Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Survey data underlying Springer Nature whitepaper 'Practical challenges for researchers in data sharing'. Data were collected between April and May in 2017 by contacting registrants to nature.com, biomedcentral.com and springer.com.The dataset is made up of 7,719 respondents from 126 different countries.Related infographic: https://doi.org/10.6084/m9.figshare.5996786
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The article presented a synthesis of expert opinions about open research remarked as a substantial influence on knowledge and innovation of concepts dissemination contained in published and unpublished manuscripts. The practise of open science reach increased in acceptance in recent years due to the challenging effort of the researchers who have written scientific articles.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Survey data underlying the Springer Nature infographic titled: ‘Research data: challenges and opportunities for Japanese researchers’.
Data were collected in April and May 2018, and respondents are Springer Nature contacts based in Japan who were actively carrying out research (academic, scientific or clinical).You can view the accompanying infographic for this data here: https://doi.org/10.6084/m9.figshare.6609056.v1
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
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This FAIRsharing record describes: The Type 2 policy encourages data sharing and evidence of data sharing. The policy text includes information on the Springer Nature list of recommended repositories; introductory text on data citations; information on writing a data availability statement; and a link to the Springer Nature Research Data Helpdesk.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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This dataset underpins research undertaken by the Data Publishing team at Springer Nature which analysed the impact of Data Availability Statements on Nature journal editors, and how researchers choose to share their data.Mandatory Data Availability Statements were introduced by Nature journals in 2016 which require researchers to state how their data can be accessed.The dataset comprises of a single Excel file, which include the journal title, unique ID for each published article, subject areas, and the estimated time required to include a Data Availability Statement as reported by the journals' editorial staff. The median time per journal is also calculated.The full text of the Data Availability statement is included, and the statements are coded according to the data sharing method described.This dataset supports a paper that has been peer reviewed and accepted for presentation at the International Digital Curation Conference 2018. The paper has been submitted to the International Journal of Digital Curation. At the time of dataset release the full paper is available as a preprint in BioRxiv.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Supplementary Material 2
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Additional file 2. Minimum information table.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Additional file 2.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Survey data underlying Springer Nature whitepaper 'Practical challenges for researchers in data sharing'. Data were collected between April and May in 2017 by contacting registrants to nature.com, biomedcentral.com and springer.com.The dataset is made up of 7,719 respondents from 126 different countries.Related infographic: https://doi.org/10.6084/m9.figshare.5996786