<abstract xmlns="http://www.w3.org/1999/xhtml">

<sec><h3>Purpose</h3>
<p>To supplement the quantitative portrait of Ukrainian Economics discipline with the results of gender and author ordering analysis at the level of individual authors, special methods of working with bibliographic data with a predominant share of non-English authors are used. The properties of gender mixing, the likelihood of male and female authors occupying the first position in the authorship list, as well as the arrangements of names are studied.</p>
</sec>
<sec><h3>Design/methodology/approach</h3>
<p>A data set containing bibliographic records related to Ukrainian journal publications in the field of Economics is constructed using Crossref metadata. Partial semi-automatic disambiguation of authors’ names is performed. First names, along with gender-specific ethnic surnames, are used for gender disambiguation required for further comparative gender analysis. Random reshuffling of data is used to determine the impact of gender correlations. To assess the level of alphabetization for our data set, both Latin and Cyrillic versions of names are taken into account.</p>
</sec>
<sec><h3>Findings</h3>
<p>The lack of well-structured metadata and the poor use of digital identifiers lead to numerous problems with automatization of bibliographic data pre-processing, especially in the case of publications by non-Western authors. The described stages for working with such specific data help to work at the level of authors and analyse, in particular, gender issues. Despite the larger number of female authors, gender equality is more likely to be reported at the individual level for the discipline of Ukrainian Economics. The tendencies towards collaborative or solo-publications and gender mixing patterns are found to be dependent on the journal: the differences for publications indexed in Scopus and/or Web of Science databases are found. It has also been found that Ukrainian Economics research is characterized by rather a non-alphabetical order of authors.</p>
</sec>
<sec><h3>Research limitations</h3>
<p>Only partial authors’ name disambiguation is performed in a semi-automatic way. Gender labels can be derived only for authors declared by full First names or gender-specific Last names.</p>
</sec>
<sec><h3>Practical implications</h3>
<p>The typical features of Ukrainian Economic discipline can be used to perform a comparison with other countries and disciplines, to develop an informed-based assessment procedure at the national level. The proposed way of processing publication data can be borrowed to enrich metadata about other research disciplines, especially for non-English speaking countries.</p>
</sec>
<sec><h3>Originality/value</h3>
<p>To our knowledge, this is the first large-scale quantitative study of Ukrainian Economic discipline. The results obtained are valuable not only at the national level, but also contribute to general knowledge about Economic research, gender issues, and authors’ names ordering. An example of the use of Crossref data is provided, while this data source is still less used due to a number of drawbacks. Here, for the first time, attention is drawn to the explicit use of the features of the Slavic authors’ names.</p>
</sec>
</abstract>

Purpose
To supplement the quantitative portrait of Ukrainian Economics discipline with the results of gender and author ordering analysis at the level of individual authors, special methods of working with bibliographic data with a predominant share of non-English authors are used. The properties of gender mixing, the likelihood of male and female authors occupying the first position in the authorship list, as well as the arrangements of names are studied.

Design/methodology/approach
A data set containing bibliographic records related to Ukrainian journal publications in the field of Economics is constructed using Crossref metadata. Partial semi-automatic disambiguation of authors’ names is performed. First names, along with gender-specific ethnic surnames, are used for gender disambiguation required for further comparative gender analysis. Random reshuffling of data is used to determine the impact of gender correlations. To assess the level of alphabetization for our data set, both Latin and Cyrillic versions of names are taken into account.

Findings
The lack of well-structured metadata and the poor use of digital identifiers lead to numerous problems with automatization of bibliographic data pre-processing, especially in the case of publications by non-Western authors. The described stages for working with such specific data help to work at the level of authors and analyse, in particular, gender issues. Despite the larger number of female authors, gender equality is more likely to be reported at the individual level for the discipline of Ukrainian Economics. The tendencies towards collaborative or solo-publications and gender mixing patterns are found to be dependent on the journal: the differences for publications indexed in Scopus and/or Web of Science databases are found. It has also been found that Ukrainian Economics research is characterized by rather a non-alphabetical order of authors.

Research limitations
Only partial authors’ name disambiguation is performed in a semi-automatic way. Gender labels can be derived only for authors declared by full First names or gender-specific Last names.

Practical implications
The typical features of Ukrainian Economic discipline can be used to perform a comparison with other countries and disciplines, to develop an informed-based assessment procedure at the national level. The proposed way of processing publication data can be borrowed to enrich metadata about other research disciplines, especially for non-English speaking countries.

