Legal and Economic Issues in Data Mining

This panel can also be viewed on YouTube here.

Legal and Economic Issues in Data Mining: An Introduction to the Session

Paul F. Uhlir

CODATA

Going for Gold: Mining in the Digital Era

Alan Paic

Organisation for Economic Co-operation and Development

Links to references here.

Copyright in Text and Data Mining: A European Perspective

Thomas Margoni

University of Glasgow

Copyright, Text and Data Mining: An American Perspective

Michael W. Carroll

American University

Links to references here.

Cross-border Obstacles to Text Mining Projects

Lucie Guibault

Dalhousie University

Links to references here.

View the video on YouTube here.

Comments 6

  1. Welcome to the CEDS MiniForum session on Legal and Economic Issues in Data Mining, where we will explore the laws and economics that dictate how data is valued, restricted, and shared across the globe. Paul Uhlir provides a topical overview with introductions to the panelists; Alan Paic offers a comparative analysis of mineral and data mining, followed by a comprehensive overview of global economic considerations; Thomas Margoni provides an overview of data rights and (non personal) data protection in European Union law.; Michael Carroll, gives a complementary overview of American text and data mining issues, including the legal theories behind fair use, copyright, mining, regulatory considerations, and privacy concerns; and Lucie Guibault ties it all together with an overview of international legal issues in text mining, using mineral extraction examples.

    Please leave your comments and questions, and let us know what data extraction issues YOU THINK the global data research community should prioritize by taking our poll: https://forms.gle/Mjt1CpGkgLyRtUXY9

  2. Hi everyone,

    Thanks for your enlightening papers. I especially appreciate efforts by Lucie and Alan to connect back to minerals extraction. I’ve long thought of mining as something of a metaphor when it’s used in technology, but these presentations have convinced me that it’s more a form of mining than I originally thought–whether that’s because it mines massive amounts of material just to produce small but meaningful insights (akin to a open-cast mine), because its production is economically meaningful, because it often faces extraction complaints from the Global South (thanks for that insight, Alan Paic!), or because it ends up often challenged when so much of the work happens across borders because of its international actors.

    I know that many data scholars spend lots of time thinking about and crafting research/cultural standards, but I’m wondering how enforceable those are across borders. Obviously, laws change across borders, as these presentations point out–are there better ways to ensure CARE and other kinds of ethically-based standards cross those borders instead (or also)? Any thoughts are appreciated!

  3. Hi Brian,

    Thanks for your comment. You are right, creation and enforcement of cross-border policies and standards isn’t easy.

    However the OECD is one of the organizations working precisely on this issue, and we issue Recommendations, which are legal instruments. Although not legally binding, they do constitute a strong political commitment and the fact that the 37 member countries sign such documents (plus a number of non-member economies who often choose to adhere to our instruments) does mean a step in the right direction.

    The OECD started with such instruments in the domain of data governance as early as 1980 with a Recommendation concerning data privacy, in 2006 we came out with one about Research dats from public funding, in 2008 about Public Sector Information etc. A full list is on my slide 8.

  4. Dear Organizers,
    This a unique presentation on legal and economic aspects of data mining. Several courses are now started on this issues as data mining is recognized as important subject.
    This lecture gives an out sight on legal and economic aspects of data mining.
    Thanks .

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