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The SSH Open Marketplace is a discovery portal for digital tools, services, and methods in the Social Sciences and Humanities (SSH), with an emphasis placed on placing these resources in their research context. It is the SSH component of the EOSC Marketplace. Previous initiatives have shown that curation of content is the key element to maintain the attractiveness and the utility of a discovery portal like the SSH Open Marketplace.1 Thus at each stage of the development of the Marketplace, from the first ingestion of existing catalogues to the curation sprint, curation has been at the heart of conception. This emphasis, based on previous examples and the work done throughout the SSHOC project, has led to profound changes in the data model, definition of quality criteria, standardization of the content as the team adapts the machinery of the Marketplace based on lessons learned. This continuous work has laid the foundation of the development of Editorial Guidelines which will be used by future curation actors as well as the definition of their different curation roles and the organisation of their relationship.

Good data curation and data management is a precondition for any replication of research.Research data and research tools are often intricately coupled. But increasingly, digitalmethodology in the humanities depends on the combination and re-use of data sourcesoutside of their primary area of collection and curation. As those data sources need to beaccessible (on-line) in a distributed manner, a holistic approach to curate them becomesmore and more important.In this paper, we discuss how a data repository platform (Dataverse) which by default comeswith a generic set of metadata can be adapted for the needs of a specific researchcommunity (CLARIN).&nbsp

The open science movement is gaining strength and momentum worldwide, signalling a fundamental shift in how scientific research is made accessible and reusable. In order to fulfill the promises of open science, reliable and sustainable research data infrastructures must be developed.While the FAIR data principles provide a promising conceptual basis for developing such data infrastructures, they do not provide technological guidance on how to do so.Computer science is uniquely situated to fill this gap by researching and developing tools and technical specifications which can help to realize the creation of FAIR data infrastructures. Tothis end, this Dagstuhl Perspectives Workshop brought together computer scientists and digital infrastructure experts from across disciplinary domains to discuss key challenges and technical solutions to implementing and promoting the establishment of FAIR-compliant infrastructures for research data. This manifesto reports the findings from the workshop and provides recommendations along two lines: (1) how computer science can contribute to implementing FAIR data infrastructures and (2) how to make computer science research itself more FAIR.

Although the possibility of referring or citing on-line data from publications is seen at least theoretically as an important means to provide immediate testable proof or simple illustration of a line of reasoning, the practice has not been wide-spread yet and no extensive experience has been gained about the possibilities and problems of referring to raw data-sets. This paper makes a case to investigate the possibility and need of persistent data visualization services that facilitate the inspection and evaluation of the cited data.

In this paper we present the Virtual Language Observatory (VLO), a metadata-based portal for language resources. It is completely based on the Component Metadata (CMDI) and ISOcat standards. This approach allows for the use of heterogeneous metadata schemas while maintaining the semantic compatibility. We describe the metadata harvesting process, based on OAI-PMH, and the conversion from several formats (OLAC, IMDI and the CLARIN LRT inventory) to their CMDI counterpart profiles. Then we focus on some post-processing steps to polish the harvested records. Next, the ingestion of the CMDI files into the VLO facet browser is described. We also include an overview of the changes since the first version of the VLO, based on user feedback from the CLARIN community. Finally there is an overview of additional ideas and improvements for future versions of the VLO.

This paper describes the status of the standardization efforts of a Component Metadata approach for describing Language Resources with metadata. Different linguistic and Language & Technology communities as CLARIN, META-SHARE and NaLiDa use this component approach and see its standardization of as a matter for cooperation that has the possibility to create a large interoperable domain of joint metadata. Starting with an overview of the component metadata approach together with the related semantic interoperability tools and services as the ISOcat data category registry and the relation registry we explain the standardization plan and efforts for component metadata within ISO TC37/SC4. Finally, we present information about uptake and plans of the use of component metadata within the three mentioned linguistic and L&T communities.

Language resource centers allow researchers to reliably deposit their structured data together with associated meta data and run services operating on this deposited data. We are looking into possibilities to create long-term persistency of both the deposited data and the services operating on this data. Challenges, both technical and non-technical, that need to be solved are the need to replicate more than just the data, proper identification of the digital objects in a distributed environment by making use of persistent identifiers and the set-up of a proper authentication and authorization domain including the management of the authorization information on the digital objects. We acknowledge the investment that most language resource centers have made in their current infrastructure. Therefore one of the most important requirements is the loose coupling with existing infrastructures without the need to make many changes. This shift from a single language resource center into a federated environment of many language resource centers is discussed in the context of a real world center: The Language Archive supported by the Max Planck Institute for Psycholinguistics.

In the CLARIN infrastructure various national projects have started initiatives to allow users of the infrastructure to create chains or workflows of web services. The Component Metadata (CMD) core model for web services described in this paper tries to align the metadata descriptions of these various initiatives. This should allow chaining/workflow engines to find matching and invoke services. The paper describes the landscape of web services architectures and the state of the national initiatives. Based on this a CMD core model for CLARIN is proposed, which, within some limits, can be adapted to the specific needs of an initiative by the standard facilities of CMD. The paper closes with the current state and usage of the model and a look into the future.

Introduction Increasingly often research in the humanities is based on data. This change in attitude and research practice is driven to a large extent by the availability of small and cheap yet high-quality recording equipment (video cameras, audio recorders) as well as advances in information technology (faster networks, larger data storage, larger computation power, suitable software). In some institutes such as the Max Planck Institute for Psycholinguistics, already in the 90s a clear trend towards an all-digital domain could be identified, making use of state-of-the-art technology for research purposes. This change of habits was one of the reasons for the Volkswagen Foundation to establish the DoBeS program in 2000 with a clear focus on language documentation based on recordings as primary material.

The emerging area of Geographic Information Systems (GIS) has proven to add an interesting dimension to many research projects. Within the language-sites initiative we have brought together a broad range of links to digital language corpora and resources. Via Google Earth's visually appealing 3D-interface users can spin the globe, zoom into an area they are interested in and access directly the relevant language resources. This paper focuses on several ways of relating the map and the online data (lexica, annotations, multimedia recordings, etc.). Furthermore, we discuss some of the implementation choices that have been made, including future challenges. In addition, we show how scholars (both linguists and anthropologists) are using GIS tools to fulfill their specific research needs by making use of practical examples. This illustrates how both scientists and the general public can benefit from geography-based access to digital language data

Over the past ten years Geographic Information Systems (GIS) have evolved from a highly specialised niche technology to one that is used daily by a wide range of people. This article describes geographic browsing of language archives, which provides intuitive exploration of resources and permits integration and correlation of information from different archives, even across different research disciplines. In order to facilitate both exploration and management of resources, digital language archives are organised according to criteria such as language name, research topic, project information, researchers, countries, or genres. A set of such criteria can form a tree-like classification scheme, such as in the MPI-IMDI archive, which in turn forms the main method of searching and querying the archive resources. Searching for information can be difficult for occasional users because effective use of these search-fields typically requires specialised knowledge. We assume that many non-specialist users of language resources will search by language name, language family, or geographic area, so that geographic navigation would offer a very powerful search method. We also assume that such users are familiar with maps, and that geographic browsing is more intuitive than browsing classification trees, so these users would prefer to start with a large scale map and then zoom in to find the data that interests them. Therefore, classification trees and geographic maps provide complementary methods for accessing language resources to meet the needs of different user groups. We selected Google Earth (GE) as a geographic browsing system and overlaid it with linguistic information. GE was chosen because it is available via the web, it has good navigation controls, it is familiar to many web users, and because the overlaid linguistic information can be formulated in XML, making it comparatively easy to interchange with other geographic systems.