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Jurnal

Data Science Journal

Scopus

ISSN 1683-1470 · Ubiquity Press · 1.001 artikel di indeks

  1. Artikel Jurnal

    Integrating Machine Learning Standards in Disseminating Machine Learning Research

    Scott C. Edmunds; Nicole Nogoy; Qing Lan dkk.

    Data Science Journal, Vol. 25 · 2026 · Inggris · DOAJ Scopus

    The increasing use of AI-based approaches such as machine learning (ML) across diverse scientific fields presents challenges for reproducibly disseminating and assessing research. As ML becomes integral to a growing range of computationally intensive applications (e.g., clinical research), there is…

  2. Artikel Jurnal

    Author Once, Publish Everywhere: Portable Metadata Authoring with the CEDAR Embeddable Editor

    Martin J. O’Connor; Marcos Martínez-Romero; Attila L. Egyedi dkk.

    Data Science Journal, Vol. 25 · 2026 · Inggris · DOAJ Scopus

    High-quality, ‘rich’ metadata are essential for making research data findable, accessible, interoperable, and reusable. The Center for Expanded Data Annotation and Retrieval (CEDAR) has long addressed this need by providing tools to design machine-actionable metadata templates that encode community…

  3. Artikel Jurnal

    Navigating Gaps in Governance and Capacity for Equitable and Responsible Data Sharing in Health Research in Sub-Saharan Africa: A Literature Review

    Pamela Andanda; Johannes Machinya; Takudzwa Mutomba dkk.

    Data Science Journal, Vol. 25 · 2026 · Inggris · DOAJ Scopus

    Sharing data from diverse sources is essential for addressing grand challenges in global health. The COVID-19 pandemic, which affected populations on a global scale, demonstrated the benefits of data sharing but also exposed some challenges that stakeholders face, such as lack of data…

  4. Artikel Jurnal

    Indigenous Governance of Data Held by Organisations: How to Operationalise Indigenous Data Sovereignty Principles in Australia

    Cassandra Sedran-Price; Riley Taitingfong; Rose Barrowcliffe dkk.

    Data Science Journal, Vol. 25 · 2026 · Inggris · DOAJ Scopus

    Indigenous Data Sovereignty has emerged in response to poor data practices concerning Indigenous Peoples worldwide and offers a way of returning control of data ecosystems to Indigenous Peoples. In Australia, the Maiam nayri Wingara Indigenous Data Sovereignty principles were developed and…

  5. Artikel Jurnal

    Automated Retrieval and Analysis of Finnish Cultural Metadata with finna

    Akewak Jeba; Julia Matveeva; Leo Lahti

    Data Science Journal, Vol. 25 · 2026 · Inggris · DOAJ Scopus

    Cultural metadata is essential in making cultural heritage resources discoverable, accessible, and understandable. However, such metadata is often difficult to access and reuse due to its heterogeneous structure and scattered sources. Cultural heritage metadata usually contains structured…

  6. Artikel Jurnal

    Indigenous Data Governance – Laying the Groundwork for a Broader Dialogue in the Aftermath of Truth and Reconciliation Committees in Sápmi

    Susanna Ragnhild A. Siri; Sara Elle Gaup; Trond Trosterud dkk.

    Data Science Journal, Vol. 25 · 2026 · Inggris · DOAJ Scopus

    Context: Open science is gaining ground and aims to build trust and transparency in research through the FAIR principles (Fairness, Accessibility, Interoperability, and Reusability of data). The GIDA-Sápmi network advocates for an ethical and responsible use/reuse of research data and promotes the…

  7. Artikel Jurnal

    Insects in the Mail, a Quantitative Analysis of Charles Robertson’s Scientific Correspondence

    Sandi Caldrone; Marcella Lees; Bethany G. Anderson

    Data Science Journal, Vol. 25 · 2026 · Inggris · DOAJ Scopus

    Charles Robertson (1858–1935), a biology professor based in Carlinville, Illinois, conducted a decades-long study recording interactions between species of insects and flowering plants within a 10-mile radius of his home. His records have enduring value as legacy data and provide invaluable…

  8. Artikel Jurnal

    MatSci-YAMZ: Integrating Human and Artificial Intelligence Vocabulary

    Scott McClellan; Addison Ireland; Colton Gerber dkk.

    Data Science Journal, Vol. 25 · 2026 · Inggris · DOAJ Scopus

    This paper presents MatSci-YAMZ, a novel implementation of Yet Another Metadata Zoo (YAMZ), a crowdsourced vocabulary application. MatSci-YAMZ is designed to assist vocabulary development for materials science by configuring a large language model (LLM) and provenance tracking into the YAMZ…

  9. Artikel Jurnal

    Data Management Challenges for Translational Agricultural Research in West Africa: The Case of the Crops Research Institute, Ghana

    Joyce Koranteng-Acquah; Sabina Leonelli

    Data Science Journal, Vol. 25 · 2026 · Inggris · DOAJ Scopus

    The establishment of robust, long-term data management strategies remains especially challenging in low-resourced and applied research contexts. Drawing on qualitative methods including ethnographic fieldwork and survey data collected from August to December 2023, this paper discusses ongoing…

  10. Artikel Jurnal

    Designing Repository-Level Evaluation Criteria: A Data Stewardship Framework for Research Data Repositories

    Sooyeon Han; Suntae Kim; JongGyu Han dkk.

