Affiliation Correction: Claude Julie Bourque, Université De Montréal

by Alex Johnson 69 views

This article addresses the correction of affiliation information for Claude Julie Bourque, PhD, who holds the position of Assistant Professor and Researcher within the Department of Pediatrics, Centre for Applied Health Sciences Education, Faculty of Medicine at the Université de Montréal in Quebec, Canada. Accurate affiliation data is crucial for the proper attribution of research and academic work, ensuring that individuals and institutions receive due credit for their contributions. This correction aims to rectify any discrepancies and provide a verified affiliation record for Dr. Bourque's scholarly activities.

Understanding the Importance of Accurate Affiliation Data

In the academic and research landscape, accurate affiliation data plays a pivotal role. It serves as a cornerstone for:

  • Attribution: Correct affiliations ensure that researchers and their institutions are properly credited for their work. This is vital for career advancement, funding opportunities, and institutional reputation.
  • Discoverability: Accurate affiliation information enhances the discoverability of research outputs. When affiliations are correctly recorded in databases and publications, it becomes easier for other researchers to find and cite the work, increasing its impact.
  • Bibliometrics and Research Evaluation: Affiliation data is a key component in bibliometric analyses, which are used to evaluate research performance and impact. Accurate data is essential for reliable and meaningful assessments.
  • Institutional Reporting: Universities and research institutions rely on affiliation data for internal reporting and external submissions to funding agencies and government bodies. Accurate data ensures compliance and facilitates resource allocation.
  • Collaboration Mapping: Affiliation data helps to map research collaborations between individuals and institutions. This can reveal patterns of collaboration and identify potential partners for future research projects.

In today's interconnected world of research, the significance of precise affiliation details cannot be overstated. When inaccuracies arise, they can lead to misattribution of work, skew bibliometric analyses, and hinder the discoverability of scholarly contributions. Therefore, diligently correcting and maintaining affiliation data is a critical task for researchers, institutions, and academic databases alike. By ensuring the accuracy of these records, we uphold the integrity of the academic ecosystem and facilitate the advancement of knowledge.

The Specific Correction: Claude Julie Bourque, PhD

The specific correction pertains to the affiliation details of Claude Julie Bourque, PhD, who is affiliated with the Université de Montréal. The raw affiliation string provided, "Claude Julie Bourque, PhD, is an Assistant Professor and a Researcher, Department of Pediatrics, Centre for Applied Health Sciences Education, Faculty of Medicine, Université de Montréal, Quebec, Canada," accurately describes Dr. Bourque's position and department. However, to ensure data integrity and standardization across research databases, it is essential to link this affiliation to the correct Research Organization Registry (ROR) identifier for the Université de Montréal.

The previous ROR identifier was https://0161xgx34, and the corrected ROR identifier is 0161xgx34. This ensures that all of Dr. Bourque's publications and research outputs are correctly attributed to the Université de Montréal in various databases and repositories. The use of ROR identifiers provides a unique and persistent way to identify research organizations, reducing ambiguity and ensuring consistency in affiliation data.

The provided work example, W4224070411, further validates Dr. Bourque's affiliation with the Université de Montréal. This work, along with other publications, will now be accurately linked to the institution using the corrected ROR identifier. This correction is crucial for maintaining the integrity of the research record and ensuring that Dr. Bourque's contributions are properly recognized.

The Importance of ROR Identifiers

The Research Organization Registry (ROR) is a global, community-led registry of open identifiers for research organizations. ROR identifiers are persistent, unique, and free, providing a standardized way to identify research institutions across different databases and systems. Using ROR identifiers is crucial for several reasons:

  • ** disambiguation**: Research organization names can vary across different sources, leading to ambiguity and errors in data analysis. ROR identifiers provide a unique and consistent way to identify institutions, regardless of name variations.
  • Interoperability: ROR identifiers facilitate the exchange of data between different systems and databases. By using a common identifier, data can be easily linked and integrated, improving data quality and reducing duplication.
  • Data accuracy: ROR identifiers help to ensure the accuracy of affiliation data. By linking publications and research outputs to the correct ROR identifier, institutions and researchers receive proper credit for their work.
  • discoverability: ROR identifiers enhance the discoverability of research outputs. When affiliations are correctly linked to ROR identifiers, it becomes easier for other researchers to find and cite the work.
  • Analysis and reporting: ROR identifiers enable more accurate analysis and reporting of research data. By using a standardized identifier, it is possible to track research outputs and collaborations across different institutions and countries.

