scholarly journals Text and Data Mining in Directive 2019/790/EU Enhancing Web-Harvesting and Web-Archiving in Libraries and Archives

2019 ◽  
Vol 09 (03) ◽  
pp. 369-395
Author(s):  
Μaria Bottis ◽  
Marinos Papadopoulos ◽  
Christos Zampakolas ◽  
Paraskevi Ganatsiou
Keyword(s):  
Data Mining ◽  
Web Archiving ◽  
Text And Data Mining ◽  
Web Harvesting

scholarly journals Empirical Research on Web Harvesting in the Process of Text and Data Mining in National Libraries of EU Member States

2020 ◽  
Vol 10 (01) ◽  
pp. 88-112
Author(s):  
Marinos Papadopoulos ◽  
Maria Botti ◽  
M. A. Paraskevi (Vicky) Ganatsiou ◽  
Christos Zampakolas
Keyword(s):  
Data Mining ◽  
Empirical Research ◽  
Member States ◽  
Eu Member States ◽  
National Libraries ◽  
Text And Data Mining ◽  
Web Harvesting

Text and data mining of in-copyright works

2021 ◽  
Vol 64 (11) ◽  
pp. 20-22
Author(s):  
Pamela Samuelson
Keyword(s):  
Data Mining ◽  
Copyright Law ◽  
Text And Data Mining

How copyright law might be an impediment to text and data mining research.

scholarly journals Τhe Exception of Text and Data Mining from the Academic Libraries Standpoint

2021 ◽  
Vol 09 (05) ◽  
pp. 502-539
Author(s):  
Maria-Daphne Papadopoulou ◽  
Krystallenia Kolotourou ◽  
Maria Bottis
Keyword(s):  
Data Mining ◽  
Academic Libraries ◽  
Text And Data Mining

scholarly journals New mandates? No problem for The Rockefeller University Press

2013 ◽  
Vol 210 (4) ◽  
pp. 643-645
Author(s):  
Mike Rossner
Keyword(s):  
Data Mining ◽  
Cell Biology ◽  
Third Parties ◽  
Public Access ◽  
Experimental Medicine ◽  
Access Policy ◽  
General Physiology ◽  
New Policies ◽  
Research Councils ◽  
Text And Data Mining

The existing public access policy for our three journals—The Journal of Cell Biology, The Journal of Experimental Medicine, and The Journal of General Physiology—is fully compliant with new policies from the Research Councils UK (RCUK) and the Wellcome Trust. In addition to mandating public access, the new policies specify licensing terms for reuse of content by third parties, in particular for text and data mining. We question the need for these specific terms, and we have added a statement to our licensing policy stipulating that anyone, including commercial entities, is permitted to mine our published text and data.

Computational Legal Methods: Text and Data Mining in Intellectual Property Research

2021 ◽  
pp. 487-505
Author(s):  
Thomas Margoni
Keyword(s):  
Data Mining ◽  
Intellectual Property ◽  
Law School ◽  
Human Observer ◽  
Systematic Classification ◽  
The Arts ◽  
High Quality Information ◽  
Recent Project ◽  
Analytical Tools ◽  
Text And Data Mining

Text and Data Mining (TDM) can generally be defined as the process of deriving high-quality information from text and data by using digital analytical tools . The impact that TDM may have on science, humanities, and the arts is invaluable. This is because by identifying the correlations and patterns that are often concealed to the eye of a human observer TDM allows for the discovery of knowledge that would have otherwise remained hidden. After a brief introduction, Section II of this chapter illustrates the state of the art in the nascent field of TDM applied to intellectual property (IP) research. It formulates some proposals of systematic classification in an area that suffers from a degree of terminological vagueness. In particular, the chapter argues that TDM, together with other types of data-driven analytical tools, should be autonomously classified as ‘computational legal methods’. Section III of the chapter offers concrete examples of the application of these methods in IP research. This is achieved by discussing a recent project on TDM, which required the development of dedicated approaches in order to address certain problems that emerged during the project’s execution.. The discussion identifies some of the most promising advances in terms of automation and predictive analysis that the use of TDM in intellectual property research could enable. At the same time, the partial success of the experiment shows that there are a number of training and skill-related issues that legal researchers and practitioners interested in the use of TDM should consider. Accordingly, the second argument advanced in this chapter is that law school programmes should include mandatory courses in computational legal methods in order to equip future lawyers with the skillsets needed in the digital (legal) environment.

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