talk · Thursday 24 September · 09:59–⁠10:13 · SAL B

Operationalising biodiversity DT ecosystems through assessment-driven service mapping and reusable tools and workflow integration

Syrine Ben Aziza · Operationalizing Biodiversity Digital Twins within Data Space Ecosystems

Recording time 1:53:54–2:10:12Open on Vimeo ↗

Summaries and key moments are machine-produced. Check the recording for the speaker’s exact words.

The short versionA simple, purpose-first assessment that maps a team's needs and capabilities to an inventory of existing tools helps digital twin projects reuse rather than rebuild.

Overview

What this was about

Syrine Ben Aziza argued that biodiversity digital twin projects keep producing tools that are hard to find, understand and adopt once funding ends, so similar solutions get rebuilt. TNO's 'assessment tech' approach pairs 'what is needed' (purpose, stakeholders, capabilities and maturity) with 'what is available' (solutions and resources) through five steps: define context, compare capabilities with needs, identify gaps and constraints, match goals to options, and check feasibility, iteratively. She described a use case guide in BioDT for teams to assess their twin's maturity and ambition, and in DTO-BioFlow an inventory of existing tools tagged by technicalities, infrastructure needs and limitations matched to demonstrator use cases' needs gathered by questionnaire; next steps are automation in the Digital Twin of the Ocean context and eventual standardisation.

Why it matters. Tool reuse and sustainability are chronic problems in project-funded biodiversity infrastructure; a lightweight assessment method targets the non-technical barriers of discovery, expertise and adoption.

Key ideas

In the room

  • Tools built 'in a bubble' for specific contexts are difficult to find, reuse and adopt; documentation is often not understood by domain scientists without IT support.
  • Resource and maintenance requirements deter adoption, leading to duplicated solutions and a cycle of prototypes.
  • The approach asks 'what is needed' (purpose, stakeholders, capabilities, maturity) and 'what is available' (solutions, resources), then maps them to reveal gaps.
  • Five steps: define current context; compare capabilities with needs; identify gaps and constraints; match goals to options; check feasibility of implementation, with feedback between steps.
  • In BioDT, a use case guide let teams assess their twin's state and ambition (e.g. whether a dynamic twin is actually needed) before technical decisions.
  • In DTO-BioFlow, existing tools were summarised with keyword tags (technicalities, infrastructure needs, limitations), and demonstrator needs were gathered by structured questionnaire and mapped into thematic areas.
  • Next: make the approach more automated and validated in the Digital Twin of the Ocean / Mission Ocean context (ASR 'Oceanity'), and eventually standardise repeatable patterns.
Jump in

Notable moments

In their words

Transcript

Automatically generated captions can contain mistakes, especially in names and technical terms. Times are relative to the room recording.

Read the transcript ↓
Loading transcript…
Programme abstract

Operationalising biodiversity DT ecosystems through assessment-driven service mapping and reusable tools and workflow integration

Syrine Ben Aziza

Operationalising biodiversity Digital Twin (DT) ecosystems requires interoperable, reusable, and scalable integration of data, services, and workflows across distributed environmental infrastructures. This work proposes an assessment-driven framework for biodiversity and bioflow DT ecosystems based on service mapping, reusable analytical components, and workflow integration to support operational deployment across biodiversity and marine domains. The approach, tested through HE BioDT and continued in HE BioFLow, systematically identifies, evaluates, and connects datasets, models, computational services, and stakeholder requirements into interoperable workflows adaptable across applications and regions.

The assessment framework reduces fragmentation between platforms and solutions while enhancing transparency, reproducibility, and findability of biodiversity DT implementations. We propose an approach integrating environmental resources through standardised interfaces and modular tools, where assessment-driven matching enables identification of suitable execution and operational environments.

In this context, Data Spaces can benefit from biodiversity DT ecosystems by providing operational environments where FAIR data, services, and analytical workflows can be shared, reused, and connected across domains.

The proposed framework contributes to the objectives of the European Mission “Restore our Ocean and Waters” by supporting assessment of DT ecosystems for improved environmental intelligence and evidence-based decision support for marine and coastal resilience.

Submitted to the conference programme before the talk, so the talk itself may differ.