Originality/value
To our knowledge, this is the first large-scale quantitative study of Ukrainian Economic discipline. The results obtained are valuable not only at the national level, but also contribute to general knowledge about Economic research, gender issues, and authors’ names ordering. An example of the use of Crossref data is provided, while this data source is still less used due to a number of drawbacks. Here, for the first time, attention is drawn to the explicit use of the features of the Slavic authors’ names.

Peculiarities of gender disambiguation and ordering of non-English authors’ names for Economic papers beyond core databases<xref ref-type="fn" rid="j_jdis-2023-0001_fn_001"><sup>①</sup></xref>

University of Social Sciences Spoleczna Akademia Nauk

Journal of Data and Information Science

This work is licensed under the Creative Commons Attribution 4.0 International License.

Peculiarities of gender disambiguation and ordering of non-English authors’ names for Economic papers beyond core databases

Purpose
To supplement the quantitative portrait of Ukrainian Economics discipline with the results of gender and author ordering analysis at the level of...

	Entire data set		Reshuffled^*	Not indexed in Scopus and/or WoS		Indexed in Scopus and/or WoS

	# records	Share	Share	# records	Share	# records	Share
All papers	25933	-	-	22683	-	3250	-
All papers assigned to one of the categories	17352	100%	(13785 records on average)	15422	100%	1930	100%
F solo	5871	33.8%	34.8%	5684	36.9%	187	9.7%
F coll	3085	17.8%	10.4%	2841	18.4%	244	12.6%
MIX coll	4283	24.7%	28.5%	3236	21%	1047	54.3%
M coll	816	4.7%	4.1%	598	3.9%	218	11.3%
M solo	3297	19%	22.2%	3063	19.8%	234	12.1%

	Number of papers (collaborative only)	Number (%) of papers with definitely non-alphabetical ordering of authors’ names	Adjusted number (%) of papers that are potentially alphabetically ordered by intention
Entire data sets	13237	6596 (49.8%)	3824 (28.9%)
Papers marked by gender categories	8184	4057 (49.6%)	2384 (29.1%)
Papers indexed in Scopus and/or WoS	2592	1672 (64.5%)	601 (23.2%)
Papers NOT indexed in Scopus and/or WoS	10645	4924 (46.3%)	3223 (30.3%)
Cross-gender papers	4283	2369 (55.3%)	1169 (27.3%)
Solo-gender papers	3901	1688 (43.3%)	1215 (31.1%)

Peculiarities of gender disambiguation and ordering of non-English authors’ names for Economic papers beyond core databases^①

Article Category: Research Paper

Published Online: Mar 05, 2023

Page range: 72 - 89

Received: Jul 07, 2022

Accepted: Nov 16, 2022

DOI: https://doi.org/10.2478/jdis-2023-0001

Keywords
Scholarly metadata, Economics, Crossref, Open Ukrainian Citation Index, Ukraine, Gender, non-Western authors

© 2023 Olesya Mryglod et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

Distribution of papers according to authors’ gender: a single female author (F solo); two or more authors, only females (F coll); two or more authors, at least one female and at least one male (MIX coll); two or more authors, only males (M coll); a single male author (M solo).

The numbers of non-alphabetically ordered papers and estimated volume of potentially alphabetized papers (adjusted values) for different data samples.

Peculiarities of gender disambiguation and ordering of non-English authors’ names for Economic papers beyond core databases①

Article Category: Research Paper

Published Online: Mar 05, 2023

Page range: 72 - 89

Received: Jul 07, 2022

Accepted: Nov 16, 2022

DOI: https://doi.org/10.2478/jdis-2023-0001

KeywordsScholarly metadata, Economics, Crossref, Open Ukrainian Citation Index, Ukraine, Gender, non-Western authors

© 2023 Olesya Mryglod et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

Distribution of papers according to authors’ gender: a single female author (F solo); two or more authors, only females (F coll); two or more authors, at least one female and at least one male (MIX coll); two or more authors, only males (M coll); a single male author (M solo).

The numbers of non-alphabetically ordered papers and estimated volume of potentially alphabetized papers (adjusted values) for different data samples.

Peculiarities of gender disambiguation and ordering of non-English authors’ names for Economic papers beyond core databases^①

Keywords
Scholarly metadata, Economics, Crossref, Open Ukrainian Citation Index, Ukraine, Gender, non-Western authors