The biggest structural threat to Open Access is (still) researchers

The Success of Open Access

Open Access is in my view a success story. It seems to be fashionable to flagellate ourselves about failures to reach 100% or bumps along the way, but over the course of the last 20 years we’ve gone from a state where most of the world’s literature was not accessible to one where most of it is.

When I started my research career you had to be on campus to read. At the beginning because everything was in print, and later because that was the only place with access. Also the only place with internet access but that changed relatively quickly. Today, while I technically can log into a university network I never do. The vast majority of academic literature I want to read is accessible, and the stuff I can’t? Well it doesn’t get read most of the time.

One of the problems with framing Open Access as a success story is that you have to acknowledge the positive aspects of publishing agreements in delivery high levels of access. The reality is that the countries that provide the highest levels of access to their research outputs are the same countries that have invested heavily in publishing agreements. This has made it easy for researchers and delivered on the policy goals, but it has come at a cost.

The Financial Risks for the Future

In recent work [1] Bianca Kramer and myself have looked at the financial aspects of publishing agreements and projected forwards what those costs might look like in various contexts. We posted a preprint on the methodology and have spoken about the modelling and its consequences based on publicly available data, with a focus on Sweden and Australia. We’ve also done work using non-public data in other settings and the patterns broadly hold.

The current trajectory of publishing costs are unaffordable.

Projected trajectory of publishing system costs for Sweden from a 2024 baseline to 2032 for two scenarios. One based on status quo sees projected costs rise from around €80M to €140M per year and the second scenario, which projects costs for expanded agreements to reach 100% open access rises from the same base to over €150M per year. Graphs from Neylon, C., & Kramer, B. (2026). Trajectory modelling of publishing costs using Open Research Information – An open source analytics pipeline (Version 1.0). Zenodo.  https://doi.org/10.5281/zenodo.20957444

There are a couple of ways forward out of this, but in the short to medium term it seems very unlikely that publishing agreements with their current scale and scope will survive. In Sweden, which we looked at most closely, the library consortium has already signalled a shift away from agreements supporting publishing in mixed open/closed journals (“hybrid”) towards only supporting publishing in purely open access journals (“gold”). Researchers could continue to publish in the more traditional hybrid journals, but to comply with Open Access policy they would need to find the resources to pay APCs. Swedish universities have some additional funding to support this but not enough to cover the projected costs. Grants can cover some but are under significant pressure as well.

In Australia, where we also have data on the specific outputs included within agreements, we see that agreements cover virtually all the hybrid outputs, but only 10% of those in purely open access journals. As you might expect researchers appear to choose to publish in venues where their costs are covered and no additional work is required. There are no immediate plans to radically change these agreements, but with costs projected to rise the money simply isn’t there to cover the projected increases long term.

The Researcher Burden and the Structural Risk

One of the core benefits of large-scale publishing agreements has been hiding all the administrative details from researchers. Provided the system works, we don’t need to worry because everything is taken care of for us. Open Access shifts from being an agenda we were supposed to be engaged with as researchers, supporting the  good of research and our communities, into background infrastructure, an invisible layer of support through which open access just happens.

What happens when that support goes away?

The most charitable projection is that researchers engage en masse and do the work, and, where necessary, provide any extra resource required, to achieve open access for their research outputs. This seems unlikely.

At the other extreme, the risk is that researchers simply continue to take the default. Large commercial publishers and the non-profit society publishers that choose to follow their lead, have consistently used default workflows to push researchers to the choices that suit the publishers’ interest. Here that will be to confront them with either paying for open access or agreeing to restrictions on repository deposit.

Dark patterns abound in journal submission workflows. Significant effort will be required to identify pathways to access and, at least based on history, the submission systems for many publishers won’t provide support.

As researchers we are both focused on the target (getting the output published) and lazy (seeking the quickest way through the submission system to achieve our goal). The likely outcome of a reduction in the scope and coverage of publisher agreements is therefore a significant, perhaps catastrophic reduction in Open Access levels.

The Repository Infrastructure and Staffing Gap

What about alternative pathways to access? In many settings rights retention and copyright exceptions are now in place, and that work continues with strong leadership from many libraries. This helps to provide the legal stability and clarity for repository deposit. In our work at COKI on citation diversity[2] we saw the suggestion that repository access is actually more strongly associated within increased citation counts and diversity. While citations are a very limited measure of use, this does suggest that utilizing repositories can provide a similar level of visibility, access and reuse as open access publishing.

But getting the appropriate version of an author’s accepted manuscript into a repository is also work, and frequently work that falls on the shoulders of one person within a university library. One consequence of the investment in publishing agreements appears to have been a lack of investment in both the technical infrastructure and staffing of repositories. There are specific local success stories and heroic efforts by many in the library system to protect, maintain and build capacity in these systems but, from the evidence we can assemble from the outside, that capacity is patchy and fragile across many countries that have invested heavily in publishing agreements. While publishing agreements have been associated with higher levels of open access publishing, the increase does not appear to flow through to overall levels of open access. Consistently we see a decrease in the proportion of outputs found only in repositories, leading overall to more modest gains in overall access levels and in some cases, no overall increase at all.

