{"id":177,"date":"2011-06-21T18:07:26","date_gmt":"2011-06-21T23:07:26","guid":{"rendered":"http:\/\/notebooks.dataone.org\/tracking1000datasets\/?p=177"},"modified":"2013-05-09T01:17:13","modified_gmt":"2013-05-09T01:17:13","slug":"june-21-2011-tracking-protein-data-bank","status":"publish","type":"post","link":"https:\/\/notebooks.dataone.org\/data-reuse\/june-21-2011-tracking-protein-data-bank\/","title":{"rendered":"June 21, 2011 – Tracking Protein Data Bank"},"content":{"rendered":"

Today was spent tracking the Protein Data Bank (PDB) datasets.\u00a0 As Heather had predicted, there were quite a few more hits than the previous data repositories (670 citations).\u00a0 The search terms used and search results can be seen in this Google Spreadsheet<\/a>.\u00a0 As Heather predicted such a large amount of results, she also suggested starting by only importing citations from datasets that had 3 or less citations.\u00a0 I imported these 56 citations to the PDB Mendeley group<\/a>, found the full-text, and analyzed them for reuse.<\/p>\n

Determining dataset reuse was trickier for this data repository as several of the articles just listed the PDB ID number in a table with several other PDB IDs.\u00a0 There are therefore more medium and low confidence levels applied than there have been with other data repositories.<\/p>\n

Of the 56 citations, I was unable to access full-text for 3 of them and another 3 had import errors.\u00a0 Out of the 50 articles examined so far, 36 have potential dataset reuse, 3 have ambiguous dataset reuse, and 4 cite the dataset but do not appear to reuse it.\u00a0 (My numbers don’t seem to be adding up so I will be reexamining the citations to make sure everything was tagged in the morning.)<\/p>\n","protected":false},"excerpt":{"rendered":"

Today was spent tracking the Protein Data Bank (PDB) datasets.\u00a0 As Heather had predicted, there were quite a few more hits than the previous data repositories (670 citations).\u00a0 The search terms used and search results can be seen in this Google Spreadsheet.\u00a0 As Heather predicted such a large amount of Continue reading June 21, 2011 – Tracking Protein Data Bank<\/span>→<\/span><\/a><\/p>\n","protected":false},"author":15,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[111],"tags":[],"_links":{"self":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/177"}],"collection":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/comments?post=177"}],"version-history":[{"count":1,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/177\/revisions"}],"predecessor-version":[{"id":557,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/177\/revisions\/557"}],"wp:attachment":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/media?parent=177"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/categories?post=177"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/tags?post=177"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}