{
  "id": 8159,
  "title": "Publication restrictions",
  "url": "/competitions/decoding-the-human-brain/discussion/8159",
  "author_name": "kartal",
  "post_date": "2014-05-14T21:52:26.387000",
  "votes": 0,
  "comment_count": 4,
  "views": 2034,
  "content": "<p>I wanted to check what sort of publication restrictions exist for the data set used in this competition. If our entry does not win but we still think our approach is interesting worthy of publication can we publish our work or not?</p>",
  "messages": [
    {
      "id": 63476,
      "postDate": "2015-02-03T10:09:32.880Z",
      "content": "<p>If you know any other published article who have used this data set, please refer it to me.&nbsp;</p>"
    },
    {
      "id": 44587,
      "postDate": "2014-05-15T09:19:22.593Z",
      "content": "<p>Hi,</p>\n<p>The dataset of the competition is released under a very permissive Creative Commons license (see the <a href=\"https://www.kaggle.com/c/decoding-the-human-brain/rules\">rules page</a>), so you are free to use it. We encourage the use of the dataset for other purposes than this competition - we designed its distribution license specifically to support that. If your work will be worthy of publication, we will be very happy.</p>\n<p>Consider that we are planning to prepare an article as a follow-up of the competition. We will give more details later on. Anyway, the idea is to describe the problem of decoding across subjects and then to present different approaches to solve it. We would be extremely happy if (at least some of) the participants of the competition want to join this initiative, so that they can contribute the article with their method and co-author the work. This initiative is meant for the winners as well as for all other participants with interesting methods. So you may be interested in this opportunity.</p>"
    },
    {
      "id": 44558,
      "postDate": "2014-05-14T21:52:26.387Z",
      "content": "<p>I wanted to check what sort of publication restrictions exist for the data set used in this competition. If our entry does not win but we still think our approach is interesting worthy of publication can we publish our work or not?</p>"
    },
    {
      "id": 44688,
      "postDate": "2014-05-17T00:20:50.800Z",
      "rawMarkdown": "",
      "isDeleted": true
    },
    {
      "id": 44594,
      "postDate": "2014-05-15T09:59:23.530Z",
      "rawMarkdown": "",
      "isDeleted": true
    }
  ],
  "comments": [
    {
      "id": 63476,
      "author_name": "",
      "author_url": "",
      "post_date": "2015-02-03T10:09:32.880000",
      "content": "<p>If you know any other published article who have used this data set, please refer it to me.&nbsp;</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 44587,
      "author_name": "Emanuele",
      "author_url": "",
      "post_date": "2014-05-15T09:19:22.593000",
      "content": "<p>Hi,</p>\n<p>The dataset of the competition is released under a very permissive Creative Commons license (see the <a href=\"https://www.kaggle.com/c/decoding-the-human-brain/rules\">rules page</a>), so you are free to use it. We encourage the use of the dataset for other purposes than this competition - we designed its distribution license specifically to support that. If your work will be worthy of publication, we will be very happy.</p>\n<p>Consider that we are planning to prepare an article as a follow-up of the competition. We will give more details later on. Anyway, the idea is to describe the problem of decoding across subjects and then to present different approaches to solve it. We would be extremely happy if (at least some of) the participants of the competition want to join this initiative, so that they can contribute the article with their method and co-author the work. This initiative is meant for the winners as well as for all other participants with interesting methods. So you may be interested in this opportunity.</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 44688,
      "author_name": "",
      "author_url": "",
      "post_date": "2014-05-17T00:20:50.800000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 44594,
      "author_name": "",
      "author_url": "",
      "post_date": "2014-05-15T09:59:23.530000",
      "content": "",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "63476": "",
    "44587": "",
    "44558": "",
    "44688": "",
    "44594": ""
  }
}