It sounds like dump question but as a beginner, I'm really getting confuse.

For my academic thesis, I choose a conference paper on Big Data in Healthcare field. Now, problem is to get the Data sets.

I can't find any resources to download the data sets to work on it. When I google it, people suggested some resources which are really good but those file is not Big to call Big Data. I'm really confuse in this point and can't get right answer on this from anyone.

I was thinking, may be we work on small batch of data sets and further apply the models on Big Data in production sphere. However, it's just an assumption. I want to know, for thesis or analytical research in academic level, can we get real life Big Data sets to download for free?

Please correct me if I'm missing something. Thanks in advance.

  • $\begingroup$ Have you considered data augmentation techniques? $\endgroup$ Commented Jul 6, 2018 at 17:51
  • 1
    $\begingroup$ Does your university have a medical department? Would it be possible to forge a collaboration? $\endgroup$
    – The Lyrist
    Commented Jul 6, 2018 at 17:53
  • $\begingroup$ @Media No, I haven't consider data augmentation. I know of this but should I consider this at the first place ? $\endgroup$
    – Innat
    Commented Jul 6, 2018 at 18:04
  • $\begingroup$ @TheLyrist No, my university haven't any medical department. $\endgroup$
    – Innat
    Commented Jul 6, 2018 at 18:05
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    $\begingroup$ please mention if you want to notify someone. There is already a community about datasets in stackexchange. I guess you can ask them or see here. $\endgroup$ Commented Jul 8, 2018 at 0:34

1 Answer 1


Take a look at https://goo.gl/yCZvSb, a view of the Gapminder health data sets. Of the 519, you may find one suitable.

For purposes of your thesis, I'd encourage you to think of big data in terms of high-dimensional data with n >> the typical clinical trial. I'd be very surprised if you found health-related observational data other than vital statistics, such as number of births/deaths that involved even 10^9 scale data.


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