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Given the dynamic rate of change in the OA books business models landscape, the OPERAS Open Access Business Models Special Interest Group launched a survey in 2021 to 1) improve our understanding of the scholarly publishing landscape and of the challenges that publishers face in the context of publishing OA monographs; and 2) to identify main trends (including opportunities and challenges) and the knowledge of collaborative funding and infrastructure models in OA publishing in Social Science and the Humanities. This white paper updates and expands an earlier version published in 2021, which presented the preliminary analysis of the findings. Despite a small sample of presses meaning that no strong trends ought to be discussed, several insights were drawn and should be considered important directions for the future. Key findings in the report have been grouped into three main areas: collaboration, funding, and support. The report found that, although not opposed to the idea, a majority of presses do not engage in collaboration, specifically collaborative models for shared infrastructure, mainly due to the lack of knowledge and information, or perceived lack of need. This indicates that, for OA books, we are still at the early stage of the adoption curve for collaborative shared infrastructure. In terms of funding, most publishers perceive themselves to be somewhat sustainable. For institutional publishers, parent organisations are crucial as providers of financial or non-monetary support of OA. In addition, most publishers stress the need to have more resources and rely on more than one funding source, including grants and subsidies. The report found that awareness-raising and targeted support and training could be used to engage the presses but further incentivisation may be required to encourage publishers to collaborate more widely. We believe that the insights from this white paper may be interesting to a number of projects, such as DIAMAS, OPERAS-PLUS, and Palomera and have presented areas for further research and more specific actionable points for these projects.

{"references": ["Armeni, K. et al. (2021). Towards wide-scale adoption of open science practices: The role of open science communities. Science and Public Policy 48(5), 605\u2013611. https://doi.org/10.1093/scipol/scab039", "Bodlos, A. et al. (2020). Summary report of the EOSC-Pillar \"National Initiatives Survey\". Version 1.1, Zenodo. https://doi.org/10.5281/zenodo.3937317", "Cedefop (2014). Terminology of European education and training policy: A selection of 130 terms. Publications Office. https://data.europa.eu/doi/10.2801/15877", "Forlenza, D. et al. (2021). EOSC: Landscaping Analysis. Zenodo. https://doi.org/10.5281/zenodo.4683278", "Hager, P. (2021). Concepts and definitions of lifelong learning. In London, M. (ed.). The Oxford Handbook of Lifelong Learning. 2. ed. Oxford: Oxford Academic. https://doi.org/10.1093/oxfordhb/9780197506707.013.2", "Hammargren, P.-O. et al. (2020). D2.1 Open Science Policies and Resource Provisioning in the Nordic and Baltic Countries (first report). Zenodo. https://doi.org/10.5281/zenodo.4083762", "Hammargren, P.-O. et al. (2021). D2.5: Open Science Policies and Resource Provisioning in the Nordic and Baltic Countries (second report). Zenodo. https://doi.org/10.5281/zenodo.5537068", "Hansson, E.-L. et al. (2022). D2.8: Open Science Policies and Resource Provisioning in the Nordic and Baltic Countries (final report). Zenodo. https://doi.org/10.5281/zenodo.6503709", "Kolb, A. Y. & Kolb, D. A. (2017). Learning styles and learning spaces: Enhancing experiential learning in higher education. Academy of Management Learning & Education, 4(2), 193\u2013212. http://dx.doi.org/10.5465/AMLE.2005.17268566", "Kosanovi\u0107, B. & \u0160evku\u0161i\u0107, M. (2019). NI4OS-Europe Stakeholder Map, Inventory, Policy Matrix. Zenodo. https://doi.org/10.5281/zenodo.3736129", "Kosanovi\u0107, B. & \u0160evku\u0161i\u0107, M. (2022). NI4OS-Europe Stakeholder Map, Inventory, Policy Matrix Update. Zenodo. https://doi.org/10.5281/zenodo.6118786", "LDK SA (2020). EOSC within National Strategies for Digital Skills: Landscape Report. Zenodo. https://doi.org/10.5281/zenodo.4461379", "Manola, N. et al. (editors); European Commission, Directorate-General for Research and Innovation (2021). Digital Skills for FAIR and Open Science: Report from the EOSC Executive Board Skills and Training Working Group. Publications Office. https://data.europa.eu/doi/10.2777/59065", "Petticrew, M. & Roberts, H. (2005). Systematic Reviews in the Social Sciences: A Practical Guide. London: Blackwell.", "Pontika, N. et al. (2015). Fostering open science to research using a taxonomy and an elearning portal. In: iKnow: 15th International Conference on Knowledge Technologies and Data Driven Business, 21-22 Oct 2015, Graz, Austria. https://doi.org/10.1145/2809563.2809571", "Volles, Nina (2016). Lifelong Learning in the EU: Changing Conceptualisations, Actors, and Policies. Studies in Higher Education 41(2), 343-363. https://doi.org/10.1080/03075079.2014.927852"]} This record presents the data underlying Skills4EOSC Deliverable D6.1 Mapping of existing professional networks and relevant documentation of the search string.

