Date: November 10th, 2022
- Prof. Richard GOLD, James McGill Professor of Intellectual Property and Innovation Law (Moderator)
- Prof. Roberto CASO, Professor of Law, President of the Italian Association for Open Science
- Prof. Julien CABAY, Professor of Law at Université Libre de Bruxelles (ULB)
Prof. Laurent MANDERIUX opened the 22nd Encounter by emphasizing the fundamental questions that it will address: is open science a new way that can blossom? Is IP interacting positively or negatively with it? Is it a model that is largely developed? What are the hurdles and limits? How can we make knowledge and new knowledge circulating data in a safer way? Open science has developed steadily and soon has become central in the research world, for business, and for citizens. This is why – he acknowledged – new models have been developed and, in this context, it is important to urge to have more clarity about the relationships between open science and IP. He then welcomed and presented the speakers and the moderator.
Prof. Javier FERNANDEZ-LASQUETTY welcomed and thanked the panel, emphasizing the importance of open science for society and researchers.
Prof. GOLD, acting as a moderator and speaker, challenged the speakers with the following questions:
- Are IP systems and open science incompatible?
Prof. CASO maintained that IP and OS are not incompatible in absolute, but open science is not compatible with an expanding regime of more exclusive rights. He mentioned that the sui generis database right showcases this. Expanding on his view, he recalled that database right in Europe is the most impressive example of conflict between open science and IP. The aim of the database right was to foster the database industry in the EU. However, the effect was the opposite, with evidence showing that it fostered the database industry in other countries. He added that database right is hard to manage in the open science system and in the university or research institutions.
Prof. CABAY expressed doubts about whether these models are compatible or incompatible at all. He argued that compatibility/incompatibility rather depends on the way they are handled and managed. For example, he envisages “incompatibility” when considering territorial limitations: while IP is of territorial nature, science or open science depicts its worldwide nature. Thus, in practice, it is difficult that if a publication is made in open access in one country, that publication will be also accessible in other countries. Another incompatibility he acknowledged is the constant differentiation between “science” use and “commercial” use. Based on this, he questioned how will be made in practice the distinction between text and data mining for commercial and non-commercial use. He argued that in such situations there is clear overlap and that any distinction necessitates data measurement and methods. Thus, it is uncertain if when making text and data mining for research, the limitations set for commercial use will not be faced. He concludes that at the current stage, data is not as open as possible and closed as necessary, but more on the contrary.
Prof. GOLD added that open science depends on IP. An example is the use of data exclusivity, which is completely compatible with sharing knowledge: the person who controls the data package (pharmaceutical knowledge) has control over it but can release it to the public so others can build upon it, without undermining the exclusivity. Thus, he agreed with the previous speakers that the compatibility between open science and IP depends on the IP regime and how it is exercised.
- What are the incentives to open science and IP for different fields?
Prof. GOLD recalled that the IP regime does not work in certain areas, such as antibiotics resistance, rare diseases, and pediatric diseases, because there is too much uncertainty in the market. Thus, he argued that we need alternative models, which are more collaborative and have a multi-stakeholder approach to innovation. Based on this, he proposed that in areas for which traditionally we have relied on IP we should consider open science as a way for commercial possibilities.
Prof. CASO stated that in order to investigate deeply the relationships between open science and IP it is necessary to take into account other incentives. For instance, the incentive of young and established researchers in terms of research evaluation. As regards incentives to other forms of cooperation and collaboration environments rather than competition, he mentioned that the current debate at the EU level is on the amendment to the research evaluation. This would take into account other metrics rather than publications, such as the cooperation among scientists to give society the results. The research environment should support this approach.
Prof. CABAY considered that other results rather than publications should be considered, such as interdisciplinarity or relying on international networks. The problem with the incentives of the current system is that any researcher has to start with the state of the art, but he/she might not have access to publications. This puts researchers of different geographical areas at different levels or opportunities.
Prof. GOLD added that young generations are more in favor of open science. He believes that brings opportunities, reputation, networks, and visibility.
- What are the disincentives: what should not be done?
Prof. CASO argued that the most relevant disincentive is the research assessment based on individuality and that the bibliometric is based on this idea. He added that the history of science teaches us that science is a cooperative endeavor, so if we teach researchers that they have to publish as a single author they have a greater ranking, this is the opposite of open science. He added that the control of the infrastructure is another issue. The public sector should not let only the private sector or big tech control the science communication system.
He recalled Shavell’s paradox and asserts that there is no rationale in the copyright transfer agreement to the publisher without monetary compensation. If we want to defend our academic freedom, we must imagine a sort of secondary publication or communication right in order to achieve open access as authors.
