard
  39. 4. The trajectory towards an adopted standard 1. Community building

    2. The “use case” circle 3. TDWG 2022
  40. 4.1 Community building 1. This kick-off workshop 2. Nota about

    this workshop 3. 2nd LIFE MICA - RIPARIAS workshop (13/07/2022) 4. Take to TDWG 2022 session
  41. 4.2 The “use case” circle 1. Share your own use

    case 2. Mapping exercise 3. Improve data exchange format Share Map Improve
  42. 4.3 TDWG 2022 1. Slogan: “Stronger Together: Standards for linking

    biodiversity data” 2. When: 17–21 October 2022 3. Where: Sofia, Bulgaria 4. Call for organized sessions: deadline 15 April 2022
  43. Thank you Damiano Oldoni Jasmijn Hillaert Tim Adriaens 0000-0003-3445-7562 0000-0002-3761-8846

    0000-0001-7268-4200 Oldoni, Hillaert & Adriaens (2022) The need for a data exchange format on IAS / wildlife management. Presentation. https://bit.ly/3NkmNn8