Aug 15, 2024 |
4 Mins Read
Zendy Signs Agreement With Open Access Partner Tech Science Press
[Dubai, August 1, 2024] - The AI-powered digital library, Zendy, has signed a partnership agreement with leading open access publisher, Tech Science Press. This partnership is set to increase the scholarly content within the disciplines of engineering and science on Zendy’s free Open Access plan. Founded in 1997, Tech Science Press has maintained high publishing standards for scholars, researchers, academic groups, and institutions to access relevant and reliable scholarly content. Currently, the publisher disseminates 28 peer-reviewed academic journals that specialise in the fields of science and engineering. Zendy Co-founder, Kamran Kardan said, “This partnership is well-aligned with Zendy’s mission to make academic research accessible globally. With Tech Science Press’ commitment to publishing open-access peer-reviewed journals, this partnership works towards accelerating the accessibility of academic research at a global scale. We’re delighted to host and disseminate Tech Science Press’ open access journals and advance our open subscription offerings as well.” This announcement comes as Zendy continues to forge partnerships with prominent academic publishers to expand its content library and cater to diverse user interests. Zendy recently announced a series of new partnerships with IntechOpen, IEEE, IT Governance Publishing, and IGI Global. The partnership with Tech Science Press reinforces Zendy's dedication to nurturing a global academic community and making scholarly resources accessible to all. About Zendy: Zendy is a product of Knowledge E. Since its inception in 2019, Zendy has connected over 500,000 users to academic journals, proceedings, articles, e-books, and more. Zendy is an AI-powered library that aims to make academic literature more affordable and accessible for students, researchers, and professionals worldwide. Zendy recently launched ZAIA - Zendy’s AI assistant for research. ZAIA is a domain-specific Large Language Model designed to help researchers deepen their knowledge base credible answers backed by references. To learn more, visit www.zendy.io. About Tech Science Press: As a publisher, Tech Science Press (TSP) disseminates fully peer-reviewed and Committee on Publication Ethics (COPE) compliant open access Journals that are published online. The mission of TSP has always been to promote open science and uphold research integrity, and TSP is a publisher member of COPE, SSP, ALPSP, CSE and STM. Currently, TSP publishes 28 high-quality open access journals, many of which are indexed in prestigious databases such as WoS, Scopus, Ei Compendex, PubMed Central, and Europe PMC. In addition to journal publications, TSP also publishes a series of academic books, monographs, and conference proceedings. To learn more, visit www.techscience.com
Zendy signs global agreement with British Online Archives (BOA)
[Dubai, July 15, 2024] - Zendy, a global AI-powered digital research library, has signed an agreement with academic publisher, British Online Archives (BOA). This partnership will bring an influx of primary sources covering the humanities and social sciences to Zendy. British Online Archives is a leading academic publisher that hosts over five million records, carefully sourced from private and public archives, such as The National Archives (UK) and British Library. BOA’s specially curated primary source collections cover over 500 years of world history. They boast extensive documentation from across the globe, providing invaluable source material for students and researchers working within a wide range of scholarly disciplines. Zendy Co-founder, Kamran Kardan said, “We’re happy to partner with British Online Archives to diversify the academic content available on Zendy. The humanities and social sciences are pivotal in understanding the landscape of the current world. We’re delighted to welcome archival content onto our platform. Offering our users a diverse range of enriching scholarly literature is part of our core mission. Through partnerships, we can make a significant impact to ensure that accessibility remains at the forefront of innovation in the academic publishing industry.” Head of Publishing at British Online Archives, Katherine Waite, said, “We are delighted to be forming this partnership with Zendy, whose ethos of providing access to all researchers regardless of their location greatly aligns with our own goal of being an ethically conscious publisher. We look forward to working with them as we open new doors for researchers to access some of our great content.” This partnership with British Online Archives facilitates Zendy’s mission to enhance the discoverability of quality academic content all over the globe. With a significant increase in scholarly literature from the humanities and social sciences, Zendy aims to provide a seamless solution for accessibility with the convenience of having a wide range of research available on one easy-to-use platform. Zendy recently announced a series of new partnerships with IntechOpen, IEEE, IT Governance Publishing, and IGI Global. About Zendy: Zendy is a product of Knowledge E. Since its inception in 2019, Zendy has connected over 500,000 users to academic journals, proceedings, articles, e-books, and more. Zendy is an AI-powered library that aims to make academic literature more affordable and accessible for students, researchers, and professionals worldwide. Zendy recently launched ZAIA - Zendy’s AI assistant for research. ZAIA is a domain-specific Large Language Model designed to help researchers deepen their knowledge base with credible answers backed by references. To learn more, visit www.zendy.io. About British Online Archives: British Online Archives is one of the United Kingdom's leading academic publishers whose goal is to provide students and researchers in the humanities and social sciences with access to unique collections of primary source documents. To learn more, visit www.microform.digital/boa/.
