Le potentiel scientifique et technique d’un laboratoire de recherche confère un caractère stratégique à la protection de son système d’information. Les atteintes peuvent tout aussi bien toucher ses données scientifiques ou technologiques que ses outils ou ses moyens scientifiques, techniques ou humains.
Le laboratoire vit souvent dans un environnement complexe par la diversité de ses tutelles et la diversification de ses ressources, tout en étant confronté à une compétition scientifique croissante. Face aux risques encourus, il convient d’identifier ce qui doit être protégé, de quantifier l’enjeu correspondant, de formuler des objectifs de sécurité et de mettre en œuvre les parades adaptées au niveau de sécurité retenu.
Un tel plan d’actions conduit à des règles. Pour qu’elles soient acceptées, elles ne doivent pas entraver la recherche, la compétitivité, les échanges et les coopérations nationales et internationales, la diffusion à travers les brevets, les publications et les congrès, etc. C’est un équilibre délicat à trouver et à maintenir.
Authors : Aurelio Patelli, Giulio Cimini, Emanuele Pugliese, Andrea Gabrielli
Determining how scientific achievements influence the subsequent process of knowledge creation is a fundamental step in order to build a unified ecosystem for studying the dynamics of innovation and competitiveness.
Yet, relying separately on data about scientific production on one side, through bibliometric indicators, and about technological advancements on the other side, through patents statistics, gives only a limited insight on the key interplay between science and technology which, as a matter of fact, move forward together within the innovation space.
In this paper, using citation data of both scientific papers and patents, we quantify the direct impact of the scientific outputs of nations on further advancements in science and on the introduction of new technologies.
Our analysis highlights the presence of geo-cultural clusters of nations with similar innovation system features, and unveils the heterogeneous coupled dynamics of scientific and technological success.
This study represents a first step in the buildup of a comprehensive framework for knowledge creation and innovation.
The last 2 decades have witnessed a dramatic increase in the use of patent citation data in social science research. Facilitated by digitization of the patent data and increasing computing power, a community of practice has grown up that has developed methods for using these data to: measure attributes of innovations such as impact and originality; to trace flows of knowledge across individuals, institutions and regions; and to map innovation networks.
The objective of this article is threefold. First, it takes stock of these main uses. Second, it discusses 4 pitfalls associated with patent citation data, related to office, time and technology, examiner, and strategic effects. Third, it highlights gaps in our understanding and offers directions for future research.
Providing an easy method of browsing a university’s patent output can free up valuable research time for faculty, students, and external researchers. This is especially true for Rice University’s Fondren Library, a USPTO-designated Patent and Trademark Resource Center that serves an academic community widely recognized for cutting edge science and engineering research.
In order to make Rice-generated patents easier to find in the university’s community, a team of technical and public services librarians from Fondren Library devised a method to identify, download, and upload patents to the university’s institutional repository, starting with a backlog of over 300. This article discusses the rationale behind the project, its potential benefits, and challenges as new Rice-generated patents are added to the repository on a monthly basis.
Doctoral candidates may request short-term embargoes on the release of their dissertations in order to apply for patents. This study examines how often inventions described in dissertations in chemical engineering, chemistry, physics, and mathematics are converted into U.S. patent applications, as well as the relationship between dissertation approval dates and patent application filing dates.
Dissertations approved in 2008 by the 13 Committee on Institutional Cooperation universities provided the sample populations. Authors were searched as inventors in the U.S. Patent and Trademark Office’s Patent Applications Full-text database to identify relevant patent applications. The number of dissertations yielding applications varied by discipline. Mathematics had none; chemical engineering had the most.
The majority of applications in chemical engineering and chemistry were filed either prior to or in the same month as the dissertation approval dates; all of those in physics were filed after them. These results will be of interest to librarians, administrators, advisors, and anyone else associated with determining and approving embargoes for dissertations, as well as science and engineering librarians working with graduate students interested in patenting the results of their research.
This chapter documents instances from past centuries where inventors freely shared knowledge of their innovations with other inventors. It is widely believed that such knowledge sharing is a recent development, as in Open Source Software.
Our survey shows, instead, that innovators have long practiced “collective invention” at times, including inventions in such key technologies as steam engines, iron, steel, and textiles.
Generally, innovator behavior was substantially richer than the heroic portrayal often found in textbooks and museums. Knowledge sharing promoted innovation, sometimes coexisting with patents, at other times, not, suggesting that policy should foster both knowledge sharing and invention incentives.