Rodrigo Costas

@rodrigocostas1
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In the second part of their series on funding acknowledgments, Dan Gibson, @[email protected] and @[email protected] focus on a specific acknowledgment text and how it is captured differently by different databases @[email protected] https://www.leidenmadtrics.nl/articles/acknowledging-the-difficulties-a-case-study-of-a-funding-text
Acknowledging the Difficulties: A Case Study of a Funding Text

Research on funding acknowledgments is in ascendance, with more data available and more studies done. Yet, there are specific challenges in accurately capturing this type of data. This blog post looks at a single publication's acknowledgment section in order to discuss several of these challenges.

@rodrigocostas1 @QSS_ISSI Thanks Rodrigo for taking the lead in undoing the injustice done to our colleagues Vít Macháček and Martin Srholec. Like the other signatories of the letter, I believe Scientometrics made mistakes in the way this case was handled. Importantly, however, the source of the problem is the very problematic behavior of Frontiers. Those not familiar with the background of this case may want to read the following piece in #RetractionWatch https://retractionwatch.com/2021/09/07/authors-object-after-springer-nature-journal-cedes-to-publisher-frontiers-demand-for-retraction/ @ivanoransky.
Authors object after Springer Nature journal cedes to publisher Frontiers’ demand for retraction

The authors of a paper taking a major database to task for including papers from allegedly predatory journals are objecting to the retraction of the article, which followed a request by one of the …

Retraction Watch
Hopefully these reflections will contribute to a better publication culture in our field, and reinforce the importance of respecting academic freedom by scientific publishers. @QSS_ISSI has opened the possibility for further discussions on these topics https://tinyurl.com/yfmfm45w
challenges of scientometric studies of predatory publishing

This issue of Quantitative Science Studies features the article “Predatory publishing in Scopus: Evidence on cross-country differences,” coauthored by Vít Macháček and Martin Srholec. Based on the Scopus database, this article studies how likely different countries are to publish in so-called predatory journals. Journals suspected to be predatory are identified using the well-known (and controversial) list of potentially predatory publishers and journals compiled by former librarian Jeffrey Beall.The article by Macháček and Srholec has a special history. Originally published in the journal Scientometrics (Macháček & Srholec, 2021), the article was retracted by the Editor-in-Chief following a complaint from the publisher Frontiers and a subsequent postpublication peer-review process (Anonymous, 2022). Two reasons were provided by the Editor-in-Chief of Scientometrics for the retraction: lack of a control group and focus on four publication languages (Arabic, English, French, and Spanish). The retraction led to considerable controversy (Oransky, 2021). The authors disagreed with the retraction (Srholec, 2022), and a substantial number of members of the Distinguished Reviewers Board of Scientometrics and recipients of the Derek de Solla Price Medal expressed their concerns in a letter (Abramo, Boyack et al., 2022; see also the editorial by Zhang, 2022). We also signed this letter.Following the retraction by Scientometrics, Macháček and Srholec reclaimed the copyright of their article, enabling them to submit their work elsewhere. They decided to submit their article to Quantitative Science Studies. As editors of Quantitative Science Studies, we requested Macháček and Srholec to address some weaknesses that we identified in their article. In particular, we felt that the limitations of Beall’s list needed to be emphasized more strongly and that there was a need to better explain how suspected predatory journals may end up being indexed in the Scopus database. Macháček and Srholec addressed these issues by making a number of improvements to their article. Based on our editorial assessment, these improvements were sufficient to meet the standards of Quantitative Science Studies, and we therefore decided to accept the article for publication in the journal. Although the article published in Quantitative Science Studies is different from the article originally published in Scientometrics, we emphasize that the changes made do not relate to the reasons provided for retracting the article.We acknowledge that there are different views on predatory publishing in general, and on Beall’s list in particular. We therefore invite anyone who wishes to comment on the article by Macháček and Srholec to submit their views to Quantitative Science Studies. Commentaries should have a length of at most 1500 words. They will be considered for publication in a future issue of the journal.