Deep Dive: The benefits of expert peer review in research
What is peer review? Peer review is the assessment of research papers by field experts, it is a collaborative process between research paper authors and field experts. The purpose of this process is to evaluate the quality of the research, suitability of publication, and acts as a rigorous quality control measure while also serving the author with valuable feedback. Understanding peer review The peer review process is vital to upholding the standard and quality of scholarly research, it also serves as an important support for authors. Peer reviews can alert authors to overlooked gaps in research and general errors as well. A survey conducted by sense about science found that 91% of respondents say their papers were significantly improved through peer review. The different types of peer review Single-anonymousDouble-anonymousOpenIn this approach, reviewers are aware of the author’s identity; however, the author does not know the identity of the reviewer. This method is usually applied in science and medical journalsThe double-anonymous process is when neither the author or reviewer is aware of each other’s identities, this is when utmost objectivity is achieved. This method is usually applied in fields of humanities and social sciences.The open method does not have a singular definition, however, it is when the author and reviewer are aware of each other’s identities. Furthermore, once the paper is published, the reviewers names and reports are also present alongside the article. The benefits of peer review Ensures quality and accuracy Peer review encourages authors to adhere to high standards in academic research, it stands to ensure only the best quality of research is disseminated. The process is designed to assess the validity, quality, and originality of submitted articles, hence filtering out those that are invalid. Furthermore, the reviewers are selected by journal editors that adhere to high standards and a comprehensive criteria to find the correct reviewer. Promotes objectivity and fairness The double-anonymous method is the most reliable method to reduce bias as both parties are not aware of each other’s identity, the process is designed to tackle inequality in scholarly publishing as it reduces bias with respect to gender, race, country, origin or affiliation. Encourages scholarly collaboration Peer reviews provide authors the platform to exchange ideas, methodologies, and findings while receiving insight from field experts, which enriches the academic landscape. It serves as a good networking opportunity and knowledge exchange. A taylor and francis study found that most researchers across all subject areas rated the contribution of peer review towards improving their articles as 8 or above, out of 10. Identifies and mitigates ethical issues Peer review catches ethical considerations like plagiarism, data fabrication, and conflicts of interest. To ensure an ethical process takes place, all conflicts of interest should be disclosed and confidentiality should be maintained. Ethics ensure the responsible conduct of research by providing clear guidelines, while also monitoring researchers and practices to ensure everything meets ethical standards. Find peer reviewed articles on Zendy In this blog, we covered the various aspects of peer review by explaining the purpose of the process and the factors it is designed to consider; we also dove into the different types of peer review and closed off with the benefits. To continue your research, you can log in to zendy.io and access millions of credible peer reviewed papers across all disciplines.
Our mission, Our AI
As a mission driven digital research library, Zendy is committed to helping reduce inequality in access to academic literature for audiences worldwide. By working closely in partnership with publishers and data providers to create an affordable and accessible route to quality, peer reviewed content, we aim to even the playing field of global research, enabling students and researchers from underserved markets to participate in the global academic and policy dialogue and to contribute to identifying solutions to our planet’s major challenges. We believe that AI has an important role to play in fostering a fairer research and publishing ecosystem. By leveraging AI, we can offer a range of innovative solutions to facilitate access to content and to make the search journey quicker and more efficient, thereby supporting researchers’ needs irrespective of funding or location. Whilst AI has the potential to transform research and education, Zendy acknowledges that it also raises ethical concerns around issues such as bias, privacy, and accountability. In response to these concerns and to the growing discussion around AI, we have formulated a list of AI imperatives to guide Zendy’s strategy for the development and integration of AI technologies into our products. Zendy’s AI Imperatives: AI in service of a better world In line with our mission to reduce inequality in research and publishing, we believe AI can help to positively impact society by facilitating access to and use of academic content. Our portfolio of AI solutions and our ongoing development work reflects this ethos, with a focus on solutions designed to support our users in their search for quality, reliable data. As a signatory to the UN’s Global Publishing Compact, and working hand in hand with our partners, we aim to offer a more enriched, personalised learning and discovery environment for all users globally, with AI very much in service of a better world. Openness, trust and transparency We explain our use of AI tools, defining them in terms of their abilities and limitations. We clarify how they fit in to our platform’s ecosystem and how users can make the most of them. If the tool makes use of partner copyrighted data, as per licensed agreements, we put in place limitations and clear safeguards on that use. We recognise the need for openness, trust and transparency across all our activities, and we are open to feedback from all of our stakeholders. Personal privacy and data governance Zendy is a committed advocate of personal privacy. As we continue to develop new solutions and acquire larger data sets, we safeguard the personal information which is shared with us through security policies and procedures to secure our systems. We also ensure that data is collected, reproduced, and protected in a compliant and appropriate manner in accordance with applicable privacy laws and regulations. Equity and unfair bias Fairness and equity are at the heart of our mission to help create a better world. As we develop and implement new AI tools and solutions, we put in place procedures to ensure reliability, and carry out extensive review. We recognise that biases and hallucinations present challenges in machine learning models, similar to their presence in human cognition. Completely eliminating these issues may compromise the reasoning abilities of our models. Therefore, to minimise these challenges, we have implemented state-of-the-art techniques derived from recent research. These include preventionand mitigation mechanisms like “chain-of-verification” and “counterfactual reasoning”, which are integrated into our models. Human oversight and accountability We believe human oversight is key to the successful development and deployment of a useful and reliable AI-powered solution. We maintain human oversight of the development of our AI tools and their output from design to deployment to ensure reliability and quality. We routinely conduct evaluation benchmarks on our models toassess their tendency to reproduce falsehoods and biases, as well as to measure their accuracy. This ongoing evaluation process enables us to continually enhance and refine our models.
