Atomic: an open-source software platform for multi-level corpus annotation

This paper presents Atomic, an open-source platform-independent desktop application for multi-level corpus annotation. Atomic aims at providing the linguistic community with a user-friendly annotation tool and sustainable platform through its focus on extensibility, a generic data model, and compatibility with existing linguistic formats. It is implemented on top of the Eclipse Rich Client Platform, a pluggable Java-based framework for creating client applications. Atomic - as a set of plug-ins for this framework - integrates with the platform and allows other researchers to develop and integrate further extensions to the software as needed. The generic graph-based meta model Salt serves as Atomic’s domain model and allows for unlimited annotation levels and types. Salt is also used as an intermediate model in the Pepper framework for conversion of linguistic data, which is fully integrated into Atomic, making the latter compatible with a wide range of linguistic formats. Atomic provides tools for both less experienced and expert annotators: graphical, mouse-driven editors and a command-line data manipulation language for rapid annotation

Collaboration Success in the Dataverse Libraries as Digital Humanities Research Partners

At Deakin, the Humanities Networked Infrastructure project (HuNI), has paved new ground for facilitating the effective use and re-use of humanities research data. HuNI is one of the first large-scale eResearch infrastructure projects for the humanities in Australia and the first national, cross-disciplinary Virtual Laboratory (VL) worldwide. HuNI provides new information infrastructure services for both humanities researchers and members of the public. Its development has been funded by the National eResearch Collaboration Tools and Resources project (NeCTAR) and undertaken by a consortium of thirteen institutions led by Deakin University. A Deakin University Library team with skills in data description, curation, retrieval and preservation is exploring with digital humanities researchers and developers effective means to support and maintain the HuNI project. HuNI ingests and aggregates data from a total of 31 different Australian cultural datasets which cover a wide range of disciplines in the humanities and creative arts. The HuNI VL also provides a number of online research capabilities for humanities researchers to discover and work with the large-scale aggregation of data. The HuNI VL enables researchers to create, save and publish selections of data; to analyse and manipulate the data; share findings and to export the data for reuse in external environments. In a major innovation, HuNI also enables researchers to assert relationships between entities in the form of ‘socially linked’ data. This capability contributes to the building of a ‘vernacular’ network of associations between HuNI records that embody diverse perspectives on knowledge and ramify avenues for research discovery beyond keyword and phrase searches. This paper reports on key milestones in this project, the future role of Libraries as digital humanities research partners and the challenges and sustainability issues that face national digital humanities research projects that are developed in strategic library settings

MOVING: A User-Centric Platform for Online Literacy Training and Learning

Part of the Progress in IS book series (PROIS)In this paper, we present an overview of the MOVING platform, a user-driven approach that enables young researchers, decision makers, and public administrators to use machine learning and data mining tools to search, organize, and manage large-scale information sources on the web such as scientific publications, videos of research talks, and social media. In order to provide a concise overview of the platform, we focus on its front end, which is the MOVING web application. By presenting the main components of the web application, we illustrate what functionalities and capabilities the platform offer its end-users, rather than delving into the data analysis and machine learning technologies that make these functionalities possible

e-Science

This open access book shows the breadth and various facets of e-Science, while also illustrating their shared core. Changes in scientific work are driven by the shift to grid-based worlds, the use of information and communication systems, and the existential infrastructure, which includes global collaboration. In this context, the book addresses emerging issues such as open access, collaboration and virtual communities and highlights the diverse range of developments associated with e-Science. As such, it will be of interest to researchers and scholars in the fields of information technology and knowledge management

Sustainability and Genericity of CLARIN Services in the Netherlands

Based on the ten years that have elapsed since the start of the CLARIN- NL project and its follow-up CLARIAH-NL, this chapter offers an analysis of the sustainability and genericity of services created in the context of CLARIN in the Netherlands. Our focus is on search applications, for which we make a proposal for coming to a more efficient and sustainable approach not only in the Netherlands but also CLARIN-wide. We also offer a number of general recommendations for improving sustainability of infrastructure services

Research Data Curation and Management Bibliography

This e-book includes over 800 selected English-language articles and books that are useful in understanding the curation of digital research data in academic and other research institutions. It covers topics such as research data creation, acquisition, metadata, provenance, repositories, management, policies, support services, funding agency requirements, open access, peer review, publication, citation, sharing, reuse, and preservation. It has live links to included works. Abstracts are included in this bibliography if a work is under certain Creative Commons Licenses. This book is licensed under a Creative Commons Attribution 4.0 International License. Cite as: Bailey, Charles W., Jr. Research Data Curation and Management Bibliography. Houston: Digital Scholarship, 2021

Crowdsourcing Scientific Work: A Comparative Study of Technologies, Processes, and Outcomes in Citizen Science

Citizen science projects involve the public with scientists in collaborative research. Information and communication technologies for citizen science can enable massive virtual collaborations based on voluntary contributions by diverse participants. As the popularity of citizen science increases, scientists need a more thorough understanding of how project design and implementation decisions affect scientific outcomes. Applying a comparative case study methodology, the study investigated project organizers\u27 perspectives and experiences in Mountain Watch, the Great Sunflower Project, and eBird, three observation-based ecological citizen science projects in different scientific domains. Five themes are highlighted in the findings: the influence of project design approaches that favor science versus lifestyle; project design and organizing implications of engaging communities of practice; relationships between physical environment, technologies, participant experiences, and data quality; the constraints and affordances of information and communication technologies; and the relationship of resources and sustainability to institutions and scale of participation. This research contributes an empirically-grounded theoretical model of citizen science projects, with comparative analysis that produced new insights into the design of technologies and processes to support public participation in the production of scientific knowledge

Forging Our Cultural Commonwealth: The Importance of Digital Curation in the Digital Humanities

New forms of digital data and tools or methods, for instance those that cross academic disciplines and domains, those that feature teams of scholars instead of single scholars, and those that involve individuals from outside the academy, can enable new forms of scholarship and teaching in the digital humanities. Such scholarship can promote reuse of digital data, provoke new research questions, and cultivate new audiences. Digital curation, the process of managing a trusted body of information for current and future use, can help maximize the value of research in the digital humanities. This exploratory qualitative study centered on the salience of digital curation to the digital humanities. A case study predicated upon semi-structured interviews, it explored the creation, use, storage, and planned reuse of data by 45 interviewees involved with nineteen Office of Digital Humanities Start-Up Grant (SUG) projects. Similarly, the study sought to determine what digital curation skills had been employed in these projects and what digital curation skills project personnel felt were most important in doing such work. Interviewees grappled with challenges surrounding data, collaboration and communication, planning and project management, awareness and outreach, resources, and technology. This study sought to understand the existing practices and needs of those engaged in digital humanities work and how closely these practices and needs align with the digital curation literature. It established a baseline for future research in this area and suggested key skills for digital curation work in the digital humanities. Finally, it provided a learning model for guiding such education.Doctor of Philosoph