Suchergebnisse

Reducing the risk of misuse of data is particularly crucial in the context of research on highly pathogenic agents. But as demonstrated during the COVID19 crisis, sharing data of high quality is a sine qua non condition to compare research results at a large scale. Our actual challenge is to ensure compliance with the FAIR principles while taking into account the dangers and pitfalls concerning dual use type data and samples (because there are often some good reasons to not share). Dual Use Research of Concern (DURC) is defined by the United States Government Policy for Oversight of Life Sciences as "Life sciences research that, based on current understanding, can be reasonably anticipated to provide knowledge, information, products, or technologies that could be directly misapplied to pose a significant threat, with broad potential consequences, to public health and safety, agricultural crops and other plants, animals, the environment, materiel, or national security." Many countries or regions have adopted laws to regulate exchanges concerning DURC. As an example, in the European Union, dual use biological materials are listed in Council Regulation (EC) No 428/2009" [https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A32009R0428]. How can we take these aspects into account so that the respect of the FAIR principles is done while respecting these legislations? How to increase the possibilities of sharing dual use data, to reduce overlap, encourage collaboration on DURC while securing their uses? How to reward and credit back good practices? For example, what data should be prohibited to share? Who should be prohibited from sharing or accessing data which may be classified as DURC? DURC data typically falls into one or more of these categories: Demonstrate how to render a vaccine ineffective Enhance the harmful consequences of a pathogen or toxin or render a non-pathogen virulent Increase the transmissibility of a pathogen Alter the host range of a pathogen or toxin Enable evasion of diagnostic or ...

International audience ; Reducing the risk of misuse of data is particularly crucial in the context of research on highly pathogenic agents. But as demonstrated during the COVID19 crisis, sharing data of high quality is a sine qua non condition to compare research results at a large scale.Our actual challenge is to ensure compliance with the FAIR principles while taking into account the dangers and pitfalls concerning dual use type data and samples (because there are often some good reasons to not share).Dual Use Research of Concern (DURC) is defined by the United States Government Policy for Oversight of Life Sciences as "Life sciences research that, based on current understanding, can be reasonably anticipated to provide knowledge, information, products, or technologies that could be directly misapplied to pose a significant threat, with broad potential consequences, to public health and safety, agricultural crops and other plants, animals, the environment, materiel, or national security." Many countries or regions have adopted laws to regulate exchanges concerning DURC. As an example, in the European Union, dual use biological materials are listed in Council Regulation (EC) No 428/2009" [https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A32009R0428]. How can we take these aspects into account so that the respect of the FAIR principles is done while respecting these legislations? How to increase the possibilities of sharing dual use data, to reduce overlap, encourage collaboration on DURC while securing their uses? How to reward and credit back good practices?For example, what data should be prohibited to share? Who should be prohibited from sharing or accessing data which may be classified as DURC?DURC data typically falls into one or more of these categories:Demonstrate how to render a vaccine ineffectiveEnhance the harmful consequences of a pathogen or toxin or render a non-pathogen virulent Increase the transmissibility of a pathogen Alter the host range of a pathogen or toxin Enable evasion of ...

Reducing the risk of misuse of data is particularly crucial in the context of research on highly pathogenic agents. But as demonstrated during the COVID19 crisis, sharing data of high quality is a sine qua non condition to compare research results at a large scale. Our actual challenge is to ensure compliance with the FAIR principles while taking into account the dangers and pitfalls concerning dual use type data and samples (because there are often some good reasons to not share). Dual Use Research of Concern (DURC) is defined by the United States Government Policy for Oversight of Life Sciences as "Life sciences research that, based on current understanding, can be reasonably anticipated to provide knowledge, information, products, or technologies that could be directly misapplied to pose a significant threat, with broad potential consequences, to public health and safety, agricultural crops and other plants, animals, the environment, materiel, or national security." Many countries or regions have adopted laws to regulate exchanges concerning DURC. As an example, in the European Union, dual use biological materials are listed in Council Regulation (EC) No 428/2009" [https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A32009R0428]. How can we take these aspects into account so that the respect of the FAIR principles is done while respecting these legislations? How to increase the possibilities of sharing dual use data, to reduce overlap, encourage collaboration on DURC while securing their uses? How to reward and credit back good practices? For example, what data should be prohibited to share? Who should be prohibited from sharing or accessing data which may be classified as DURC? DURC data typically falls into one or more of these categories: Demonstrate how to render a vaccine ineffective Enhance the harmful consequences of a pathogen or toxin or render a non-pathogen virulent Increase the transmissibility of a pathogen Alter the host range of a pathogen or toxin Enable evasion of diagnostic or ...