Correcting the ROR Identifiers

Oct 13, 2025 by miodeya.com 125 views

Introduction

In the realm of academic and research data, accurate affiliation information is crucial for proper citation, collaboration, and recognition. However, errors in raw affiliation data can lead to inconsistencies and inaccuracies in various databases and publications. In this article, we will focus on correcting the raw affiliation data for UMR AGAP, INRAE, Montpellier SupAgro, located at TA A-108/03 Avenue Agropolis, 34398, Montpellier Cedex 5, France.

Understanding the Issue

The raw affiliation data for UMR AGAP, INRAE, Montpellier SupAgro contains errors in the Research Organization Registry (ROR) identifiers. The current raw affiliation name is:

UMR AGAP, INRAE, Montpellier SupAgro, TA A-108/03 Avenue Agropolis, 34398, Montpellier Cedex 5, France

However, the ROR identifiers have changed, and the new RORs are:

003vg9w96
00txxwv34
03rnk6m14
02w4exq36

Correcting the ROR Identifiers

To correct the raw affiliation data, we need to update the ROR identifiers to reflect the new values. The corrected raw affiliation name should be:

UMR AGAP, INRAE, Montpellier SupAgro, TA A-108/03 Avenue Agropolis, 34398, Montpellier Cedex 5, France
ROR: 003vg9w96;00txxwv34;03rnk6m14;02w4exq36

Works Examples

To further verify the accuracy of the corrected raw affiliation data, we can use the works examples provided:

W3020872790

Search History

The search for the corrected raw affiliation data was conducted between 2014 and 2024.

Contact Information

For any further questions or concerns regarding the correction of raw affiliation data, please contact:

Email: 1e58de35936ef4855ada5f99a97c59d2:7a46cbdd1805908b5cce2f37d1323906d44f @ inrae.fr

Version History

The current version of the corrected raw affiliation data is 0.9.23-production.

Conclusion

Correcting raw affiliation data is an essential step in ensuring the accuracy and consistency of research data. By updating the ROR identifiers and verifying the works examples, we can ensure that the corrected raw affiliation data for UMR AGAP, INRAE, Montpellier SupAgro is accurate and reliable. We hope that this article has provided valuable insights and information for researchers and data curators working with raw affiliation data.

Recommendations

To avoid similar errors in the future, we recommend:

Regularly updating and verifying raw affiliation data
Using standardized ROR identifiers
Providing clear and accurate contact information
Maintaining a version history of data corrections

By following these recommendations, researchers and data curators can ensure the accuracy and consistency of raw affiliation data, ultimately contributing to the advancement of research and knowledge.

Future Directions

As research data continues to grow and evolve, it is essential to develop and implement effective methods for correcting and verifying raw affiliation data. Future research should focus on:

Developing automated tools for correcting raw affiliation data
Improving the accuracy and consistency of ROR identifiers
Enhancing collaboration and communication among researchers and data curators
Developing standardized guidelines for correcting raw affiliation data

Introduction

In our previous article, we discussed the importance of correcting raw affiliation data for UMR AGAP, INRAE, Montpellier SupAgro. In this Q&A article, we will address some of the most frequently asked questions regarding the correction of raw affiliation data.

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

A: Correcting raw affiliation data is essential for ensuring the accuracy and consistency of research data. It helps to prevent errors and inconsistencies in various databases and publications, ultimately contributing to the advancement of research and knowledge.

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 raw affiliation data is accurate and consistent, which is essential for proper citation, collaboration, and recognition.

Q: How can I verify the accuracy of the corrected raw affiliation data?

A: To verify the accuracy of the corrected raw affiliation data, you can use the works examples provided. You can also check the ROR identifiers to ensure that they match the new values.

Q: What is the significance of the search history?

A: The search history provides information on when the corrected raw affiliation data was searched for. This information can be useful for tracking changes and updates to the data.

Q: Who should I contact for further questions or concerns?

A: For any further questions or concerns regarding the correction of raw affiliation data, please contact:

Email: 1e58de35936ef4855ada5f99a97c59d2:7a46cbdd1805908b5cce2f37d1323906d44f @ inrae.fr

Q: What is the current version of the corrected raw affiliation data?

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

Q: How can I ensure that the corrected raw affiliation data is accurate and reliable?

A: To ensure that the corrected raw affiliation data is accurate and reliable, you can:

Regularly update and verify the raw affiliation data
Use standardized ROR identifiers
Provide clear and accurate contact information
Maintain a version history of data corrections

Q: What are the future directions for correcting raw affiliation data?

A: Future research should focus on:

Developing automated tools for correcting raw affiliation data
Improving the accuracy and consistency of ROR identifiers
Enhancing collaboration and communication among researchers and data curators
Developing standardized guidelines for correcting raw affiliation data

Conclusion

Correcting raw affiliation data is a crucial step in ensuring the accuracy and consistency of research data. By addressing the frequently asked questions and providing clear and accurate information, we hope to have provided valuable insights and information for researchers and data curators working with raw affiliation data.

Recommendations

To avoid similar errors in the future, we recommend:

Regularly updating and verifying raw affiliation data
Using standardized ROR identifiers
Providing clear and accurate contact information
Maintaining a version history of data corrections