Infographics

Research integrity refers to the adherence to ethical principles and practices throughout the research process. It involves the honest and responsible conduct of research, maintaining high standards of intellectual honesty, transparency, and accountability. Research integrity promotes the accurate and unbiased collection, analysis, and reporting of data, while upholding the values of intellectual property rights, collaboration, and respect for participants and the scientific community.

Data Annotation Infographic- Sharing data is one of the cornerstones of modern science, allowing for large-scale analyses and reproducibility. Despite the fact that data sharing has improved over the past decade, data availability and willingness to share data continue to vary widely between disciplines.

Data annotation helps ML models process large volumes of data, identify anomalies, test correlations, and detect patterns across any data feed by enabling data classification, segmentation, transformation, and augmentation.

Cascading peer review and manuscript transfer benefit the author when an article is rejected by a particular editor/journal. Many submitted manuscripts are rejected due to a lack of suitability to the journal rather than the quality of research.

The term "research misconduct" refers to fabrication, falsification, or plagiarism in proposing, performing, reviewing, or reporting research results. According to the US Office of Research Integrity (ORI).

Straive has been a strategic content partner of publishers and information providers across all delivery formats. We have helped publishers take advantage of recently enhanced eLearning and digital experiences.

Unstructured data offers investment management companies deep insights for data-driven decision making on investment analysis and risk mitigation. A recent survey by BNYMELLON, found that 52% of asset managers found there is a lack of analytical tools to cover unstructured data because it.

Unstructured data in its raw form is poor on usability. However, the insights derived from it could be transformative to your business model. Enterprises should improve the usability of unstructured data to enhance efficiencies and enact transformations based on insights.

Publishers should publish only high-quality research that provides a comprehensive, rigorous, and transparent account of the research findings. Journal editors must ensure that large submission volumes do not get in the way of rigorous manuscript screening and assessment. Journals should avoid lowering their quality standards, regardless of time and revenue constraints.

Text data forms the largest component of unstructured data in enterprises. AI technologies that transform the free text in documents and databases into normalized, structured data suitable for analysis or to drive ML algorithms.

With over 30 years of expertise in designing Edtech solutions, Straive has enabled players in the higher education space to implement the latest learning solutions. With extensive experience in the education publishing domain, digital strategies, and advanced workflows, Straive can help you create leading MOOC solutions for higher education.

Peer review is vital in establishing an article's quality and suitability for publication. Increasing submissions, compliance regulations, and publishing timelines are constantly putting pressure on editorial departments.

Benefits of open data: Making research data openly available improves reproducibility, prevents effort duplication, and maximizes the value of research funding. Due to the increasing importance of research data, publishers are urging academics to make their data accessible. Open access to research data is embedded in the open science model for increased transparency, access, and accountability.

Portable Document Format (PDF) files have become increasingly popular for digital publishing and other services. But PDFs must be formatted appropriately to allow assistive technology users to access the valuable information within them.

As the COVID-19 pandemic became more and more widespread, knowledge concerning the virus and its consequential disease increased. The healthcare system and policymakers worldwide counted on articles published on the virus to arrive at meaningful decisions. Since then, thousands of research papers have been published on COVID-19 and the Acute Respiratory Syndrome 2 (SARS-CoV-2).

By 2025, 500 exabytes of data will be created globally. About 80% of it will be in the form of unstructured data and is growing at the rate of 65% annually.