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Creating and maintaining metadata for various kinds of resources requires appropriate tools to assist the user. The paper presents the metadata editor ProFormA for the creation and editing of CMDI (Component Metadata Infrastructure) metadata in web forms. This editor supports a number of CMDI profiles currently being provided for different types of resources. Since the editor is based on XForms and server-side processing, users can create and modify CMDI files in their standard browser without the need for further processing. Large parts of ProFormA are implemented as web services in order to reuse them in other contexts and programs.
XML has been designed for creating structured documents, but the information that is encoded in these structures are, by definition, out of scope for XML. Additional sources, normally not easily interpretable by computers, such as documentation are needed to determine the intention of specific tags in a tag-set. The Component Metadata Infrastructure (CMDI) takes a rather pragmatic approach to foster interoperability between XML instances in the domain of metadata descriptions for language resources. This paper gives an overview of this approach.
This paper presents the system architecture as well as the underlying workflow of the Extensible Repository System of Digital Objects (ERDO) which has been developed for the sustainable archiving of language resources within the Tübingen CLARIN-D project. In contrast to other approaches focusing on archiving experts, the described workflow can be used by researchers without required knowledge in the field of long-term storage for transferring data from their local file systems into a persistent repository.
This poster summarizes the results of the CLARIAH-DE Work Package 5 - Community Engagement: Outreach/Dissemination and Liaison.
Work package 5 engages with the community through dissemination activities, outreach and liaison. The work package set itself the following sub goals:
- Combining the existing dissemination and outreach activities of CLARIN-D and DARIAH-DE in a meaningful way and elaborating on them. In some cases this meant continuity, in other cases a new appearance for resources.
- Providing a web portal as a gateway to the CLARIAH-DE project.
- Creating a common identity and corporate identity and maintaining the established level of trust users already put into CLARIN-D and DARIAH-DE.
- Providing a social media presence as well as a physical presence at workshops, conferences and other meetings in the Digital Humanities.
Data Management is one of the core activities of all CLARIN centres providing data and services for the academia. In PARTHENOS, European initiatives and projects in the area of the humanities and social sciences assembled to compare policies and procedures. One of the areas of interest is data management. The data management landscape shows a lot of proliferation, for which an abstraction level is introduced to help centres, such as CLARIN centres, in the process of providing the best possible services to users with data management needs.
CMDI Explorer
(2021)
We present CMDI Explorer, a tool that empowers users to easily explore the contents of complex CMDI records and to process selected parts of them with little effort. The tool allows users, for instance, to analyse virtual collections represented by CMDI records, and to send collection items to other CLARIN services such as the Switchboard for subsequent processing. CMDI Explorer hence adds functionality that many users felt was lacking from the CLARIN tool space.
The paper’s purpose is to give an overview of the work on the Component Metadata Infrastructure (CMDI) that was implemented in the CLARIN research infrastructure. It explains, the underlying schema, the accompanying tools and services. It also describes the status and impact of the CMDI developments done within the CLARIN project and past and future collaborations with other projects.
Collaborative work in NFDI
(2023)
The non-profit association National Research Data Infrastructure (NFDI) promotes science and research through a National Research Data Infrastructure. Its aim is to develop and establish an overarching research data management (RDM) for Germany and to increase the efficiency of the entire German science system. After a two-and-a-half year build up phase, the process of adding new consortia, each representing a different data domain, has ended in March 2023. NFDI now has 26 disciplinary consortia (and one additional basic service collaboration). Now the full extent of cross-consortial interaction is beginning to show.
