详细信息

Intellectual property rights, standards and data exchange in systems biology  ( SCI-EXPANDED收录)  

文献类型:期刊文献

英文题名:Intellectual property rights, standards and data exchange in systems biology

作者:van Zimmeren, Esther[1];Rutz, Berthold[2];Minssen, Timo[3]

机构:[1]Univ Antwerp, Res Grp Govt & Law, Antwerp, Belgium;[2]European Patent Off, Biotechnol Dir 1 404, Munich, Germany;[3]Univ Copenhagen, CIIR, Copenhagen, Denmark

年份:2016

卷号:11

期号:12

起止页码:1477

外文期刊名:BIOTECHNOLOGY JOURNAL

收录:SCI-EXPANDED(收录号:WOS:000390700800002)、、WOS

基金:We thank ERASysApp for the organizational support and the workshop participants for their valuable contributions.

语种:英文

外文关键词:Data exchange; Intellectual property rights; Patents; Standards; Systems biology

外文摘要:Intellectual property rights (IPRs) have become a key concern for researchers and industry in basically all high-tech sectors. IPRs regularly figure prominently in scientific journals and at scientific conferences and lead to dedicated workshops to increase the awareness and "IPR savviness" of scientists. In 2015, Biotechnology Journal published a report from an expert meeting on "Synthetic Biology & Intellectual Property Rights" organized by the Danish Agency for Science, Technology and Innovation sponsored by the European Research Area Network (ERA-Net) in Synthetic Biology (ERASynBio), in which we provided a number of recommendations for a variety of stakeholders [1]. The current article offers some deeper reflections about the interface between IPRs, standards and data exchange in systems biology (SysBio) resulting from an Expert Meeting funded by another ERA-Net, ERASysAPP. The meeting brought together experts and stakeholders (e.g. scientists, company representatives, officials from public funding organizations) in SysBio from different European countries. Despite the different profiles of the stakeholders at the meeting and the variety of interests, many concerns and opinions were shared. In case particular views were expressed by a specific type of stakeholder, this will be explicitly mentioned in the text. In this article, we explore a number of particularly relevant issues that were discussed at the meeting and offer some recommendations. SysBio involves the study of biological systems at a so-called systems level. This is not a new concept in the life sciences - many former approaches in physiology, enzymology and other scientific disciplines have already taken a systemic view of selected biological subjects. Yet, SysBio has gained strong interest within the past 10 to 15 years. One predominant reason and a critical prerequisite for this success story being that the relevant scientific methodologies and research tools have become far more powerful and accurate. Remarkable technical progress allows scientists to generate, collect, display and analyse quantitative and qualitative data on biological processes and activities in much greater volumes, velocity, variety and veracity. The skilful integration of multiple heterogeneous data sets allows scientists to model and predict biological processes. SysBio's interdisciplinary nature requires data, models and other research assets to be formatted and described in standard ways to enable exchange and reuse of high quality data [2]. This allows a more effective utilisation of the enormous potential that rests in "big data" analysis. Finally, SysBio is often closely linked to or provides the foundation for Synthetic Biology (SynBio). Standardization and data exchange in SysBio may result in challenges and opportunities related to IPRs. The aim of this article is to raise awareness on these issues within the SysBio scientific community and to stimulate exploration of different strategies for dealing with IPRs in order to optimize access to and use of valuable research results.

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