Tag Archives: open science

Opening Reproducible Research project is hiring

Opening Reproducible Research (ORR) project at the Institute for Geoinformatics, University of Münster, Germany has announced the following two open positions (deadline for applying October 15, 2015):

If your institute has open positions related to Open Science or Linked Science (or both!), please share news about them to us via @LinkedScience or tomi.kauppinen@aalto.fi and we will add them to LinkedScience.org/jobs.

 

2nd International Workshop on Linked Science 2012—Tackling Big Data will be arranged in Boston, USA

The 2nd International Workshop on Linked Science 2012—Tackling Big Data (LISC2012) will be organized in November, 2012 in Boston, USA.

LISC2012 will be collocated with the 11th International Semantic Web Conference (ISWC2012). The submission deadline for the papers is July 31th, 2012.

Organizers of LISC2012 are

  • Tomi Kauppinen, Institute for Geoinformatics, University of Muenster, Germany. (co-chair)
  • Line C. Pouchard, Scientific Data Group, Oak Ridge National Laboratory, US Department of Energy, USA. (co-chair)
  • Carsten Keßler, Institute for Geoinformatics (ifgi), University of Muenster, Germany. (co-chair)
  • Paul Groth, VU University of Amsterdam, the Netherlands.
  • Natasha Noy, Stanford Medical Informatics, USA
  • Eric G. Stephan, U.S. Department of Energy, Pacific Northwest National Laboratory in Richland, Washington, USA
  • Jun Zhao, Life Science Interface, University of Oxford

More information is now available at the web page of the LISC2012 at LinkedScience.org/events/lisc2012.

You may also follow the twitter feed @LinkedScience and hashtag #LISC2012 for announcements and discussions.

 

Tutorial on SPARQL Package for R

Tools are major enablers of Linked Science. One crucial aspect is how to access and analyze data, and especially how to get only that part of data which is of interest for a given research question.  Linked Data solves the access part, and SPARQL allows to query only a subset of the data. For statistical computing there are tools like R. As a solution to bridge the two communities, those of statistical computing and  semantic web, there is now a SPARQL Package for R, which enables to get data from Linked Data services to R for analysis. At LinkedScience.org you may now find a tutorial on SPARQL Package for R. By following it you can learn:

  1. how to access and query Linked Spatiotemporal Data of the  deforestation statistics related to the Brazilian Amazon Rainforest, and
  2. how to analyze it within R (which is a free software environment for statistical computing).

Spatial.LinkedScience.org opened!

During the last few days and weeks we (Krzysztof Janowicz, Carsten Keßler, Alexander Savelyev and Tomi Kauppinen) created a Linked Data set about the people, papers and proceedings  of the COSIT (Conference on Spatial Information Theory) series.

The result is now opened and can be interacted with at Spatial.LinkedScience.org! We look forward to maintain the portal as a community effort in order to serve back the community, i.e. the researchers of the Spatial Information and Geographic Information Science. 

Would other communities be interested in joining LinkedScience.org? Just contact us, and let us plan it.