Katrin Milzow
Swiss National Science Foundation
5 Papers
9 Citations
Katrin Milzow is an academic researcher from Swiss National Science Foundation. The author has contributed to research in topics: Computer science & Data collection. The author has an hindex of 4, co-authored 4 publications.
Chat about Author
Papers
Predatory journals: no definition, no defence
Agnes Grudniewicz,David Moher,Kelly D. Cobey,Gregory L. Bryson,Samantha Cukier,Kristiann Allen,Clare L Ardern,Lesley Balcom,Tiago Barros,Monica Berger,Jairo Buitrago Ciro,Lucia Cugusi,Michael R. Donaldson,Matthias Egger,Ian D. Graham,Matt Hodgkinson,Karim M. Khan,Mahlubi Mabizela,Andrea Manca,Katrin Milzow,Johann Mouton,Marvelous Muchenje,Tom Olijhoek,Alexander Ommaya,Bhushan Patwardhan,Deborah Poff,Laurie Proulx,Marc A. Rodger,Anna Severin,Michaela Strinzel,Mauro Sylos-Labini,Robyn Tamblyn,Marthie van Niekerk,Jelte M. Wicherts,Manoj M. Lalu +34 more
TL;DR: Leading scholars and publishers from ten countries have agreed a definition of predatory publishing that can protect scholarship that took 12 hours of discussion, 18 questions and 3 rounds to reach.
Blacklists and Whitelists To Tackle Predatory Publishing: a Cross-Sectional Comparison and Thematic Analysis
TL;DR: An in-depth understanding of quality criteria for scholarly journals is developed by analyzing journals and publishers indexed in blacklists of predatory journals and whitelists of legitimate journals and the lists’ inclusion criteria to provide insights into their utility and delineates the different notions of quality and legitimacy in scholarly publishing used.
134
Data collection and use in research funding and performing organisations. General outlines and first results of a project launched by Science Europe
Wolfgang Glänzel,Raphaël Beck,Katrin Milzow,Stig Slipersæter,Gábor Tóth,Michał Kołodziejski,Pei-Shan Chi +6 more
TL;DR: A preliminary set of conclusions are drawn to produce guidance on relevant topics, including researcher and funding identification, potential, properties and limitations of data and indicators that are used in the context of measurement of research output and its assessment.
10
Correction for Strinzel et al., “Blacklists and Whitelists To Tackle Predatory Publishing: a Cross-Sectional Comparison and Thematic Analysis”
TL;DR: In this article , the authors used the amended list of predatory journals to quantify overlaps in contents between blacklists and passlists, indicating that some journals may operate in a gray zone for extended periods, meeting some blacklist and some passlist criteria.
1
Understanding the use and usability of research evaluation studies
TL;DR: In this paper, the authors explore the use of evaluation studies in seven organizations and countries, based on 11 case studies from seven organizations, and suggest applying logic models not only to evaluation objects but also to evaluation exercise itself, so as to consider the underlying mechanisms and chains of influence through which evaluation may have its effects.