https://liberquarterly.eu/issue/feedLIBER Quarterly: The Journal of the Association of European Research Libraries2023-02-07T10:12:27+01:00Trudy Turnert.turner@kent.ac.ukOpen Journal Systems<div class="major-block"> <div class="featured-block"> <p>LIBER Quarterly is the peer reviewed, open access journal of <a href="http://libereurope.eu/">LIBER, the Association of European Research Libraries</a>. The journal seeks to cover all aspects of modern research librarianship and scientific information delivery. It strives to form a bridge between the scholars of the Library and Information Sciences (LIS) and the practitioners in our university and research libraries by publishing not only theoretical contributions, but also examples of good practices.</p> </div> </div>https://liberquarterly.eu/article/view/13330Nautilus2022-12-12T16:36:42+01:00Pit Schneiderpit.schneider@bnl.etat.luYves Maureryves.maurer@bnl.etat.luRalph Marschallralph.marschall@bnl.etat.lu<p>When a digital collection has been processed by OCR, the usability expectations of patrons and researchers are high. While the former expect full text search to return all instances of terms in historical collections correctly, the latter are more familiar with the impacts of OCR errors but would still like to apply big data analysis or machine-learning methods. All of these use cases depend on high quality textual transcriptions of the scans. This is why the National Library of Luxembourg (BnL) has developed a pipeline to improve OCR for existing digitised documents. Enhancing OCR in a digital library not only demands improved machine learning models, but also requires a coherent reprocessing strategy in order to apply them efficiently in production systems. The newly developed software tool, Nautilus, fulfils these requirements using METS/ALTO as a pivot format. The BnL has open-sourced it so that other libraries can re-use it on their own collections. This paper covers the creation of the ground truth, the details of the reprocessing pipeline, its production use on the entirety of the BnL collection, along with the estimated results. Based on a quality prediction measure, developed during the project, approximately 28 million additional text lines now exceed the quality threshold.</p>2023-04-26T00:00:00+02:00Copyright (c) 2023 Yves Maurer, Pit Schneider, Ralph Marschallhttps://liberquarterly.eu/article/view/12931The Communication Channels and their Potential Applicability in Enhancing Agricultural Research Data Sharing among Agricultural Researchers in Tanzania2022-10-17T23:44:15+02:00Nolasko Mwinamimwinaminolasko@yahoo.comFrankwell W. Dulle fwdulle@sua.ac.tzWulystan Pius Mtegawmtega@sua.ac.tz<p>The goal of this research was to investigate the communication channels that enhance data sharing among agriculture researchers in Tanzania. Specifically, the study aimed to identify communication channels that are used by agricultural researchers in Tanzania, examine the extent to which such channels were used to enhance data sharing among agricultural researchers, and examine the factors that influence the choices of channels used in data sharing. A descriptive cross-sectional design, alongside quantitative, and qualitative approaches, was employed to collect data from 204 respondents. The Concentric Layered Model for the channel choices was used to guide this study. Results indicate that both mediated, and non-mediated channels existed and were used as data-sharing avenues and channels. The majority of the researchers (77.9%) preferred to use non-mediated channels. Also, the findings indicate that more than 50% of respondents agreed that timely delivery, the cost of the channel, and convenience of a channel were among the factors influencing researchers in their channel selection. It can be concluded therefore that research institutions should invest in mediated channels that have been underutilized to strengthen data-sharing practices among researchers.</p>2023-04-03T00:00:00+02:00Copyright (c) 2023 Nolasko Mwinami, Frankwell W. Dulle , Wulystan Pius Mtegahttps://liberquarterly.eu/article/view/13657Towards a new relevance for research libraries2023-02-06T15:30:51+01:00Leo Waaijersleowaa@xs4all.nl<p>The invention of printing in 1455 by Johann Gutenberg and the invention of the World Wide Web in 1991 by Tim Berners-Lee have often been compared when it comes to making knowledge accessible. Both events marked a breakthrough with far-reaching social consequences. The printing press led to the disappearance of monastic libraries and their scriptoriums as sources of knowledge, to make way for university libraries and publishers. The Web is again a revolution in the distribution of knowledge, embraced by the academic community and culminating in the Open Science movement. This editorial is an exploration into the challenges that this development poses for the roles of publishers and libraries.</p>2023-05-10T00:00:00+02:00Copyright (c) 2023 Leo Waaijershttps://liberquarterly.eu/article/view/13319Organising the ERUA Open Science Meet-Ups2022-12-10T22:59:45+01:00Maximilian Hebermaximilian.heber@uni-konstanz.de<p>The field of Open Science is subject to constant change and expansion. In order to stay up to date, exchange is paramount – not only within universities, but also within larger spheres, such as academic alliances. This paper analyses the development of a format of international Open Science-related exchange called “ERUA Open Science Meet-Ups” within the Re:ERUA project (<strong>re</strong>search trajectory of the <strong>E</strong>uropean <strong>R</strong>eform <strong>U</strong>niversity <strong>A</strong>lliance). We will look at in which contexts the format came to be, how we got the format started and which measures of promotion and dissemination we took. Moreover, we will discuss the individual sessions’ scope and provide insight into which lessons we learned when performing the Open Science Meet-Ups. Specific recommendations for everyone wanting to set up a similar format as well as an outlook on future sessions will conclude the paper.</p>2023-02-28T00:00:00+01:00Copyright (c) 2023 Maximilian Heber