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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.
This contribution summarizes the lessons learned from the organization of a joint conference on text analytics research by the Business, Economic, and Related Data (BERD@NFDI) and Text+ consortia within the National Research Data Infrastructure (NFDI) in Germany. The collaboration aimed to identify common ground and foster interdisciplinary dialogue between scholars in the humanities and in the business domain. The lessons learned include the importance of presenting research questions using textual data to establish common ground, similarities in methodology for processing textual data between the consortia, similarities in research data management, and the need for regular interconsortial discussions on textual analysis methods and data. The collaboration proved valuable for interdisciplinary dialogue within the NFDI, and further collaboration between the consortia is planned.
"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.
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.
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.
This White Paper sets out commonly agreed definitions on activities of consortia within NFDI. It aims to provide a common basis for reporting and reference regarding selected questions of cross-consortial relevance in DFG’s template for the Interim Reports. The questions were prioritised by an NFDI Task Force on Evaluation and Reporting (formerly Task Force Monitoring) as a result of discussing possible answers to the DFG template. In this process the need to agree on a generalizable meaning of terms commonly used in the context of NFDI, and reporting in particular, were identified from cross-consortial perspectives. Questions that showed the highest requirement on clarification are discussed in this White Paper. As NFDI evolves, the Task Force will likely propose further joint approaches for reporting in information infrastructures.
While each of broad relevance, the questions addressed relate to substantially different aspects of consortia’s work. They are thus also structured slightly different.
Als Teil der NFDI vernetzt Text+ ortsverteilt verschiedenste Daten und Dienste für die geisteswissenschaftliche Forschung und stellt sie der wissenschaftlichen Gemeinschaft FAIR zur Verfügung. In diesem Beitrag beschreiben wir die Umsetzung beispielhaft im Bereich der Text+ Datendomäne Sammlungen anhand von Korpora, die in verschiedenen Disziplinen Verwendung finden. Die Infrastruktur ist auf Erweiterbarkeit ausgelegt, so dass auch weitere Ressourcen über Text+ verfügbar gemacht werden können. Enthalten ist auch ein Ausblick auf weitere zu erwartende Entwicklungen. Ein Beitrag zur 9. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum" - DHd 2023 Open Humanities Open Culture.
In der Bund-Länder-Vereinbarung (BLV) zu Aufbau und Förderung einer Nationalen Forschungsdateninfrastruktur (NFDI) (im Folgenden BLV-NFDI) wird in §1 festgehalten, dass mit der Förderung "eine Etablierung und Fortentwicklung eines übergreifenden Forschungsdatenmanagements" und damit eine "Steigerung der Effizienz des gesamten Wissenschaftssystems verfolgt" wird. In der BLV-NFDI werden dazu sieben Ziele vorgegeben, die eine Verfeinerung dieser Hauptziele darstellen. Dieses White Paper formuliert das gemeinsame Verständnis der beteiligten Konsortien für die sieben in der BLV-NFDI vorgegebenen Ziele. Auf der Grundlage dieses Verständnisses hat die Task Force Evaluation und Reporting Vorschläge gemacht, wie das Erreichen der Ziele erfasst, beschrieben und gemessen werden kann.
In dem auf die Forschungsdaten sprach- und textbasierter Disziplinen ausgerichteten NFDI-Konsortium Text+ spielen Normdaten eine zentrale Rolle für die interoperable Beschreibung und semantische Verknüpfung von verteilten Datenquellen. Insbesondere die Gemeinsame Normdatei (GND) ist ein bedeutender Hub im Zentrum eines im Entstehen begriffenen, domänenübergreifenden Wissensgraphen. Diese Funktion soll im Rahmen von Text+ durch den Aufbau einer GND-Agentur für sprach- und textbasierte Forschungsdaten weiterentwickelt und ausgebaut werden. Ziel ist es, niedrigschwellige, qualitätsgesicherte Beteiligungsmöglichkeiten für Forschende zu schaffen und zugleich den Vernetzungsgrad der GND auch durch Terminologie-Mappings zu erweitern. Spezifische Anforderungen und Nutzungspraktiken werden hierbei anhand der Datendomänen von Text+ exemplifziert.
The ISOcat registry reloaded
(2012)
The linguistics community is building a metadata-based infrastructure for the description of its research data and tools. At its core is the ISOcat registry, a collaborative platform to hold a (to be standardized) set of data categories (i.e., field descriptors). Descriptors have definitions in natural language and little explicit interrelations. With the registry growing to many hundred entries, authored by many, it is becoming increasingly apparent that the rather informal definitions and their glossary-like design make it hard for users to grasp, exploit and manage the registry’s content. In this paper, we take a large subset of the ISOcat term set and reconstruct from it a tree structure following the footsteps of schema.org. Our ontological re-engineering yields a representation that gives users a hierarchical view of linguistic, metadata-related terminology. The new representation adds to the precision of all definitions by making explicit information which is only implicitly given in the ISOcat registry. It also helps uncovering and addressing potential inconsistencies in term definitions as well as gaps and redundancies in the overall ISOcat term set. The new representation can serve as a complement to the existing ISOcat model, providing additional support for authors and users in browsing, (re-)using, maintaining, and further extending the community’s terminological metadata repertoire.
The transfer of research data management from one institution to another infrastructural partner is all but trivial, but can be required, for instance, when an institution faces reorganization or closure. In a case study, we describe the migration of all research data, identify the challenges we encountered, and discuss how we addressed them. It shows that the moving of research data management to another institution is a feasible, but potentially costly enterprise. Being able to demonstrate the feasibility of research data migration supports the stance of data archives that users can expect high levels of trust and reliability when it comes to data safety and sustainability.
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.
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.
