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This work confronts the challenge of research infrastructure evaluation in Social Sciences and Humanities. Globalisation and data use are causing RIs to become more influential in the SSH. The European Union caught these new tendencies in its most recent plans for RIs development, as ESFRI. Brussels policymakers expressed an interest in the development of projects like OPERAS and DARIAH. The following work aims to underline the role of RIs in the SSH field and how it's possible to evaluate these programs. Taking inspiration from the works conducted in STEM infrastructures, we first define what an RI is, and then show the challenges posed by the evaluation of infrastructures in science. Moreover, we present a a viable methodology which could be able to capture the essence of the work conducted in SSH RIs. We end up showing the limits and possible conclusion that this line of research could draw.

The main purpose of the present chapter is to provide practical guidance with regard to selecting a suitable data repository for research data. The chapter might be helpful for researchers, librarians, and research support staff. Choosing a research data repository (RDR) that is appropriate for research data can be challenging and may be influenced by various factors such as the specific character of the data, requirements imposed on the researchers by third parties, e.g. a funding agency or publisher. Therefore, different types of repositories are briefly characterized in recognition of the fact that scientific disciplines or research communities have different requirements for their data management - sometimes due to the characteristics of their data, and to some extent due to the specific academic culture that has evolved. Further, directories of data repositories are presented that may be helpful in finding an appropriate place for research data storage and/or data publication. Next, data policy frameworks of some scientific journal publishers are summarized pointing to a broad spectrum of potential data sharing requirements when submitting to a journal. The final section discusses some important issues and questions to be considered in the repository selection process. This working paper version is a preprint of the book chapter to appear in: Blumesberger S., Novotny G., Eberhard, I. Torggler E., Hafeneder E. (2023): Handbuch Repositorienmanagement. Graz University Library Publishing, Graz

This document presents the creation of a text classifier to predict the disciplinary affiliation of titles (from books or articles) in the humanities and social sciences. It implements ISIDORE and Keras API for Deep Learning.

Project summary The digital age offers challenges and opportunities for completing research on Europe’s multilingual and interconnected literary heritage. Even though many resources are currently available in digital libraries, a lack of standardisation hinders their access and reuse. The EU funded CLS INFRA project will help build the shared and sustainable infrastructure needed to undertake literary studies in the digital age. The project will align these diverse resources with each other, with the tools needed to interrogate them, and with a widened base of users. The resulting improvements will benefit researchers by bridging gaps between greater and lesserresourced communities in computational literary studies and beyond, ultimately offering opportunities to create new research and insight into our shared and varied European cultural heritage. Executive summary This deliverable presents the first version of Data Management Plan for the Horizon 2020 project CLS INFRA. To maximise the potential of the present document as a living and functional project management tool, the team decided to accommodate to this present DMP all sorts of digital scholarly objects that qualify as data or software and that are deemed worthy to be captured and preserved for reuse. Following the Horizon 2020 Data Management Plan template and guidelines, the document first defines the scope and selection criteria for project outputs (1.1.) and provides a structured overview of data and software collected, created, and (re)used for and by the CLS INFRA project. The second, FAIR data chapter describes the provisions made or envisioned to accommodate the FAIR principles and thereby future usage of CLS INFRA data resources. The third chapter provides a similar FAIR assessment of software resources. The fourth chapter describes roles, responsibilities and practical commitments and safeguards that are in place for the successful implementation of the DMP. The fifth chapter covers data security aspects. In the final chapter, we accommodated discussions around ethical aspects such as safeguards for personal data handling and safeguards for adherence to intellectual property rights are discussed. While preparing the DMP, special attention has been given to domain and disciplinary specificities. The CLS INFRA Data Management Plan is a living document and shall be updated continuously throughout the project in line with the new information gathered via conducting the project activities

With these guidelines we explain how to add Tools & Services as DARIAH National Resources into the SSH Open Marketplace. The DARIAH National Coordinators Committee agreed on the recommendations. These guidelines can also be used for other national infrastructure consortia to manage and represent their tools and services for the community in an open and collaborative way. This represents a living document, that is subject to updated versions as practices change and the SSH Open Marketplace evolves.

The purpose of this paper is to raise awareness and stimulate a discussion on the current situation of social sciences and humanities research infrastructures in Switzerland, the Swiss roadmap process, and possible improvements of the way in which projects for research infrastructures are funded. This paper was first written by an informal Social Sciences and Humanities Swiss and European infrastructures coordination group and then presented and discussed at a stakeholders’ conference on May 31, 2022, in Bern. The content of the paper is the result of collaborative work carried out within a larger group, consisting of the directors of national research infrastructures in the SSH, the national coordinators of international SSH RIs with Swiss participation (CESSDA, CLARIN, DARIAH, ESS, SHARE, GGP) and the representatives of the Swiss Academy for the SSH. Read more about the initiative here.