Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

1

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

1 result for “SWIB2016”

Learn how ShareScore rates datasets ↗
zenodo40/100

Video of Using LOD to crowdsource Dutch WW2 underground newspapers on Wikipedia, SWIB2016, Bonn, 29-11-2016

<p><strong> </strong> Video registration of presentation about <a title="File:Using LOD to crowdsource Dutch WW2 underground newspapers on Wikipedia, SWIB2016, 29-11-2016.pdf" href="https://commons.wikimedia.org/wiki/File:Using_LOD_to_crowdsource_Dutch_WW2_underground_newspapers_on_Wikipedia,_SWIB2016,_29-11-2016.pdf">Using Linked Open Data to crowdsource Dutch WW2 underground newspapers on Wikipedia</a>, <a href="https://swib.org/swib16/programme.html" rel="nofollow">SWIB2016</a>, 29-11-2016 in Bonn.</p> <p>The video describes a project <a title="nl:Wikipedia:Wikiproject/Verzetskranten" href="https://nl.wikipedia.org/wiki/Wikipedia:Wikiproject/Verzetskranten">to systematically describe and interlink 1,300 Dutch underground newspapers from World War 2</a> on Wikipedia using linked open data.</p> <p>The project extracts contextual information about the newspapers from a book, converts it to structured data, and generates Wikipedia stubs linked to metadata, full texts, and each other.</p> <p>Volunteers are expanding the stubs into full articles, improving access to information about this historical period.</p> <div> <h2>Abstract</h2> </div> <p>During the second World War some 1.300 illegal newspapers were issued by the Dutch resistance. Right after the war as many of these newspapers as possible were physically preserved by Dutch memory institutions. They were described in formal library catalogues that were digitized and brought online in the 1990s. In 2010 the national collection of underground newspapers - some 200.000 pages - was full-text digitized in Delpher, the national aggregator for historical full-texts. Having created online metadata and full-texts for these publications, the third pillar <em>context</em> was still missing, making it hard for people to understand the historic background of the newspapers. We are currently running a project to tackle this contextual problem. We started by extracting contextual entries from a hard-copy standard work on Dutch illegal press and combined these with data from the library catalogue and Delpher into a central LOD triple store. We then created links between historically related newspapers and used Named Entity Recognition to find persons, organisations and places related to the newspapers. We further semantically enriched the data using DBPedia. Next, using an article template to ensure uniformity and consistency, we generated 1.300 Wikipedia article stubs from the database. Finally, we sought collaboration with the Dutch Wikipedia volunteer community to extend these stubs into full encyclopedic articles. In this way we can give every newspaper its own Wikipedia article, making these WW2 materials much more visible to the Dutch public, over 80% of whom uses Wikipedia. At the same time the triple store can serve as a source for alternative applications, like data visualizations. This will enable us to visualize connections and networks between underground newspapers, as they developed over time between 1940 and 1945.</p> <div> <h2>Presentation slides</h2> </div> <ul> <li><a title="File:Using LOD to crowdsource Dutch WW2 underground newspapers on Wikipedia, SWIB2016, 29-11-2016.pdf" href="https://commons.wikimedia.org/wiki/File:Using_LOD_to_crowdsource_Dutch_WW2_underground_newspapers_on_Wikipedia,_SWIB2016,_29-11-2016.pdf">Using LOD to crowdsource Dutch WW2 underground newspapers on Wikipedia</a></li> <li><a href="https://swib.org/swib16/slides/janssen_using_lod.pdf" rel="nofollow">https://swib.org/swib16/slides/janssen_using_lod.pdf</a></li> <li><a href="https://doi.org/10.5281/zenodo.13132987" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13132987</a></li> </ul>

opencc-by-4.0Jul 2024View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record