The adoption of ROR identifiers is becoming increasingly important in the research community. Many databases, repositories, and funding agencies are now requiring or recommending the use of ROR identifiers to improve data quality and interoperability. By using ROR identifiers, researchers and institutions can ensure that their work is properly attributed and recognized.

Steps Taken to Correct the Affiliation

The correction of Dr. Bourque's affiliation involved several key steps to ensure accuracy and validity. These steps included:

  1. Identification of the Discrepancy: The initial step involved recognizing the need for an affiliation correction. This could stem from various sources, such as author feedback, database audits, or inconsistencies found during data analysis. In this instance, the correction was identified through a systematic review of affiliation data.
  2. Verification of Information: Once a potential discrepancy is identified, it's essential to verify the correct affiliation details. This typically involves cross-referencing information from multiple sources, such as the researcher's institutional website, publications, and other official records. The information provided, including Dr. Bourque's title and department, was carefully reviewed for accuracy.
  3. ROR Identifier Confirmation: The next step involved confirming the correct ROR identifier for the Université de Montréal. The ROR registry (https://ror.org/) was consulted to ensure that the identifier 0161xgx34 accurately represents the institution. This step is crucial for ensuring that the corrected affiliation aligns with established standards.
  4. Database Update: After verifying the correct information, the necessary updates were made in the relevant databases and systems. This may involve updating affiliation strings, linking publications to the correct ROR identifier, and ensuring that all records reflect the accurate affiliation information. The work example provided, W4224070411, serves as a validation point for this update.
  5. Communication and Documentation: Transparency is vital in the correction process. Documenting the changes made and communicating them to relevant stakeholders ensures that everyone is aware of the updated information. This may involve notifying the researcher, the institution, and any database administrators who manage the affiliation data.

By adhering to these meticulous steps, we can confidently rectify affiliation discrepancies and uphold the integrity of research information. The correction of Dr. Bourque's affiliation stands as a testament to this dedication to accuracy and precision.

Implications of the Correction

The correction of Claude Julie Bourque, PhD’s affiliation has several positive implications for the researcher, the Université de Montréal, and the broader research community. These implications span various aspects of academic and research activities:

  • Enhanced discoverability of research output: By associating Dr. Bourque’s work with the correct ROR identifier for the Université de Montréal, her publications and research contributions will become more easily discoverable in academic databases and search engines. This increased visibility can lead to higher citation rates and a broader impact of her work within her field.
  • Accurate representation of institutional contributions: The corrected affiliation ensures that the Université de Montréal receives proper credit for the research conducted by Dr. Bourque. This is essential for institutional reporting, rankings, and attracting funding opportunities. Accurate affiliation data strengthens the university’s reputation and highlights its contributions to the global research landscape.
  • Improved data integrity and analysis: Correcting affiliation data contributes to the overall integrity of research information. Accurate affiliations are crucial for bibliometric analyses, research evaluations, and tracking research trends. By ensuring that affiliations are correctly recorded, researchers and institutions can rely on data-driven insights for strategic planning and decision-making.
  • Facilitation of collaboration and networking: Accurate affiliation data facilitates collaboration and networking among researchers. When affiliations are correctly recorded, it becomes easier to identify potential collaborators within an institution or across different organizations. This can lead to new research partnerships and interdisciplinary collaborations.
  • Streamlined reporting and compliance: Accurate affiliation data streamlines reporting and compliance processes for both researchers and institutions. When affiliations are correctly recorded, it simplifies the process of generating reports for funding agencies, government bodies, and other stakeholders. This reduces administrative burden and ensures that research activities are accurately documented.

In summary, the correction of Dr. Bourque's affiliation is a vital step in ensuring the accuracy, discoverability, and impact of her research, while also benefiting the Université de Montréal and the wider research community. By prioritizing affiliation accuracy, we uphold the integrity of the research ecosystem and foster a culture of transparency and collaboration.

Conclusion

In conclusion, the correction of affiliation data for Claude Julie Bourque, PhD, at the Université de Montréal underscores the critical importance of accurate and standardized affiliation information in the academic and research landscape. By rectifying the affiliation and linking it to the correct ROR identifier (0161xgx34), we ensure that Dr. Bourque's research contributions are properly attributed, discoverable, and contribute to the overall integrity of the scholarly record. This correction not only benefits Dr. Bourque and the Université de Montréal but also strengthens the broader research community by enhancing data quality and facilitating collaboration. Maintaining accurate affiliation data is a continuous effort that requires diligence and attention to detail. By prioritizing data integrity, we uphold the principles of transparency, accountability, and collaboration that are essential for the advancement of knowledge.

For more information on Research Organization Registry (ROR) and its importance, please visit the ROR official website.