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TECHNOLOGICAL TOOLS IN RESEARCH

 


TECHNOLOGICAL TOOLS IN RESEARCH

Dr. Sindhu V Jose,

Assistant Professor of English,

Sona College of Arts and Science,

Salem

Abstract:

Technology has completely changed the way research is done. Research is a step by step process. One has to collect the data, gather information, analyse it, learn thoroughly, citing references, before going for publication the article should be free from plagiarism. Few decades ago, research was a long process. The researcher should visit various libraries to collect materials. But today the researchers have access to a variety of tools for collecting, analysing, and sharing data easier, faster, and more accurate. From artificial intelligence (AI) to cloud computing and reference management software, these tools have become essential to modern research. This paper explores some of the most impactful technological tools, and how they simplify the research process, the challenges of adopting them, and what the future holds for research technology.

Keywords: Data Collection Tools, Online Survey, Management Software, Publication, Plagiarism Detection Tools

 Introduction

What is Research? An article should introduce a problem or create a problem in the form of a question. Solving the problems or to find answers for the question is Research. Before the advancement of technology, the researchers depend on the guide or manual methods to collect and analysedata, which consumed the time and the researchers are tend to make mistakes. The rise of digital tools and technology has made things drastically changed.

Now in the modern technical era, the researchers can be able to use AI-driven analysis, cloud-based collaboration platforms, and automation to make their work more effective and precise. These tools not only save time but also help researchers to handle large-scale data in a comfortable manner. This paper looks at some of the key tools that have become essential in research, breaking them down into four main categories: data collection, data management, plagiarism detection, and publication.

 Data Collection and Management Tools

Good research starts with good data, and modern technology has made collecting and managing data easier than ever. By using some online survey and data collection tools the researchers can collect data. The scholars gather information through Surveys, interviews, and web scraping.

Google Forms – A simple, free tool for creating surveys and collecting responses in real time. Google Forms is a free online form builder app that offers all the features of one who is in need to create a simple poll or dynamic survey. In the Google Forms, the surveyor or the researcher can add different types of question types (objective or short form), use logic form, customize the form to match one’s brandingand so on. Once the form is submitted, the data can be gathered in an excel or a word format.

SurveyMonkey– This is one of the more advanced survey tools that provides deeper insights and analytics. In the fast-moving trendy world, all are in haste to make decisions quickly and confidently. Survey Monkey, the fast and intuitive platform empowers people with the insights and provides answers to more than 20 million questions every day. It also helps organizations of all sizes, build products, create winning marketing strategies, delight their customers, and cultivate an involved and happy personnel.

Qualtrics – The more powerful platform that is used in academic and business research for gathering detailed survey data. Impact can be recognised based on the performance and results, not on politics. Qualtrics strive to learn and grow, so they are direct and translucent with each other in addition, they also openly share their goals, strengths and improvement areas.

Web Scraping Tools (BeautifulSoup&Scrapy) – With the aid of these tools researchers can extract large amounts of data from websites that paves the way to gather information from online sources.Scrapy is a comprehensive web scraping framework, perfect for large-scale data extraction projects and offers built-in support for crawling, whereas Beautiful Soup is a analyzing library best suited for smaller, more straightforward scraping tasks without the built-in crawling capabilities.Scrapy excels in speed and efficiency for extensive scraping operations, and Beautiful Soup shines in simplicity and ease of use for quick tasks.

 Data Management Software

After collecting data, researchers need to organize and analyse it. Some of the most popular tools for data management include:

Microsoft Excel & Google Sheets – Both are great for organizing and performing basic analysis on data. Google Sheets is an online spreadsheet software known for its collaboration, while Microsoft Excel is desktop software that manages large data sets and complex computations. The management softwares are well-known and can help in many facades of business, like forecasting future performance, calculating taxes or revenues, aiding in payroll functions, and creating charts. Together, the Google Sheets and Microsoft Excel give users the ability to create and manage spreadsheets.

SPSS, R, and Python – Advanced statistical tools that help researchers to analyse complex datasets are SPSS Statistics, R and Python. SPSS Statistics excels in scalable statistical analysis, aiding in data preparation, analysis and visualization. R is recognized for its speed and performance in machine learning, while Python is known for its rich libraries for automation and web scraping.

Electronic Lab Notebooks (ELNs) – Electronic Lab Notebooks are secure digital notebooks that help researchers to keep track of their experiments and data. The laboratory notebook is one of the most basic and essential tools for research and development, from initial experimentation to product realization. Though it is used for simple data recording or as legally significant evidence, laboratory notebooks are pervasive and essential to research science.

 Reference Management Software

Keeping track of sources and citations can be a hassle, but reference management tools help simplify the process:

Zotero – A free and open-source reference management tool. Zotero as an open-accessreference management tool, supports as one’s personal research assistant and it helps to collect, organize, cite, and share the research sources. It also allows the researcher to save references from library catalogues, research databases, and the Web.  He or she can add PDFs, images, audio and video files, snapshots of web pages, and even inscribe annotations and attach them to the citation. Vast major citation styles are used here and it is more helpful for the researchers to create bibliographies too.