{"references": ["Armeni, K. et al. (2021). Towards wide-scale adoption of open science practices: The role of open science communities. Science and Public Policy 48(5), 605\u2013611. https://doi.org/10.1093/scipol/scab039", "Bodlos, A. et al. (2020). Summary report of the EOSC-Pillar \"National Initiatives Survey\". Version 1.1, Zenodo. https://doi.org/10.5281/zenodo.3937317", "Cedefop (2014). Terminology of European education and training policy: A selection of 130 terms. Publications Office. https://data.europa.eu/doi/10.2801/15877", "Forlenza, D. et al. (2021). EOSC: Landscaping Analysis. Zenodo. https://doi.org/10.5281/zenodo.4683278", "Hager, P. (2021). Concepts and definitions of lifelong learning. In London, M. (ed.). The Oxford Handbook of Lifelong Learning. 2. ed. Oxford: Oxford Academic. https://doi.org/10.1093/oxfordhb/9780197506707.013.2", "Hammargren, P.-O. et al. (2020). D2.1 Open Science Policies and Resource Provisioning in the Nordic and Baltic Countries (first report). Zenodo. https://doi.org/10.5281/zenodo.4083762", "Hammargren, P.-O. et al. (2021). D2.5: Open Science Policies and Resource Provisioning in the Nordic and Baltic Countries (second report). Zenodo. https://doi.org/10.5281/zenodo.5537068", "Hansson, E.-L. et al. (2022). D2.8: Open Science Policies and Resource Provisioning in the Nordic and Baltic Countries (final report). Zenodo. https://doi.org/10.5281/zenodo.6503709", "Kolb, A. Y. & Kolb, D. A. (2017). Learning styles and learning spaces: Enhancing experiential learning in higher education. Academy of Management Learning & Education, 4(2), 193\u2013212. http://dx.doi.org/10.5465/AMLE.2005.17268566", "Kosanovi\u0107, B. & \u0160evku\u0161i\u0107, M. (2019). NI4OS-Europe Stakeholder Map, Inventory, Policy Matrix. Zenodo. https://doi.org/10.5281/zenodo.3736129", "Kosanovi\u0107, B. & \u0160evku\u0161i\u0107, M. (2022). NI4OS-Europe Stakeholder Map, Inventory, Policy Matrix Update. Zenodo. https://doi.org/10.5281/zenodo.6118786", "LDK SA (2020). EOSC within National Strategies for Digital Skills: Landscape Report. Zenodo. https://doi.org/10.5281/zenodo.4461379", "Manola, N. et al. (editors); European Commission, Directorate-General for Research and Innovation (2021). Digital Skills for FAIR and Open Science: Report from the EOSC Executive Board Skills and Training Working Group. Publications Office. https://data.europa.eu/doi/10.2777/59065", "Petticrew, M. & Roberts, H. (2005). Systematic Reviews in the Social Sciences: A Practical Guide. London: Blackwell.", "Pontika, N. et al. (2015). Fostering open science to research using a taxonomy and an elearning portal. In: iKnow: 15th International Conference on Knowledge Technologies and Data Driven Business, 21-22 Oct 2015, Graz, Austria. https://doi.org/10.1145/2809563.2809571", "Volles, Nina (2016). Lifelong Learning in the EU: Changing Conceptualisations, Actors, and Policies. Studies in Higher Education 41(2), 343-363. https://doi.org/10.1080/03075079.2014.927852"]} Submitted draft not yet approved by the EC This is Skills4EOSC Deliverable D6.1 Mapping of existing professional networks. This deliverable provides an overview of the current landscape of Open Science related professional networks in Europe.

The Social Sciences and Humanities communities needed a central point to gather and exchange information about their tools, services, and datasets. Although plenty of project websites, service registries, and data repositories existed, they were mostly fragmented. The lack of contextualisation connecting these assets and offering domain-relevant means to discuss and enrich them was evident. Also, there was a need to digitalise this research domain which, in most cases, was not yet digital native. This siloed environment was the challenge SSHOC set out to bridge in January 2019. The solution to solve this problems was found in the SSH Open Marketplace, delivered in 2022. It is a discovery platform supporting researchers in the multi-faceted domain of humanities and social sciences at every step of the research data lifecycle. The SSH Open Marketplace is available on the EOSC Portal and was developed by SSHOC The full list of EOSC in practice stories is available here

PaNOSC deliverable D9.4 - Dissemination and outreach activities aims to showcase the results of the strategy and work plan laid out in the project's WP on Outreach / Communication and Dissemination / Impact, to reach out to the widest number of stakeholders by using a mix of channels and tools, towards the overarching goal of driving a cultural change in the PaN user community, by stimulating the adoption of more FAIR Open Data practices among the PaN scientific community.

