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eHeritage

eHeritage refers to the practice of using digital technologies to create, enhance, preserve, visualise, or manage cultural heritage items

Resources

  • The Learning Curve in Sharing Data with the EHRI Project

    A partnership between Kazerne Dossin and EHRI was established to enable sharing of metadata with a broader audience. This partnership resulted in changes to the practices of cataloguing archival materials within Kazerne Dossin. Using the example of the Lewkowicz family collection, this article focuses on the revolution Kazerne Dossin went through while standardising descriptions, and on the tools EHRI provided to optimise the workflow for collection holding institutes.
    Authors
    • Dorien Styven
    • Marius Caragea
    • Veerle Vanden Daelen
    Read more
  • Using Spatial Data in Tableau

    Tableau is a powerful digital tool for analysing data that can help with mapping and interrogating data. In this short guide we will focus on an aspect of data analysis using mapping that has particular application for Holocaust and refugee studies.
  • Entity Matching

    EHRI (European Holocaust Research Infrastructure) supports the use of digital tools that can assist in the research of Holocaust and refugee related topics. In a continued effort to make these tools as accessible as possible so that researchers who have no experience with digital tools will consider trying new ways of using their data, this GitHub-based lesson showcases the use of entity match tools when dealing with geographic data.
  • What Can I Do With This Messy Spreadsheet? Converting from Excel Sheets to Fully Compliant EAD-XML files

    Many Galleries, Libraries, Archives, and Museums (GLAMs) face difficulties sharing their collections metadata in standardised and sustainable ways, meaning that staff rely on more familiar general purpose office programs such as spreadsheets. However, while these tools offer a simple approach to data registration and digitisation they don’t allow for more advanced uses. This blogpost from EHRI explains a procedure for producing EAD (Encoded Archival Description) files from an Excel spreadsheet using OpenRefine.
  • Using Named Entity Recognition to Enhance Access to a Museum Catalog

    This blog discusses the applicability of services such as automatic metadata generation and semantic annotation for automatic extraction of person names and locations from large datasets. This is demonstrated using Oral History Transcripts provided by the United States Holocaust Memorial Museum (USHMM).
  • Spatial Queries and the First Deportations from Slovakia

    In the late 1930s, just before war broke in Europe, a series of chaotic deporations took place expelling thousands of Jews from what is now Slovakia. As part of his research, Michel Frankl investigates the backgrounds of the deported people, and the trajectory of the journey they were taken on. This practical blog describes the tools and processes of analysis, and shows how a spatially enabled database can be made useful for answering similar questions in the humanities, and Holocaust Studies in particular.
  • Using OpenCV for Face Detection

    OpenCV is a very popular, free and open source software system used for a large variety of computer vision applications. This article is intended to help you get started in experimenting with OpenCV using an example of face detection in images as a case study.
  • quod: A Tool for Querying and Organising Digitised Historical Documents

    This blog post from EHRI introduces 'quod' (querying OCRed documents), a prototype Python-based command line tool for OCRing and querying digitised historical documents, which can be used to organise large collections and improve information about provenance. To demonstrate its use in context, this blog takes the reader through a case study of the International Tracing Service, showing workflows and the steps taken from start to finish.
  • Exploratory Topic Modelling in Python

    Topic modelling is a technique by which documents within a corpus are clustered based on how certain groups of terms are used together within the text. The commonalities between such term groupings tend to form what we would normally call “topics”, providing a way to automatically categorise documents by their structural content, rather than a more metadata-based knowledge system. Using resources held with EHRI's collections, this notebook offers learners an introduction to 'LDA' topic modelling using Python in a step-by-step guide.
  • Knowledge Design

    In this lecture from the Austrian Centre for Digital Humanities and Cultural Heritage (ADCH-CH), Jeffrey Schnapp outlines the main questions which Knowledge Design is concerned with. Schnapp provides an overview of the current situation of boundaries between libraries, museums, archives, and the classroom becoming growing porous. Additionally, he explores the role of knowledge in Digital Humanities, and which methods and tools are ideal for efficient knowledge extraction.
  • Polifonia - Making sense of musical heritage on the web

    Polifonia is a H2020 project that aims at harmonising diverse information sources in the landscape of musical heritage and scholarship. The challenges are many, from data management, to knowledge organisation and dissemination barriers. In this talk, an ontology driven strategy to organise, share, and interact with the wealth of music data on the web, is presented. This include solutions to engage with scholars and lay persons, with an emphasis on data visualisation and storytelling.