COPE held its third educational webinar for members on 2 July 2018. Titled ‘Creating and implementing research data policies’, the hour-long webinar was about the practicalities and challenges of choosing data sharing policies for journals and ensuring authors and reviewers adhere to the policies.
Trevor Lane(COPE Council Member and Education and Engagement Consultant atEdanz集团) introduced and moderated the webinar.Heather Tierney(COPE Council Member and Managing Editor, Journals and Ethics Policy,American Chemical Society)安排了一个有趣而多样的问答环节。
In the first presentation, Rebecca Grant (Research Data Manager, Open Research Group,斯普林格自然)介绍了自2016年以来，Springer Nature如何在其所有期刊中引入标准数据政策。如预印本所述（Hrynaszkiewicz等人，2017年4月4日，http://dx.doi.org/10.1101/122929), an expert working group found commonalities among the publisher’s 2500 journals and consulted with editors, librarians, and funders. It defined a company-wide framework based on four data policy types:
(1) Data sharing and data citation encouraged but not required;
(2) Data sharing and evidence of data sharing encouraged;
(3) Data sharing encouraged and statements of data availability required; and
(4) Data sharing, evidence of data sharing, and peer review of data required
丽贝卡解释说,个别期刊选择the most relevant policy, implement standardised guidelines and processes, and then guide authors, researchers, and reviewers. Authors are encouraged to deposit data in community repositories rather than as online supplementary files and to cite public datasets in the references. They can email questions to a dedicated Research Data Helpdesk at[电子邮件保护], which will answer queries within two business days. So far, 1091 journals have adopted data policies, mainly types 1, 2, and 3.
Varsha Khodiyar (Data Curation Manager, Open Research Group,斯普林格自然) described how the journal Scientific Data implemented its type 4 research data policy. This required adding advice on available data repositories and integrating some repositories into the manuscript submission system, giving reviewers access to data during peer review, ensuring authors include data availability and access statements, and checking data citations and links. The presentation ended with lessons learnt from implementing data policies across a publisher portfolio, including accepting there are differences among disciplines and research communities and that implementation is only the start of a “data sharing journey”.
The second presentation was given by Todd Carpenter (Executive Director of the US国家信息标准组织[NISO]). Noting that the number of research data policies is growing, Todd argued for the need for global standards, which NISO is spearheading. He outlined four roles that standards can play in data management policies, namely identification (persistent identifiers), description/discovery (via associated metadata), peer review of data, and data citation. He also explained that the role of theTransparency and Openness Promotion (TOP) Guidelines不是强制要求进行数据访问本身，而是强制要求披露数据可用性，如果可用，还要求提供持久标识符和适用的许可证信息。该指南要求在期刊中提供某些顶级声明，如bob官方apppreprint关于执行指导方针。bob官方app
Audience questions covered practical points of choosing and operationalising data policies, and highlighted the need for flexibility for particular journals and disciplines. However, from the answers and from the two presentations, it was apparent that whichever policy or policies are adopted, they must be clearly communicated to authors and reviewers. In addition, help and training need to be provided to ensure the policies are consistently implemented.
在网络研讨会期间进行的快速民意调查显示，大多数观众作为出版商或编辑都有期刊数据政策的经验（85%）。只有9%的人没有任何期刊数据政策的经验。在这些人中，大多数人遇到了鼓励数据共享的政策（80%）或需要数据可用性声明的政策（80%）。很少有人遇到过强制性数据共享（62%）、数据引用（40%）或数据同行评审（38%）。
If you have any suggestions for future guidance from COPE with respect to data sharing policies or any comments on the 2016COPE论坛关于数据共享的讨论说明, we welcome your feedback byemail.
演讲者演示现在可以在COPE website. The recording will soon be available.
Trevor Lane, Chair, Member Services subcommittee