First there was the “impact factor.” Then came the “h-index.” Now, for those who believe that scientific prowess can be measured by statistical metrics, comes the Acuna-Allesina-Kording formula.
“All these papers were deliberately bad. They were created with the purpose of exposing exploitative publishing practices. That is, the works collected here were sting operations on predatory journals.” So says the introduction to the book Stinging the Predators: A collection of papers that should never have been published, assembled by Zen Faulkes.
A study of the flow of manuscript submissions reveals a highly structured and efficient network of scientific journals where peer-review plays a critical role in the improvement and slotting of papers.
"Open Data Excuse" Bingo
We might want to use it in a paper People may misinterpret the data Thieves will use it There's no API
I don't mind, but someone else might Lawyers want a custom License It's too complicated We will get too many enquiries
It's too big Terrorists will use it Poor Quality There's already a project to...
What if we want to sell it later It's not very interesting Data Protection We'll get spam
For open data teams; print out a copy and put it on your office wall. Cross out each excuse people give you. There are no prizes, but you can tweet "bingo! #openDataExcuses" if you think it might make you feel better
Generate your own bingo grids at http://data.dev8d.org/devbingo/
Q. He, B. Chen, J. Pei, B. Qiu, P. Mitra, and L. Giles. Proceedings of the 18th ACM conference on Information and knowledge management, page 957--966. New York, NY, USA, ACM, (2009)
C. Wang, J. Han, Y. Jia, J. Tang, D. Zhang, Y. Yu, and J. Guo. Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 203--212. New York, NY, USA, ACM, (2010)
M. Wu, R. Faris, and K. Ma. Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, page 779--786. New York, NY, USA, ACM, (2013)
S. Lawrence, K. Bollacker, and C. Giles. Proceedings of the eighth international conference on Information and knowledge management, page 139--146. New York, NY, USA, ACM, (1999)
S. Pujari, A. Hadgu, E. Lex, and R. Jäschke. Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business, New York, NY, USA, ACM, (2015)
J. Huang, Z. Zhuang, J. Li, and C. Giles. Proceedings of the 2008 International Conference on Web Search and Data Mining, page 107--116. New York, NY, USA, ACM, (2008)
T. Crook, B. Frasca, R. Kohavi, and R. Longbotham. Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 1105--1114. New York, NY, USA, ACM, (2009)