# data curation

> work performed to ensure meaningful and enduring access to data

**Wikidata**: [Q15088675](https://www.wikidata.org/wiki/Q15088675)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Data_curation)  
**Source**: https://4ort.xyz/entity/data-curation

## Summary
Data curation is the work performed to ensure meaningful and enduring access to data. It is a specialized field of study that involves gathering, organizing, and maintaining data to make it useful and accessible over time. This process is essential for preserving the integrity and usability of data across various domains, including research, libraries, and digital archives.

## Key Facts
- Data curation is a subclass of content curation, specifically focused on data.
- It is a field of study with applications in computer science and research.
- The term "data curation" is used in multiple languages, including Chinese (数据监护) and Arabic (تنظيم البيانات).
- Data curation is described by sources such as the Open Science Thesaurus and the Medical Subject Headings (MeSH).
- It is associated with topics like medical algorithms and documentation in the MeSH classification system.
- Data curation has been studied and applied by researchers such as Elwin Huaman, a Peruvian computer scientist.
- The field is recognized by identifiers from the Library of Congress and the National Library of Israel.
- Data curation is relevant to domains such as computer science and documentation.

## FAQs
**What is the relationship between data curation and content curation?**
Data curation is a specific subclass of content curation, focusing exclusively on data. While content curation involves gathering relevant information for a particular topic, data curation ensures that this information is organized, preserved, and made accessible in a structured format.

**Who are some notable figures in the field of data curation?**
Elwin Huaman, a Peruvian computer scientist, is associated with research in data curation. His work contributes to the development and application of data curation techniques in academic and research settings.

**How is data curation described in different languages?**
The term "data curation" is translated into Chinese as "数据监护" and into Arabic as "تنظيم البيانات." These translations reflect the field's global relevance and application across linguistic boundaries.

**What are the primary applications of data curation?**
Data curation is applied in various fields, including computer science, research, and documentation. It ensures that data remains useful and accessible over time, supporting activities such as medical algorithm development and digital archiving.

## Why It Matters
Data curation is crucial for maintaining the integrity and usability of data across different domains. By ensuring that data is properly organized, preserved, and made accessible, data curation supports research, libraries, and digital archives. It plays a vital role in fields such as computer science, where structured data is essential for algorithm development and analysis. Without data curation, the value and reliability of data would diminish over time, making it difficult to retrieve and use effectively. This field of study is therefore fundamental to the advancement of knowledge and the preservation of digital information.

## Notable For
- Being a specialized field within content curation, focusing exclusively on data.
- Having applications in both computer science and research, particularly in medical algorithms and documentation.
- Being recognized by authoritative sources such as the Open Science Thesaurus and the Medical Subject Headings (MeSH).
- Being associated with notable researchers like Elwin Huaman, who contribute to its development and application.
- Having identifiers from major institutions like the Library of Congress and the National Library of Israel, indicating its recognition in academic and bibliographic systems.

## Body
### Classification and Relationships
Data curation is a subclass of content curation, specifically focusing on data. It is classified as a field of study, with applications in computer science and research. The term is recognized in multiple languages, including Chinese and Arabic, reflecting its global relevance.

### Applications and Domains
Data curation is applied in various domains, including computer science, research, and documentation. It ensures that data remains useful and accessible over time, supporting activities such as medical algorithm development and digital archiving. The field is associated with topics like documentation and medical algorithms in the MeSH classification system.

### Notable Figures
Elwin Huaman, a Peruvian computer scientist, is associated with research in data curation. His work contributes to the development and application of data curation techniques in academic and research settings. Other notable figures in the field include researchers and university teachers who have contributed to its advancement.

### Recognition and Identifiers
Data curation is recognized by various identifiers, including those from the Library of Congress and the National Library of Israel. These identifiers indicate its recognition in academic and bibliographic systems. The field is also described by sources such as the Open Science Thesaurus and the Medical Subject Headings (MeSH), further establishing its credibility and relevance.

### Language and Translation
The term "data curation" is translated into Chinese as "数据监护" and into Arabic as "تنظيم البيانات." These translations reflect the field's global relevance and application across linguistic boundaries. The term is also used in other languages, including English, Spanish, and Korean, indicating its widespread use in academic and professional contexts.

### Related Projects and Initiatives
Data curation is associated with initiatives such as #1Lib1Nearby, a library engagement project that uses special Wikidata queries to promote data curation and accessibility. This initiative highlights the practical applications of data curation in libraries and digital archives. Other related projects include crowd-sourcing efforts that involve collecting and curating data collectively, further demonstrating the field's collaborative nature.

## References

1. [Source](http://data.loterre.fr/ark:/67375/TSO-GWKKFWMR-C)
2. [OpenAlex](https://docs.openalex.org/download-snapshot/snapshot-data-format)
3. Wikibase TDKIV