Data Sharing

Author Resources

Human-Subject Considerations in Technology Research
ByDavid James 2026-09-072026-09-10

Technology research increasingly studies people as users, participants, data subjects, and beneficiaries. Human computer interaction experiments, usability testing, wearable devices, online surveys, social-media studies, artificial intelligence systems, cybersecurity research, mobile applications, and smart environments can all involve information about individuals. Although such projects may appear primarily technical, the involvement of people introduces important ethical responsibilities…

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Ethical Data Handling for AI and Information Systems Research
ByYong-hwa (용화) 2026-09-072026-09-07

Artificial intelligence and information systems research increasingly depend on large, complex, and sometimes highly sensitive datasets. Training data, user interactions, behavioral records, sensor streams, medical or financial information, system logs, images, text, and publicly collected online data can all contribute to the development and evaluation of modern technologies. Yet access to data does not automatically…

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How to Prepare Replication Packages for Reviewers?
BySara Comai 2026-09-052026-09-07

As computational methods become central to research, a manuscript increasingly represents only part of the evidence behind a scientific claim. Data, source code, software environments, model configurations, documentation, and analysis instructions may all be necessary for another researcher to understand how reported results were produced. A well-prepared replication package brings these elements together in a…

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Licensing Considerations for Research Software and Datasets
ByDavid James 2026-09-052026-09-07

Research increasingly depends on software, code, datasets, computational workflows, and digital tools. These materials can be essential to understanding how research findings were produced and to enabling other researchers to reproduce, validate, or extend the work. Yet one important question is often overlooked: Who is allowed to use the software or data, and under what…

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Data Availability Statements for Engineering and Computer Science Papers
ByYue Zhang 2026-09-022026-09-04

Why Data Availability Matters More Than Ever Engineering and Computer Science research has entered an era where scientific discoveries are increasingly driven by data. From artificial intelligence and machine learning to cybersecurity, robotics, Internet of Things (IoT), software engineering, computer vision, and computational modeling, modern research often depends on datasets, algorithms, simulations, and digital resources…

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How to Share Data Responsibly in CLS Publications?
ByDavid James 2026-09-012026-09-04

Why Responsible Data Sharing Matters in Modern Research Scientific progress depends on the ability of researchers to validate, reproduce, and build upon existing knowledge. As research becomes increasingly data-driven, the responsible sharing of research data has become a fundamental component of scholarly communication. Across disciplines, publishers, funding agencies, and research institutions are encouraging greater transparency…

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How to Share Data Responsibly in CLS Publications?
ByAigul Zabirova (Айгуль Забирова) 2026-08-022026-08-03

Why Responsible Data Sharing Matters in Modern Research Scientific progress depends on the ability of researchers to validate, reproduce, and build upon existing knowledge. As research becomes increasingly data-driven, the responsible sharing of research data has become a fundamental component of scholarly communication. Across disciplines, publishers, funding agencies, and research institutions are encouraging greater transparency…

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Data Deposition
ByDavid James 2026-04-072026-04-08

CrossLink Studies (CLS) is committed to promoting transparency, reproducibility, and long-term accessibility of research outputs. Data deposition is a critical component of responsible scholarly communication, ensuring that datasets supporting published findings are preserved and made accessible to the research community. Policy StatementAuthors publishing with CLS are expected to deposit all relevant research data in appropriate,…

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Data Sharing Policy
ByAigul Zabirova (Айгуль Забирова) 2026-04-072026-04-09

CrossLink Studies (CLS) is committed to fostering transparency, reproducibility, and the responsible dissemination of scientific knowledge. Data sharing is an integral component of our open-access publishing model and supports the advancement of global research collaboration. Commitment to Open and Reproducible ResearchCLS encourages authors to make the data underlying their research findings openly accessible wherever possible….

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