Levels of Open Access for CAUL members in Australia and New Zealand using categories that privilege publishing. A substantial increase in Open Access via Hybrid from 2022 onwards is associated with a reduction in the proportion of those outputs only found in repositories. As a result overall levels of open access increase modestly in comparison to the increase in hybrid.

Looking more closely at repository provision we’ve also seen evidence of a lack of investment in local repository coverage at the university level. The data here is complex. The signals we see depend a lot on the technology systems for repositories and the specifics of which sites are being harvested by OpenAlex, and the extent to which this can be linked to affiliations though PIDs or URL patterns. But overall the picture is grim, with many records in repositories appearing to be metadata only and coverage of the institution’s own outputs in full text limited, even for those published Open Access under a CC BY license.

OA categories and presence of outputs in a “home repository” for the Swedish Bibsam consortium. Despite very high levels of open access across Sweden a relatively small number of outputs can be found as full text in a repository associated with the affiliation of an author. A substantial proportion of outputs accessible via the publisher site also do not have a copy that can be identified in a home repository. This analysis is challenging due to differences in our ability to positively identify copies and link them to home repositories but it is useful as an indicative picture.

The risk

The structural risk here is that a combination of under investment in infrastructure and a focus on delivering access without requiring researcher engagement leads to a substantial backwards slide. We can make some estimates of the amount of access delivered via publishing agreements by extrapolating from the Australian and Swedish cases. A worst case scenario is agreement cancellation and no take up of the slack by researchers (and institutions) utilising and backing the capacity that is there in the library systems. The best case scenario is a mass shift by researchers to self-archiving or adoption of non-APC open access publishing venues. Neither of the extremes is likely but drops at national level in open access proportion of 10-30% are plausible. 

Sweden could drop back from ~90% to 60 or 70%. Australia from around 70% back to below 50%. Extrapolating trends to other countries,  the UK could drop from around 80% to 60% and the Netherlands from 90% to 70%. For the latter two interesting questions arise whether the efforts in rights retention and secondary publishing rights (led often from libraries again) and associated work will help to reduce or displace any such drop. 

These are catastrophic falls. From it being a reasonable approximation that “most new scholarly content is available” we could rapidly reach a tipping point where that is no longer a viable position. In combination with the potential for financial retrenchments at large publishers as their parent companies shift away from content to whatever shiny technology they are chasing this week, or when the AI bubble bursts, the entire system is not stable. 

The academic community is not well placed to weather the potential storms in front of us.

The mitigations

I would have liked to have a subject heading of “solutions” but it is perhaps better to start with mitigations of the worst consequences, with the goal that if they are well implemented they can turn into solutions over time. I also want to focus on things within the control of the academic community and research institutions today. 

The key action is a re-engagement of researchers with the principle and practice of Open Access. There are real opportunities here. The AI hype has created some negative perceptions of re-use but also focused researcher attention on what we are allowed to do. Digital and online teaching has forced researchers to think about the licensing of figures we use in our lectures. The crushing weight of over-work means that the ease of access to scholarly content when at home and travelling is experienced as a massive reduction of friction.

Of course, it is easy to forget this as the grind increases and the overall experience is of a “less worse” situation. Positioning the library and information services as creating space, and if necessary in alignment with researchers over leadership is one approach that could work. 

Creating that space includes making repository deposit as painless as possible. The lack of investment in repositories (and arguably the over-investment in corporate controlled, vertically integrated CRIS systems) has left deposit, and particularly mediated deposit as a painful process in most settings. This is not merely a technical investment but also crucially a staff investment. In many settings repository management has dropped in resourcing to a few FTE if not a single person. The expertise and experience of that remaining person will be critical to retraining staff, engaging researchers, and identifying improvements.

At the core this is about being serious about protecting and reinvesting the marginal savings that occur when agreements and subscriptions are cancelled, and not losing those to debt servicing and consolidated revenue. In today’s world that will be a battle, but protecting the existing budget is a starting point. Examples of reinvestment from France (at least as it was) via the Sorbonne to Tromsø offer some direction here.

Engagement programs and repository support both require resources. The challenge will be to capture resources released from agreements and ensure their reinvestment. The actual amounts needed are modest in comparison to current spend, but then they always are. Coordination across institutions also requires investment and is woefully under resourced. What coordination there is generally depends on informal networks heroically trying to hold things in alignment (you know who you are).

References

    Implementing the “Publication as Aggregation”

    Google Wave Lab mockup
    Image by cameronneylon via Flickr

    I wrote a few weeks back about the idea of re-imagining the formally published scientific paper as an aggregation of objects. The idea behind this is that it provides both continuity, through enabling the display of such papers in more or less the same way as we do currently, enhancing functionality by, for instance, embedding active versions of figures in a native form, and at the same time providing a route towards a linked data web for research.

