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Discuss Data – an Open Repository for Research and Data Communities

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    • Data-Driven Approaches to Studying the History of Museums on the Web: Challenges and Opportunities for New Discoveries
    • On a solid ground. Building software for a 120-year-old research project applying modern engineering practices
    • Tables are tricky. Testing Text Encoding Initiative (TEI) Guidelines for FAIR upcycling of digitised historical statistics.
    • Training engineering students through a digital humanities project: Techn’hom Time Machine
    • From manual work to artificial intelligence: developments in data literacy using the example of the Repertorium Academicum Germanicum (2001-2024)
    • A handful of pixels of blood
    • Impresso 2: Connecting Historical Digitised Newspapers and Radio. A Challenge at the Crossroads of History, User Interfaces and Natural Language Processing.
    • Learning to Read Digital? Constellations of Correspondence Project and Humanist Perspectives on the Aggregated 19th-century Finnish Letter Metadata
    • Teaching the use of Automated Text Recognition online. Ad fontes goes ATR
    • Geovistory, a LOD Research Infrastructure for Historical Sciences
    • Using GIS to Analyze the Development of Public Urban Green Spaces in Hamburg and Marseille (1945 - 1973)
    • Belpop, a history-computer project to study the population of a town during early industrialization
    • Contributing to a Paradigm Shift in Historical Research by Teaching Digital Methods to Master’s Students
    • Revealing the Structure of Land Ownership through the Automatic Vectorisation of Swiss Cadastral Plans
    • Rockefeller fellows as heralds of globalization: the circulation of elites, knowledge, and practices of modernization (1920–1970s): global history, database connection, and teaching experience
    • Theory and Practice of Historical Data Versioning
    • Towards Computational Historiographical Modeling
    • Efficacy of Chat GPT Correlations vs. Co-occurrence Networks in Deciphering Chinese History
    • Data Literacy and the Role of Libraries
    • 20 godparents and 3 wives – studying migrant glassworkers in post-medieval Estonia
    • From record cards to the dynamics of real estate transactions: Working with automatically extracted information from Basel’s historical land register, 1400-1700
    • When the Data Becomes Meta: Quality Control for Digitized Ancient Heritage Collections
    • On the Historiographic Authority of Machine Learning Systems
    • Films as sources and as means of communication for knowledge gained from historical research
    • Develop Yourself! Development according to the Rockefeller Foundation (1913 – 2013)
    • AI-assisted Search for Digitized Publication Archives
    • Digital Film Collection Literacy – Critical Research Interfaces for the “Encyclopaedia Cinematographica”
    • From Source-Criticism to System-Criticism, Born Digital Objects, Forensic Methods, and Digital Literacy for All
    • Connecting floras and herbaria before 1850 – challenges and lessons learned in digital history of biodiversity
    • A Digital History of Internationalization. Operationalizing Concepts and Exploring Millions of Patent Documents
    • From words to numbers. Methodological perspectives on large scale Named Entity Linking
    • Go Digital, They Said. It Will Be Fun, They Said. Teaching DH Methods for Historical Research
    • Unveiling Historical Depth: Semantic annotation of the Panorama of the Battle of Murten
    • When Literacy Goes Digital: Rethinking the Ethics and Politics of Digitisation
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Discuss Data – an Open Repository for Research and Data Communities

Poster Session
Authors
Affiliations

Torsten Kahlert

Herzog-August-Bibliothek Wolfenbüttel

Daniel Kurzawe

SUB Göttingen

Published

September 12, 2024

Doi

10.5281/zenodo.13908038

In this poster, we show how the Discuss Data research data platform is being expanded to include a “community space” for the digital humanities (DH). Discuss Data enables and promotes contextualized discussion about the quality and sustainability of research data directly on the object.

Current standards and the digitization of existing processes require structures to enable sustainable development models. This applies in particular to the quality of research data, which is becoming increasingly important in the academic debate.

Discuss Data offers a platform for this. In addition to the information technology management, archiving and provision of data, Discuss Data also contextualizes data through curated discussion. The platform addresses individual communities and offers them a subject-specific discussion space and, in the long term, community-specific tools. Communities are not to be equated with disciplines, but are rather interest groups on specific issues or data materials.