Für die sprachbasierte Forschung in den Geistes- und Sozialwissenschaften stellt CLARIN eine Forschungsinfrastruktur bereit, die auf die hochgradig heterogenen Forschungsdaten in diesen Wissenschaftsbereichen angepasst ist. Mit Werkzeugen zum Auffinden, zur standardkonformen Aufbereitung und zur nachhaltigen Aufbewahrung von Daten sowie mit der Bereitstellung von virtuellen Forschungsumgebungen zur kollaborativen Erstellung und Auswertung von Forschungsdaten unterstützt CLARIN alle wesentlichen Aspekte des Datenmanagements und der Datenarchivierung. Diese CLARIN-Angebote werden durch Beratungs- und Schulungsmaßnahmen begleitet.
Linguistics is facing the challenge of many other sciences as it continues to grow into increasingly complex subfields, each with its own separate or overarching branches. While linguists are certainly aware of the overall structure of the research field, they cannot follow all developments other than those of their subfields. It is thus important to help specialists but also newcomers alike to bushwhack through evolved or unknown territory of linguistic data. A considerable amount of research data in linguistics is described with metadata. While studies described and published in archived journals and conference proceedings receive a quite homogeneous set of metadata tags — e.g., author, title, publisher —, this does not hold for the empirical data and analyses that underlie such studies. Moreover, lexicons, grammars, experimental data, and other types of resources come in different forms; and to make things worse, their description in terms of metadata is also not uniform, if existing at all. These problems are well-known and there are now a number of international initiatives — e.g., CLARIN, FlareNet, MetaNet, DARIAH — to build infrastructures for managing linguistic resources. The NaLiDa project, funded by the German Research Foundation, aims at facilitating the management and access to linguistic resources originating from German research institutions. In cooperation with the German SFB 833 research center, we are developing a combination of faceted and full-text search to give integrated access through heterogeneous metadata sets. Our approach is supported by a central registry for metadata field descriptors, and a component repository for structured groups of data categories as larger building blocks.
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.
Wenn man verschiedenartige Forschungsdaten über Metadaten inhaltlich beschreiben möchte, sind bibliografische Angaben allein nicht ausreichend. Vielmehr benötigt man zusätzliche Beschreibungsmittel, die der Natur und Komplexität gegebener Forschungsressourcen Rechnung tragen. Verschiedene Arten von Forschungsdaten bedürfen verschiedener Metadatenprofile, die über gemeinsame Komponenten definiert werden. Solche Forschungsdaten können gesammelt (z.B. über OAI-PMH-Harvesting) und mittels Facetten-basierter Suche über eine einheitliche Schnittstelle exploriert werden. Der beschriebene Anwendungskontext kann über sprachwissenschaftliche Daten hinaus verallgemeinert werden.
The Component Metadata Infrastructure (CMDI) in a project on sustainable linguistic resources
(2012)
The sustainable archiving of research data for predefined time spans has become increasingly important to researchers and is stipulated by funding organizations with the obligatory task of being observed by researchers. An important aspect in view of such a sustainable archiving of language resources is the creation of metadata, which can be used for describing, finding and citing resources. In the present paper, these aspects are dealt with from the perspectives of two projects: the German project for Sustainability of Linguistic Data at the University of Tubingen (NaLiDa, cf. http://www.sfs.uni-tuebingen.de/nalida) and the Dutch-Flemish HLT Agency hosted at the Institute for Dutch Lexicology (TST-Centrale, cf.http://www.inl.nl/tst-centrale). Both projects unfold their approaches to the creation of components and profiles using the Component Metadata Infrastructure (CMDI) as underlying metadata schema for resource descriptions, highlighting their experiences as well as advantages and disadvantages in using CMDI.
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.
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.
The transfer of research data management from one institution to another infrastructural partner is all but trivial, but can be required,for instance, when an institution faces reorganisation or closure. In a case study, we describe the migration of all research data, identify the challenges we encountered, and discuss how we addressed them. It shows that the moving of research data management to another institution is a feasible, but potentially costly enterprise. Being able to demonstrate the feasibility of research data migration supports the stance of data archives that users can expect high levels of trust and reliability when it comes to data safety and sustainability.
Signposts for CLARIN
(2021)
An implementation of CMDI-based signposts and its use is presented in this paper. Arnold, Fisseni et al. (2020) present signposts as a solution to challenges in long-term preservation of corpora. Though applicable to digital resources in general, we focus on corpora, especially those that are continuously extended or subject to modification, e.g., due to legal injunctions, but also may overlap with respect to constituents, and may be subject to migrations to new data formats. We describe the contribution signposts can make to the CLARIN infrastructure, notably virtual collections, and document the design for the CMDI profile.
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 CMDI Explorer
(2020)
We present the 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. The CMDI Explorer hence adds functionality that many users felt was lacking from the CLARIN tool space.
Signposts for CLARIN
(2020)
An implementation of CMDI-based signposts and its use is presented in this paper. Arnold et al. 2020 present Signposts as a solution to challenges in long-term preservation of corpora, especially corpora that are continuously extended and subject to modification, e.g., due to legal injunctions, but also may overlap with respect to constituents, and may be subject to migrations to new data formats. We describe the contribution Signposts can make to the CLARIN infrastructure and document the design for the CMDI profile.
This paper discusses work on the sustainability of linguistic resources as it was conducted in various projects, including the work of a three year project Sustainability of Linguistic Resources which finished in December 2008, a follow-up project, Sustainable linguistic data, and initiatives related to the work of the International Organization of Standardization (ISO) on developing standards for linguistic resources. The individual projects have been conducted at German collaborative research centres at the Universities of Potsdam, Hamburg and Tübingen, where the sustainability work was coordinated.