This paper proposes a methodology for querying linguistic data represented in different corpus formats. Examples of the need for queries over such heterogeneous resources are the corpus-based analysis of multimodal phenomena like the interaction of gestures and prosodic features, or syntax-related phenomena like information structure which exceed the expressive power of a tree-centered corpus format. Query languages (QLs) currently under development are strongly connected to corpus formats, like the NITE Object Model (NOM, Carletta et al., 2003) or the Meta-Annotation Infrastructure for ATLAS (MAIA, Laprun and Fiscus, 2002). The parallel development of linguistic query languages and corpus formats is due to the fact that general purpose query languages like XQuery (Boag et al., 2003) do not fulfill the changing needs of linguistically motivated queries, e.g. to give access to (non-)hierarchically organized, theory and language dependent annotations of multi modal signals and/or text. This leads to the problem that existing corpus formats and query languages are hard to reuse. They have to be re developed and re-implemented time-consumingly and expensively for unforeseen tasks. This paper describes an approach for overcoming these problems and a sample application.
The Component MetaData Infrastructure (CMDI) is a framework for the creation and usage of metadata formats to describe all kinds of resources in the CLARIN world. To better connect to the library world, and to allow librarians to enter metadata for linguistic resources into their catalogues, a crosswalk from CMDI-based formats to bibliographic standards is required. The general and rather fluid nature of CMDI, however, makes it hard to map arbitrary CMDI schemas to metadata standards such as Dublin Core (DC) or MARC 21, which have a mature, well-defined and fixed set of field descriptors. In this paper, we address the issue and propose crosswalks between CMDI-based profiles originating from the NaLiDa project and DC and MARC 21, respectively.
"Reproducibility crisis" and "empirical turn" are only two keywords when it comes to providing reasons for research data management. Research data is omnipresent and with the more and more automatic data processing procedures, they become even more important. However, just because new methods require data and produce data, this does not mean that data are easily accessible, reusable or even make a difference in the CV of a researcher, even if a large portion of research goes into data creation, acquisition, preparation, and analysis. In this talk I will present where we find data in the research process, where we may find appropriate support for data management and advocate for a procedure for including it in research publications and resumes.
This presentation relies on work within the BMBF-funded project CLARIN-D. It also builds on work within the German National Research Data Infrastructure (NFDI) consortium Text+, DFG project number 460033370.
Datenmanagement wird durch die Forschungsföderungsorganisationen (etwa in Horizon 2020 der EU, die Allianz der deutschen Wissenschaftsorganisationen oder in DFG geförderten Projekten) mehr und mehr Teil der Forschungslandschaft. Für die Computerlinguistik ist das Forschungsdatenmanagement aber auch Teil des Forschungsgebietes: Datenmodellierung und Transformation für die nachhaltige Datenspeicherung gehören in den Bereich der Texttechnologie und Textlinguistik, ebenso die Modellierung der beschreibenden Daten zu Datensätzen.
Poster des Text+ Partners Leibniz-Institut für Deutsche Sprache Mannheim präsentiert beim Workshop "Wohin damit? Storing and reusing my language data" am 22. Juni 2023 in Mannheim. Das Poster wurde im Kontext der Arbeit des Vereins Nationale Forschungsdateninfrastruktur (NFDI) e.V. verfasst. NFDI wird von der Bundesrepublik Deutschland und den 16 Bundesländern finanziert, und das Konsortium Text+ wird gefördert durch die Deutsche Forschungsgemeinschaft (DFG) – Projektnummer 460033370. Die Autor:innen bedanken sich für die Förderung sowie Unterstützung. Ein Dank geht außerdem an alle Einrichtungen und Akteur:innen, die sich für den Verein und dessen Ziele engagieren.
In this chapter, we discuss steps toward extending CMDI’s semantic interoperability beyond the Social Sciences and Humanities: We stress the need for an initial data curation step, in part supported by a relation registry that helps impose some structure on CMDI vocabulary; we describe the use of authority file information and other controlled vocabulary to help connecting CMDI-based metadata to existing Linked Data; we show how significant parts of CMDI-based metadata can be converted to bibliographic metadata standards and hence entered into library catalogs; and finally we describe first steps to convert CMDI-based metadata to RDF. The initial grassroots approach of CMDI (meaning that anybody can define metadata descriptors and components) mirrors the AAA slogan of the Semantic Web (“Anyone can say Anything about Any topic”). Ironically, this makes it hard to fully link CMDI-based metadata to other Semantic Web datasets. This paper discusses the challenges of this enterprise.
