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How can you overcome the challenges of conducting secondary research in a global context?

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Secondary research is the process of using existing data and information from various sources to answer a research question or solve a problem. It can be a valuable and cost-effective way to gain insights and knowledge, especially in a global context where primary research may be difficult, expensive, or impractical. However, secondary research also poses some challenges that require careful attention and critical thinking. In this article, you will learn how to overcome four common challenges of conducting secondary research in a global context: data quality, data relevance, data comparability, and data ethics.

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Javier David Benitez fuentes

Medical Oncologist treating lung cancer with a special interest in Global Oncology ??, Evidence Synthesis ?? and…

1 Data quality

One of the main challenges of secondary research is ensuring that the data you use is reliable, valid, and credible. You need to assess the source, the methodology, the accuracy, and the timeliness of the data before you use it for your own purpose. You can do this by checking the credentials and reputation of the data provider, the sample size and design of the data collection, the margin of error and confidence level of the data analysis, and the date and context of the data publication. You should also look for any biases, limitations, or conflicts of interest that may affect the data quality.

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Javier David Benitez fuentes

Medical Oncologist treating lung cancer with a special interest in Global Oncology ??, Evidence Synthesis ?? and Clinical Research ?? Open to research collaborations in cancer related projects
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In cancer research, using secondary research requires scrutinizing the provider's credentials, ensuring robust methodology, and checking data analysis accuracy. The timeliness of the publication is vital due to fast-paced medical breakthroughs. It's also important to evaluate potential biases and conflicts of interest to validate the research's reliability.

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2 Data relevance

Another challenge of secondary research is finding data that is relevant to your research question or problem. You need to define your research scope and objectives clearly, and use appropriate keywords and filters to search for data that matches your criteria. You should also consider the geographic, cultural, and temporal aspects of your research context, and avoid using data that is too broad, too narrow, or too outdated for your purpose. You should also evaluate how the data relates to your theoretical framework, literature review, and research gap.

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Javier David Benitez fuentes

Medical Oncologist treating lung cancer with a special interest in Global Oncology ??, Evidence Synthesis ?? and Clinical Research ?? Open to research collaborations in cancer related projects
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In cancer research, relevance is key. Define your research scope, use precise keywords, and filter data considering geographic and cultural context. Avoid outdated sources, ensuring the data fits your theoretical framework and addresses the research gap identified in your literature review.

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3 Data comparability

A third challenge of secondary research is comparing and contrasting data from different sources, especially in a global context where data may vary in terms of definitions, measurements, standards, and formats. You need to be aware of the differences and similarities between the data sources, and adjust or harmonize them if necessary. You can do this by converting the data units, currencies, or scales, applying the same indicators or variables, or using common statistical methods or techniques. You should also acknowledge and justify any assumptions or adjustments you make when comparing data.

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4 Data ethics

A final challenge of secondary research is respecting the ethical principles and guidelines that apply to the data you use. You need to ensure that you use the data legally, responsibly, and respectfully, and that you acknowledge and cite the data sources properly. You should also protect the privacy and confidentiality of the data subjects, and avoid any misuse or misrepresentation of the data. You should also follow the ethical standards and norms of your discipline, institution, and audience when conducting and reporting your secondary research.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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How can you overcome the challenges of conducting secondary research in a global context?

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1 Data quality

2 Data relevance

3 Data comparability

4 Data ethics

5 Here’s what else to consider

Research

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How can you overcome the challenges of conducting secondary research in a global context?

1

2

3

4

5

1 Data quality

2 Data relevance

3 Data comparability

4 Data ethics

5 Here’s what else to consider

Research

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