TEXT AND DATA MINING FOR NON-COMMERCIAL SCIENTIFIC RESEARCH : A STATEMENT OF COMMITMENT BY STM PUBLISHERS TO A ROADMAP TO ENABLE TEXT AND DATA MINING (TDM) FOR NON COMMERCIAL SCIENTIFIC RESEARCH IN THE EUROPEAN UNION
abernard102@gmail.com 2013-11-18
Summary:
" ... STM PUBLISHERS DECLARE THEIR COMMITMENT TO THE FACILITATION OF TEXT AND DATA MINING FOR NON-COMMERCIAL SCIENTIFIC RESEARCH IN THE EUROPEAN UNION: Publishers’ Commitments and Toolbox of Solutions ... Signatories commit to granting the necessary copyright licenses to permit the text and data mining of copyright-protected content and other subject-matter on reasonable terms for non-commercial scientific research purposes in the European
Union. Whilst enabling managed use of their subscription platforms and electronic resources, either online or offline, signatories will retain the ability to apply and develop safeguards, such as technological solutions to minimise online system performance degradation. The signatories recognise that there should not be an undue burden on bona fide
researchers at non-commercial institutions intending to engage in text and data mining of their subscribed or open access journal content for non-commercial scientific research that does not compete with and does not substitute for the content and services of STM publishers. Therefore, signatory publishers will work with rights clearance agents as necessary
and implement licensing systems to facilitate easy, 'one-to-many' rights clearance, such as PLS Clear, and will continue to work on relevant technological solutions, such as CrossRef’s Prospect service to facilitate the access to content in an efficient way. Any licensing solutions offered by publishers are without prejudice to the author’s moral rights, including the integrity and ethical aspects of academic research ..."