Data cleansing
keyword
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Literary Network of the National Awakening Based on the Correspondence of Koidula and Kreutzwald
This workflow was created to analyse the correspondence between Friedrich Reinhold Kreutzwald and Lydia Koidula from the years 1867–1873 and to map which people appear most frequently in the literary network of the National Awakening on the basis of these letters. The correspondence is one of the most important sources in Estonian literary history, reflecting the development of the national movement, cultural contacts, and relationships between authors. The workflow makes it possible to automatically identify personal names in a text corpus, clean and standardise name forms, and...
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Past Lives in Estonian Cultural Data – Developing Interactive Exhibits with 19th Century Parish Court Records and Bibliographical Data
The workflow addresses how 19th-century Estonian parish court records and bibliographical data can be transformed into interactive digital exhibits for the general public. Although these datasets contain rich historical and cultural elements, they are not immediately accessible to non-specialist audiences in their original structured forms. The workflow therefore explores how cultural heritage data can be cleaned, extracted, linked, and redesigned as interactive applications....
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Interactive map of Building Designs in Tartu
This workflow was created during the HUM Hackathon and focuses on building an interactive map application based on the Tartu Building Designs database. The main purpose of this project was to visualise building projects in Tartu between 1870 and 1920. The workflow describes data processing and creating a map application.
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Analysis of Regional and Temporal Patterns in Estonian Instrumental Folk Music
This workflow enables the analysis of the regional and temporal distribution of instruments and instrumental tunes in a dataset of Estonian instrumental folk music. During the workflow, the metadata of the archival dataset are cleaned, instrument and place names are standardised, and broader analytical instrument categories are created as needed. The frequencies of instruments and folk tunes are then calculated by county and time period. The results are presented as frequency tables, diagrams, and maps, which help make visible patterns that would be difficult to detect by looking at individual records.
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Spatial and Temporal Patterns of the Photograph Collection of the EFA
The aim of this workflow is to study the spatial and temporal patterns of the photograph collection of the Estonian Folklore Archives (EFA) and to make a large and difficult-to-grasp dataset easier to explore through an interactive visualisation tool. The project focuses on the first 10,000 black-and-white photographs from the EFA photograph collection, which contains approximately 88,000 photographs in total, together with their metadata. On the basis of this material, the distribution of photographs is analysed across time, space, keywords, collection projects, persons, and photographers.
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Use cases for working photos of material culture researchers
This project investigates how working photographs collected by material culture researchers can be used to automatically identify objects and assess their condition, and how such a large collection can be published under FAIR principles in a user-friendly way. Researchers of material culture may take thousands of photos of objects within the scope of each research topic, but in most cases, the use of photos is limited to typological identification, visual comparison of finds, and...
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Making (Meta)Data of Musical Works Accessible as a Thematic–Bibliographic Catalogue
Currently, information on Estonian musical works is fragmented across several platforms: general information on works is available on the website of the Estonian Music Information Centre, data on manuscripts in the Museums Public Portal, and bibliographic records of printed scores as well as audio and video recordings in the shared catalogue of ESTERFurthermore, data in these systems is structured according to quite differing principles. For example, the MARC21...