Correction For Raw Affiliation Université De Lorraine, IADI, INSERM U1254, F-54000 Nancy, France (R.A., B.G.).

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Correcting Raw Affiliation Information for Université de Lorraine, IADI, INSERM U1254, F-54000 Nancy, France

In the realm of academic research, accurate affiliation information is crucial for maintaining the integrity and credibility of scientific publications. However, errors in raw affiliation data can lead to inconsistencies and inaccuracies in citation records. In this article, we will focus on correcting the raw affiliation information for Université de Lorraine, IADI, INSERM U1254, F-54000 Nancy, France, which has been identified as requiring attention.

Understanding the Raw Affiliation Data

The raw affiliation data for Université de Lorraine, IADI, INSERM U1254, F-54000 Nancy, France, is provided as follows:

  • raw_affiliation_name: Université de Lorraine, IADI, INSERM U1254, F-54000 Nancy, France (R.A., B.G.)
  • new_rors: 02vjkv261;04vfs2w97;025mhc977
  • previous_rors: 02vjkv261;04vfs2w97
  • works_examples: W3083813789
  • searched between: 2018 - 2024
  • contact: 96258e772f8e67dc78402ba7c0f068fb:1a1ca1d55901d7f8c36f8acff93023 @ univ-lorraine.fr
  • version: 0.9.23-production

Identifying the Need for Correction

Upon reviewing the provided raw affiliation data, it becomes apparent that there are discrepancies in the ROR (Research Organization Registry) identifiers. The new_rors field lists three ROR identifiers, whereas the previous_rors field only includes two. This inconsistency suggests that the affiliation data may have undergone changes or updates, necessitating a correction.

Correcting the Raw Affiliation Data

To correct the raw affiliation data, we will focus on updating the ROR identifiers and ensuring consistency across the provided fields. The corrected affiliation data should reflect the following:

  • raw_affiliation_name: Université de Lorraine, IADI, INSERM U1254, F-54000 Nancy, France (R.A., B.G.)
  • new_rors: 02vjkv261;04vfs2w97;025mhc977
  • previous_rors: 02vjkv261;04vfs2w97;025mhc977
  • works_examples: W3083813789
  • searched between: 2018 - 2024
  • contact: 96258e772f8e67dc78402ba7c0f068fb:1a1ca1d55901d7f8c36f8acff93023 @ univ-lorraine.fr
  • version: 0.9.23-production

Importance of Accurate Affiliation Data

Accurate affiliation data is essential for maintaining the integrity and credibility of scientific publications. Inaccurate or inconsistent affiliation data can lead to:

  • Citation errors: Incorrect affiliation data can result in citation errors, affecting the accuracy of citation records.
  • Authorship disputes: Inconsistent affiliation data can lead to authorship disputes, compromising the credibility of research findings.
  • Funding and resource allocation: Inaccurate affiliation data can impact funding and resource allocation, potentially affecting research projects and initiatives.

In conclusion, correcting the raw affiliation information for Université de Lorraine, IADI, INSERM U1254, F-54000 Nancy, France, is crucial for maintaining the accuracy and integrity of scientific publications. By updating the ROR identifiers and ensuring consistency across the provided fields, we can ensure that the affiliation data is accurate and reliable. The importance of accurate affiliation data cannot be overstated, as it has a direct impact on the credibility and validity of research findings.
Frequently Asked Questions (FAQs) about Correcting Raw Affiliation Information for Université de Lorraine, IADI, INSERM U1254, F-54000 Nancy, France

Q: What is the purpose of correcting raw affiliation information?

A: Correcting raw affiliation information is essential for maintaining the accuracy and integrity of scientific publications. Inaccurate or inconsistent affiliation data can lead to citation errors, authorship disputes, and impact funding and resource allocation.

Q: Why is it necessary to update the ROR identifiers?

A: The ROR identifiers are used to uniquely identify research organizations. Updating the ROR identifiers ensures that the affiliation data is accurate and consistent, which is crucial for maintaining the credibility and validity of research findings.

Q: What are the potential consequences of inaccurate affiliation data?

A: Inaccurate affiliation data can lead to:

  • Citation errors: Incorrect affiliation data can result in citation errors, affecting the accuracy of citation records.
  • Authorship disputes: Inconsistent affiliation data can lead to authorship disputes, compromising the credibility of research findings.
  • Funding and resource allocation: Inaccurate affiliation data can impact funding and resource allocation, potentially affecting research projects and initiatives.

Q: How can I ensure that my affiliation data is accurate and up-to-date?

A: To ensure that your affiliation data is accurate and up-to-date, you should:

  • Verify your ROR identifiers: Ensure that your ROR identifiers are accurate and consistent across all publications.
  • Update your affiliation data: Regularly update your affiliation data to reflect any changes or updates.
  • Use a reliable affiliation data source: Use a reliable affiliation data source, such as the Research Organization Registry (ROR), to ensure accuracy and consistency.

Q: What is the Research Organization Registry (ROR)?

A: The Research Organization Registry (ROR) is a global registry of research organizations that provides a unique identifier for each organization. The ROR is used to ensure accuracy and consistency in affiliation data.

Q: How can I contact the Université de Lorraine, IADI, INSERM U1254, F-54000 Nancy, France, for further information?

A: You can contact the Université de Lorraine, IADI, INSERM U1254, F-54000 Nancy, France, through the following contact information:

  • Email: 96258e772f8e67dc78402ba7c0f068fb:1a1ca1d55901d7f8c36f8acff93023 @ univ-lorraine.fr

Q: What is the version of the affiliation data?

A: The version of the affiliation data is 0.9.23-production.

Q: What is the searched between date range?

A: The searched between date range is 2018 - 2024.

Q: What are the works examples?

A: The works examples are W3083813789.