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Data management

Data Management is a set of practices and techniques used by researchers to ensure that their data is organised, structured and easily reusable for future research

Resources

  • Data and Databases: An Introduction

    EN
    In this resource students will learn what a database is and how it is used in humanities research, go through examples of Humanities Databases in use by researchers today, learn when a researcher would need to use a database and how to distinguish between different database technologies.
  • Langzeitarchivierung

    DE
    Dieser Kurs gibt einen Einblick in die langfristige Bewahrung digitaler Daten, d.h. die Archivierung digitaler Daten. Es werden praktische Tipps aus der Perspektive der Datenersteller gegeben.
  • FAIR Multidimensional Data

    EN
    This resource offers a starting point to learn more about the different types of multidimensional media, as well as managing media in a way which promotes the FAIR principles. The resource also introduces the concept of a Virtual Research Environment to support retrieval and curation of multidimensional data for storytelling via interoperable frameworks.
  • Einführung in Metadaten und Dokumentation

    DE
    Anschließend an die "Grundlagen des Datenmanagements" und der praktischen Übung zu Datenmanagement bietet dieser Kurs eine Einführung in das Thema Metadaten. Was sind Metadaten? Aus welchen Komponenten bestehen sie? Und welche Typen von Metadaten können wir unterscheiden?
  • Grundlagen des Datenmanagements

    DE
    Dieses Kapitel erläutert einige grundlegende Regeln für ein aktives und gutes Datenmanagement und beschreibt, wie Dateien und Ordner sinnvoll und eindeutig benannt und strukturiert werden können, wie man mit Versionierung arbeitet und welche Dateiformate für die Nachnutzbarkeit und Langzeitarchivierung geeignet sind.
  • DYLEN: Diachronic Dynamics of Lexical Networks

    EN
    This post is a quick reference guide to the DYLEN tool, an interactive visualisation tool that the Diachronic Dynamics of Lexical Networks project team created to provide insights into the dynamic lexical changes of Austrian German during the 21st century. It helps lexicographers and linguists to analyse the development of Austrian German lexemes over the course of time. It is an open source tool that can be used free of charge.
  • Digitisation with 360 Degrees Photography

    EN
    This resource is an introduction to 360 degrees panorama photography. It explores different types of panoramic representations and examples of 360 degree panoramas in the cultural heritage domain. Practical advice and step by step guidance on how to capture data and process them is also included in order to produce and publish 360 degrees panorama images.
    Authors
    • Karina Rodriguez Echavarria
    • Nicola Schiavottiello
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  • Creating GUIs in Python for Digital Humanities Projects

    EN
    In this lesson, you will use Qt Designer and Python to design and implement a simple graphical user interface and application to merge PDF files. This lesson also demonstrates how to package the application for distribution to other personal computers.
  • Data and Databases: Entities and Relationships

    EN
    An entity is an object with its own characteristics, defined according to the specificities of a given field. This resource covers associations between entities, attributes of entities, identifiers of entities and cardinalities of entities.
  • Data Ethics in Cultural Heritage

    EN
    This resource aims to introduce the main aspects of data ethics in the cultural heritage domain. It also examines how data management can be supported to become more ethical, while also addressing topical discourse about data ethics in the sector. The resource also aims to support in critically reflecting on some case studies with evident digital data ethics considerations.
  • Introduction to Collections as Data

    EN
    The goal of this course is to introduce the Collections as Data principles in the cultural heritage sector to make available a digital collection suitable for computational use. Students will have a fundamental understanding of the complexities of Collections as Data as well as an appreciation of the diversity of the content provided by cultural heritage institutions. This course will be useful for small and medium-sized institutions willing to make available their digital collections suitable for computational use.
  • Scalable Reading of Structured Data

    EN
    In this lesson, you will be introduced to ‘scalable reading’ and how to apply this workflow to your analysis of structured data.
    Authors
    • Max Odsbjerg Pedersen
    • Josephine Møller Jensen
    • Victor Harbo Johnston
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