This information is over 2 years old. Information was current at time of publication.{"id":9493,"date":"2016-08-25T09:56:20","date_gmt":"2016-08-25T13:56:20","guid":{"rendered":"http:\/\/info.hsls.pitt.edu\/updatereport\/?p=9493"},"modified":"2016-09-07T09:28:01","modified_gmt":"2016-09-07T13:28:01","slug":"guiding-principles-for-data-management-is-your-data-fair","status":"publish","type":"post","link":"https:\/\/info.hsls.pitt.edu\/updatereport\/guiding-principles-for-data-management-is-your-data-fair\/","title":{"rendered":"Guiding Principles for Data Management: Is Your Data FAIR?"},"content":{"rendered":"<p>For the past several years, researchers, funders, publishers, software developers, institutions, and other research stakeholders have been discussing methods for data-sharing and data stewardship on a grand scale, recognizing the need for minimal principles and practices. The FAIR data principles were first formalized in 2014 at a <a href=\"http:\/\/www.datafairport.org\/\" target=\"_blank\">workshop<\/a> in Leiden, The Netherlands, and are available for comment at the <a href=\"https:\/\/www.force11.org\/group\/fairgroup\/fairprinciples\" target=\"_blank\">website of Force11<\/a>.<\/p>\n<p>\u201cFAIR\u201d is an acronym representing data as (1) <strong>F<\/strong>indable (2) <strong>A<\/strong>ccessible (3) <strong>I<\/strong>nteroperable (4) <strong>R<\/strong>e-usable. The four FAIR principles add efficiency and value to research data when it is ready for journal submission with its associated manuscript.<\/p>\n<ol>\n<li><u>Findable<\/u>\n<ul>\n<li>Data should have a unique and persistent identifier at all times;<\/li>\n<li>The unique and persistent identifier locates the dataset in a digital space;<\/li>\n<li>Data should be distinguished from all other data via metadata;<\/li>\n<li>Identifiers for any concept used in a dataset should also be unique and persistent.<\/li>\n<\/ul>\n<\/li>\n<li><u>Accessible<\/u>\n<ul>\n<li>Access can be always obtained by machines and humans with appropriate authorization;<\/li>\n<li>Access can be always obtained by machines and humans through an open, free, well-defined protocol;<\/li>\n<li>Machines and humans alike can access metadata, even if the data object itself is not available.<\/li>\n<\/ul>\n<\/li>\n<li><u>Interoperable<\/u>\n<ul>\n<li>If metadata is machine-readable, the data object is interoperable;<\/li>\n<li>If metadata formats use shared vocabularies, the data object is interoperable.<\/li>\n<\/ul>\n<\/li>\n<li><u>Re-usable<\/u>\n<ul>\n<li>Data objects should be compliant with the first three principles to be re-usable;<\/li>\n<li>Metadata should include a clear data usage license permitting reuse;<\/li>\n<li>Documentation of software, code, and similar files must be included for accurate reuse;<\/li>\n<li>Data objects must be clearly associated with their source (provenance) for proper citation.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<p>With the FAIR Principles, there are now methods to evaluate both data and data repositories:<\/p>\n<ul>\n<li>The <a href=\"https:\/\/www.force11.org\/group\/fairgroup\/fairprinciples\" target=\"_blank\">FAIR Principles<\/a> provide a method for self-assessment of basic dataset interoperability and usability.<\/li>\n<li>The <a href=\"http:\/\/www.datasealofapproval.org\/en\/\" target=\"_blank\">Data Seal of Approval<\/a> is granted by an international organization to data repositories that meet quality standards via self-assessment.<\/li>\n<\/ul>\n<p>For data related questions, contact a member of the <a href=\"http:\/\/hsls.libguides.com\/datamanagement\" target=\"_blank\">HSLS Data Management Group<\/a>.<\/p>\n<p>~Andrea M. Ketchum<\/p>\n","protected":false},"excerpt":{"rendered":"<p>For the past several years, researchers, funders, publishers, software developers, institutions, and other research stakeholders have been discussing methods for data-sharing and data stewardship on a grand scale, recognizing the need for minimal principles and practices. The FAIR data principles were first formalized in 2014 at a workshop in Leiden, The Netherlands, and are available [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"issue-archives","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[99],"tags":[80,-1],"class_list":["post-9493","post","type-post","status-publish","format-standard","hentry","category-september-2016","tag-data-management","avhec_catgroup-issue-archives"],"_links":{"self":[{"href":"https:\/\/info.hsls.pitt.edu\/updatereport\/wp-json\/wp\/v2\/posts\/9493","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/info.hsls.pitt.edu\/updatereport\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/info.hsls.pitt.edu\/updatereport\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/info.hsls.pitt.edu\/updatereport\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/info.hsls.pitt.edu\/updatereport\/wp-json\/wp\/v2\/comments?post=9493"}],"version-history":[{"count":3,"href":"https:\/\/info.hsls.pitt.edu\/updatereport\/wp-json\/wp\/v2\/posts\/9493\/revisions"}],"predecessor-version":[{"id":9537,"href":"https:\/\/info.hsls.pitt.edu\/updatereport\/wp-json\/wp\/v2\/posts\/9493\/revisions\/9537"}],"wp:attachment":[{"href":"https:\/\/info.hsls.pitt.edu\/updatereport\/wp-json\/wp\/v2\/media?parent=9493"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/info.hsls.pitt.edu\/updatereport\/wp-json\/wp\/v2\/categories?post=9493"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/info.hsls.pitt.edu\/updatereport\/wp-json\/wp\/v2\/tags?post=9493"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}