In the current data-driven era, the importance of analytics in academic research cannot be overstated. Analytics help determine editorial decisions and give publishers insight into how their publications are being consumed, making analytics an indispensable tool for researchers across both STEM and HSS fields. In this blog, we assess and explore how analytics enable researchers to extract insights and make evidence-based decisions while also considering the benefits and limitations of analytics within academic research.
Benefits of analytics
- Analytics within academic research provides insight into how research papers are being utilised by readers, taking into account the platforms the research is being consumed on, the citations it receives and how it is being shared.
- Analysing metrics relevant to academic research helps to identify author and reader behaviour. This results in informed editorial decisions, along with better
- Analytics also allow academic research publishers to streamline their workflow by calculating submission and acceptance timelines. This also has the potential to depict and analyse peer-review times and provides a thorough analysis of the data mentioned within a manuscript submission.
- Identifying the most cited research within a specific discipline can benefit authors’ own academic research with accurate sources from well-reputed journals and/or authors.
Consuming academic research from legal platforms which respect copyright guidelines aid publishers in collecting accurate data to produce and publish new academic research papers. Furthermore, this collection of data and metrics aids researchers advance within their careers as it helps establish researcher credibility through H-index scores and other metrics.
Drawbacks of analytics
- The collection and analysis of reader data to depict usage and engagement can raise privacy concerns especially if personal details are also extracted.
- The data collected within academic research can be biased or misinterpreted if not examined rigorously. For example, data on citations and downloads may not accurately convey the impact of research but rather the popularity of the author or journal.
- The growth of analytics in academic research may create an overreliance on metrics. This can potentially shift the focus to trending topics and authors rather than original, relevant and impactful research.
- Currently, there is no standard method for collecting and reporting analytical data within academic research. This lack of standardisation leaves room for misinterpretation, fabrication and biased numbers.
Platforms like Z-library, which provide free but illegal access to academic research and publications, pose a threat to the analytics used by publishers. Z Library bypasses traditional publishing by engaging in the unauthorised sharing of copyrighted content. It hosts digital copies of books without the explicit permission of the authors or publishers. This violates copyright laws and intellectual property rights. This can undermine the ability of publishers to make data-driven decisions about which articles to publish and promote, and can also affect the accuracy of analytics data. Which in turn affects the measurement of the true impact of academic research publications.
In conclusion, the growth of analytics within academic research is undeniable. While metrics allow publishers, authors and readers to depict how accurate their sources are and how well their research papers are performing, this comes at the cost of potential privacy concerns, fabrication of data and the lack of a standardised approach to collecting and reporting analytical data. However, investing time and resources to establish safe practices that produce accurate metrics can greatly benefit all parties involved in academic research; publishers can use this data to cater to readers by creating personalised lists and recommendations while also encouraging researchers to work within certain subject areas across different disciplines.
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