There are many benefits associated with an open science model. Image adapted from: Gaelen Pinnock/UCT; CC-BY-SA 4.0.

Once published, even access to research is not seamless. The majority of academic journals still require a subscription to access. Subscriptions are expensive; Australian universities alone currently spend more than $300 million per year on subscriptions to academic journals. Access to academic journals also varies between universities with varying library budgets. The main markets for subscriptions to the commercial journal literature are higher education and health, with some access to government and commercial.

The Department of Education and Training statistics indicate 1.5 million students and 130,000 staff members are in universities, while the Department of Health indicates there are 600,000 health workers. Together these comprise about 2.5 million people or 10% of the Australian population, noting that the largest group, university students, move through universities and may actually lose access after graduation. This percentage is likely to be similar for other developed nations but will be much worse for those in countries with developing economies—they simply cannot afford the subscription fees.

One reason for this lack of access to published research is because the means of sharing of research largely sits outside of universities. Furthermore, most of the journals—and indeed much of the infrastructure that underpins research dissemination—are owned by a small number of companies with high profits. Just one of these, Elsevier, made almost AUD2 billion (£982 million) profit in 2019. Hence, despite the enormous sums spent globally on publishing, which could support research being open, traditional publishers of research (i.e. non-open access ones) have an inherent interest in, at the least, slowing the transition from the status quo. Publishers know that lack of access in emergencies is unacceptable and have indeed made much research on COVID-19 open, just as they did during the Ebola epidemic and the recent Australian bushfire crisis, only to quietly close off access afterwards.

There are signs that publishers are thinking about how to reinstate control after the emergency. On its corporate site for COVID-19 research, Elsevier states that ‘these permissions are granted for free by Elsevier for as long as the COVID-19 Resource Center remains active’ and the publisher requires its own ‘els-covid’ licence terms on collective resources. Some publishers have notably not participated at all in coordinated calls to make coronavirus-related articles discoverable and accessible to facilitate text mining (computer-aided searching and analysis of research) and secondary analysis—the American Medical Association, publisher of JAMA, is one example.

Opening up research on the specific topic of the current crisis is really only a gesture. In the current pandemic, researchers are also searching for information from the past literature on many topics, such as on the properties of ventilators and face masks as well as on previous coronaviruses. These papers, especially older ones, have largely not been made available in, for example, the COVID-19 Open Research Dataset (CORD-19) of scholarly literature.

The roots of this system are complex and come from a time when sharing research via paper journals and subscriptions were the only options. This has left us with a research system that is much less efficient than it could be: duplicated funding, duplicated effort, and more time taken to solve big scientific and health problems. We now need a system that not only works for but also exploits the opportunities of a world where research is digital from beginning to end—where seamless connections are the key to fully interoperable research.

Building a new and open system

The open research practices on COVID-19 are acting as a real-time lesson for how the system could work in the future. However, moving to an open system will not be trivial, especially as some current open access initiatives have led to publishing costs falling on individual researchers, which is not appropriate or sustainable in the long term. It requires a reimagining of the whole research infrastructure which includes a systemic, national and international rerouting of financial flows. This money is already in the system but is currently paid piecemeal. A system that was designed to be open would ensure the costs of that openness are built upfront into the research support and funding processes themselves so that, for example, the costs of data curation and the costs of final dissemination become simply part of the cost of doing research.

Since the beginning of the 21st century, groups and individuals in Australia and across the world have been working on a variety of initiatives to open and speed up science. These initiatives include making journal articles open (free to read, share and reuse—that is, the open access mentioned above) which both the ARC and NHMRCsupport through policies, national efforts to promote better data management in organisations such as the Australian Research Data Commons, supporting open infrastructure, and developing open educational resources (OERs). Indeed, OERs have become especially important in the past few weeks as many schools and universities have had to rapidly transition to online learning. Despite communities of practice and innovation by researchers and other experts, an assortment of organisations and companies, and repeated calls for a national approach,  global and Australian initiatives remain largely fragmented. International efforts outside of times of emergencies have not had uniform buy-in and there is no ongoing nationally coordinated Australian effort for open science.

The current crisis offers an opportunity to refashion a better system—to make it open and FAIR so that not just humans but, increasingly, machines can be enlisted to ensure that research is maximised. For this to become the norm, it will require the reshaping of research systems and investment at many levels: practical, legal, financial and human. It also requires careful thought around equity, both of participation in research and access to that research, including consideration of initiatives such as the CARE Principles for Indigenous Data Governance.

Taking the FAIR principles as a guide illustrates some of the issues. For research to be findable requires that all research publications, the research data behind them and the researchers who produce the work are all uniquely identified through permanent machine-readable identifiers. For research to be seamlessly accessible, subscription or other barriers have to be removed, while at the same time there is a need to be mindful of the management of sharing sensitive data. For research to be interoperable requires a workforce that has the skills to curate research data and other outputs. Finally, for research to be fully reusable it needs a legal framework, which is achieved through the application of open licences.

How might this look in practice? In the current pandemic an effort coordinated by the White House gathered together a massive, freely-available, well-curated and machine-readable set of research on the COVID-19 pandemic which can be used by researchers globally for further research and which has already been downloaded thousands of times.

Transforming science and society

The COVID-19 pandemic is leading to rapid rethinking of how many parts of society function. It should also be the catalyst that finally lays to rest the myth that closed research as the norm is acceptable, either morally, economically or technically. We need a whole-of-system coordinated reshaping from grassroots initiatives through to national policy and political commitment, that aligns with international initiatives—such as the Sustainable Development Goals for which access to information is key—and which are sensitive to national needs. Though there are many issues to work through, as for the other challenges we are facing with COVID-19, these issues can be solved if we only choose to do so. Arguably, we can’t afford not to.

This topic’s links to the Sustainable Development Goals:

Views expressed in this feature remain those of the authors.  Conflict of interest declaration: Professor Virginia Barbour is employed by AOASG, which advocates for open access.This article has been peer reviewed by the following experts: Associate Professor Lucy Montgomery Program Lead, Innovation in Knowledge Communication, Centre for Culture and Technology, Curtin University; and members of the Australian Academy of Science’s National Committee for Data in Science (Professor Virginia Barbour, a member of the committee, was not involved in the peer review process).

© 2020 Barbour and Borchert. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.