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DANS - Data Archiving and Networked Services

 

Het tweede data station van DANS is live. Onderzoekers uit de sociale en geesteswetenschappen kunnen hun datasets zelf digitaal archiveren: veilig, vindbaar en voorzien van essentiële informatie in het DANS Data Station Social Sciences and Humanities: https://ssh.datastations.nl.
Lees hier meer over dit nieuwe data station.

Ook archeologische data deponeer je niet meer in EASY. Deze data kun je zelf digitaal archiveren in het DANS Data Station Archaeology: https://archaeology.datastations.nl.

 

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LOD Laundromat (archival package 2016/06)

Cite as:

Beek, MSc W.G.J. (VU University Amsterdam); Rietveld, MSc L. (VU University Amsterdam); Schlobach, Dr. S. (VU University Amsterdam) (): LOD Laundromat (archival package 2016/06). DANS. https://doi.org/10.17026/dans-znh-bcg3

2016-06-22 Beek, MSc W.G.J. (VU University Amsterdam); Rietveld, MSc L. (VU University Amsterdam); Schlobach, Dr. S. (VU University Amsterdam) 10.17026/dans-znh-bcg3

The LOD Laundromat provides access to a large subset of Linked Open Data (LOD) that is published in today's LOD Cloud. It automatically scrapes and cleans 650 thousand datasets containing over 38 billion statements.
The cleaned data is converted to a standards-compliant format that is optimized for reuse. The data cleaning process cleans hundreds of millions of 'stains' from the data, including syntax errors, duplicate statements, and unnamed nodes. The resulting datasets are republished in a uniform format and are indexed for fast search & retrieval via a publicly accessible web service. The LOD Laundromat data collection allows researchers to access large quantities of data from different domain, including humanities, health, and social sciences.

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