Transitive Credit and JSON-LD

作者:

DOI: 10.5334/JORS.BY

关键词:

摘要: Science and engineering research increasingly relies on activities that facilitate but are not currently rewarded or recognized, such as: data sharing; developing common resources, software methodologies; annotating publications. To promote advance these activities, we must develop mechanisms for assigning credit, the appropriate attribution of outcomes, devise incentives research, allocate funds to maximize return investment. In this article, focus addressing issue credit both direct indirect contributions, specifically by using JSON-LD implement a prototype transitive system.

参考文章(7)
Liz Allen, Jo Scott, Amy Brand, Marjorie Hlava, Micah Altman, Publishing: Credit where credit is due Nature. ,vol. 508, pp. 312- 313 ,(2014) , 10.1038/508312A
Elisabeth Davenport, Blaise Cronin, Who dunnit? Metatags and hyperauthorship Journal of the American Society for Information Science and Technology. ,vol. 52, pp. 770- 773 ,(2001) , 10.1002/ASI.1123
Arfon M. Smith, Daniel S. Katz, Implementing Transitive Credit with JSON-LD arXiv: Computers and Society. ,(2014) , 10.5334/JORS.BE
Daniel S. Katz, Sou-Cheng T. Choi, Kyle E. Niemeyer, James Hetherington, Frank Löffler, Dan Gunter, Ray Idaszak, Steven R. Brandt, Mark A. Miller, Sandra Gessing, Nick D. Jones, Nic Weber, Suresh Marru, Gabrielle Allen, Birgit Penzenstadler, Colin C. Venters, Ethan Davis, Lorraine Hwang, Ilian Todorov, Abani Patra, Miguel De Val-Borro, Report on the Third Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE3) Journal of open research software. ,vol. 4, pp. 37- ,(2016) , 10.5334/JORS.118