Strengthening molecular biodiversity research and monitoring in Norway – connecting tools, data and people

<ns3:p>Background Norway’s diverse ecosystems and strong research community are well-positioned to leverage molecular approaches (DNA barcoding, eDNA, whole-genome sequencing) for biodiversity research and monitoring. However, progress is constrained by gaps in data accessibility, standardisation, and interoperability across molecular, ecological, and biobank datasets. Methods ELIXIR’s Norwegian Molecular Biodiversity Working Group mapped national actors and networks through a desk review (2024–2025) and conducted a national survey (58 questions; open from 18 February to 8 March 2024) targeting data management, standards, tooling, infrastructures, and training. The survey was implemented in Nettskjema and received 58 responses from biodiversity-related researchers. Results We identified 19 Norwegian institutes active in molecular biodiversity and 28 relevant networks, with 11 networks involving three or more institutes. The survey results highlight gaps between policy and practice: 60% of respondents were familiar with the FAIR principles, but only 29% consistently made data fully open or FAIR-compliant. Data linkage with physical specimens was often reported as missing (38% of respondents), and taxonomic assignment was frequently challenging (39.3%). Most researchers reuse published datasets (90%), but data discovery and reuse are hindered: only 41% find it easy to locate relevant data, 32% struggle to find appropriate sequence databases, 54% cite insufficient metadata, and 72% need to harmonise combined datasets. Tool discoverability and documentation were limited (32% knew bio.tools; 5% WorkflowHub; 32% agreed tools are well documented and user-friendly). Data publication is not straightforward (63.8% find it hard or answered neutral). Conclusions Norway can strengthen molecular biodiversity research by 1) connecting molecular and ecological data, collections, and biobanks using persistent identifiers; 2) adhering to international metadata standards (e.g., DwC, MIxS) and rewarding data stewardship; 3) consolidating national collaborative networks; and 4) building capacity through targeted training and dedicated data steward roles. Implementing these measures will enhance interoperability, FAIR data sharing, and Norway’s leadership in biodiversity research and conservation.</ns3:p>

Institutions

Publication Details

Journal
F1000Research
Published
2026-05-19
DOI
https://doi.org/10.12688/f1000research.179210.1
Primary Topic
Environmental DNA in Biodiversity Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Strengthening molecular biodiversity research and monitoring in Norway – connecting tools, data and people

F1000Research
Environmental DNA in Biodiversity Studies
article

Strengthening molecular biodiversity research and monitoring in Norway – connecting tools, data and people

article en

Abstract

<ns3:p>Background Norway’s diverse ecosystems and strong research community are well-positioned to leverage molecular approaches (DNA barcoding, eDNA, whole-genome sequencing) for biodiversity research and monitoring. However, progress is constrained by gaps in data accessibility, standardisation, and interoperability across molecular, ecological, and biobank datasets. Methods ELIXIR’s Norwegian Molecular Biodiversity Working Group mapped national actors and networks through a desk review (2024–2025) and conducted a national survey (58 questions; open from 18 February to 8 March 2024) targeting data management, standards, tooling, infrastructures, and training. The survey was implemented in Nettskjema and received 58 responses from biodiversity-related researchers. Results We identified 19 Norwegian institutes active in molecular biodiversity and 28 relevant networks, with 11 networks involving three or more institutes. The survey results highlight gaps between policy and practice: 60% of respondents were familiar with the FAIR principles, but only 29% consistently made data fully open or FAIR-compliant. Data linkage with physical specimens was often reported as missing (38% of respondents), and taxonomic assignment was frequently challenging (39.3%). Most researchers reuse published datasets (90%), but data discovery and reuse are hindered: only 41% find it easy to locate relevant data, 32% struggle to find appropriate sequence databases, 54% cite insufficient metadata, and 72% need to harmonise combined datasets. Tool discoverability and documentation were limited (32% knew bio.tools; 5% WorkflowHub; 32% agreed tools are well documented and user-friendly). Data publication is not straightforward (63.8% find it hard or answered neutral). Conclusions Norway can strengthen molecular biodiversity research by 1) connecting molecular and ecological data, collections, and biobanks using persistent identifiers; 2) adhering to international metadata standards (e.g., DwC, MIxS) and rewarding data stewardship; 3) consolidating national collaborative networks; and 4) building capacity through targeted training and dedicated data steward roles. Implementing these measures will enhance interoperability, FAIR data sharing, and Norway’s leadership in biodiversity research and conservation.</ns3:p>

F1000ResearchVol. 15
University of Oslo (NO), Norwegian University of Science and Technology (NO), Norsk Teknisk Museum (NO), Norwegian Institute of Marine Research (NO), Norwegian Institute for Water Research (NO), Norwegian Institute for Nature Research (NO), Institute of Marine Research (ES), University of Bergen (NO), Norwegian University of Life Sciences (NO), UiT The Arctic University of Norway (NO)
Norges Forskningsråd
Openalex Percentile: Top 5%
Environmental DNA in Biodiversity Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.