MKE (Hungarian Library Association) We should aim for open refereeing of academic articles in the information age James Hartley argues that new technology used for submitting papers to academic journals increases the possibilities for gathering data, analysing it and improving the refereeing process. My recent article (Hartley, 2012) on ‘Refereeing articles in the information age’ appears to have attracted some attention. I began by summarising some of the research on peer reviewing carried out before the advent of new technology (such as Scholar One) in this respect. I also noted that much more information is now available to editors (and researchers) about the performances of authors, referees and editors. With new technology private comments between referees and editors can be made available for study. I very much enjoyed reading this paper, and do not have any significant comments. It is always a joy to review manuscripts such as this. Through the mild: It is sad to see so much enthusiasm and effort go into analysing a dataset that is just not big enough. to the hostile: Papers Referees 1. 2. 3.
Visual Resources Association | The International Association Of Image Media Professionals CAIS-ACSI Opinion: Academic Publishing Is Broken Academic publishers are currently up in arms about the Federal Research Public Access Act (FRPAA)—a bill that has the perfectly reasonable goal of making publicly funded research available to the public that funded it. Tom Allen, president of the American Association of Publishers, described it rather hysterically as “intellectual eminent domain, but without fair compensation.” Why are he and his colleagues so desperate to retain the current business model? By any objective standard, academic publishing is a very strange business indeed. Let's take a look at the flow of money in the production of research. At this point, researchers have worked together to produce a publication-ready, peer-reviewed manuscript. It's pretty outrageous. Since these publishers are effectively government subcontractors, you might think they would be subject to government regulation. In the face of the ludicrous status quo, it's no wonder that researchers are starting to turn to “Gold Open Access” publishing.
Resource Description ALCTS Non-English Access Working Group on Romanization ALCTS Non-English Access Working Group on Romanization Draft Report (Nov. 24, 2009) Comments requested by Tuesday Dec. 8, 2009. Comments may be sent to rr2205@columbia.edu and will be forwarded to the Working Group. A. The ALCTS Non-English Access Working Group on Romanization was established by the ALCTS Non-English Access Steering Committee to implement Recommendation 10 of the report of the ALCTS Task Force on Non-English Access: 10. (1) Alternative models (Model A and Model B) for multiscript records are specified in the MARC 21 formats. (2) Requirements for access using non-Roman scripts (in general terms -- defining requirements for specific scripts falls under Recommendation 2) (3) Requirements for access using romanization The Steering Committee charged the Working Group as follows: The task force should address the following questions: Is romanization still needed in bibliographic records, and if so, in which situations and/or for which access points? B. Model A Model B C. C.1. C.2. D.
Text mining: what do publishers have against this hi-tech research tool? | Science Professor Peter Murray-Rust was looking for new ways to make better drugs. Dr Heather Piwowar wanted to track how scientific papers were cited and shared by researchers around the world. Dr Casey Bergman wanted to create a way for busy doctors and scientists to quickly navigate the latest research in genetics, to help them treat patients and further their research. All of them needed access to tens of thousands of research papers at once, so they could use computers to look for unseen patterns and associations across the millions of words in the articles. This technique, called text mining, is a vital 21st-century research method. It uses powerful computers to find links between drugs and side effects, or genes and diseases, that are hidden within the vast scientific literature. It is a technique with big potential. Unfortunately, in most cases, text mining is forbidden. Asking for permission from publishers is an option, though time-consuming.