Numerous approaches have been introduced to automate the process of text summarization, but only few can be easily adapted to multiple languages. This paper introduces a multilingual text processing pipeline integrated in the open-source "ReaderBench" framework, which can be retrofit to cover more than 50 languages. While considering the…

It is recommended that teacher-scholars of data science adopt reproducible workflows in their research as scholars and teach reproducible workflows to their students. In this article, we propose a third dimension to reproducibility practices and recommend that regardless of whether they teach reproducibility in their courses or not, data science…

The global COVID-19 pandemic has put into high relief the need for better remote communication and collaboration tools, but also serves as an opportunity to focus on building community capacity and promoting greater community agency in the language documentation process. This paper describes a method for remotely supporting and monitoring a…

The field of evidence synthesis is growing rapidly, with a corresponding increase in the number of software tools and workflows to support the construction of systematic reviews, systematic maps, and meta-analyses. Despite much progress, however, a number of problems remain, including slow integration of new statistical or methodological…

This study introduces a new methodology for integrating musical and linguistic data in language documentation, using ABC notation and open-source tools like ELAN and MuseScore. Designed for portability and exportability, and to facilitate both linguistic analysis and community-oriented material development, this methodology is used here to explore…

As it provides a firm foundation for advancing knowledge, a solid literature review is a critical feature of any academic investigation. Yet, there are several challenges in performing literature reviews including: (1) lack of access to the literature because of costs, (2) fracturing of the literature into many sources, lack of access and…

Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this work, we evaluate ML models for RCT classification (support vector machines, convolutional neural…

The use of Free and Open Source Software (FOSS), a subset of Information and Communication Technology (ICT), can reduce the cost of purchasing software. Despite the benefit in the initial purchase price of software, deploying software requires total cost that goes beyond the initial purchase price. Total cost is a silent issue of FOSS and can only…

In order to examine how research institutions worldwide are applying research information management (RIM) practices, OCLC Research partnered with euroCRIS to conduct a web-based survey that was administered from October 2017 through February 2018, yielding 381 responses from 44 countries, demonstrating the global nature of research information…

This study investigates students' involvement in Facebook® as a course management system (CMS), Facebook acceptance, and the relationships between the two. The study used Facebook as a CMS in two freshman courses and employed mixed method as part of an action-research approach. Forty-two students participated in the study, and 12 of those students…

Purpose: This paper aims to elaborate the library data migration process from LAMP (Library Automation Management Program) to the open source software Koha's (2.2.8 Windows based) Pakistani flavour PakLAG-Koha in six legislative assembly libraries of Pakistan. Design/methodology/approach: The paper explains different steps of the data migration…