期刊名称：International Journal of Population Data Science
电子版ISSN：2399-4908
出版年度：2018
卷号：3
期号：4
页码：1-1
DOI：10.23889/ijpds.v3i4.692
出版社：Swansea University
摘要：Background and rationaleThe International Journal of Population Data Science (IJPDS) was launched in April 2017. It is an electronic, open-access, peer reviewed journal, publishing articles on all aspects of research, development and evaluation connected with about people and populations. It represents an internationally unique vehicle for publishing a broader range of articles than most journals in related fields by including in scope: working papers, methodological developments, informative reports, and other pieces of interest, in addition to more traditional manuscripts. As such, it provides a focal point (and a home) for all areas of Population Data Science. The creation of the IJPDS was inspired by the IPDLN, and places great importance on the viewpoints and activities of Network members to guide the development of the journal. ObjectiveInformation dissemination – stakeholder consultation – informing future directionsThe main objective of this collaborative session is to present the audience with an up-to-date summary of journal strategy and progress to date, and to use this forum to gain further viewpoints to better target future directions of the journal to meet the needs of those working in Population Data Science. PlanThe session will comprise 5 sections: A short presentation overviewing the journal, its historical origins, its remit and relationship to the IPDLN and Network members. Primary objectives of the journal and performance metrics from the first 18 months of operation will be presented. Gauging audience opinion on: What they like/dislike about the journal What is working well/not so well Feedback and discussion on the survey results Discussions with audience in groups, each focusing on some/all of the following questions, and a question of their own choice if something arises: How can we make IJPDS articles more accessible to the general reader/non-specialist researcher?.