EndNote – A most widely used commercial software for managing references.EndNote can helpto store, organize and manage references including tables, charts/figures, images, and PDFs in one place.One can import or search for references from many databases and other online resources, like PubMed, Cochrane Library, Embase, Scopus, Web of Science, EBSCOhost databases, Ovid databases, and Google Scholar, etc. Create group sets, groups, and colour tags to categorize and organize your references. One can share the library or select group with other researchers from the desktop or online version with up to hundred people. It also helps to find a matching journal to submit one’s paper to publish.

BibTeX – Commonly used in LaTeX for managing bibliographies in research papers. BibTeX is reference management software for configuring lists of references. The BibTeX tool is stereotypically used together with the LaTeX document preparation system. The purpose of BibTeX is to make it easy to cite sources in a dependable manner, by separating bibliographic information from the presentation of this information.

 Publishing and Plagiarism Detection Tools

After completing research, the next step is to write and publish the findings. Various tools help researchers to write in the better format and ensure its originality.

Writing and Formatting Tools

Writing clear and professional research papers is important, and these tools can help:

LaTeX – The go-to tool for formatting scientific and technical papers. LaTeX is a high-quality typesetting system; it includes features considered for the production of technical and scientific documentation. LaTeX is the de facto standard for the communication and publication of scientific documents.

Grammarly – An AI-powered tool that helps to improve grammar and writing style. To enhance grammar, style, and clarity in writing, Grammarly is built with the digital workflow—and security—in mind.  AI-enabled English communication assistance works impeccably across platforms and devices, including more than 500,000 applications and websites. Grammarly Free is designed to improve and refines everyday writing so that anyone can write with confidence.

Hemingway Editor – Helps in making writing clearer and more succinct. Simplify and clarify one’s writing in fraction of seconds. Hemingway Editor saves time with instant suggestions to rewrite wordy sentences, weak phrases, and passive voice.

 Plagiarism and Similarity Detection

To maintain academic integrity, researchers use plagiarism detection tools to ensure their work is original:

Turnitin – A widely used plagiarism checker in academic writing. Turnitin is an originality checking and plagiarism prevention service that checks thewriting for citation mistakes or inappropriate copying. While submitting the paper, Turnitin compares it to text in its massive database of student work, websites, books, articles, etc.   

iThenticate – The tool used by publishers and researchers to detect plagiarism. The trusted partnership with Crossref gives iThenticate access to an unparalleled database of high-quality scholarly content. It is combined into the top publishers’ workflows. IEEE, Nature Springer, Wiley, and thousands more trust iThenticate to identify cliched work. For authors, using the same software as their preferred publisher to check for plagiarism gives a higher level of confidence and could, ultimately, enhancement the chances of acceptance.

Copyscape – An online tool for identifying duplicate content. Copyscape is an online plagiarism detection resolution. Copyscape's products brag millions of website owners worldwide to check the uniqueness of their new content, thwart duplicate content, and search for copies of existing content online.

Plagscan – Plagscan helps to ensure the originality of academic work. Your Plagiarism Checker. It also checks the genuineness of a text within a couple of clunks. This Plagiarism Detection software works with all common file formats. ThePlagScan Report is malleable to all requirements. As a printable PDF-file or to collaborate with others in an interactive browser report – PlagScanwill be able to do it.

 

 

Challenges and Future Trends

Though technology has made research easier, one cannot cope it up without challenges. Some of the biggest issues’ that researchers face is: Data Privacy, Ethical Concerns and Accessibility Barriers. Data Privacy is ensuring that the sensitive research data is safe and secure. It is otherwise known as Information Privacy. This privacy is classically associated with the proper handling of personal data or personal identifiable information, other valuable or confidential data. AI-driven research and data collection give rise to ethical questions. Ethical considerations in research are a set of principles that guide one’s research designs and practices. Scientists and researchers must always stick to a certain code of conduct while collecting data from the people. The last one is Accessibility Barriers. Some research tools can be exclusive, making unreachable to the researchers in developing countries. In Future, one can presume more AI -driven research tools with better data security and more automation in the research process. The progresses will continue to shape the upcoming research with quicker, precise and more reachable to everyone.

Conclusion

Technology has completely transformed research, making it easier, faster, and more accurate. From collecting and analysing data to collaborating with other researchers and publishing findings, modern tools have improved every stage of the research process. As technology continues to advance, AI and automation will play an even bigger role in shaping the future of research, opening up new possibilities and challenges for researchers around the world.

Works Cited

Copyscape. https://www.trustradius.com/products/copyscape/reviews

Google Drive: https://www.google.com/drive/

Google Forms: https://www.google.com/forms/about/.

Grammarly: https://www.grammarly.com/

IBM SPSS: https://www.ibm.com/analytics/spss-statistics-software.

Ithenticate. https://www.ithenticate.com/

Mendeley: https://www.mendeley.com/.

Plagscan: https://www.plagscan.com/en/.

Research Ethics: https://www.scribbr.com/methodology/research-ethics/.

Turnitin: https://www.turnitin.com/

Zotero: https://libguides.cmich.edu/Zotero