First mockpus of the DDI

[ypriverol]

This are the first Mockups of the DDI Pilot Project:

• DDI Browser

  

• DDI Front Page

  

• DDI Front Page

  

[ypriverol]

@baimingze we should have a final definition about the way we will show this information, I'm now working on a possible visualisation mockup.

[ypriverol]

some interesting examples:

• https://grokker.com/
• http://mashable.com/2007/05/15/16-awesome-data-visualization-tools/
• http://www.google.com/trends/
• http://www.searchblox.com/visualization-worth-thousand-search-results

[baimingze]

Yes, they are beautiful!

On Mon, Mar 16, 2015 at 7:32 AM Yasset Perez-Riverol < notifications@github.com> wrote:

some interesting examples:

• https://grokker.com/
• http://mashable.com/2007/05/15/16-awesome-data-visualization-tools/
• http://www.google.com/trends/

— Reply to this email directly or view it on GitHub https://github.com/PSI-PROXI/datadiscoveryindex/issues/1#issuecomment-81465324 .

[ypriverol]

• http://www.visualizing.org/full-screen/46075
• http://visualization.geblogs.com/visualization/hmchallenge/
• http://visualization.geblogs.com/visualization/network/

[ypriverol]

@baimingze @noedelta @ruiwanguk Hi: I think because the data is saw diverse we can start with this approach. If you have one second tomorrow I would like to discuss the major advances of use this visualisation search. It would follow the amazon approach (http://www.amazon.co.uk/s/ref=nb_sb_noss_2?url=search-alias%3Daps&field-keywords=wheel). Some of the main advantages of this approach are:

• Possibility to add entirely different resources as Amazon resources in DDI can be Proteomics,
  Genomics, Metabolomics, etc.
• Easily search by using multiple filters and facets.
• I have an strong point that we should implement our own scoring and ranking system in top of this for the future. Right now we can show the results like one dataset after another by category. But we should keep this in mind.

Disadvantages:

• Pagination of multiple resources and types. @baimingze in this context is important to have categories like Proteomics, Genomics, Melabolomics, RNA, etc. We need to define this categories in the schema for the B2K partners.