Following the introduction of the first community space for the research community on Eastern Europe, South Caucasus and Central Asia in 2020, 121 datasets were published and 141 users have registered (as of 28.11.23). However, the discussion function provided by Discuss Data has been used comparatively little so far. This discussion culture, which is quite common at conferences and reviews and is extremely important from a technical perspective, has not yet become established, despite the positive attitude towards it.

Digital method and source criticism has become one of the central challenges of the digital humanities. Until now, research data has generally been published on institutional repositories or platforms such as Zenodo, but without the kind of quality control that is customary for journal articles. As a result, datasets often remain unused for further processing because it remains unclear what quality the research data has and what it might be suitable for.

From the experience of the first funding phase of Discuss Data, it has become clear that more energy must be put into attracting data curators in order to ensure that the community spaces are supported by the community in the long term. Positive examples are needed for this. For example, the integration of discussions as micropublications could help to demonstrate the individual added value.

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Citation

BibTeX citation:
@misc{kahlert2024,
  author = {Kahlert, Torsten and Kurzawe, Daniel},
  editor = {Baudry, Jérôme and Burkart, Lucas and Joyeux-Prunel,
    Béatrice and Kurmann, Eliane and Mähr, Moritz and Natale, Enrico and
    Sibille, Christiane and Twente, Moritz},
  title = {Discuss {Data} -\/- an {Open} {Repository} for {Research} and
    {Data} {Communities}},
  date = {2024-09-12},
  url = {https://digihistch24.github.io/submissions/poster/472/},
  doi = {10.5281/zenodo.13908038},
  langid = {en}
}
For attribution, please cite this work as:
Kahlert, Torsten, and Daniel Kurzawe. 2024. “Discuss Data -- an Open Repository for Research and Data Communities.” Edited by Jérôme Baudry, Lucas Burkart, Béatrice Joyeux-Prunel, Eliane Kurmann, Moritz Mähr, Enrico Natale, Christiane Sibille, and Moritz Twente. Digital History Switzerland 2024: Book of Abstracts. https://doi.org/10.5281/zenodo.13908038.
Source Code
---
submission_id: 472
categories: 'Poster Session'
title: Discuss Data -- an Open Repository for Research and Data Communities
author:
  - name: Torsten Kahlert
    orcid: 0009-0003-3264-5006
    email: kahlert@hab.de
    affiliations:
      - Herzog-August-Bibliothek Wolfenbüttel
  - name: Daniel Kurzawe
    orcid: 0000-0001-5027-7313
    email: kurzawe@sub.uni-goettingen.de
    affiliations:
      - SUB Göttingen
date: 09-12-2024
doi: 10.5281/zenodo.13908038
---

In this poster, we show how the Discuss Data research data platform is being expanded to include a "community space" for the digital humanities (DH). Discuss Data enables and promotes contextualized discussion about the quality and sustainability of research data directly on the object.

Current standards and the digitization of existing processes require structures to enable sustainable development models. This applies in particular to the quality of research data, which is becoming increasingly important in the academic debate.

Discuss Data offers a platform for this. In addition to the information technology management, archiving and provision of data, Discuss Data also contextualizes data through curated discussion. The platform addresses individual communities and offers them a subject-specific discussion space and, in the long term, community-specific tools. Communities are not to be equated with disciplines, but are rather interest groups on specific issues or data materials.

Following the introduction of the first community space for the research community on Eastern Europe, South Caucasus and Central Asia in 2020, 121 datasets were published and 141 users have registered (as of 28.11.23). However, the discussion function provided by Discuss Data has been used comparatively little so far. This discussion culture, which is quite common at conferences and reviews and is extremely important from a technical perspective, has not yet become established, despite the positive attitude towards it.

Digital method and source criticism has become one of the central challenges of the digital humanities. Until now, research data has generally been published on institutional repositories or platforms such as Zenodo, but without the kind of quality control that is customary for journal articles. As a result, datasets often remain unused for further processing because it remains unclear what quality the research data has and what it might be suitable for.

From the experience of the first funding phase of Discuss Data, it has become clear that more energy must be put into attracting data curators in order to ensure that the community spaces are supported by the community in the long term. Positive examples are needed for this. For example, the integration of discussions as micropublications could help to demonstrate the individual added value.
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