Data management

Resources

• 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.

• Performing Arts: Transitioning to the Digital Age

  EN

  The conference aimed to examine the possibilities of connecting information sciences and computer science with performing arts, focusing on three thematic blocks: archiving, artistic practices and scholarly research. The international scientific and professional conference is part of the project of the same name by the DARIAH-EU Working Group Theatralia, which is dedicated to the research of digital technology in the performing arts and the digitization of theatralia, financed from DARIAH-EU funds.

• Introduction to Knowledge Organization Systems

  EN

  Knowledge Organization Systems provide the foundation for searching and retrieving information objects across digital collections and cultural heritage information systems. Starting from case studies this course provides an introduction to knowledge organization systems and their practical application in research contexts.

• Using Spatial Data in Tableau

  EN

  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

  EN

  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

  EN

  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.

• Windows Subsystem for Linux (WSL)

  EN

  Many tools and examples that are of interest to those wishing to explore, experiment, and develop projects for digital humanities or data analysis and other tasks are based on a Linux operating system. Mac iOS laptops support Linux fairly easily. However, until recently, Windows OS users have had difficulty in accessing programs and techniques that require a Linux operating system. This short tutorial will demonstrate a simple way for most Windows 10 users to run Linux programs and systems through Windows Subsystem for Linux (WSL).

• Extracting CSV Data from the EHRI Search API

  EN

  The EHRI (European Holocaust Research Infrastructure) Search API provides a way to retrieve information about items in the EHRI portal in JSON (JavaScript Object Notation) format by making HTTP requests to particular URLs. This short tutorial shows learners how use a command line tool (CuRL) to fetch structured data and transform it into CSV (comma separated values) format for import into a spreadsheet like Excel or Google Docs.

• Importing tables from websites into spreadsheets

  EN

  Sometimes it can be useful to take information from a website, such as document lists from archives, for future reference. This short resource will show the user how to download an extension to copy tables from websites and then import the table into a spreadsheet program.

• Using OpenCV for Face Detection

  EN

  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.

• Building and Linking Humanities' Digital Spatial Infrastructures

  EN

  This workshop, focussing on "Spatial data medieval to modern", is the first of a series of workshops from the NOS-HS project "Linking, Building, and Sustaining Humanities Digital Spatial Infrastructures for Research in the Nordic Countries". The main aims of this workshop were to define key concepts (spatial infrastructures, Linked Open Data, metadata, ontology), outline major challenges in the field, and to provide an opportunity to share experiences of addressing the issues in individual and national projects across the Nordic countries.

• Exploratory Topic Modelling in Python

  EN

  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.