{
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      "title": "Identifying Corresponding Records Across Multiple Data Formats ",
      "date": "2011-05",
      "abstract": "Managing multiple information systems that reference like items with differing data formats can be an arduous task. The complexity is compounded when attempting to make corrections to records on a large scale when data varies and unique identifiers do not exist. It is here where fuzzy logic can be an effective solution. This session will outline a multifaceted fuzzy string matching method used to analyze MARC records from Voyager and their metadata counterparts from CONTENTdm in order to correct mismatched data. ",
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      "refereed": "FALSE",
      "creators": [
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          "name": {
            "family": "Kuehn",
            "given": "Randy",
            "honourific": null,
            "lineage": null
          }
        },
        {
          "name": {
            "lineage": null,
            "honourific": null,
            "given": "Calvin",
            "family": "Miracle"
          }
        }
      ],
      "subjects": [
        "voyager"
      ],
      "eprintid": 656,
      "full_text_status": "restricted",
      "event_type": "conference",
      "item_issues_count": 0,
      "event_location": "Milwaukee, Wisconsin",
      "status_changed": "2011-05-31 16:46:01",
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      "uri": "https://documents.el-una.org/id/eprint/656",
      "userid": 23,
      "event_dates": "11-13 May 2011",
      "datestamp": "2011-05-31 16:46:01",
      "lastmod": "2016-05-27 21:05:21",
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