SciTransfer
Organization

LIEGRUPPEN FISKERI AS

Norwegian fishing SME providing operational fisheries expertise to EU research on mesopelagic fisheries sustainability and bioeconomy data platforms.

Private fishing companyfoodNOSMENo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
€99K
Unique partners
70
What they do

Their core work

Liegruppen Fiskeri AS is a Norwegian fishing company (SME) based in Straume, near Bergen, one of Norway's main commercial fishing hubs. They participate in EU research consortia as an operational industry partner, contributing real-world fishing expertise, practical knowledge of fishing and processing technology, and on-the-water data that academic partners typically cannot provide. Their project involvement spans a digital bioeconomy data platform and frontier research on mesopelagic (deep-sea) fisheries sustainability, including stock assessment, ecosystem governance, and climate resilience. As a practicing fishing company embedded in large EU research networks, they serve as a bridge between industrial fisheries operations and scientific inquiry into sustainable marine resource management.

Core expertise

What they specialise in

Fisheries operations and fishing technologyprimary
2 projects

Both DataBio and MEESO list fishing and processing technology among their core keyword areas, directly reflecting Liegruppen's operational identity as a commercial fishing company.

Mesopelagic fisheries and deep-sea resource assessmentprimary
1 project

MEESO (2019–2024) targets ecologically and economically sustainable mesopelagic fisheries, with project keywords covering stock assessment, biomass production, biodiversity, and governance.

Bioeconomy data contributionsecondary
1 project

DataBio (2017–2019) was a large EU data-driven bioeconomy platform where Liegruppen represented the fisheries sector use case alongside agriculture and forestry industry partners.

Fisheries governance and sustainability managementemerging
1 project

MEESO keywords include management, governance, climate, and feed and food safety, reflecting growing engagement with policy-facing sustainability frameworks beyond pure fishing operations.

Evolution & trajectory

How they've shifted over time

Early focus
Bioeconomy fisheries data
Recent focus
Mesopelagic fisheries science

In their first H2020 project (DataBio, 2017–2019), Liegruppen contributed fisheries knowledge within a broad bioeconomy context that also covered agriculture and forestry — a generalist industry-data role with no sector specialisation. By their second project (MEESO, 2019–2024), the focus had narrowed sharply to mesopelagic ecosystems, stock assessment, biomass production, and ecosystem governance — a far more specialised and scientifically demanding domain. The shift signals a clear move from serving as a general fishing industry voice toward becoming a specialist industrial partner in deep-sea and mesopelagic fisheries research.

Liegruppen appears to be positioning itself in the emerging mesopelagic fisheries space — a frontier area of European marine science — which makes them a relevant industry partner for future projects targeting deep-sea biomass, blue food systems, or sustainable fishing governance.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European22 countries collaborated

Liegruppen has always joined as a participant, never as coordinator, which is typical for operational industry SMEs contributing sector expertise to academically-led consortia. Despite having only two projects, they have engaged with 70 unique partners across 22 countries, reflecting participation in very large, internationally structured EU consortia rather than small bilateral collaborations. Working with them means bringing a practicing fishing operator into the consortium — a profile that satisfies industry-engagement requirements and provides grounded operational data that research teams find difficult to source elsewhere.

Despite only two H2020 projects, Liegruppen has engaged with 70 unique partners across 22 countries — a network footprint that reflects participation in very large EU research consortia. Their connections span Europe's main fisheries and marine science nations, giving them exposure to a broad cross-section of the European blue economy research community.

Why partner with them

What sets them apart

Liegruppen is a rare participant in EU research: an active, operational fishing company rather than a research institute or consultancy, which means they bring direct on-the-water practice to scientific consortia. Most fisheries research projects struggle to recruit real fishing operators willing to contribute data and industry perspective — Liegruppen fills that role credibly. Their specific engagement with mesopelagic fisheries — a resource with almost no established commercial industry yet — also positions them as an early-mover industrial voice in what may become a significant future fishing sector in Europe.

Notable projects

Highlights from their portfolio

  • MEESO
    One of the first major EU projects to scientifically assess mesopelagic fisheries as a viable and sustainable food and feed resource, combining ecology, stock management, governance, and climate resilience across a 5-year RIA — and one of very few such projects to include an operational fishing company as a partner.
  • DataBio
    A large-scale Innovation Action that built a big-data platform for the bioeconomy sector, with Liegruppen representing the fisheries use case alongside agriculture and forestry industry partners in a broad, cross-sector digital infrastructure initiative.
Cross-sector capabilities
Marine environment and ecosystem monitoringDigital bioeconomy and fisheries data platformsBlue economy and coastal resource governanceFeed and food safety in aquatic food systems
Analysis note: Profile is based on only 2 projects with limited metadata. As an operational fishing company rather than a research institute, their actual scientific capabilities are difficult to assess from project participation data alone. The modest EC funding totals (under EUR 100K across both projects) suggest supporting or advisory roles within large consortia rather than leading research work. Analysis should be treated as indicative pending richer organisational data.