Text Data Mining from the Author's Perspective: Whose Text, Whose Mining, and to Whose Benefit?

03/12/2018
by   Christine L. Borgman, et al.
0

Given the many technical, social, and policy shifts in access to scholarly content since the early days of text data mining, it is time to expand the conversation about text data mining from concerns of the researcher wishing to mine data to include concerns of researcher-authors about how their data are mined, by whom, for what purposes, and to whose benefits.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/29/2020

Proceedings of Symposium on Data Mining Applications 2014

The Symposium on Data Mining and Applications (SDMA 2014) is aimed to ga...
research
10/21/2020

Effective Data Scraping Strategies and Resources for Digital Marketers

Data scraping is not a new practice. It pre-dates the internet and exist...
research
07/16/2008

Text Data Mining: Theory and Methods

This paper provides the reader with a very brief introduction to some of...
research
10/19/2022

Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective

Two interlocking research questions of growing interest and importance i...
research
12/11/2018

Text data mining and data quality management for research information systems in the context of open data and open science

In the implementation and use of research information systems (RIS) in s...
research
04/23/2015

Open Data Platform for Knowledge Access in Plant Health Domain : VESPA Mining

Important data are locked in ancient literature. It would be uneconomic ...
research
03/07/2023

Toward NeuroDM: Where Computational Neuroscience Meets Data Mining

At the intersection of computational neuroscience (CN) and data mining (...

Please sign up or login with your details

Forgot password? Click here to reset