Book Analytics Service testimonials

Don’t just take our word for it – read about how our partner presses are benefitting from the Book Analytics Service:

The Books Analytics Service has been incredibly beneficial for Big Ten Open Books.

We were able to implement our dashboard with data from several different content hosting platforms. The amount of time and intellectual energy that would have had to be spent on manually aggregating this data is significant and would not have been able to demonstrate the granularity of the interactions with our content.

Having this robust, and straightforward technology that pulls together all our data in one place has been amazing for us. Our open access content project is just in the first few months of our initial launch.

This data gathered and presented by the BAD project has allowed us to report back to our investors about the community engagement we’ve realized. Implementing the dashboard for Big Ten Open Books has been essential to our project’s success and has helped the broader academic community to realize how impactful Humanities scholarship can be when made open access. It is now a core element of our site.

We are so appreciative of the work that the BAD project staff have done to make the usage of open access content more visible. Making this information public on our site exceeds our expectations for being able to provide transparency to our investors. Thank you for all the work you do!

Kate McCready, Visiting Program Officer at the Big Ten Academic Alliance

CEU Press, with the help of COPIM, launched its open access model in 2021. Opening the Future funds the frontlist in open access by leveraging backlist title sales. The key to the success of the model will be demonstrating impact, which includes usage of the open access titles that we publish. Since we share our OA books on as many platforms as possible, aggregating OA usage across these sites and making sense of that data is time consuming and requires standardisation across the industry. The Book Analytics Service is the solution to this problem!

Emily Poznanski, Director, CEU Press

The BAD project team have made it possible for University of Michigan Press to pilot the groundbreaking Book Analytics Service in the USA. The team’s information science expertise has smoothed the bumpy task of normalizing data from the many different platforms that host our open-access books. The team has shown both innovation and a commitment to integrity and partnership. The benefits of their work are hard to overstate. Authors can now easily monitor the impact of their individual titles to advance their academic careers. Funders can use the dashboard to obtain proof of return on investments. The visualizations of global reach have reinforced support for the Press’s equitable business model that never requires author payment. As 2022-2023 Association of University Presses President, I know that many other publishers are excited by the Book Analytics Service. This is due to the expertise of the BAD project team.

Charles Watkinson, Director, University of Michigan Press and Associate University Librarian, University of Michigan Library

We have worked with the BAD project team since 2019 on the management of UCL Press book download data, including gathering, collating and presenting data on a public dashboard developed by the team. They provide a seamless and reliable service that we have not found from any other provider, and as such we regularly recommend them to other presses.

Our dashboard provides vital information about the global usage of the open access books we publish which demonstrates the success of the OA model to our institution and shows how the university’s investment in UCL Press benefits UCL. It also means authors can easily see how their books are performing, and other stakeholders such as funders, prospective authors and the wider scholarly publishing community can see the global impact of OA books, which helps to make the case for greater support for a transition to OA.

Lara Speicher, Director of Publishing, UCL Press

Laura J. Wilkinson


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Everything you need to know to get started with the Book Analytics Service

Niels and I were recently at the Frankfurt Book Fair to meet with publishers and spread the word about our new Book Analytics Service (BAS). 

Laura J. Wilkinson and Niels Stern at the Frankfurt Book Fair in October 2023

Funders increasingly require data about the usage of open access books. This data is also useful for authors, and for explaining the case for the increased reach of OA content compared with paid content.

Gathering usage data for OA books is time-consuming, as you have to retrieve it from all the different platforms which host your content. The output formats and even what’s being counted will vary between these platforms, increasing the amount of work you need to do to synthesise the data.

The Book Analytics Dashboard (BAD) project is the origin of the Book Analytics Service. It’s come a long way from its early days as a pilot, and the service is now functioning and hosted by OAPEN, under the same community governance model that has made OAPEN a trusted infrastructure for OA books. Funded by the Mellon Foundation, the Book Analytics Dashboard project (2022-2025) is focused on creating a sustainable OA book focused analytics service. We are indebted to our fantastic COKI colleagues at Curtin University for their meticulous technical development work – thank you all!

Our core idea when designing the dashboard was to make it faster and easier for you to see usage for your OA titles across a range of data sources, such as OAPEN, JSTOR, and Google Books among others. We label downloads and views from the different sources, so that clear(?) comparisons can be made between what’s being counted in different places. 

To ensure the future of the Book Analytics Service beyond the timescale of the project funding, it’s essential that we have a sustainability model to bring in enough revenue to keep it going. This is a key element of the Principles of Open Scholarly Infrastructure – see OAPEN & DOAB’s POSI self-audit.

With our project colleagues, we carefully modelled the costs of running the service, and translated this into a pricing model which takes publisher revenue into account. This cost recovery model means that if we get more publishers to sign up than are necessary to cover the costs, we can (in discussion with the community) use the surplus to develop additional dashboard features, or lower the future cost of the service. None of the revenue is paid to shareholders – as a Dutch stichting, we don’t have any – and any surplus is reinvested in our work for the community. 

Much of the cost of onboarding a new publisher to the Book Analytics Service arises from the work needed to integrate their data feeds at the start, which is why it’s not feasible to offer a free trial. However, University of Michigan Press have kindly agreed to make their dashboard and usage data open so that anyone can see it and play with the settings to see how it works – come and have a look at our demo dashboard for yourself.

At the recent Frankfurt Book Fair, some publishers asked us how the Book Analytics Service is different from commercial alternatives. Here are some of the ways in which we differ:

  • BAS is built around the book as the primary object, rather than developing a system for journals and then including books as a sidecar/afterthought.
  • BAS is hosted by OAPEN, an independent, not-for-profit organisation which can’t be sold, so our work is not at risk of being acquired and locked in by a commercial company. Learn more about our multi-stakeholder community governance and transparency in our OAPEN & DOAB’s POSI self-audit.
  • Our code is open source, allowing you to inspect, replicate, and improve it. This open box approach means you can know what’s happened to the data used in your dashboard, in contrast with opaque systems which obscure their internal workings. We present you with the collated data for your interpretation rather than producing badges or scores with no working.

Note that although our source code is open, your publisher data is private. We know that although publishers often want to see and compare themselves against others’ data, they rarely want anyone else to see their data. This is the type of question that is being explored by our parallel project, the OA Book Usage Data Trust, which focuses on the ethics and standards of data exchange.

What would you like to do next?

  • Experiment with the template Book Analytics Service dashboard (thank you for choosing to make your dashboard data open, University of Michigan Press!)
  • Learn more about how the dashboard can help you, the service levels, and pricing model. Smaller publishers may like to explore the possibility of a consortium model, in which they collaborate with other presses to share a dashboard and its costs.
  • Need help getting your metadata into the correct export format to send to BAS, or other services? Try using Thoth to create, manage, and disseminate title metadata.
  • Interested to know more about funder requirements? The PALOMERA (Policy Alignment of Open Access Monographs in the European Research Area) project investigates the reasons why books are only rarely mandated to be published OA by research funders and institutions within the European Research Area (ERA). PALOMERA will provide actionable recommendations and concrete resources to support and coordinate aligned funder and institutional policies for OA books. Such services will also include monitoring of the usage of OA books which is another use case for the Book Analytics Service.

Ready to participate? We’re delighted to have you on board! Get started by contacting us for an initial conversation.

Laura J. Wilkinson


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