Dataset for "Identifying Data Sharing and Reuse with Scholix – Potentials and Limitations"
The dataset contains data for testing the Scholexplorer API (https://scholexplorer.openaire.eu/) based on the Scholix (Scholarly Link eXchange) framework, link to Python code for testing, and data collected from the API using the code developed. Data was collected in two phases for testing purpose - in September and November 2019. Output data include DOI and metadata (title, author name, publisher name) for datasets associated with University of Bath research outputs.
Cite this dataset as:
Khan, N.,
2020.
Dataset for "Identifying Data Sharing and Reuse with Scholix – Potentials and Limitations".
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-00739.
Export
Data
publisher_names_17112019.csv
text/plain (400kB)
Creative Commons: Attribution 4.0
List of publishers from Scholix API output (as of November 17, 2019)
scholix_output_26092019.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (407kB)
Creative Commons: Attribution 4.0
Data from the Scholix API for U of Bath research outputs (as of September 26, 2019)
scholix_output_17112019.csv
text/plain (2MB)
Creative Commons: Attribution 4.0
Data from the Scholix API for U of Bath research outputs (as of November 17, 2019)
scholix_Bath_codes.zip
application/zip (5kB)
Software: MIT License
Python code to collect data from the Scholexplorer API
publisher_names_merged.csv
text/plain (1kB)
Creative Commons: Attribution 4.0
Cleaned and merged list of publishers with total number of dataset linked.
Creators
Nushrat Khan
University of Bath
Documentation
Data collection method:
To find any links between University of Bath research output and datasets published in external archives, DOIs of University of Bath research outputs were collected from the Pure system. A set of Python code was developed to test the Scholix API for this purpose. The code was then used to collect data from the API. The zip file with codes includes instructions for using the code in a README.md file.
Data processing and preparation activities:
Statistical programming language R was used for data analysis and visualization.
Technical details and requirements:
Python 2.7.10
Funders
University of Bath
https://doi.org/10.13039/501100000835
Publication details
Publication date: 10 April 2020
by: University of Bath
Version: 1
DOI: https://doi.org/10.15125/BATH-00739
URL for this record: https://researchdata.bath.ac.uk/id/eprint/739
Related papers and books
Khan, N., Pink, C. J., and Thelwall, M., 2020. Identifying Data Sharing and Reuse with Scholix: Potentials and Limitations. Patterns, 1(1), 100007. Available from: https://doi.org/10.1016/j.patter.2020.100007.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Nushrat Khan
University Administration & Central Services
Library
