Mapping Methods Metadata for Research Data
Understanding the methods and processes implemented by data producers to generate research data is essential for fostering data reuse. Yet, producing the metadata that describes these methods remains a time-intensive activity that data producers do not readily undertake. In particular, researchers...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Edinburgh
2015-02-01
|
| Series: | International Journal of Digital Curation |
| Online Access: | http://localhost:8032/ijdc/article/view/347 |
| _version_ | 1797402202861469696 |
|---|---|
| author | Tiffany Chao |
| author_facet | Tiffany Chao |
| author_sort | Tiffany Chao |
| collection | DOAJ |
| description |
Understanding the methods and processes implemented by data producers to generate research data is essential for fostering data reuse. Yet, producing the metadata that describes these methods remains a time-intensive activity that data producers do not readily undertake. In particular, researchers in the long tail of science often lack the financial support or tools for metadata generation, thereby limiting future access and reuse of data produced. The present study investigates research journal publications as a potential source for identifying descriptive metadata about methods for research data. Initial results indicate that journal articles provide rich descriptive content that can be sufficiently mapped to existing metadata standards with methods-related elements, resulting in a mapping of the data production process for a study. This research has implications for enhancing the generation of robust metadata to support the curation of research data for new inquiry and innovation.
|
| first_indexed | 2024-03-09T02:21:01Z |
| format | Article |
| id | doaj.art-9dabc0b6c502411cb9f9da1d1a9ba5e7 |
| institution | Directory Open Access Journal |
| issn | 1746-8256 |
| language | English |
| last_indexed | 2024-03-09T02:21:01Z |
| publishDate | 2015-02-01 |
| publisher | University of Edinburgh |
| record_format | Article |
| series | International Journal of Digital Curation |
| spelling | doaj.art-9dabc0b6c502411cb9f9da1d1a9ba5e72023-12-06T17:43:50ZengUniversity of EdinburghInternational Journal of Digital Curation1746-82562015-02-01101Mapping Methods Metadata for Research DataTiffany Chao Understanding the methods and processes implemented by data producers to generate research data is essential for fostering data reuse. Yet, producing the metadata that describes these methods remains a time-intensive activity that data producers do not readily undertake. In particular, researchers in the long tail of science often lack the financial support or tools for metadata generation, thereby limiting future access and reuse of data produced. The present study investigates research journal publications as a potential source for identifying descriptive metadata about methods for research data. Initial results indicate that journal articles provide rich descriptive content that can be sufficiently mapped to existing metadata standards with methods-related elements, resulting in a mapping of the data production process for a study. This research has implications for enhancing the generation of robust metadata to support the curation of research data for new inquiry and innovation. http://localhost:8032/ijdc/article/view/347 |
| spellingShingle | Tiffany Chao Mapping Methods Metadata for Research Data International Journal of Digital Curation |
| title | Mapping Methods Metadata for Research Data |
| title_full | Mapping Methods Metadata for Research Data |
| title_fullStr | Mapping Methods Metadata for Research Data |
| title_full_unstemmed | Mapping Methods Metadata for Research Data |
| title_short | Mapping Methods Metadata for Research Data |
| title_sort | mapping methods metadata for research data |
| url | http://localhost:8032/ijdc/article/view/347 |
| work_keys_str_mv | AT tiffanychao mappingmethodsmetadataforresearchdata |