Data-Driven Transition: Joint Reporting of Subscription Expenditure and Publication Costs

Barbers, Irene; Kalinna, Nadja; Mittermaier, Bernhard

doi:10.3390/publications6020019

Cited by 8 publications

(7 citation statements)

References 13 publications

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“…Thus, authors may use easier accessible funds to cover the cost, or the APC prices may exceed possible limits of publication funds, such as, for example, the price cap of 2,000€ in the program 'Open Access Publizieren' of Deutsche Forschungsgemeinschaft (DFG) [33]. In addition, the publication funds of a university of a certain year may have already been spent at the time of the payment of APC [36]. The results of the investigation of the second blind spot of the monitoring system OpenAPC can be found in table 2.…”

Section: Resultsmentioning

confidence: 99%

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Investigating the Blind Spot of a Monitoring System for Article Processing Charges

Bruns¹,

Taubert²

2021

Preprint

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The Open Access (OA) publishing model that is based on article processing charges (APC) is often associated with the potential for more transparency regarding the expenditures for publications. However, the extent to which transparency can be achieved depends not least on the completeness of data in APC monitoring systems. This article investigates two blind spots of the largest collection of APC payment information, OpenAPC. It aims to identify likely APC-liable publications for German universities that contribute to this system and for those that do not provide data to it. The calculation combines data from Web of Science, the ISSN-Gold-OA-list and OpenAPC. The results show that for the group of universities contributing to the monitoring system, more than half of the APC payments are not covered by it and the average payments for non-covered APCs is higher than for APCs covered by the system. In addition, the group of universities that does not contribute to OpenAPC accounts for two thirds of the number of APC-liable publications recorded for contributing universities. Regarding the size of these blind spots, the value of the monitoring system is limited at present.

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Section: Resultsmentioning

confidence: 99%

“…In order to unfold their full potential for transparency regarding the expenditures for publishing in science, the reporting procedures of research organizations need to improve. Capturing APC payments more exhaustively by extracting them from the accounting systems of the financial administration could be one way to go [36,37].…”

Section: Discussionmentioning

confidence: 99%

Investigating the Blind Spot of a Monitoring System for Article Processing Charges

Bruns¹,

Taubert²

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…In order to unfold their full potential for transparency, the reporting procedures of research organizations need to improve. Capturing APC payments more exhaustively by extracting them from the accounting systems of the financial administration could be one way to go [34,35]. The results of the study, however, do not only call for an improvement of the data in monitoring systems but also point to the need of follow-up studies:…”

Section: Discussionmentioning

confidence: 99%

Investigating the Blind Spot of a Monitoring System for Article Processing Charges

Bruns

Taubert

2021

Publications

View full text Add to dashboard Cite

The Open Access (OA) publishing model that is based on article processing charges (APC) is often associated with the potential for more transparency regarding the expenditures for publications. However, the extent to which transparency can be achieved depends not least on the completeness of data in APC monitoring systems. This article investigates two blind spots of the largest collection of APC payment information, OpenAPC. It aims to identify likely APC-liable publications for German universities that contribute to this system and for those that do not provide data to it. The calculation combines data from Web of Science, the ISSN-Gold-OA-list and OpenAPC. The results show that for the group of universities contributing to the monitoring system, more than half of the APC payments are not covered by it and the average payments for non-covered APCs is higher than for APCs covered by the system. In addition, the group of universities that do not contribute to OpenAPC accounts for two thirds of the number of APC-liable publications recorded for contributing universities. Regarding the size of these blind spots, the value of the monitoring system is limited at present.

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“…No longer limited to managing third-party literature that the library makes available to its users, this work concerns publications from the library's institution. While these questions must be answered in order to consistently manage information on income/expenditure for scientific publications (Barbers et al, 2018), they frequently cause difficulty. In many cases, a complete bibliographic record for the institution is not available; in others, relevant databases have not been licensed or do not contain reliable information on corresponding authors.…”

Section: 1data Handlingmentioning

confidence: 99%

Open Access Monitor Germany: Best Practice in Providing Metrics for Analysis and Decision-Making

2022

Self Cite

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In light of the ongoing transformation of scholarly publishing towards open access, libraries need data-based tools that enable them to make decisions that respond to the challenges posed by this shift. Tasks such as collection development, applications for funding, or consulting researchers on publication venues require a solid base of data, which is not always easily available to librarians. Funded by the German Federal Ministry of Education and Research (BMBF), the Open Access Monitor Germany (OAM) aims to provide libraries, funders, and researchers with a freely available tool that presents data on publications and citations for analysis. The OAM records the publication output of German academic institutions in scientific journals. Through analyses of subscription fees and (open access) publication fees, it helps to monitor and 2 support the transition of the publishing system towards an open access system. To this end, data from existing sources are collated within an expanded database, made available to users in an open interface, and disseminated by means of scientific publications. The OAM draws on sources such as Unpaywall, Dimensions, Web of Science, Scopus, and OpenAPC. Unpaywall is used as a central data source for publication metadata including open access availability; this data is then matched with Crossref data for journal-level metadata and finally with Dimensions, Web of Science and Scopus data for affiliations and citation data. The connection to OpenAPC provides data on publication costs for each participating institution. The interface https://openaccess-monitor.de/publications presents users with a wide range of filters that can be used to customize the underlying data in line with specific needs. Users can switch between Dimensions, Web of Science and Scopus affiliations and make use of different analysis types including publication analyses, cost analyses, and citation analyses.Results are presented as tables as well as charts and can be downloaded for further use.In the future, additional data sources including subscriptions to scientific journals and subscription payments will be integrated to allow the shift in payment flows in the changing publication market to be observed. The integration of data from the electronic resource management system LAS:eR has already been initiated and will soon be completed. Moreover, interfaces will be created to connect the Alma and FOLIO systems. Together with data on publication costs, this will provide participating institutions with easily accessible overview of their total costs, thus enabling them to calculate an integrated budget for subscriptions and publications. Institutions using the OAM are advised with regard to analyzing data and technically integrating the OAM into their own applications. Small and medium-sized publishers from German-speaking countries are supported in the negotiation of transformation contracts by means of data from the OAM. The OAM project team also conducts studies that address a number of scientific issues, for example...

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Data-Driven Transition: Joint Reporting of Subscription Expenditure and Publication Costs

Cited by 8 publications

References 13 publications

Investigating the Blind Spot of a Monitoring System for Article Processing Charges

Investigating the Blind Spot of a Monitoring System for Article Processing Charges

Investigating the Blind Spot of a Monitoring System for Article Processing Charges

Open Access Monitor Germany: Best Practice in Providing Metrics for Analysis and Decision-Making

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