MIT Press
Today a letter by some #scientometrics Editorial Board members was published https://tinyurl.com/4jutpb6u expressing our disagreement with the retraction of https://tinyurl.com/bdf3k4uy. The retracted paper has been published again in @QSS_ISSI with small changes https://tinyurl.com/ytsk3jhe
In this Friday's @CWTS seminar Soohong Eum will discuss his research on (mis)alignment between research funding and research outputs. Soohong will present the results of a case study of green energy technology in South Korea. Join us virtually at 15h CET using the MS Teams link provided at https://www.cwts.nl/seminars/announcements?article=n-s2w2c4.
(Mis)alignment of scientific output with funding: the case of green energy technology in South Korean Green Growth mission

CWTS

We have just published in the @QSS_ISSI the paper we have been working on for some time exploring the #informetric possibilities of #Wikipeda (with @[email protected] and @rodrigocostas1).

One of the main results of this work is a comprehensive open dataset 🔓 of the English Wikipedia with many metrics of each page, other entities, and the relationships between all of them #opendata #openscience

 Paper: https://doi.org/10.1162/qss_a_00226

 Dataset: https://doi.org/10.5281/zenodo.6346899

Wikinformetrics: Construction and description of an open Wikipedia knowledge graph dataset for informetric purposes

Abstract. Wikipedia is one of the most visited websites in the world and is also a frequent subject of scientific research. However, the analytical possibilities of Wikipedia information have not yet been analyzed considering at the same time both a large volume of pages and attributes. The main objective of this work is to offer a methodological framework and an open knowledge graph for the informetric large-scale study of Wikipedia. Features of Wikipedia pages are compared with those of scientific publications to highlight the (di)similarities between the two types of documents. Based on this comparison, different analytical possibilities that Wikipedia and its various data sources offer are explored, ultimately offering a set of metrics meant to study Wikipedia from different analytical dimensions. In parallel, a complete dedicated dataset of the English Wikipedia was built (and shared) following a relational model. Finally, a descriptive case study is carried out on the English Wikipedia dataset to illustrate the analytical potential of the knowledge graph and its metrics.Peer Review. https://publons.com/publon/10.1162/qss_a_00226

MIT Press
Vandaag in De Volkskrant @vtraag @CWTS: de perikelen rond Twitter bieden een unieke kans om sociale media gezonder te maken.
De recente migratie van Twitter gebruikers naar #Mastodon opent mogelijkheden om onze sociale media gezonder te maken. Zonder centrale autoriteit die alles beslist, kunnen in dit #decentrale systeem individuele gemeenschappen zelf beslissen hoe die sociale media eruit zou moeten zien. Maar dat is niet genoeg, beargumenteer ik hier. https://www.volkskrant.nl/cs-bcc96a9d
Opinie: Grijp Twitterchaos aan om de regie op de sociale media terug te pakken

De migratie van Twitter naar het decentrale Mastodon biedt mogelijkheden voor een fundamenteel andere opzet van sociale media. Maar dan moeten maat...

de Volkskrant

Academics who are on GitHub, consider upvoting this excellent suggestion from @Edent (see link below).

The suggestion is to change the code used by ORCID's website to allow Mastodon verification links to be found. This would allow Mastodon users with an ORCID page to verify that they are the author of the publications listed on their ORCID page.

https://github.com/ORCID/ORCID-Source/issues/6668

#SciComm

rel="me" links are not rendered in the source code · Issue #6668 · ORCID/ORCID-Source

Websites like Mastodon, allow users to "verify" their profiles on other websites. For example, adding <a href="https://mastodon.example/@username" rel="me">Mastodon</a> to a website will let a craw...

GitHub
@bart Thanks very much Bart! And yeah, we'll look into how to name it for sure! thanks for the tip!