{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T15:58:54Z","timestamp":1742399934544,"version":"3.37.3"},"reference-count":2,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2018,7,30]],"date-time":"2018-07-30T00:00:00Z","timestamp":1532908800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Learned Publishing"],"published-print":{"date-parts":[[2018,10]]},"abstract":"\nKey points<\/jats:title><\/jats:caption>\nSpringer Nature's white paper seeks to determine the main obstacles for data sharing and looks at how discipline, region, and seniority impact data sharing.<\/jats:p><\/jats:list-item>\nThe greatest issue around data sharing is organizing the data in a useful way.<\/jats:p><\/jats:list-item>\nThe amount of data sharing varies widely within the sciences, with biology researchers sharing the most and physical sciences sharing the least.<\/jats:p><\/jats:list-item>\nAsian researchers share their data the most while Australasians share the least.<\/jats:p><\/jats:list-item>\nThe white paper underestimates the importance of attitudes when assessing the obstacles.<\/jats:p><\/jats:list-item>\nThe report does not include a statistical analysis to confirm whether the observed trends were significant.<\/jats:p><\/jats:list-item>\n<\/jats:list><\/jats:p><\/jats:boxed-text>\n<\/jats:p><\/jats:sec>","DOI":"10.1002\/leap.1184","type":"journal-article","created":{"date-parts":[[2018,7,30]],"date-time":"2018-07-30T07:59:41Z","timestamp":1532937581000},"page":"417-419","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Whitepaper: Practical challenges for researchers in data sharing: Review"],"prefix":"10.1002","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9721-5707","authenticated-orcid":false,"given":"Rachel","family":"Kessler","sequence":"first","affiliation":[{"name":"ProQuest Ann Arbor MI USA"}]}],"member":"311","published-online":{"date-parts":[[2018,7,30]]},"reference":[{"volume-title":"The state of open data report 2017","year":"2017","author":"Digital Science","key":"e_1_2_8_2_1"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0134826"}],"container-title":["Learned Publishing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fleap.1184","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/leap.1184","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,17]],"date-time":"2023-09-17T00:37:57Z","timestamp":1694911077000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/leap.1184"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,30]]},"references-count":2,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2018,10]]}},"alternative-id":["10.1002\/leap.1184"],"URL":"https:\/\/doi.org\/10.1002\/leap.1184","archive":["Portico"],"relation":{},"ISSN":["0953-1513","1741-4857"],"issn-type":[{"type":"print","value":"0953-1513"},{"type":"electronic","value":"1741-4857"}],"subject":[],"published":{"date-parts":[[2018,7,30]]},"assertion":[{"value":"2018-06-22","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-06-22","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-07-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}