This paper uses a devil’s advocate position to highlight the benefits of metadata creation for linguistic resources. It provides an overview of the required metadata infrastructure and shows that this infrastructure is in the meantime developed by various projects and hence can be deployed by those working with linguistic resources and archiving. Possible caveats of metadata creation are mentioned starting with user requirements and backgrounds, contribution to academic merits of researchers and standardisation. These are answered with existing technologies and procedures, referring to the Component Metadata Infrastructure (CMDI). CMDI provides an infrastructure and methods for adapting metadata to the requirements of specific classes of resources, using central registries for data categories, and metadata schemas. These registries allow for the definition of metadata schemas per resource type while reusing groups of data categories also used by other schemas. In summary, rules of best practice for the creation of metadata are given.
To optimize the sharing and reuse of existing data, many funding organizations now require researchers to specify a management plan for research data. In such a plan, researchers are supposed to describe the entire life cycle of the research data they are going to produce, from data creation to formatting, interpretation, documentation, short-term storage, long-term archiving and data re-use. To support researchers with this task, we built DMPTY, a wizard that guides researchers through the essential aspects of managing data, elicits information from them, and finally, generates a document that can be further edited and linked to the original research proposal.
The Component MetaData Infrastructure (CMDI) is the dominant framework for describing language resources according to ISO 24622 (ISO/TC 37/SC 4, 2015). Within the CLARIN world, CMDI has become a huge success. The Virtual Language Observatory (VLO) now holds over 800.000 resources, all described with CMDI-based metadata. With the metadata being harvested from about thirty centres, there is a considerable amount of heterogeneity in the data. In part, there is some use of controlled vocabularies to keep data heterogeneity in check, say when describing the type of a resource, or the country the resource is originating from. However, when CMDI data refers to the names of persons or organisations, strings are used in a rather uncontrolled manner. Here, the CMDI community can learn from libraries and archives who maintain standardised lists for all kinds of names. In this paper, we advocate the use of freely available authority files that support the unique identification of persons, organisations, and more. The systematic use of authority records enhances the quality of the metadata, hence improves the faceted browsing experience in the VLO, and also prepares the sharing of CMDI-based metadata with the data in library catalogues.
The landscape of digital lexical resources is often characterized by dedicated local portals and proprietary interfaces as primary access points for scholars and the interested public. In addition, legal and technical restrictions are potential issues that can make it difficult to efficiently query and use these valuable resources. As part of the research data consortium Text+, solutions for the storage and provision of digital language resources are being developed and provided in the context of the unified cross-domain German research data infrastructure NFDI. The specific topic of accessing lexical resources in a diverse and heterogenous landscape with a variety of participating institutions and established technical solutions is met with the development of the federated search and query framework LexFCS. The LexFCS extends the established CLARIN Federated Content Search that already allows accessing spatially distributed text corpora using a common specification of technical interfaces, data formats, and query languages. This paper describes the current state of development of the LexFCS, gives an insight into its technical details, and provides an outlook on its future development.
In diesem Panel geht es um die Förderung der geisteswissenschaftlichen Forschung durch eine planvolle Erhebung, Archivierung, Veröffentlichung und die dadurch ermöglichte Nachnutzung von Forschungsdaten, die sowohl zur Qualitätssicherung in der Forschung beitragen als auch nicht zuletzt neue Fragestellungen erlauben. Aus unterschiedlichen Perspektiven soll in dem Panel beleuchtet werden, welchen Mehrwert das Datenmanagement für die Forschung in den digitalen Geisteswissenschaften hat, wie man diesen Mehrwert erreicht und auch die Veröffentlichung der Forschungsdaten als ein selbstverständliches Element der Dissemination der Forschungsergebnisse etabliert und wie man gleichzeitig den Aufwand für die Forschung abschätzen kann.