{
  "id": 231255,
  "title": "How do we define a \"data citation\"?",
  "url": "/competitions/coleridgeinitiative-show-us-the-data/discussion/231255",
  "author_name": "",
  "post_date": "2021-04-07T16:55:59.981664800Z",
  "votes": 8,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I think we need to be precise about what we define as a <em>data citation</em>. </p>\n<p>For instance, the \"<em>Land User and Land Cover database from the university of North Carolina</em>\", will be referenced several times in the study as the \"LULC data\". The authors will casually throw the terminology \"<strong>LULC</strong>\" here and there.</p>\n<p>Given the heavy penalization for getting citations wrong. Do we need to identify every way that this database was mentioned in the same document? In this case:</p>\n<p>Land User and Land Cover database from the University of North Carolina|LULC data|LULC</p>\n<p>Or do we just choose one way to mention it?</p>",
  "messages": [
    {
      "id": "1266318",
      "postDate": "04/07/2021 16:55:59",
      "content": "<p>I think we need to be precise about what we define as a <em>data citation</em>. </p>\n<p>For instance, the \"<em>Land User and Land Cover database from the university of North Carolina</em>\", will be referenced several times in the study as the \"LULC data\". The authors will casually throw the terminology \"<strong>LULC</strong>\" here and there.</p>\n<p>Given the heavy penalization for getting citations wrong. Do we need to identify every way that this database was mentioned in the same document? In this case:</p>\n<p>Land User and Land Cover database from the University of North Carolina|LULC data|LULC</p>\n<p>Or do we just choose one way to mention it?</p>",
      "rawMarkdown": "I think we need to be precise about what we define as a *data citation*. \n\nFor instance, the \"*Land User and Land Cover database from the university of North Carolina*\", will be referenced several times in the study as the \"LULC data\". The authors will casually throw the terminology \"**LULC**\" here and there.\n\nGiven the heavy penalization for getting citations wrong. Do we need to identify every way that this database was mentioned in the same document? In this case:\n\nLand User and Land Cover database from the University of North Carolina|LULC data|LULC\n\nOr do we just choose one way to mention it?",
      "votes": null
    },
    {
      "id": "1275078",
      "postDate": "04/15/2021 22:28:31",
      "content": "<p>This is a great question! My understanding is that we need to identify every way that a database is mentioned in the same document. See <a href=\"https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/228337#1251467\" target=\"_blank\">https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/228337#1251467</a></p>\n<blockquote>\n  <p>The idea is less to match labels against document text, and more to figure out that a chunk of text represents a dataset, and extract that.</p>\n</blockquote>\n<p>But I'm not sure and I would also like a confirmation on this. Moreover, I completely agree with you that we need to be precise about what we define as a <em>data citation</em>. I have been reading every single discussion but still haven't find an answer. As the training data are not fully labeled, it is not clear to me what should be labeled but above all what should <strong>not</strong> be labeled. See also <a href=\"https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/232867\" target=\"_blank\">https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/232867</a></p>",
      "rawMarkdown": "This is a great question! My understanding is that we need to identify every way that a database is mentioned in the same document. See https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/228337#1251467\n\n> The idea is less to match labels against document text, and more to figure out that a chunk of text represents a dataset, and extract that.\n\nBut I'm not sure and I would also like a confirmation on this. Moreover, I completely agree with you that we need to be precise about what we define as a *data citation*. I have been reading every single discussion but still haven't find an answer. As the training data are not fully labeled, it is not clear to me what should be labeled but above all what should **not** be labeled. See also https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/232867",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1275078,
      "author_name": "eguidotti",
      "author_url": "",
      "post_date": "04/15/2021 22:28:31",
      "content": "<p>This is a great question! My understanding is that we need to identify every way that a database is mentioned in the same document. See <a href=\"https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/228337#1251467\" target=\"_blank\">https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/228337#1251467</a></p>\n<blockquote>\n  <p>The idea is less to match labels against document text, and more to figure out that a chunk of text represents a dataset, and extract that.</p>\n</blockquote>\n<p>But I'm not sure and I would also like a confirmation on this. Moreover, I completely agree with you that we need to be precise about what we define as a <em>data citation</em>. I have been reading every single discussion but still haven't find an answer. As the training data are not fully labeled, it is not clear to me what should be labeled but above all what should <strong>not</strong> be labeled. See also <a href=\"https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/232867\" target=\"_blank\">https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/232867</a></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1266318": "I think we need to be precise about what we define as a *data citation*. \n\nFor instance, the \"*Land User and Land Cover database from the university of North Carolina*\", will be referenced several times in the study as the \"LULC data\". The authors will casually throw the terminology \"**LULC**\" here and there.\n\nGiven the heavy penalization for getting citations wrong. Do we need to identify every way that this database was mentioned in the same document? In this case:\n\nLand User and Land Cover database from the University of North Carolina|LULC data|LULC\n\nOr do we just choose one way to mention it?",
    "1275078": "This is a great question! My understanding is that we need to identify every way that a database is mentioned in the same document. See https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/228337#1251467\n\n> The idea is less to match labels against document text, and more to figure out that a chunk of text represents a dataset, and extract that.\n\nBut I'm not sure and I would also like a confirmation on this. Moreover, I completely agree with you that we need to be precise about what we define as a *data citation*. I have been reading every single discussion but still haven't find an answer. As the training data are not fully labeled, it is not clear to me what should be labeled but above all what should **not** be labeled. See also https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/232867"
  },
  "source": "meta"
}