DATA
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THE NEED OF EFFICIENT DATA COLLECTING AND HANDLING
Access to marine research data is needed to describe and understand the world’s ocean as an integrated system, where physical, chemical, geological and biological processes seamlessly interact with each other. Whilst Swedish marine science is of high quality and internationally important, the lack of coordination of marine research infrastructure is presently hampering scientific development, something which SWERVE aims to tackle. Sweden’s advanced marine research infrastructures in the form of ships, unmanned vessels, and advanced underwater equipment need to be better coordinated for more efficient use. Over the past decades, marine research has become more multidisciplinary, increasing the demand on both research vessel equipment and the coordination of projects.
Through coordinated delivery of Swedish marine data to international programs, the usage and impact of Swedish scientific data internationally is significantly enhanced. The uses of SWERVE data are broad, and include oceanographic research (physical, biological, biogeochemical, geological, seabed mapping, physical, mineralogical and habitats status and characteristics, processes, content of environmental pollutants and nutrients), and climate and ecosystem modelling for prediction and forecasting. Through coordinated delivery of Swedish marine data to international programs, the usage and impact of Swedish scientific data internationally is significantly enhanced. Monitoring programs create long-term data series crucial for environmental and climate research, and such expeditions are often coordinated with research projects for effective data collection and application to support management of ecosystems, sustainable use of marine resources, and coastal planning.
SWERVE vessels data management
The SWERVE vessels belong to organisations that have the mandate to manage the data collected from their infrastructure, and have data policies that align with their operations. SMHI, SU, UmU and SLU have monitoring requirements with existing pathways for data to users (e.g. dBotnia database). Oden is working with SMHI and SND to ensure their data is made available with metadata, quality control and interoperability. SGU collects data with potential national security risk; the data is free, but access is restricted according to Swedish Law. A key action for SWERVE is to develop the governing document for data policy and management to establish expectations for SWERVE data. The data policy will be a common specification by joining the current data policies from each organisation. The work with developing the data policy was started during the summer 2024.
SWERVE will ensure that all data is stored safely and is published openly in near real-time if possible, or within a reasonable time after the research results. SWERVE will ensure that data collected by the Ferrybox, CTD, Weather Station, Argo floats and/or MVP from the vessels will be quality controlled, formatted into a standard format and delivered to international repositories, according to the FAIR data principle. If new variables and/or sensors become part of ‘standardised’ data collection, they will be delivered to international data repositories where and when appropriate. Data that is published through the SWERVE infrastructure is considered public, free to use for everyone, with terms of licence following Creative commons CC0 https://creativecommons.org/publicdomain/zero/1.0/deed.en.
The terms of licence grants the user the right to use, share, modify and build on data, even for commercial use. The general 27/58 SWERVE Description of the Infrastructure 15 exception following information classification of data is that security classified data considered to be geographical information is not made public. Data collected by the ship user for the purpose of a specific research project must still adhere to the SWERVE data management policy. For samples collected that require later analysis through a funded research project, SWERVE will track the publication of the resulting research data. SWERVE will provide advice and guidance to users for the appropriate repositories for their research data (e.g. biological data to SBDI)
The type of data collected by research vessels is broad; a physical sample (e.g. sediment core), biological sample (e.g. plankton), images (e.g. multibeam), or single data points (e.g. water properties). Data can also be classified as underway (i.e. collected while the ship is moving), which means the data can be made available in near-real time (important for weather and marine forecasting).
The type of data collected by research vessels is broad; a physical sample (e.g. sediment core), biological sample (e.g. plankton), images (e.g. multibeam), or single data points (e.g. water properties). Data can also be classified as underway (i.e. collected while the ship is moving), which means the data can be made available in near-real time (important for weather and marine forecasting).
SMHI is National Oceanographic Data Centre (NODC).
SMHI is the Swedish National Oceanographic Data Centre (NODC) within UNESCOs Intergovernmental Oceanographic Commission/International Oceanographic Data and Information Exchange (IOC/IODE). The role includes collection, archiving, quality control, processing, and publishing of oceanographic data from national and international projects and providing national data streams to European data aggregators. SMHI is involved in all SWERVE modules and is working with the SWERVE data.
With support from SMHI, the SG and secretariat is the process of developing the SWERVE data policy and management plan. This will be used to adhere to for all SWERVE data.
Delivery of data to international repositories
01
Collection of data streams
The data producer collects data and metadata from measuring EOV. The aim is to use the data and metadata of measured EOVs to fulfil the interoperability and reusable requirements of the FAIR data principle.
02
Quality control of data streams
A two-step quality control (1) checking data and metadata requirements are fulfilled, (2) checking the quality of data for each EOV by comparing data with historical data and ocean best practices methods will be used to establish known quality of collected data to fulfil the reusable requirement of FAIR data principle.
03
Standardisation of data streams
Each measured EOV is formatted according to well-described international standards. Standardised datasets will be used to fulfil the interoperability and reusable
requirements of the FAIR data principle.
01
Delivery of data NODC
Quality controlled, standardised FAIR compliant data will be submitted to and handled at NODC by a data management team to be packaged according to NODC standards. Potential feedback is to be returned to the data producer. Data and metadata is archived at the NODC and prepared for publication in the national ERDDAP server.
02
Data published on national ERDDAP server
Data packages will be uploaded to the national ERDDAP server and indexed according to metadata. Indexed data packages will be available in standardised formats and for data visualisation. Meeting the requirements of data being findable and accessible according to the FAIR data principle.
03
Dataflow to international repositories
An automatic flow of data from the national ERDDAP server as well as automatic data harvest from major international data repositories will be made possible. The aim is to meet FAIR data principle, increasing
Swedish data to international
repositories and the UN Decade.
01
Online data discovery
interface
A searchable online map-based EMODnet
interfaces will be developed to access all
ship-based data from Swedish research
vessels. Users at national and international
level can access Swedish ship-based
data and metadata
Data policy plan
The data policy plan will be published here when finished.