Crowdsourcing patent application review to capitalize on innovation
Roya Ghafele,
Benjamin Gibert and
Paul DiGiammarino
MPRA Paper from University Library of Munich, Germany
Abstract:
Worldwide filings of patent applications and the ensuing invalidation requests have seen staggering growth over the last decade. The result is increasing patent backlog, deteriorating patent quality and an uncertain economic environment. Patent application review is an integral part of the examination procedures undertaken by patent offices before a patent grant is given. Prior art search is a complex and time consuming part of this process. Crowdsourcing this critical stage is a valuable opportunity to render the patent application review process more efficient. This paper describes the crowdsourcing phenomenon and then details how it can aid patent review. The open source review pilot projects of the USPTO and JPO are presented in order to assess the potential of opening prior art search to the wider community of experts and practitioners. Public-private partnerships between patent offices and companies managing online review communities are proposed as a valuable opportunity to leverage the benefits of open review while providing sufficient incentives and quality assurances to yield useful contributions.
Keywords: Patent application review; prior art search; crowdsourcing; public-private partnerships; patent quality (search for similar items in EconPapers)
JEL-codes: O34 O38 (search for similar items in EconPapers)
Date: 2011-06
New Economics Papers: this item is included in nep-ino, nep-ipr, nep-pr~ and nep-ppm
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Published in Journal of Intellectual Property Rights 16.4(2011): pp. 303-308
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/38330/1/MPRA_paper_38330.pdf original version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:38330
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().