Version: 5

Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

Date of data collection: 2023/09/05

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
File list:

- data_articles_journal_list_v5.xlsx: full list of 140 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_v5.csv: full list of 140 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 5th version
- Information updated: number of journals, URL, document types associated to a specific journal.

Version: 4

Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

Date of data collection: 2022/12/15

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
File list:

- data_articles_journal_list_v4.xlsx: full list of 140 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_v4.csv: full list of 140 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 4th version
- Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
- Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR), Scopus and Web of Science (WOS), Journal Master List.

Version: 3

Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

Date of data collection: 2022/10/28

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
File list:

- data_articles_journal_list_v3.xlsx: full list of 124 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_3.csv: full list of 124 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 3rd version
- Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
- Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR).

Erratum - Data articles in journals Version 3:

Botanical Studies -- ISSN 1999-3110 -- JCR (JIF) Q2
Data -- ISSN 2306-5729 -- JCR (JIF) n/a
Data in Brief -- ISSN 2352-3409 -- JCR (JIF) n/a

Version: 2

Author: Francisco Rubio, Universitat Politècnia de València.

Date of data collection: 2020/06/23

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
File list:

- data_articles_journal_list_v2.xlsx: full list of 56 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_v2.csv: full list of 56 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 2nd version
- Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
- Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Scimago Journal and Country Rank (SJR)

Total size: 32 KB

Version 1: Description

This dataset contains a list of journals that publish data articles, code, software articles and database articles.

The search strategy in DOAJ and Ulrichsweb was the search for the word data in the title of the journals.
Acknowledgements:
Xaquín Lores Torres for his invaluable help in preparing this dataset.

Only countries with more than 1% of the fractionally-counted articles are listed, in decreasing order of the percentage share of articles.

Context

The following shortlist of diamond open-access journals was compiled to increase awareness of alternative scholarly publication models among the six departments of the Faculty of Science at Utrecht University. The list is relevant to the six disciplines at the Faculty of Science: Biology, Chemistry, Mathematics, Information and Computing Sciences, Physics, and Pharmaceutical Sciences. For this purpose, a "diamond journal" is defined as a journal indexed in the Directory of Open Access Journals (DOAJ) that does not charge an article processing charge (APC).

Contents and Results

The Excel file titled “Diamond_journals_faculty_of_science_UU” contains the list of selected diamond journals based on the following criteria: they allow submissions in English, have a plagiarism screening policy, possess an electronic ISSN number, and accept submissions in Biology, Chemistry, Mathematics, Information and Computing Sciences, Physics, and Pharmaceutical Sciences. In this shortlist, 355 journals meet the criteria. Out of these 355 journals, only 29 have received a DOAJ seal, 150 journals are indexed in Scopus, and 94 journals are indexed in Web of Science.

A detailed description of the methods employed to obtain this shortlist can be found in the Word file titled "Methods_and_Results".

The raw CSV data has been included under the name "Raw_DOAJ_journal_metadata_2023_07_25".

Limitations

The compilers of this shortlist are aware that some current diamond journals could change their status to non-diamond by charging article processing fees at a later stage. Since the journal record is not always updated by the publishers, we strongly recommend the users double-check the latest open access status directly on the journal's homepage (journal URLs are provided in the Excel file). The same applies for Scopus and WOS indexations.

