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Web experts ask scientists to use the Web to improve understanding, sharing of their data in science

Par • Actualités • Dimanche 20/03/2011 • 0 commentaires • Version imprimable

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World of Warcraft, Google et Facebook cités comme références pour les chercheurs de ce qu'il faut faire en terme de visualisation de données.

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  • The problem with the current use of visualization in the scientific community, according to Fox and Hendler, is that when visualizations are actually included by scientists, they are often an end product of research used to simply illustrate the results and are inconsistently incorporated into the entire scientific process. Their visualizations are also static and cannot be easily updated or modified when new information arises.
  • as scientists create more and more data with more powerful computing systems, their ability to develop useful visualizations of that data will become more time consuming and expensive with the traditional approaches.
  • Fox and Hendler ask the scientific community to take some important lessons from the Web.
  • Simple Web-based visualization tool kits allow users to easily create maps, charts, graphs, word clouds, and other custom visualizations at little to no cost and with a few clicks of a mouse. In addition, Web links and RSS feeds allow visualizations on the Web to be updated with little to no involvement from the original developer of the visualization, greatly reducing the time and cost of the effort, but also keeping it dynamic.
  • In addition to the ease of using and developing visualization on the Web, visualizations on the Web can also be easily modified, updated, customized, and recreated by other users thanks to the use of Uniform Resource Identifiers. This "linking" of data is a key feature of the new vision that Fox and Hendler outline.
  • Fox and Hendler urge scientists involved in such vital scientific projects to take some tips from large Web companies like Google and Facebook, and even massive online communities such as World of Warcraft. These large companies use new data integration approach such as NoSQL, "big data," and scalable linked data to rapidly expand and maintain their capabilities.

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