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DANS Colloquium on Research and Data 5: launch of Research Data Journal, a new online magazine for research data

The DANS R&D colloquium is a meeting place for researchers, archivists and ICT specialists. Organized by DANS, its focus is on research data and what you can do with it. You are invited to participate in discussing the challenge to keep data fixed and to invent tools that can evolve fast in a landscape that is on the move. If you have done projects in preserving and reusing data we find a slot for you to share your experiences.

  • DANS Colloquium on Research and Data 5: launch of Research Data Journal, a new online magazine for research data
  • 2015-10-20T14:30:00+02:00
  • 2015-10-20T17:00:00+02:00
  • The DANS R&D colloquium is a meeting place for researchers, archivists and ICT specialists. Organized by DANS, its focus is on research data and what you can do with it. You are invited to participate in discussing the challenge to keep data fixed and to invent tools that can evolve fast in a landscape that is on the move. If you have done projects in preserving and reusing data we find a slot for you to share your experiences.

Theme October 20: Launch of Research Data Journal, a new online magazine for research data

DANS and Brill are pleased to announce their collaboration concerning a new online magazine for research data: Research Data Journal for the Humanities and Social Sciences, which will be launched during an event in the DANS Research & Data Colloquium.

Program

14.30-15.00          Coffee and tea

15.00-15.10          Peter Doorn - Welcome

15.10-15.25          Leen Breure - Form, visualization and content of data publications

15.25-15.55          Piek Vossen - Open science and open data for replicability and reproducibility

15.55-16.10          Sam Bruinsma - A Publisher’s Perspective on Data Publication 

16.10-17.00          Drinks

More information

Please find the new Data Journal online. We invite you to join us at the official launch of this new magazine. If you want to attend, please sign in. If you have any questions, ask Dirk Roorda. This lecture will take place at DANS, Anna van Saskenlaan 51, The Hague.

About the speakers

Peter Doorn is director of DANS.

Leen Breure is director of ScieMedia Multimedia Publishing since 2014. Before that he was associate professor at the University of Utrecht, teaching and research in content engineering, reuse of content, data modeling and multimedia, with cultural heritage and cultural landscapes as application fields in particular. He has joined forces with DANS in the area of enhanced digital publications and content related projects.

Abstract: A data journal contains data papers, i.e. short publications that give a profile of a certain data set by describing the related research problem, methods and context. In contrast to a regular scientific paper real conclusions are not required. The emphasis is on showcasing the data set itself, which implies more than just describing its characteristics. In case of an online digital data journal a reader should be able to experience, explore and - at elementary level - test the data directly while reading. This requires a journal format that supports multimedia, visualization, interactivity and some form of direct access to the data - in other words, not a replica of a printed publication.

Piek Vossen is full professor Computational Lexicology at the Faculty of Arts, department Language, Literature and Communication at VU University Amsterdam. He is Head of the Computational Lexicology & Terminology Lab (CLTL) and Founder and President of the Global WordNet Assocation (GWA). Since 2014 he is leading his Spinoza Price Project Understanding Language By Machines.

Abstract: Data observations become more and more important in science now the availability of data grows. In the field of computational linguistics unsupervised learning from large collections of texts is a booming field. Large collections of text can be used to learn what words have close meanings because similar words can be observed in their neighbourhood. However, it is not clear what ‘close meanings’ means and therefore these observations do not lead to clear conclusions. Data science should follow the rules of scientific hygiene to the same extent as experimental science. We report on a core issue in Computational Linguistics: the replicability of similarity measurements of words and the role of the availability of shared data and resources. Specifically, we look into Wordnet similarity and similarity experiments from distributional models and we look into the Dutch case and the availability of the Dutch wordnet. WordNet is the most-cited lexical database that is not only massively used in research but also in technology development.

Sam Bruinsma is Senior Vice President Business Development, Brill.

Slides

See slides Leen Breure.

See slides Peter Doorn.

See slides Piek Vossen.

See slides Sam Bruinsma.

Wanneer
20-10-2015 van 14:30 tot 17:00 (Europe/Amsterdam / UTC200)
Waar
Den Haag
Naam contactpersoon
Telefoon contactpersoon
+31 6 13 66 50 23
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