Current science evaluation still relies on citation performance, despite criticisms of purely bibliometric research assessments. Biological taxonomy suffers from a drain of knowledge and manpower, with poor citation performance commonly held as one reason for this impediment. But is there really such a citation impediment in taxonomy? We compared the citation numbers of 306 taxonomic and 2291 non-taxonomic research articles (2009–2012) on mosses, orchids, ciliates, ants, and snakes, using Web of Science (WoS) and correcting for journal visibility. For three of the five taxa, significant differences were absent in citation numbers between taxonomic and non-taxonomic papers. This was also true for all taxa combined, although taxonomic papers received more citations than non-taxonomic ones. Our results show that, contrary to common belief, taxonomic contributions do not generally reduce a journal's citation performance and might even increase it. The scope of many journals rarely featuring taxonomy would allow editors to encourage a larger number of taxonomic submissions. Moreover, between 1993 and 2012, taxonomic publications accumulated faster than those from all biological fields. However, less than half of the taxonomic studies were published in journals in WoS. Thus, editors of highly visible journals inviting taxonomic contributions could benefit from taxonomy's strong momentum. The taxonomic output could increase even more than at its current growth rate if: (i) taxonomists currently publishing on other topics returned to taxonomy and (ii) non-taxonomists identifying the need for taxonomic acts started publishing these, possibly in collaboration with taxonomists. Finally, considering the high number of taxonomic papers attracted by the journal Zootaxa, we expect that the taxonomic community would indeed use increased chances of publishing in WoS indexed journals. We conclude that taxonomy's standing in the present citation-focused scientific landscape could easily improve—if the community becomes aware that there is no citation impediment in taxonomy.

Asian Journal of Agriculture and Development - ResearchHelpDesk - The Asian Journal of Agriculture and Development (AJAD), an international refereed journal first published in 2004, provides information and analysis on topics within the broad scope of agriculture and development. As the official journal of the Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), it promotes greater awareness of the latest findings in research, state-of-the-art technologies, new methodologies, and policy concerns in inclusive and sustainable agricultural and rural development. It publishes articles resulting from empirical, policy-oriented, or institutional development studies, as well as articles of perspectives on agriculture and development; political economy of rural development; and trade issues. Published twice a year in June and December, AJAD is indexed in the Emerging Sources Citation Index (ESCI) of the Web of Science (WoS), EBSCO Information Services, Research Papers in Economics (RePEc), AgEcon Search, Socio-economic Research Portal for the Philippines (SERP-P), CAB Abstracts, ASEAN Citation Index (ACI), The Essential Electronic Agricultural Library (TEEAL), and the Australian Business Deans Council (ABDC). AJAD publishes papers primarily covering Southeast, South, and East Asia only tackling the following scope of agriculture and development: globalization agricultural investments technical efficiency agricultural labor and markets biodiversity conservation technological adoption credit and microfinance environmental management sustainable development inclusive and sustainable agriculture geographical information systems natural resource management consumer behavior and preferences water resources management climate change mitigation and adaptation urban agriculture social capital trade reforms impact evaluation multilateral arrangements food value chain project analysis public policy reforms political economy rural development urban-rural migration climate change adaptation food security initiatives community development precision agriculture technologies agricultural policies and governance comparative and competitive advantages

Methods

We compiled information on 1,244 faculty members at Canadian universities who were funded by a NSERC Discovery grant (Evolution and Ecology subcommittee) between 1991 and 2019. This information included assumed binary gender from first names and institutional website use of pronouns and photographs (coded men, women); we acknowledge that we may have mis-assigned gender or failed to notice non-binary, transitional or fluid gender identities. We also collected information on the researcher’s year of PhD and all institutions they were affiliated with during their research career. This information was obtained from public curriculum vitae, institutional websites, personally-maintained researcher websites, academic networking platforms (LinkedIn, Research Gate), Google Scholar, and other public sources such as obituaries. For each researcher, we reconstructed their H-index through time using (1) a compiled list of their peer-reviewed publications and (2) the citations for each publication, for each calender year from the date of publication until 2019. We compiled their publications using a recursive procedure, which started by first downloading all publications for individuals with the researcher’s first initial and last name from Web of Science Core Collection (hereafter, WOS) starting from 5 years prior to their PhD until 2019, and then filtering this list by cross-referencing with known variants in authorship names for the researcher (from online curriculum vitae or Google Scholar profile) as well as their institutional affiliations, fuzzy matching of publication titles from their curriculum vitae or Google Scholar profile where possible, and recursive identification of previously unidentified affiliations to fine-tune the cross-referencing procedure. Once we had cleaned the publication record, we then calculated cumulative citations over years for each publication from WOS yearly citation counts as a precursor to calculating the H-index.