International audience

{"references": ["Bekiari, C., Bruseker, G., Doerr, M., Ore, C.-E., Stead, S. & Velios, A. June 2022. Definition of the CIDOC Conceptual Reference Model. Version 7.1.2. CIDOC CRM Special Interest Group. https://cidoc-crm.org/sites/default/files/cidoc_crm_version_7.1.2.pdf.", "Doerr, M. & Theodoridou, M. 2014. CRMdig. An extension of CIDOC-CRM to support provenance metadata. Version 3.2. http://www.cidoc-crm.org/crmdig/sites/default/files/CRMdig3.2.pdf.", "Doerr, M. et al. 2019. Definition of the CRMarchaeo. An extension of CIDOC-CRM to support the archaeological excavation process. Version 1.4.8. PIN, University of Florence, Italy. http://www.cidoc-crm.org/crmarchaeo/sites/default/files/CRMarchaeo_v1.4.8.pdf.", "Doerr, M. et al. 2020. Definition of the CRMsci. An Extension of CIDOC-CRM to support scientific observation. Version 1.2.8. http://www.cidoc-crm.org/crmsci/sites/default/files/CRMsci%20v.1.2.8.pdf.", "Felicetti, A., Meghini, C., Richards, J., Theodoridou, M. 2021. Towards the AO-Cat Ontology. Version: 1.1.", "Hiebel, G., Doerr, M., Eide, \u00d8. Theodoridou, M. et al. 2015 (September). CRMgeo: a Spatiotemporal Model An Extension of CIDOC-CRM to link the CIDOC CRM to GeoSPARQL through a Spatiotemporal Refinement. Proposal for approval by CIDOC CRM-SIG Version 1.2. https://cidoc-crm.org/crmgeo/sites/default/files/CRMgeo1_2.pdf.", "Katsianis, M., & Styliaras, G. (eds) 2022. Virtual Workshop on Semantic mapping of archaeological excavation data (1.0), with contributions by Bruseker, G., Derudas, P., Hiebel, G., Hivert, F., Katsianis, M., Kritsotakis, V., Marlet, O., Nenova, D., Nurra, F., Styliaras, G., Ore, C. E., Theodoridou, M.. Zenodo. https://doi.org/10.5281/zenodo.7112918.", "Nenova, D., Bruseker, G., Derudas, P., Hiebel, G., Hivert, F., Katsianis, M., Marlet, O., Opitz, R., Ore, C.-E., & Uleberg, E., 2022 (September 27). Bringing Excavation Data Together. Are We There Yet and Where is That?. 28th EAA Annual Meeting (EAA 2022), Budapest, Hungary. Zenodo. https://doi.org/10.5281/zenodo.7117049.", "Paveprime and collaborators 2018. CRMinf: the Argumentation Model. An extension of CIDOC-CRM to support argumentation. Version 0.10. https://cidoc-crm.org/crminf/sites/default/files/CRMinf%20ver%2010.1.pdf.", "Ronzino, P., Niccolucci, F., Felicetti, A., Doerr, M. et al. 2014 (December). Definition of the CRMba An extension of CIDOC CRM to support buildings archaeology documentation. Proposal for approval by CIDOC CRM-SIG. Version 1.4. PIN S.c.r.l. https://cidoc-crm.org/crmba/sites/default/files/2016-12-3%23CRMba_v1.4.1_UR.pdf."]} The present report outlines and summarises the activity of the Archaeological Excavation Modelling Working Group, a sub-group that was formed within WP 4.4.12. The group has been active since June 2020. The group was formed to investigate the potential of developing an Application Profile for excavation data, explore the current state of excavation data modelling and propose a roadmap for further activities. During the ARIADNEplus project, group participants have convened eight times, organised a virtual workshop on excavation data modelling and prepared two presentations, one at an ARIADNEplus meeting and another targeting wider audiences (EAA2022). The entire work of the group is summarised in the present report and attached annexes.

Reproducible research (Reproducible research is when data can be reanalysed taking the same steps and producing the same or similar result) is being implemented at different speeds in different disciplines, and Archaeology, as a discipline that sits at the intersection of the sciences and humanities, is at the start of this journey. Enabling reproducibility of your work by others is an important step in ensuring research quality. There are currently many barriers to moving towards reproducible research such as upskilling researchers in the practices, software and infrastructure needed to do reproducible research and also the need to address how we can, as a discipline, deal with issues like sensitive data. In this article, we seek to introduce reproducible research in an understandable manner so that archaeological researchers can learn where and how to start with this approach. We describe what reproducible archaeological research can look like and suggest three different computational skill levels of constructing reproducible research workflows (a research workflow is the different parts of a research lifecycle such as data collection, data analysis, data archiving, etc, and making all stages reproducible by using a history tracking system (version control) and transparent documation). Finally, in an extensive appendix, we address common questions about reproducible research to remove the stigma about these issues and suggest ways to overcome them.

OpenAIRE Research Graph as an aggregator of CRIS systems is held during the "DARIAH Bibliographical Data WG’s Open Online Workshop" with the topic: Databases and information systems for research output: digital humanities outlook on September, 30th 2022. This invited talk presents the OpenAIRE Research Graph as an aggregator of Current Research Information Systems (CRIS) in a nutshell.