Content Analysis of Publications in Experimental domains

This dataset support the proposal of manual content analysis as an approach to streamline the data curator workflow. We have performed manual context analysis over publications from three experimental domains (sustainable chemistry; photovoltaic generation; nanoparticle synthesis) to extract domain-specific concepts to describe data in these domains. Our approach consisted in the identification of relevant snippets of text from publications sections reporting the experimental set up. The read me provides information on how to read the dataset.

Data and Resources

Content Analysis of Publications in...CSV
This .csv file contains the snippets from the publications and proposed...
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READ METXT
The read me provides information on how to read the dataset.
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Additional Info

Field	Value
Source	Publications that supported the analysis are cited in the dataset
Author	João Aguiar Castro
Last Updated	May 27, 2024, 13:02 (UTC)
Created	December 11, 2019, 11:30 (UTC)
CiteAs	CASTRO J.A., LANDEIRA, C. Content Analysis of Publications in Experimental domains [dataset]. 11 dec 2019. INESC TEC research data repository. DOI: https://doi.org/10.25747/kh8b-xx50
DOI	https://doi.org/10.25747/kh8b-xx50
dc.Contributor	Cristiana Landeira
dc.Date	2019
dc.Format	*.csv
dc.Format.Extent	27.1 KB
dc.Language	EN (snippets) PT (proposed descriptor)
dc.Relation	Role of Content Analysis in improving the curation of experimental data. International Journal of Digital Curation, 15(1). 2020. DOI: https://doi.org/10.2218/ijdc.v15i1.705