We identified a potential pool of publications from working groups by (1) matching WOS titles with known working group publications funded by the 15 synthesis centers that comprise the International Synthesis Consortium, (2) by searching the funding and acknowledgment sections of publications for synthesis centre names or acronyms, or keywords commonly used to describe working groups (“working group”, “synthesis group”, “synthesis working group”, “synthesis committee”, “synthesis workshop”, “catalysis group”). All publications from steps 1 and 2 were then manually coded as primary research vs. synthesis research, and as working group method vs. non-working group method. We further categorized synthesis research publications into the following types: statistical synthesis (statistical analysis of previously published or archived data collected by multiple different researchers and/or studies), conceptual synthesis (qualitative review of the literature or proposal of new frameworks for scientific concepts or investigation), or mathematical synthesis (theoretical mathematical models or specific application of general models for the purpose of prediction). We scored non-working group publications using similar criteria. However, given the large number of publications involved, we changed methods to allow for programmatic approaches based on keywords indicative of the three types of synthesis science. This data is presented in aggregated and anonymized form as needed to prevent the identification of individuals.

We conducted an online survey of current ecology and evolution faculty in Canada from July to September 2019, recruited by email and supplemented by in-person recruitment at the Canadian Society of Ecology and Evolution annual conference (Fredericton NB Canada, August 18-21 2019). The 169 valid responses represent an effective questionnaire response rate of 14.7%. The questionnaire asked for information designed to confirm or complete the researcher database (e.g. academic history, gender) as well as information about why researchers participated or not in working groups, and the perceived costs and benefits of participation. This data is presented in condensed and anonymized form only to maintain the privacy of personal information.

We used survival analysis to test if gender or pace of career progression (H-index adjusted for time since PhD) predicts the hazard rate of participation in working groups. We included an interaction between gender and H-index to assess whether potential selection effects tied to research record captured by the H-index are the same for women and men. We estimated hazard ratios for attending WGs using Cox proportional hazard models.

For the 183 researchers who participated in working groups, we used a fixed effects model with a linear spline to investigate the effects of working group participation and gender on researchers’ trajectory of H-indices over time. This model compares the trajectory of researchers’ H-indices in years before (0-5 years before) and after (1-5 years after, and >6 years after) participating in working groups, and then averaging those differences across researchers. To account for autocorrelation within individuals and heteroscedasticity across individuals, we clustered on individuals. We used a 0.67 power transformation on the “time” variable to linearize the H-index ~ time relationship. We code the spline specification in marginal form, which makes interpretation simple: coefficients of the second and third intervals capture changes in H-index growth rates from their prior intervals.

The effects of research type (synthesis vs primary) and method (working group vs traditional) on publication citation rates were evaluated with a zero-inflated generalized linear model based on a negative binomial error distribution with a log link (R package glmmTMB).

The survey results were evaluated with simple Chi-square tests of association.

Searches were performed on 06/02/15. Web of Science includes the following databases as part of the MISTRA EviEM subscription; KCI-Korean Journal Database, SciELO Citation Index and Web of Sciences Core Collection.

[ English below ] Der Datensatz enthält Daten aus der Masterarbeit an der Fachhochschule Potsdam aus dem Jahr 2023.

Titel: Open-Access-Publikationen in der Medien- und Kommunikationswissenschaft: Bestandsaufnahme

Forschungsfragen:

– Inwieweit wird der Bereich des goldenen Open Access für Medien- und Kommunikationswissenschaften durch Indexierungsdienste abgedeckt?

– Wie hoch ist der Anteil der medien- und kommunikationswissenschaftlichen Veröffentlichungen der deutschen WissenschaftlerInnen, die derzeit als Open Access verfügbar sind?

– Wie unterscheiden sich die Anteile von Open-Access-Publikationen hinsichtlich unterschiedlicher Erstveröffentlichungsjahre?

– Wie stark ist der Bereich von Gold-Open-Access (GOA) seit 2013 gewachsen? Hat sich die Verteilung der Beachtung der goldenen Open Access bei den populären Indizes geändert?

– Wie verbreitet ist die Verwendung von DOI in den deutschen Medien- und Kommunikationswissenschaften?