    Data Science Journal, Vol. 25 · 2026 · Inggris · DOAJ Scopus

    Purpose: This study aims to design comprehensive repository-level evaluation criteria that assess data stewardship capacity, governance structures, and institutional quality control mechanisms in the context of open science and data-intensive research. Design/methodology/approach: We employed a…

  11. Artikel Jurnal

    The JARDIN Hackathon to Seek Solutions to Overcome Technical Barriers in Health Data Exchange: From the Point of Care to European Registry Networks

    César Bernabé; Daphne Wijnbergen; Alberto Cámara dkk.

    Data Science Journal, Vol. 25 · 2026 · Inggris · DOAJ Scopus

    Effective exchange of health data between healthcare providers, national registries, and European Reference Networks (ERNs) is crucial for advancing research and clinical care of rare diseases. Technical, organisational, and legal barriers persist in many situations that disrupt this process. The…

  12. Artikel Jurnal

    A Structured Examination of Reproducibility: A Case Study for HTS Using the PRIMAD Model and BioCompute Object

    Meznah Aloqalaa; Stian Soiland-Reyes; Carole Goble

    Data Science Journal, Vol. 25 · 2026 · Inggris · DOAJ Scopus

    Reproducibility is a core expectation of computational pipelines in biomedical research, particularly in health-critical applications. To support the standardised reporting of high-throughput sequencing (HTS) analyses, the IEEE 2791-2020 standard, known as the BioCompute Object (BCO), was developed…

  13. Artikel Jurnal

    Persistent Identifiers in Germany: Key Findings of a Nationwide Survey

    Andreas Czerniak; Steffi Genderjahn; Paul Vierkant dkk.

    Data Science Journal, Vol. 25 · 2026 · Inggris · DOAJ Scopus

    Persistent identifiers (PIDs) are global, unique, resolvable, and persistent references that have become core components of open science and FAIR research as well as their infrastructures. This article reports key findings from the first nationwide Survey on the Need for and Use of Persistent…

  14. Artikel Jurnal

    Work Plans: A Tool for Suggesting Implementation Strategies to Improve the FAIRness of Data Repositories

    Nancy J. Hoebelheinrich; Ismael Kherroubi Garcia; Christopher Erdmann dkk.

    Data Science Journal, Vol. 25 · 2026 · Inggris · DOAJ Scopus

    Improving the findability, accessibility, interoperability, and reusability (or ‘FAIRness’) of digital resources has become increasingly important since the publication of the ‘FAIR Principles’ in 2016. As an advocate of the FAIR Principles, GO FAIR US has developed a methodology for assessing the…

  15. Artikel Jurnal

    A Semantic Web Model for Standardizing FAIR Metrics and Assessment Results

    Robert Huber

    Data Science Journal, Vol. 25 · 2026 · Inggris · DOAJ Scopus

    This study proposes a web standards-based semantic model for representing FAIR (Findable, Accessible, Interoperable, Reusable) metrics and FAIR assessment results. Building on existing recommendations for the publication of data quality information on the Web, in particular the W3C Data Quality…

  16. Artikel Jurnal

    VESA: A Visualization-Enabled Search Application for Exploratory Dataset Discovery

    Pawandeep Kaur Betz; Tobias Hecking; Hudaif Mohammad Malikathazham dkk.

    Data Science Journal, Vol. 25 · 2026 · Inggris · DOAJ Scopus

    The increasing complexity and scale of scientific datasets demand advanced tools for efficient discovery and exploration. Traditional search systems often fall short in addressing the multidimensional nature of data and their inherent relationships, limiting their effectiveness for exploratory…

  17. Artikel Jurnal

    FAIR Data Workflow Implementation and Assessment for Ion-Exchange Chromatography in Plasma Science

    Robert Wagner; Ron Henkel; Kristina Yordanova dkk.

    Data Science Journal, Vol. 25 · 2026 · Inggris · DOAJ Scopus

    This publication focuses on the implementation of a FAIR (findable, accessible, interoperable, and reusable) data workflow for the analytical method ion-exchange chromatography and its impact on the FAIR compliance of the resulting measurement data. The workflow includes the structured collection…

  18. Artikel Jurnal

    Open Science, Health Data and Epistemic Harms: A Multidisciplinary Reflection

    Tatenda Chatikobo; Frances Griffiths; Nikita Hayden dkk.

    Data Science Journal, Vol. 25 · 2026 · Inggris · DOAJ Scopus

    Open Science (OS) promises to democratise knowledge and reduce epistemic inequalities. However, a critical analysis reveals the potential of OS to amplify structural vulnerabilities, especially for people and communities already at the margins. With a particular focus on health data, this…

  19. Artikel Jurnal

    FAIR Data in Action: The User-Centric Software Suite FAIRSave for Fully Digital, Data-Driven Studies in Materials Science

    Malte L. Flachmann; Ilia T. Bagov; Nick T. Garabedian dkk.

    Data Science Journal, Vol. 25 · 2026 · Inggris · DOAJ Scopus

    The increasing demand for FAIR (Findable, Accessible, Interoperable, Reusable) research data challenges experimental scientists to integrate structured data management directly into daily laboratory work. However, practical adoption is often hindered by high documentation effort, limited usability…

  20. Artikel Jurnal

    Universal Mandates vs. Contextual Realities: A Scoping Review of Ethical Tensions and Power Asymmetries in Global Open Science

    Mthokozisi Masumbika Ncube; Josiline Chigwada; Patrick Ngulube

    Data Science Journal, Vol. 25 · 2026 · Inggris · DOAJ Scopus

    The global diffusion of open science is widely promoted as a pathway to transparency and the democratisation of knowledge production. However, growing evidence shows that universal openness mandates often conflict with diverse cultural, institutional, and socio-economic contexts, generating ethical…

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