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
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
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?
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
between different entities 2. A good exchange format: low information loss while (un)packaging format A standard packaging Format B standard unpackaging A B
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
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
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
0000-0001-7268-4200 Oldoni, Hillaert & Adriaens (2022) The need for a data exchange format on IAS / wildlife management. Presentation. https://bit.ly/3NkmNn8