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Data-Intensive Research Workshop: Soliciting questions

What are the key questions that you would like answered at the workshop, by someone or by future research? Please feel free to ask anything from very specific questions about methods, technologies, and ideas people have presented, to fundamental questions that may take decades to answer. Please give each group you add a heading and sign it so we can attribute them.

Contents

How should we partition DIR?

We need to partition as thinking about or conducting research in the whole space is infeasible?

Does it divide according to the type of scale addressed: volume, rate of change, complexity, etc? Does it divide by the application domain: earth systems, biology, medicine, etc? Does it divide by the technology used: databases, workflows, map-reduce, etc?

None of these seem satisfactory. Can we find a conceptual framework into which all major aspects of DIR will fit and that allows focus and viewpoints to develop and make progress? A requirement is that it eventually allow research starting from different foci or researchers talking from different viewpoints to work well together. Not too much to ask really.

--MalcolmAtkinson 14:42, 5 March 2010 (UTC)

What are the infrastructure and programming challenges for DIR?

The talks generally have focused on successes, but not on the challenges of what needs to be done. So, specific questions that would be interesting to have all the authors answer:

  • Where does the existing infrastructure limit what you are now doing or what you think you will be doing in the future?
  • What would you like the cyberinfrastructure community to develop that would make your life easier?
  • How do you program your system/solution now? What are the problems with this?
  • What would you like the programming community to develop that would make your life easier? (where programming community is a general term that includes tool developers)


--Daniel S. Katz 11:49, 18 March 2010 (UTC)

== Comment on Dan:

These are interesting questions Dan -- I guess in the last question, do you really mean "programming community" -- or do you mean "tool developers". I guess many of the people who spoke at the event today were not programmers. It was interesting to see, for instance in the DataOne project that a collection of pre-developed tools were being included within a Toolkit. I guess one of the limitations with such an approach is that a tool (software) is often quite complex to use, and unless usage is made clear, is often not used. Especially if a software tool contains a number of possible capabilities where only a fraction of these are actually utilised.

What is A Definition of "Data Intensive Research"?

The talks in the workshop were great and 'intensive'. I am here to seek for a definition: What is "Data Intensive Research"? To me, it seems several key elements that are related to "Data Intensive Research":

  • Tools for data duration across heterogeneous and distributed platforms on a large scale
  • Smart algorithms for facilitating data analysis over a complexity dimension space
  • Agile architectures for facilitating data intensive applications

Can someone provide a more comprehensive definition?

--LiangxiuHan 07:49, 19 March 2010 (UTC)

How should we prepare DIR professionals?

For computer scientists: Is it enough with teaching the fundamental Computer Science that we have been teaching for years, and then only provide advanced short courses on the specificities of DIR? Or do we have to change the way we teach algorithms, databases, knowledge representation, etc.

For the other scientists: How are we changing the way that we explain how Science is done in different areas? how much should they see of the underlying infrastructure?

--OscarCorcho 14:20, 19 March 2010 (UTC)

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