{"id":1226,"date":"2013-06-07T18:43:45","date_gmt":"2013-06-07T18:43:45","guid":{"rendered":"https:\/\/notebooks.dataone.org\/?p=1226"},"modified":"2013-06-07T18:44:58","modified_gmt":"2013-06-07T18:44:58","slug":"data-policy-classification","status":"publish","type":"post","link":"https:\/\/notebooks.dataone.org\/ppsr-data-policies\/data-policy-classification\/","title":{"rendered":"Data policy classification"},"content":{"rendered":"

I know this probably won’t fascinate anyone except me, but I spent most of week 2 developing a classification schema for understanding citizen science data policy. \u00a0Developing a classification scheme was necessary because it’s important to have a *real* metric to use when evaluating different policies, instead of comparing one policy to another in an ad hoc manor. This turned out to be much more of an undertaking than I initially thought (I defend qualitative research as “rigorous” all the time, but forget exactly how<\/em> rigorous it really is until it’s time for me to engage with some data). \u00a0The resulting schema is essential a 12-page list.<\/p>\n

With apologies for WordPress formatting, here are the top level categories, which should give you a good idea about how citizen science\/ PPSR data policy is generally structured:<\/p>\n

    \n
  1. Metadata<\/li>\n
  2. \u00a0 \u00a0 \u00a0 Vocabulary used in this classification scheme<\/li>\n
  3. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Entities<\/li>\n
  4. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Terms designating permission<\/li>\n
  5. Data policy– structure and location<\/li>\n
  6. \u00a0 \u00a0 \u00a0 \u00a0Data policy of a project<\/li>\n
  7. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Structure of data policy<\/li>\n
  8. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Location of data policy<\/li>\n
  9. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Additional Information<\/li>\n
  10. \u00a0 \u00a0 \u00a0 \u00a0Related policy<\/li>\n
  11. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Legal policy<\/li>\n
  12. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Other related policy<\/li>\n
  13. Data policy– privacy and security<\/li>\n
  14. \u00a0 \u00a0 \u00a0 \u00a0Privacy<\/li>\n
  15. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Types of information collected<\/li>\n
  16. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Use of information collected<\/li>\n
  17. \u00a0 \u00a0 \u00a0 \u00a0Security<\/li>\n
  18. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Measures to maintain security<\/li>\n
  19. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Consequences of a security breach<\/li>\n
  20. Data policy– terms of use (the most interesting by far)<\/li>\n
  21. \u00a0 \u00a0 \u00a0 \u00a0Terms of participation<\/li>\n
  22. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Conditions for participation<\/li>\n
  23. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Limitations to participation<\/li>\n
  24. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Liability<\/li>\n
  25. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Warranty<\/li>\n
  26. \u00a0 \u00a0 \u00a0 \u00a0Data ownership and copyright<\/li>\n
  27. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Observations\/ other raw data<\/li>\n
  28. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Aggregate data set<\/li>\n
  29. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Other<\/li>\n
  30. \u00a0 \u00a0 \u00a0 \u00a0Data use<\/li>\n
  31. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0General conditions for use<\/li>\n<\/ol>\n

    Next week I get to validate! \u00a0I’ll be testing my schema with projects not used in the initial construction, making my wonderful mentor code some projects with me to generate inter-rater reliability, and testing out with data policies outside of the PPSR realm– namely, that of Wikipedia, Facebook, and Data.gov (for a start).<\/p>\n

    Non-project highlights include eating at Moosewood, the premier vegetarian restaurant in the world.<\/p>\n

    Next week I promise you a list of the best data policies in PPSR.<\/p>\n","protected":false},"excerpt":{"rendered":"

    I know this probably won’t fascinate anyone except me, but I spent most of week 2 developing a classification schema for understanding citizen science data policy. \u00a0Developing a classification scheme was necessary because it’s important to have a *real* metric to use when evaluating different policies, instead of comparing one Continue reading Data policy classification<\/span>→<\/span><\/a><\/p>\n","protected":false},"author":39,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17],"tags":[],"_links":{"self":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/1226"}],"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\/39"}],"replies":[{"embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/comments?post=1226"}],"version-history":[{"count":2,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/1226\/revisions"}],"predecessor-version":[{"id":1228,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/1226\/revisions\/1228"}],"wp:attachment":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/media?parent=1226"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/categories?post=1226"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/tags?post=1226"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}