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UC 100 — DATA4InnoHof

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Key Information
Title
Sustainable circular bioeconomy: moving concepts into real impact through flexible research data infrastructure and secure dynamic data sharing
Acronym
DATA4InnoHof
Coordinator
Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB Potsdam) (Germany)Research Institute
Duration
15 months
Budget
Not shown at your access level. Hidden
Maturity
Committed
Source
In Proposal
Use Case Summit Pitch
Research Data Infrastructures, Benchmark Datasets & Methods
Sectors
Arable cropLivestock/animal productionDairy
Data Types
Machine sensor dataEarth observation dataFarm Management Information Systems (FMIS) data
SRIA Activities

3.1.2 Data integration and data quality

  • 3.1.2.1 Data acquisition & re-use framework

3.2.4 Data-based solutions for addressing environmental challenges

  • 3.2.4.1 Assess needs for environmental decision support

4.3 Uptake & innovation management (R&I activities)

  • 4.3.1.3 User-friendly data platforms
  • 4.3.1.9 Connect actors for climate-adaptation innovation
Themes
Data infrastructure & governanceClimate & environment
Partners (2)
  • Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB Potsdam)P1
    Coordinator

    GermanyResearch Institute

  • Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB Potsdam)P2

    GermanyResearch Institute

#OrganisationCountryType
P1Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB Potsdam)Coordinator

asennhenn@atb-potsdam.de; bsturm@atb- potsdam.de Introduction This use-case develops a comprehensive data platform for the Leibniz Innovation Farm for Sustainable Bio- economy (InnoHof), a distributed research infrastructure established to demonstrate circular bio-economy approaches. The platform is designed to support interdisciplinary research activities spanning agricultural production systems, downstream bio-economic processes, and environmental functions such as climate change mitigation and biodiversity conservation. By integrating heterogeneous datasets generated across ongoing and future research projects, the platform provides the basis for structured data sharing and evidence-based knowledge transfer to researchers, policymakers, industry, and society. Methodologies The platform will incorporate data from ongoing and future regional, national, and European research projects. These include agronomic and bio-economic process data, natural background information, and sensor data from fields and livestock facilities. Because data usage agreements differ across projects, the platform will implement differentiated access arrangements. In the initial stage, data will be made available to project partners; in a subsequent stage, selected datasets and outputs will be accessible to broader user groups. Platform functionalities, including stakeholder-relevant indicators, will be co-defined by software developers and researchers and refined through iterative feedback sessions. Output • Data Sharing Platform (2027): Platform that provides access for a variety of users to InnoHof data collection. • Benchmark Datasets (2026–2027): Published datasets from InnoHof, made openly available whenever possible. • Annual Progress Reports (2025–2027): Contributions to the AgData Use Case Monitor. Impact The use case establishes the data infrastructure required to support interdisciplinary research and knowledge transfer within InnoHof. By enabling structured access to heterogeneous datasets, it facilitates the assessment of synergies between agricultural production, waste utilisation, wetland systems, climate change mitigation, and biodiversity conservation. The platform is intended to support researchers, policymakers, industry, and society with reliable and reusable research data. What I Can Offer • A use case integrating heterogeneous datasets from agricultural, environmental, and bio-economic research activities. • Practical experience with project-specific data usage agreements and staged data sharing. • Co-development and validation of indicators relevant to multiple stakeholder groups. • Iterative feedback from researchers and future users to improve usability. What I Need • Approaches for integrating heterogeneous research datasets into a common platform. • Solutions for managing variable access and publication conditions. • Exchange on methods for developing stakeholder-oriented indicators and user-centered platform functionalities. • Collaboration with other use cases facing similar challenges in research data management and knowledge transfer.

Source: Annual AgData Use Case Summit 2026 booklet.

Test and experimental facilities (TEF research) data
Models & Macro data
Statistics Registers data
Germany
Research Institute
P2Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB Potsdam)GermanyResearch Institute