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Enregistrement W2994312634

Functional Foods and Intellectual Property Rights: The Importance of an Integrated Approach

2006· article· en· W2994312634 sur OpenAlexvenueaboutno aff
Karen Lynne Durell

Notice bibliographique

RevueHealth law review · 2006
Typearticle
Langueen
DomaineComputer Science
ThématiqueOpen Source Software Innovations
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIntellectual propertyFunctional foodBusinessMarketingPublic economicsEconomicsMedicinePolitical scienceLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Functional foods are a relatively recent technology, but this form of innovation is almost daily increasing in marketplace importance. One author has stated that the growing importance of functional foods is due to the fact that, is estimated that the purchasing decisions of at least eighty percent of primary shoppers in America are influenced by the desire to manage and/or prevent a specific disease or condition, or to follow a doctors' advice. (1) These statistics show that the public is attracted to the promise of significant health benefits that functional foods may offer. These consumers want to optimize their health and may therefore be open to the utilization of therapies that are alternatives to conventional medicines. (2) The market size of functional foods in the US-estimated to be $265 billion--demonstrates the high level of public interest. (3) As with other emerging technologies, the role of intellectual property rights [IPRs] in the functional food sphere is a critical topic. Presently the commercial market all but insists that key technologies seek IPR protection. (4) Functional foods are no exception. It should be noted that there are two forms of functional foods; those which are developed as a result of scientific research, and those which are familiar foods that naturally offer particular health benefits. The IPRs that may be sought to protect each form of functional foods may differ. This is true because new and existing functional foods have different characteristics, as do the various forms of IPRs which may apply to a functional food project--namely patents, copyright, trademark, etc. The relationship between types of functional foods and forms of IPRs are interwoven, as the combination of IPRs which may apply to a functional food will be dictated by the nature of the functional food itself. For example, processed foods, such as breads with added Omega-3, may attract different IPRs than fruit produce that has been crossbred to comprise increased anti-oxidants. (5) Of course, the act of seeking IPRs is only one step towards the goal of achieving adequate intellectual property [IP] protection for a functional food. Another crucial step is IP management. This step involves taking a big-picture view of a functional food innovation and its intended application and uses. Only when looking through a wide-angle lens can the interrelation of forms of IPRs and the implication of IPR applications be seen and analysed. This paper will therefore be divided into two sections. First, we will address the different IPRs that may be granted to aspects of a functional food innovation. Second, we will identify how IP property management may be applied to a research project and the benefits of doing so. The culmination of this discussion will be a better understanding of how IPRs granted in a functional food research project are interrelated and how this relationship should shape the application of the IPRs generally. 1. IPRs for Functional Foods The form of IPR that is most commonly associated with research projects is patent rights. In fact, in some situations the discussion of IPRs begins and ends with patent rights--if a project is not patentable it is considered not to be eligible for IPR protection. (6) This is a narrow view of IPRs and a misperception of the breadth of rights that may attach to aspects of a research project. The truth is that there are several forms of IPRs in existence and depending upon the nature of a research project, a variety of rights may be utilized to provide protection to elements of a functional foods project. Functional foods come in many different forms--yogurts with pro-biotics; fruits with enhanced nutritional value; or eggs, breads and fruit juices with Omega-3 added--just to name a few examples. For the purpose of this paper we will focus on a recent functional food project, the Authentique d'Orleans strawberry. Through crossbreeding, researchers at Agriculture and Agri-foods Canada and the Nutraceuticals and Functional Foods Institute of Laval University have developed a strawberry that has double the antioxidants of traditional strawberries. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,025
score de la tête « metaresearch » (Gemma)0,031
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,025
Score d'incertitude au seuil0,135

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0250,031
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,002
Études des sciences et des technologies0,0050,058
Communication savante0,0250,041
Science ouverte0,0030,010
Intégrité de la recherche0,0190,016
Charge utile insuffisante (le modèle a refusé de juger)0,0150,003

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,045
Tête enseignante GPT0,292
Écart entre enseignants0,247 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2006
Routes d'admission2
Résumé présentoui

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