– Wie geeignet sind DOI-basierte Dienste für die Evaluierung des Open-Access-Sektors in den Medien- und Kommunikationswissenschaften?

Beschreibung der Daten: 0. Datenmanagementplan.docx

1. Codebuch.csv Beschreibt die im Datensatz enthaltenen Variablen, ihre Herkunft, Bedeutung und mögliche Werte. Bearbeitungszeitraum: 10.02.2023.

01_DOAJ_Zeitschriften_in_WoS_Scopus_Ebsco.csv Tabelle mit den von DOAJ indexierten Zeitschriften für Medien- und Kommunikationswissenschaften. Enthält bereinigte Daten aus dem DOAJ, die für die Analyse erforderlich sind, und zusätzliche Felder zur Identifizierung von Zeitschriften (Titel, Verlagsdaten, ISSN etc.). Die Tabelle enthält auch die im Rahmen der Studie erzeugten Variablen zur Erfassung von Zeitschriften in den Indizes von WoS, Scopes, EBSCO und OpenAlex. Erhebungszeitraum: 13.10.2022. Quelle: doaj.org

02_IAMCR_Zeitschriften.csv Die Tabelle enthält die Namen und URLs von Open-Access-Zeitschriften aus einer Liste, die von der International Association for Media and Communication Research zusammengestellt und auf der Website der Organisation veröffentlicht wurde. Erhebungszeitraum: 13.10.2022. Quelle: iamcr.org/open-access-journals

03_Nordicom_Zeitschriften.csv Die Daten stammen von der Seite des NordMedia-Netzwerks. Erhebungszeitraum: 13.10.2022. Quelle: nordmedianetwork.org/resources/journals/

04_SCIE.csv ISSN der Zeitschriften von WoS Science Citation Index Expanded. Erhebungszeitraum: 28.11.2022. Quelle: mjl.clarivate.com/collection-list-downloads

05_SSCI.csv ISSN der Zeitschriften von WoS Social Science Citation Index. Erhebungszeitraum: 28.11.2022. Quelle: mjl.clarivate.com/collection-list-downloads

06_AHCI.csv ISSN der Zeitschriften von WoS Arts & Humanities Citation Index. Erhebungszeitraum: 28.11.2022. Quelle: mjl.clarivate.com/collection-list-downloads

07_ESCI.csv ISSN der Zeitschriften von WoS Emerging Sources Citation Index. Erhebungszeitraum: 28.11.2022. Quelle: mjl.clarivate.com/collection-list-downloads

08_CCAH.csv ISSN der Zeitschriften von WoS Current Contents Arts & Humanities. Erhebungszeitraum: 28.11.2022. Quelle: mjl.clarivate.com/collection-list-downloads

09_ASC.csv ISSN der Zeitschriften von EBSCO Academic Search Complete. Erhebungszeitraum: 28.11.2022. Quelle: www.ebsco.com/title-lists

10_CA.csv ISSN der Zeitschriften von EBSCO Communication Abstracts. Erhebungszeitraum: 28.11.2022. Quelle: www.ebsco.com/title-lists

11_CMMC.csv ISSN der Zeitschriften von EBSCO Communication & Mass Media Complete. Erhebungszeitraum: 28.11.2022. Quelle: www.ebsco.com/title-lists

12_Scopus.csv ISSN der Zeitschriften von Scopus. Erhebungszeitraum: 28.11.2022. Quelle: https://www.elsevier.com/solutions/scopus/how-scopus-works/content

13_ProfessorInnen.csv Liste der ordentlichen ProfessorInnen an deutschen Universitäten mit Bezug zu den Medien- und Kommunikationswissenschaften. Enthält den Namen des Professors und der Universität, Verweis auf den Grund der Einnahme, sowie einen Hinweis auf die Aufnahme in die Stichprobe und auf die Verfügbarkeit der geeigneten Publikationen. Erhebungszeitraum: 1.12.2022 – 10.12.2022. Quelle: www.hochschulkompass.de, universitäre Webseiten (Angaben enthalten im Dokument).