    Fundamentally the idea is that we publish fragments, and then aggregate these fragments together. The mechanism of aggregation is supposed to be an expanded version of the familiar paradigm of citation: the introduction of a paper will link to and cite other papers as usual, and these would be incorporated as links and citations within the presentation of the paper. But in addition the paper will cite the introduction. By default the introduction would be included in the view of the paper presented to the user, but equally the user might choose to only look at figures, only conclusions, or only the citations. Figures would be citations to data, again available on the web, again with a default visualization that might be an embedded active graph or a static image.

    I asserted that the tools for achieving this are more or less in place. Actually that is only half true. The tools for storing, displaying, and even to some extent archiving communications in this form do exist, at least in the form of examples.

    An emerging standard for aggregated objects on the web is the Open Archives Initiative – Object Re-use and Exchange (OAI-ORE). The OAI-ORE object is a generic description of the address of a series of things on the web and how they relate to each other. It is the natural approach for representing the idea of a paper as an aggregation of pieces. The OAI-ORE object itself is RDF with no concept of how it should be displayed or used. It is just a set of things, each labeled with their role in the overall object. In principle at least makes it straightforward to display it in any number of ways. A simple example would be converting OAI-ORE to the NLM-DTD XML format. The devil as always, is in the detail here but this makes a good first pass technical requirement for the details of how the pieces of the OAI-ORE object are described; it must be straightforward to convert to NLM-DTD.

    Once we have both the collection of pieces, their relationship to each other, and the idea that we can choose to display some or all of these pieces in any way we choose then a lot of the rest falls into place. Figures can be data objects, which have a default visualization method. These visualizations can be embedded in the way which is now familiar with audio and video files. But equally references to gene names, structures, and chemical entities could be treated the same way. Want the chemical name? Just click a button, the visualization tool will deliver that. Want the structure? Again, just click the button, toggle the menu, or write the script to ask for it in that form if you are doing that kind of thing. We would need more open standards for embedding objects; probably less Flash, and more open standards but that’s a fairly minor issue.

    There needs to be some communication between the citing object (the paper) and the cited object (the data, figure, text, external reference). This could be built up from the TrackBack or Pingback protocols. There also needs to be default content negotiation: “I want this data, what can you give me? Graph? Table?…ok I’ll take the graph…” That’s just a RESTful API, something which is more or less standard for the consumer web data services but which is badly missing on the research web. None of this is actually terribly difficult and there are good tools out there to do it.

    But I said that we only had half solved. The other side of the problem is good authoring and publishing tools. All of the above assumes that these OAI-ORE objects exist or can be easily built, and that the pieces we want to aggregate are already on the web, ready to be pointed at and embedded. They are not. We have two fundamental problems. First we have to get these things onto the web in a useful and re-useable form. Some of this can be done with existing data services such as ChemSpider, Genbank, PubChem, GEO, etc. but that is the easy end of the problem. The hard bit is the heterogenous mass of pieces of data, Excel spreadsheets, CSV files, XML and binaries, that make up the majority of the research outputs we generate.

    Publication could be made easy, using automatic upload tools and lightweight data services that provide a place for them on the web. The criticism is often made that “just publishing” is not enough because there is no context. What is often missed is that the best way to provide context is for the person who generated the research object to link it in to a larger record. The catch is, for that to be useful they have to publish it to the web first, otherwise the record they create points at a local and inaccessible object. So we need tools that simply push the raw material up onto the web, probably in the short to medium term to secure servers, but ones where the individual objects can be made public at some point.

    So the other tools we need are for authoring these documents. These will look and behave like a Word Processor (or like a LaTeX document for those who prefer that route) but with a clever reference manager and citation creator. Today our reference libraries only contain papers. But imagine that your library contained all of the data you’ve generated as well and that the easiest way to write up your lab notebook was to simply right click and include the reference, select the visualization that you want and you’re done. All the details of default visualizations, of where the data really is, of adding the record to the OAI-ORE root node, all of this is done for you behind the scenes. You might need to select lumps of text to say what their role is, probably using some analogue of styles, similar to the way that the Integrated Content Environment (ICE) system does.

    This environment could be built for Word, for Open Office, for LaTeX. One of the reasons I remain excited about Google Wave is that it should be relatively easy to prototype such an environment, the hooks are already there in a way that they aren’t in traditional document authoring tools because Wave is much more web native. It will however take quite a lot of work. There is also a chicken and egg problem in that such an environment isn’t a whole lot of use without the published objects to aggregate together, and the publication services to provide rich views of the final aggregated documents.  It will be quite a lot of work to build all of these pieces, and it will take some time before the benefits become clear. But I think it is a direction that is worth pursuing because it takes the best of what we already know works on the web and applies it to an evolutionary adaption of the communication style that is already familiar. The revolution comes once the pieces are there for people to work with in new ways.

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