Qualitative VS. Quantitative Research: How To Use Appropriately and Depict Research Results
What is qualitative and quantitative research? Before a researcher begins their research, they would need to establish whether their research results will be quantitative or qualitative. Qualitative research observes any subjective matter that can’t be measured with numbers or units, usually answering the questions “how” or “why”. This type of data is usually derived from exploratory sources like, journal entries, semi-structured interviews, videos, and photographs. On the other hand, quantitative research is numeric and objective, which usually answers the questions “when” or “where”. This data is derived from controlled environments like surveys, structured interviews, and traditional experimental designs. Quantitative data is meant to find objective information. What are the main differences between qualitative and quantitative research? The main factor of differentiation between qualitative and quantitative data are the sources that the data is gathered from, as this effects the format of the results. Sources of Qualitative DataSources of Quantitative DataParticipants’ recollection of eventsPolls, surveys and experimentsFocus groupsDatabases of records and informationObserving ethnographic studiesAnalysis of other research to identify patternsSemi-structured interviewsQuestionnaires with close-ended questionsQuestionnaires with open-ended questionsStructured Interviews When to use qualitative and quantitative research? When conducting a study, knowing how the results will be depicted drive the methodology and overall approach to the study. To understand whether qualitative or quantitative research results are best suited for your current project, we take a deeper dive at the several advantages and disadvantages of each. Qualitative research Advantages: Allows researchers to understand “human experience” that cannot be quantified Has fewer limitations, out-of-the-box answers, opinions and beliefs are included in data gathering and analysis Researchers can utilise personal instinct and subjective experience to identify and extract information Easier to derive and conduct as researchers can adapt to any changes to optimise results Disadvantages: Responses can be biased, as participants may opt for answers that are desirable. Qualitative studies usually have small sample sizes, this impacts the reliability of the study as it cannot be generalised to certain demographics. Researchers and other’s who read the study can have interpretation bias as the information is subjective and open to interpretation Quantitative research Advantages: Usually observes a large sample, ensuring a broad percentage is taken into consideration and reflected Produces precise results that can be widely interpreted Minimises any research bias through the collection and representation of objective information Data driven research method that depicts effectiveness, comparisons and further analysis. Disadvantages: Does not derive “meaningful” and in-depth responses, only precise figures are included in findings Quantitative studies are expensive to conduct as they require a large sample When designing a quantitative study, it is important to pay extra attention to all factors within the study, as a small fault can largely impact all results. How to effectively analyse qualitative and quantitative data? Since the data collection method for qualitative and quantitative studies are different, so is the analysis and organisation of the gathered information. In this section, we dive into a step-by-step guide to effectively analyse both types of data and information to derive accurate findings and results. Analysing qualitative data Types of qualitative data analysis Content analysisIdentifies patterns derived from text. This is done by categorising information into themes, concepts and keywords.Narrative analysisObserves the manner in which people tell stories and the specific language they use to describe their narrative experience.Discourse analysisUsed to understand political, cultural and power dynamics. This methos specifically focuses on the manner in which individuals express themselves in social contexts.Thematic analysisThis method is used to understand the meaning behind the words participants use. This can be deduced by observing repeated themes in text.Grounded theoryMostly used when very little information is known about a case or phenomenon. The grounded theory is an “origin” theory and other cases and experiences are examined in comparison to the grounded theory. Steps to analyse qualitative data Once your data has been collected, it is important to code and categorise the information to easily identify the source. After organising the information, you will need to correlate the information logically and derive valuable insights. Once the correlations are solid, you will need to choose how to depict the information. In qualitative data, researchers usually provide transcripts from interviews and visual evidence from various sources. Analysing quantitative data Types of quantitative data analysis Descriptive analysisThis method focuses on summarising the collected data and describing its attributes. This is when mean, median, mode, frequency or distribution is calculated.Inferential analysisThis method allows researchers to draw conclusions from the gathered statistics. It allows researchers to analyse the relationship between variables and make predictions; this includes cross-tabulation, t-tests and factor analysis. Steps to analyse quantitative data Once the data has been collected, you will need to “clean” the data. This essentially means that you’ll need to observe any duplications, errors or omissions and remove them. This ensures the data is accurate and clear before analysis. You will now need to decide whether you will analyse the data using descriptive or inferential analysis, depending on the gathered data set and the findings you’d like to depict. Now, you’ll need to visualise the data using charts and graphs to easily communicate the information in your research paper. Conduct your research on Zendy todayThis blog thoroughly covered qualitative and quantitative data and took you through how to analyse, depict and utilise each type appropriately. Continue your research into different types of studies on Zendy today, search and read through millions of studies, research and experiments now.