Ocean Data Survey Sweden 2023 - Survey response data
SND-ID: 2024-46. Version: 1. DOI: https://doi.org/10.5878/agvb-9w53
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Creator/Principal investigator(s)
Jurie Germishuys - Combine Control Systems AB
David Rayner
- Swedish National Data Service
Torsten Linders
- University of Gothenburg, Department of Marine Sciences
Robin Teigland
- Chalmers University of Technology, Technology Management and Economics
Research principal
Description
Ocean Data Survey Sweden 2023 aimed to highlight the trends, technologies, and challenges in using ocean data in Sweden in 2023.
Ocean Data Survey Sweden 2023 was an online survey conducted 5 December 2023 to 15 January 2024. The survey was anonymous and contained 32 multiple choice questions. The survey was launched in a mail-out to the Ocean Data Factory Sweden email contact list (which contained a link to the survey), which was then re-shared by recipients to their own contact networks. The survey was open - anyone with the link could respond.
The survey included both questions about the respondent's individual relation with ocean data (eg "Approximately how many years of experience with ocean data do you have?") and about the respondent's organization (eg. "What is the main type of ocean data your organisation collects?"), but because the survey was anonymous there was no way to limit responses to one-response-per-organization. The responses are subjective self-assessments, not necessarily corresponding with the official view of the organizations these individuals work at.
Twenty-five
Ocean Data Survey Sweden 2023 was an online survey conducted 5 December 2023 to 15 January 2024. The survey was anonymous and contained 32 multiple choice questions. The survey was launched in a mail-out to the Ocean Data Factory Sweden email contact list (which contained a link to the survey), which was then re-shared by recipients to their own contact networks. The survey was open - anyone with the link could respond.
The survey included both questions about the respondent's individual relation with ocean data (eg "Approximately how many years of experience with ocean data do you have?") and about the respondent's organization (eg. "What is the main type of ocean data your organisation collects?"), but because the survey was anonymous there was no way to limit responses to one-response-per-organization. The responses are subjective self-assessments, not necessarily corresponding with the official view of the organizations these individuals work at.
Twenty-five individuals responded, a few choosing not to respond all questions. Show less..
Data contains personal data
No
Language
Unit of analysis
Population
The online survey was open to anyone to respond to, but outreach activities promoting the survey targeted all organisations and individuals based in Sweden or active in Sweden.
Time Method
Sampling procedure
Time period(s) investigated
2023-12-05 – 2024-01-15
Variables
32
Number of individuals/objects
25
Data format / data structure
- Mode of collection: Self-administered questionnaire: web based
- Time period(s) for data collection: 2023-12-05 – 2024-01-15
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Data collector:
University of Gothenburg
- Number of responses: 25
- Source of the data: Population group
Geographic spread
Geographic location: Sweden
Funding
-
Funding agency:
VINNOVA
- Funding agency's reference number: 2021-03642_Vinnova
- Project name on the application: Ocean Data Factory Sweden
- Funding information: Ocean Data Factory Sweden (ODF) makes it possible for Sweden to be a global leader for sustainability and innovation in the Blue Economy, and thus contributes to the UN decade for ocean for sustainable development 2021-2030.
Research area
Information technology (CESSDA Topic Classification)
Computer and information science (Standard för svensk indelning av forskningsämnen 2011)
Oceanography, hydrology and water resources (Standard för svensk indelning av forskningsämnen 2011)
Information society (CESSDA Topic Classification)
Ocean Data Factory Sweden (2024). Ocean Data Survey Sweden 2023. Zenodo. https://doi.org/10.5281/zenodo.10684858
DOI:
https://doi.org/10.5281/zenodo.10684858
