{"id":20669,"date":"2019-04-12T17:18:34","date_gmt":"2019-04-12T16:18:34","guid":{"rendered":"https:\/\/www.ch.imperial.ac.uk\/rzepa\/blog\/?p=20669"},"modified":"2019-04-12T17:18:34","modified_gmt":"2019-04-12T16:18:34","slug":"a-search-of-some-major-chemistry-publishers-for-fair-data-records","status":"publish","type":"post","link":"https:\/\/www.rzepa.net\/blog\/?p=20669","title":{"rendered":"A search of some major chemistry publishers for FAIR data records."},"content":{"rendered":"
\n

In recent years, findable data has become ever more important (the F<\/span><\/strong> in FAIR). Here I test that F<\/strong><\/span> using the DataCite search service.<\/p>\n

Firstly an introduction to this service. This is a metadata database about datasets and other research objects. One of the properties is\u00a0relatedIdentifier<\/tt> which records other identifiers associated with the dataset, being say the DOI of any published article associated with the data, but it could also be pointers to related datasets.<\/p>\n

One can query thus:<\/p>\n

    \n
  1. https:\/\/search.datacite.org\/works?query=relatedIdentifiers.relatedIdentifier:*<\/a><\/tt><\/small>
    \nwhich retrieves the very healthy looking 6,179,287<\/strong>\u00a0works.<\/li>\n
  2. One can restrict this to a specific publisher by the DOI prefix assigned to that publisher:
    \n    ?query=relatedIdentifiers.relatedIdentifier:10.1021*<\/a><\/tt><\/small>
    \nwhich returns a respectable 210,240<\/strong>\u00a0works.<\/li>\n
  3. It turns out that the major contributor to FAIR currently are crystal structures from the CCDC. One can remove them from the search to see what is left over:
    \n    ?query=(relatedIdentifiers.relatedIdentifier:10.1021*)+NOT+(identifier:*10.5517*)<\/a><\/tt><\/small>\u00a0
    \nand one is down to 14,213<\/strong>\u00a0works, of which many nevertheless still appear to be crystal structures. These may be links to other crystal datasets.<\/li>\n<\/ol>\n

    I have performed searches 2<\/strong> and 3<\/strong> for some popular publishers of chemistry (the same set that were analysed here<\/a>).<\/p>\n\n\n\n\n\n\n\n\n\n
    Publisher<\/th>\nSearch 2<\/th>\nSearch 3<\/th>\n<\/tr>\n
    ACS<\/td>\n210,240<\/a><\/td>\n14,213<\/a><\/td>\n<\/tr>\n
    RSC<\/td>\n138,147<\/a><\/td>\n1,279<\/a><\/td>\n<\/tr>\n
    Elsevier<\/td>\n185,351<\/a><\/td>\n56,373<\/a><\/td>\n<\/tr>\n
    Nature<\/td>\n12,316<\/a><\/td>\n8,104<\/a><\/td>\n<\/tr>\n
    Wiley<\/td>\n135,874<\/a><\/td>\n9,283<\/a><\/td>\n<\/tr>\n
    Science<\/td>\n3,384<\/a><\/td>\n2,343<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    These publishers all have significant numbers of datasets which at least accord with the F<\/strong> of FAIR. A lot of data sets may not have metadata which in fact points back to a published article, since this can be something that has to be done only when the DOI of that article appears<\/a>, in other words AFTER the publication of the dataset. So these numbers are probably low rather than high.<\/p>\n

    How about the other way around? Rather than datasets that have a journal article as a related identifier, we could search for articles that have a dataset as a related identifier?<\/p>\n

      \n
    1. ?query=(identifier:*10.1039*)+AND+(relatedIdentifiers.relatedIdentifier:*)<\/a><\/tt><\/small>
      \nreturns rather mysterious nothing found<\/strong>. It might also be that there is no mapping of this search between the CrossRef and DataCite metadata schemas.<\/li>\n
    2. And just to show the searches are behaving as expected:
      \n      ?query=(relatedIdentifiers.relatedIdentifier:10.1021*)+AND+(identifier:*10.5517*)<\/a><\/tt><\/small>
      \nreturns 196,027 works.<\/li>\n<\/ol>\n

      It will also be of interest to show how these numbers change over time. Is there an exponential increase? We shall see.<\/p>\n

      Finally, we have not really explored adherence to eg the AIR<\/strong> of FAIR<\/strong>. \u00a0That is for another post.<\/p>\n\n<\/div> ","protected":false},"excerpt":{"rendered":"

      In recent years, findable data has become ever more important (the F in FAIR). Here I test that F using the DataCite search service. Firstly an introduction to this service. This is a metadata database about datasets and other research objects. One of the properties is\u00a0relatedIdentifier which records other identifiers associated with the dataset, being […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[3],"tags":[1397,1783,811,2556,2563,2440,1721,2318,2444,2319,1473,1474,2623,2470],"class_list":["post-20669","post","type-post","status-publish","format-standard","hentry","category-chemical-it","tag-academic-publishing","tag-datacite","tag-digital-object-identifier","tag-digital-technology","tag-elsevier","tag-findability","tag-identifiers","tag-information","tag-information-architecture","tag-information-science","tag-knowledge","tag-knowledge-representation","tag-search-service","tag-web-design"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p1gPyz-5nn","jetpack_likes_enabled":true,"_links":{"self":[{"href":"https:\/\/www.rzepa.net\/blog\/index.php?rest_route=\/wp\/v2\/posts\/20669","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.rzepa.net\/blog\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.rzepa.net\/blog\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.rzepa.net\/blog\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.rzepa.net\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=20669"}],"version-history":[{"count":0,"href":"https:\/\/www.rzepa.net\/blog\/index.php?rest_route=\/wp\/v2\/posts\/20669\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.rzepa.net\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=20669"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.rzepa.net\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=20669"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.rzepa.net\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=20669"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}