2019

Jantunen, Jarmo Harri; Brunni, Sisko; Kunnas, Niina; Palviainen, Santeri; Västi, Katja

RDHum 2019, the Research Data and Humanities Conference, takes place August 14–16, 2019 at the University of Oulu, Finland. RDHum 2019 is jointly organised by the University of Oulu and the University of Jyväskylä, in collaboration with FIN-CLARIN and The Language Bank of Finland. The event is the first in the series of conferences taking place biennially in one of the universities within the FIN-CLARIN Consortium. The first RDHum Conference is hosted by the University of Oulu, where the Oulu Corpus, a comprehensive and widely used digital research resource at the time, was collected and compiled in a project led by professor Pauli Saukkonen 50 years ago. Digital resources and technology are used more and more within the humanities and the social sciences. Researchers in digital humanities gather, administer, share and study rapidly accumulating digital resources. They also need various research methods and tools in analysing these resources. The conference Research Data and Humanities gathers researchers around these themes, and the scientific program of the Conference includes numerous topics related to digital data, digital methods and analysis in the Humanities. In this first Conference, the subjects of the presentations, posters and workshops come from several disciplines, such as linguistics, literary studies, computer science and information science. Thus the languages and societal phenomena under study, data and methods vary widely in the conference. The peer reviewed articles published in these proceedings are grouped into three categories according to their main focus: data, methods and tools. New data and corpora are presented in the following papers: Kurki et al. present Digilang, a joint venture to combine six different digital corpora. The corpora represent different kinds of data in various modalities. Ijaz seeks to determine editions analytically from bibliographic metadata. Lahti et al. describe the use of bibliograpghic data science in the study of bibliographic metadata collections. Pääkkönen presents challenges the end-user face with digital presentation systems and discusses the issues relating to metadata. Salonen et al. describe the collection and process of establishing the Corpus of Finlands Sign Language. They a lso discuss the storage, metadata and publication of the corpus. Jauhiainen presents Wanca in Korp, a sentence corpus for under-resourced Uralic languages and the process how the corpus was collected. New methods for digital humanities are presented in the following papers: Laippala in her paper discusses how to classify texts collected from the internet by means of automatic identification. Ryynänen and Hyyryläinen analyze the concept of Digital Humanities and propose a concept of “practical digital humanities” for describing research utilising a humanist approach to practical problem solving with digital technology development in the digital humanities context. Mikhailov compares texts by their frequency lists. He uses two different types of frequency word lists, unlemmatized and lemmatized, to conduct an experiment with. He observes the different outcomes of the two lists in the experiment. Ivaska presents an analysis of machine learning to identifying translated and non-translated Finnish texts and how to identify the source language of the translated text. Drobac and Linden discuss the issues relating to optical character recognition (OCR) in historical newspaper and journal text and assert that font families need to be recognized. They present an experiment relating to recognizing text in two different fonts. Cohrs and Petersen propose experimental methods of guessing a persons political party based on his tweets. Ijaz presents possibilities of analytical determination of editions from bibliographic metadata. Pääkkönen, Kettunen and Kervinen discuss findings made from user observations in searching digitized serial publications. The following papers introduce new tools in digital [...]