14_Zeitschriftenartikel.csv Die Tabelle basiert auf Metadaten aus Publikationslisten von ProfessorInnen auf Universitäts-Websites oder persönlichen Seiten, ergänzt durch Google Scholar, Researchgate und Unpaywall. Die Daten zum Open-Access-Status wurden durch empirische manuelle Überprüfung anhand der DOI ermittelt und mit Unpaywall überprüft. Zusätzlich wurden Daten über grüne Open-Access-Publikationen über Google Scholar gesammelt. Erhebungszeitraum: 7.12.2022 – 30.12.2022. Quelle: universitäre Webseiten (Angaben enthalten im Dokument), unpaywall.org, www.researchgate.net, scholar.google.de

15_Unpaywall.csv Das Ergebnis der Abfrage bei Unpaywall mit einer Liste von DOI. Die Datei wurde verkürzt aber nicht verarbeitet, die Bedeutung der Parameter ist auf der Website des Dienstes beschrieben. Erhebungszeitraum: 5.01.2023 – 8.01.2023. Quelle: unpaywall.org Codebuch: unpaywall.org/data-format

16_Datenauswertung.ipynb Enthält ein Skript, das im Laufe der Studie verwendet wurde, um ISSNs aus verschiedenen Datenbanken zu vergleichen und einige der im Text enthaltenen Visualisierungen zu erstellen. Bearbeitungszeitraum: 15.10.2022 – 15.02.2023

ENGLISH

The dataset contains data from the master's thesis at the Potsdam University of Applied Sciences from 2023.

Title: Open Access publications in media and communication studies: review of the current situation.

Research questions:

• To what extent is the field of golden Open Access Journals for media and communication studies covered by indexing services?

• What percentage of publications in media and communication studies by German scholars is currently available as open access?

• How do the proportions of Open Access publications differ with regard to different years of first publication?

• How much has the field of gold Open Access grown since 2013? Has the distribution of attention to gold Open Access Journals changed among popular Indexes?

• How widespread is the use of DOI in German media and communication studies?

• How suitable are DOI-based services for evaluating the Open Access sector in the media and communication sciences?

Introduction

Payments for ecosystem services (PES) are a leading conservation finance tool to encourage land-users to deliver ecosystem services in exchange for financial incentives (Blundo-Canto et al., 2018; Kaiser et al., 2021; Salzman et al., 2018; Schomers and Matzdorf, 2013). They have generated considerable interest over the past two decades, following the publication of the UN’s Millennium Ecosystem Assessment (MEA, 2005). Yet, there has been a dearth of analysis that reveals the outcomes and evolution of the PES research body itself, with most studies having a very specific or limited focus on the theoretical and empirical development of these PES programmes. The ePEStemology database assembles a systematic literature review into a meta-analysis aimed at understanding knowledge generation in PES research. The database allows for an analysis of key trends in how the body of literature on PES has informed scholars and practitioners since the emergence of this conservation tool.

Research questions and main objectives:

The ePEStemology database is the largest review of PES scientific research to date and addresses the following research questions:

• In the history of 15 years of PES research, what are the dominant criteria used to define and assess success of PES in practice? Are there geographical patterns in defining those criteria? Where does research take place? And by whom?
• What does 15 years of PES research illustrate in terms of the social and political consequences that arise in the implementation of PES? To what extent does literature engage with territorial dynamics and conflicting frameworks around nature’s values?
• How has PES research evolved? Do research recommendations feed into future research objectives over time?
• How does the epistemological position, including methods used, geographic location and disciplinary focus of authors among other variables, influence PES research outcomes?

A core objective of the database is to ensure it remains a living compendium of PES research. While the database does not account for every peer-reviewed published article on PES, it facilitates the possibility of iteratively adding new publications or retroactively adding in missing articles as well as those that use cognate terms to define PES (e.g. as rewards or compensation for ecosystem services). The database also aims to serve as an important basis for future research questions on overall or regional trends emerging from PES research.

