Taking advantage of existing research data - University of Bergen Library Presentation 28/11/2025

You can write unit/affiliation. To change content go to: Menu -> Insert (Mac = Display) -> Header and Footer Taking advantage of existing research data Open Science Webinar 28.11.2025 University of Bergen Library Jenny Ostrop https://doi.org/10.5281/zenodo.17735904 UiB Library Research Data Team Courses and guidance Institutional archive •Open Science DataverseNO: University of Bergen •Open and FAIR Research Data •Data Management Planning More information on our web pages •Data Management in the active phase Open Access to Research Data •Archiving and publishing datasets Data Management Plans •Finding and reusing existing data Contact us: [email protected] UiB Library information resources Managing and sharing research data https://www.uib.no/en/researchdata Objectives ? Questions •The amount of available data is constantly increasing –where can I find these datasets? •Research funders ask for justification why the idea of reusing existing data was discarded –what arguments to use? •How should a dataset be cited? ! Objectives •Identify strategies to locate datasets in your field Agenda •Benefits of reusing datasets •Prerequisites for data reuse - FAIR principles •Data citation •Dataset discovery strategies Incentives for data sharing The data used as the basis for scientific articles should be made accessible as soon as possible, and never later than at the time of publication. The Research Council of Norway’s Policy for Open Access to Research Data (2017) Research and innovation are increasingly driven by access to new and large quantities of data. The Research Council of Norway (2021): How should we share research data? Report and recommendations related to licensing and making research data available. ISBN 978-82-12-03916-2. Forskningsdata er offentlig informasjon. [Research data is public information.] Det Kongelige Kunnskapsdepartmentet (2022): Langtidsplan for forskning og høyere utdanning 2023-2032. Melding til Stortinget, Meld. St. 5. Oktober 2022. The research data life cycle Research projects can: 1. Generate novel data 2. Reuse existing datasets (secondary data) RDMkit – Reuse: https://rdmkit.elixir-europe.org/reusing (CC BY 4.0) Data reuse examples https://doi.org/10.1371/journal.ppat.1000437 https://doi.org/10.1038/s41467-019-11558-2 https://doi.org/10.1093/eurpub/ckw229 https://doi.org/10.1007/s11205-008-9437-y http://researchparasite.com/ Benefits of reusing data •many published datasets contain information that was not followed up in the connected research articles •allows to apply new questions/angles to a published dataset •allows researchers to work with data they would not have the expertise/infrastructure/resources to produce themselves •allows to integrate data from different studies, labs, disciplines,... Data citation •Principles: Attribution & Access –Joint Declaration of Data Citation Principles (JDDCP) –Creative Commons: TASL – Title, Author, Source, License •Many archives contain information how a dataset should be cited https://doi.org/10.18710/ZAPDYR Agenda •Benefits of reusing datasets •Prerequisites for data reuse - FAIR principles •Data citation •Dataset discovery strategies Discovering datasets •Data from the public sector •Data in digital archives & collections •Scientific datasets Dataedo (CC BY ND) Discovering datasets •Data from the public sector (incl. registry data) https://data.norge.no https://data.norge.no https://helsedata.no https://www.microdata.no https://www.microdata.no https://sikt.no/surveybanken Geokjemiske målinger og berggrunnsgeologi https://www.ngu.no/emne/kartinnsyn Verneområder https://artsdatabanken.no/Pages/264269/Kart https://data.europa.eu/en https://data.europa.eu/en https://www.who.int/data/collections https://www.who.int/data/collections https://datacatalog.worldbank.org/home https://datacatalog.worldbank.org/home https://datacommons.org replacing Google Public Data search e.g. Discovering datasets •Data from the public sector •Data in digital archives & collections: –Arkivverket –Library special collections –Museum collections https://www.arkivverket.no/utforsk-arkivene https://www.arkivverket.no/utforsk-arkivene https://marcus.uib.no/home https://marcus.uib.no/home https://digitaltmuseum.no/ https://digitaltmuseum.no/ https://www.europeana.eu Discovering datasets •Data from the public sector •Data in digital archives & collections •Scientific datasets –Data underlying a scientific article –Data not connected to a publication (e.g. negative data) Strategies to find scientific datasets 1. Data underlying a scientific article 2. Data in a relevant community archive 3. Dataset metasearch across archives Datasets underlying articles 1. Data underlying a scientific article –Supplemental material –Data repository 1. Community repositories 2. Institutional repositories 3. Multidisciplinary repositories Datasets underlying articles 1. Data underlying a scientific article –Supplemental material –Data repository identifiers.org PURL Cousijn, Clark et al., 2018: https://doi.org/10.1038/sdata.2018.259 Datasets underlying articles 1. Data underlying a scientific article –Data availability/accessibility statement? https://doi.org/10.1016/j.actpsy.2024.104213 https://doi.org/10.17605/OSF .IO/E7HCR Potthoff et al. (2024): https://doi.org/10.1016/j.actpsy.2024.104213 Dataset: https://doi.org/10.17605/OSF.IO/E7HCR Gallhanger et al. (2023): https://doi.org/10.1080/23311908.2022.2151727 NB! Provided information not sufficient to easily identify dataset Strategies to find scientific datasets 1. Data underlying a scientific article 2. Data in a relevant community archive 3. Dataset metasearch across archives Data metasearch engines 3. Data metasearch engines –Searching across disciplines –Data in institutional archives –Data in multidisciplinary archives ➢Metadata quality is critical! ➢Repository coverage varies ➢Persistent identifiers: datasets with DOI are easiest to find ➢Apply Boolean searching to narrow down or expand results Data metasearch engines •Non-commercial –DataCite –BASE –OpenAIRE •Commercial –Google Dataset Search –Mendeley Data –WOS Data Citation Index NB! ➢Not every search result will e a “real” ataset ➢Some journals deposit articles figures/tables as dataset (e.g. to FigShare) Take-home ➢Reusing existing data can inspire new avenues of research & avoids unnecessary duplication of efforts. ➢FAIR principles are prerequisites for data reuse. ➢In addition to scientific datasets, data from the public sector and data in digital archives can be interesting sources. ➢Scientific datasets are shared in community archives, institutional archives, and general-purpose archives. Open Science webinars Spring 2026 Every 2nd Friday at 10:15 CET, starting January 23rd Will be announced soon: uib.no/en/ub/172314/open-science-webinars uib.no/en/ub/calendar uib.no/en/ferd/calendar [email protected] ???? ! Except where otherwise noted, this work is licensed under the Creative Commons Attribution 4.0 International License