Prof. GOLD asserted that in the publishing sector model the author must waive the copyright and will even pay for having the work disseminated to all people, without getting money, although the author will probably pay more without the copyright system. This is the opposite that we can find in the patent system, where payment is done for having an exclusive right subject to dissemination. In this case, not all is disseminated: for example, clinical trial that does not contribute to the patent. So, we created an atmosphere where we all collectively pay higher prices to access pieces of knowledge. Several companies investing in research and having negative results do not share them so all this investment is wasted because we have chosen a system based on secrecy with limited sharing. Open science is not just bad publications but also the method and process in science, selection of projects, etc.
- How does the interaction between IP and secrecy rights and the business model interfere with the process of science, beyond just academic publishing? Beyond the open publication, where else the open science becomes an important tool for advancing the process of science?
Prof. CABAY shared that when performing data mining for research with engineers, the data set is based on data that cannot be shared although such data represent the state of the art. As a lawyer, he could negotiate some terms which allow him to do something that is not included in standard provisions. So, researchers must be trained in certain legal aspects in order to know their rights with the purpose of fostering open research.
Prof CASO agreed, stressing that some of the processes are in the hands of big companies, like Google, who have the power of processing data and control them. Consequently, we are losing control over some fundamental pieces of the scientific process. In particular, if we don’t know the logic of AI applied to the scientific data from big companies, we are losing control over a fundamental pillar of our scientific process. Karen Maex expressed this concern about the control over data and scientific processes and proposed a Digital University Act, based on the idea of the control of data from the university system.
- What do we think about the role of open science in terms of national security?
Prof. CABAY expressed his fear about opening the data to anyone for national security for the fact that they can be appropriated and there would be commodification of them. As we still are in an IP system, which entails exclusive rights, publishers will eventually be paid to publish those works. Publishers are in favor of open access because this business model benefits them.
Prof. CASO suggested that open science is a tool to build democracy and peace, exactly the opposite of a world divided by borders, walls, etc. For example, we use the expression “patent wars” for the vaccination anti-COVID-19 because it was a geopolitical problem.
Prof. GOLD added that open science is not a single act but an approach in which the expectation is that of mutual sharing in order to give access to the community.
- Which priority would you identify as the first step in order to alleviate tensions between traditional IP and Open Science as a tool serving society?
Prof. CASO suggested reforming IP: the idea of expanding IP to data is contrary to the historical basis of IP. In particular, in copyright, the dichotomy idea-expression was conceived for this reason. Prof. GOLD cited the example of the US model of the ‘fair use fair deal’ clause and no data protection system, and Prof. CABAY would put statutory licensing to publication. The first step would be to have a discussion on a treaty at the international level because there are many jurisdictions introducing open science.
Prof. GOLD stressed that in open science we try and fail until we succeed. We must open the mindset that the IP system works in some situations but does not work in others. Policymakers have to set up a space and fund that space geared to supporting open science projects. Where one form of incentive – for example, IP – does not work, we prioritize other incentives, such as philanthropic or governmental funding.
- How do you think the reward system should be structured inside open science paradigm, especially for early career researchers? How to change the incentive structure for young researchers?
Prof. CABAY suggested measuring impact but allowing impact to be assessed in multiple ways. Prof. CASO took into account teaching and mentoring activities. In Italy, it does not count in the assessment. This is completely wrong, as teaching is the first way to practice open science.
Prof. Manuel DESANTES closed the encounter emphasizing the wonderful discussion had opened the Pandora box of an extremely exciting topic. Nobody doubts that the exponential explosion of open science is going to change our lives but we are still far from identifying how many things are going to change in the IP world in the following years … is this an academic dream or should we pursue the path to find a compromise where intellectual property enhances open science? And if this is the case, how to do it? Many questions could not be replied (for instance, a) Should open science take advantage of 35 years of open source software, 10 years of open data and open hardware, etc. (successes and challenges) to look at rewards, governance, IP management… and learn from them?, or b) Should we rethink the incentives normally used at the universities and research-based organizations to measure achievements in science? So, the main conclusion is that we have to devote many more Encounters to the complex relations between open science and intellectual property in the future.
Report written by Magalí CONTARDI and Lara FARRUGGIA
 Karen Maex: ‘Protect independent and public knowledge.’ Speech January 8th 2021, https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwiavsCj5_D4AhVL-aQKHQzEA64QFnoECAUQAQ&url=https%3A%2F%2Fwww.uva.nl%2Fbinaries%2Fcontent%2Fassets%2Fuva%2Fnl%2Fover-de-uva%2Fspeech-karen-maex—dies-2021.pdf&usg=AOvVaw2V5_UZK8444_8hFUU2XU9s. See also the study of the Panel for the Future of Science and Technology (STOA), of the European Parliament, Governing data and artificial intelligence for all: Models for sustainable and just data governance, 11/07/2022, https://www.europarl.europa.eu/stoa/en/document/EPRS_STU(2022)729533.