Search strategy

Using these key objectives and questions, we defined a set of variables (see attached) and search strategy to construct the ‘ePEStemology’ database. The database is populated by International Scientific Indexed (ISI) peer-reviewed journal articles. It includes Anglophone articles in Scopus and Web of Science (WoS), using all of the search terms “PES”, “Payments for Ecosystem Services,” “Payment for Ecosystem Services,” “Payment for Environmental Service,” or Payments for Environmental Services” either in the title, abstract, or keywords of queried articles.

Articles were excluded if they were produced in a language other than English or if they were book chapters, books, conference papers, reviews, or webpages. While recognizing the caveats of excluding research articles in other languages as well as in other media (e.g. as books or conference papers), we justify our approach in order to ensure consistency and comparability of the body of research literature.

Following the different steps prescribed by the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) protocol (Moher et al., 2009), we identified a total of 1,067 published articles between 2005 and 2019. We took the year 2005 as the starting point for published research on PES, following the Millennium Ecosystem Assessment (Millennium Ecosystem Assessment, 2005) of the same year as well as an initial seminal publication on the subject (Wunder, 2005). Initial screening of articles began in September, 2018 with a total of 1,215 ISI-peer reviewed research articles on PES identified between both the Scopus and WoS queries. Additional articles were included to account for the year 2019 in October, 2020 to total 1,439 articles.

It is also worth noting that Scopus providing the greatest coverage of published articles on PES, accounting for 78% of the total identified. WoS accounted for 66% of the total, but also included 305 articles that did not fall within the Scopus search.

The screening procedure for selecting articles was contingent on the time in which the search in SCOPUS and WoS were conducted. It should be noted that this systematic review does not account for every ISI-research article published on PES during the time period considered. Since the database search tools are continuously updated retroactively, the query date may alter the number of articles retrieved in the search, increasing them over time despite being limited to specific dates. However, even if the database gets adapted over time, we can safely assume that the corpus represents a representative account of peer-reviewed published research on PES. In addition to the language exclusions made (i.e. our database only includes Anglophone publications), there are various permutations on the PES terminology, including “payments for hydrological services,” “payments for watershed services”, “conservation payments,” “rewards for ecosystem services,” or “agro-ecological incentives,” and many others that make it challenging to fully account for every relevant article. However, the protocol does not include all these possible variations, but can easily allow these variations to be included and brought into the analysis at a later stage.

Coding strategy

For the initial database (2005-2019) four independent reviewers to review each abstract and full text of each article were selected (BT, CJ, GVH, VK). Each reviewer had experience in (empirical) PES research and have published peer-reviewed research on PES or other market-like transactions for ecosystem services (e.g. Tabaichount et al., 2019; Jacob et al., 2016; Van Hecken et al., 2015; Kolinjivadi and Sunderland, 2012). Broad variables of interest that guide our analysis (e.g. research objectives, disciplines, methods, author affiliations and positionality, geographical base, research outcomes, and others) served as the basis for coding. However, in order to establish a foundation of codes for each of these categories of interest and further refine each of those broader categories, the research team randomly selected 100 articles of the final 1,067 articles identified and applied a grounded theory open-coding process (e.g. Strauss and Corbin, 1990; Thornberg and Charmaz, 2014). The latter implies a process in which any preconceived identification for each category of interest was open to be further adapted prior to the final coding process. The iterative process of initial coding determined the most relevant sets of codes for each identified variable of interest, as well as possible values for each of them. Additional codes were added to the list as more articles were reviewed and until saturation was reached.

After discussing and deciding on the final categories/variables with the whole group, all remaining articles in the corpus were evenly and randomly divided among all reviewers. On average, each of the four reviewers coded between 500 and 600 articles.

Subsequently, and for over a period of 15 months, the coding team revised and coded all articles based on the abstracts and a review of the full text in case the abstract did not allow to accurately code some of the variables. Each article was independently (blindly) coded by two different reviewers. To ensure robustness of coding, pairs of reviewers for each set compared results of the coding process for each article through a triangulation process and resolved discrepancies through collective deliberation and cross-checked consensus.

Variable list

The variable list and description of variables and their corresponding values can be found in the attached Word-document