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      Adoption of the Citation Typing Ontology by the Journal of Cheminformatics

      editorial
       
      Journal of Cheminformatics
      Springer International Publishing

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          Abstract

          As authors, we cite literature for many reasons. The reasons are normally positive: it supports a statement we make in our article, the new work extends earlier ideas, or the cited paper outlines a method or a dataset we use. Sometimes, however, we cite an article differently, such as when we disagree with the conclusions from that article. Citations help us find more information about a concept and allow individual journal article to focus on the new content. Furthermore, they position the new work in its historical context and citation analyses can point us to research topics we would otherwise not have thought of [1]. Of course, citations have found additional uses that stem from the idea that articles that are cited a lot may be important. If we assume that all citations to an article are positive, this is a logical conclusion. However, citations are not always positive. We can cite an article because we disagree with the statements. For example, a 2011 paper in Science about the possible inclusion of arsenate ions in DNA has seen mostly disagreeing citations [2]. Then the article is important for a different reason. This was picked up 10 years ago, when Shotton et al. published an ontology that formalizes a hierarchy of reasons: the Citation Typing Ontology (CiTO, purl.org/spar/cito) [3]. This ontology defines a citation as the act of citing some article. That allows one to make statements about the citation, in a machine readable way. Using the CiTO we can say the citation is neutral (cito:citesAsAuthority), positive (cito:confirms), or negative (cito:disagreesWith). The ontology also allows us to indicate reuse of methods and software (cito:usesMethodIn) and data (cito:usesDataFrom). This, of course, is closely related to recent efforts in data citation [4] and software citation [5]. The adoption of the CiTO, however, has so far not been wide in publishing. CiteULike [6] was one of the first tools that had support [7]. It allowed users to create citations with CiTO typing (see Fig. 1). Fig. 1 Screenshot of CiteUlike showing the citation between two articles and that the reason is that the citing article uses the method proposed in the cite article (cito:usesMethodIn) Adopting the CiTO If the past 10 years has shown anything, it is that the activity of scholarly communication via journal articles is not easily changed. Whether it is widespread adoption of data repository, minimal reporting standards, or freely sharing citations, the interest may be there, but the uptake is slow. The OpenCitations project [8, 9] and Initiative for Open Citations [10] show how hard it is to change the momentum. And while CiteULike introduced support for the CiTO, other references managers have not (yet). A chicken-and-egg situation may be an underlying issue: if there are no providers of CiTO annotation, why should tools that work with citations use it? And at the same time, if there is no use of it, why invest effort to provide such annotation. However, the Journal of Cheminformatics considers adoption important. For example, we may want to learn what articles are using a method proposed in some article. We may want to see how data is reused, or we may want to get warned that we are citing an article that has been refuted repeatedly. Therefore, we are starting a pilot to roll out CiTO annotation in the Journal of Cheminformatics. We take advantage here of the ability to add notes to full form (see [3]) references in bibliographies. These are referred to as bibnotes. The content of the note will be strictly formatted: it will use the syntax [ cito:usesMethodIn ] and formatted in bold. That is, the bibnote starts with the [ character, followed by one of the CiTO types, and ending with the ] character. If you wish to provide more than one annotation, you can repeat this syntax, separated by one or more spaces, for example: [ cito:usesMethodIn ] [ cito:citeAsAuthority ]. By using this specific syntax, we introduce a level of machine readability such that this annotation can be extracted with text mining approaches and used by downstream citation projects. These bibnotes can be used to overwrite the default cito:cites. We currently encourage authors interested in participating in this pilot to use the following CiTO types: cito:citesAsDataSource when you use data in your paper from the cited source, cito:usesMethodIn when you use a method from the cites source, cito:citesAsAuthority for articles that you cite as authorative works in the field, cito:discusses when you discuss the content of the cited article, and cito:extends when your article describes a new release of software or database described in the cited article. However, you are free to use any of the other CiTO types, including cito:agreesWith and cito:disagreesWith. We also plan to adopt this approach for comments (cito:repliesTo) and errata/corrigenda/corrections (cito:updates). These annotations will be handled at an editorial level. With this pilot we hope to trigger further adoption of approaches like CiTO. We plan to use this information in WikiCite [11] and Scholia [12] to demonstrate downstream use, but hope that projects like OpenCitations and SciGraph (www.springernature.com/gp/researchers/scigraph) will pick it up too. During the pilot, we will also develop practical guidance on how to use reference managers and type setting tools like Microsoft Word and LaTeX can be used to add these annotations. Let this be the egg or chicken (depending on your philosophy), we are looking to innovate how we cite our literature.

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          A bacterium that can grow by using arsenic instead of phosphorus.

          Life is mostly composed of the elements carbon, hydrogen, nitrogen, oxygen, sulfur, and phosphorus. Although these six elements make up nucleic acids, proteins, and lipids and thus the bulk of living matter, it is theoretically possible that some other elements in the periodic table could serve the same functions. Here, we describe a bacterium, strain GFAJ-1 of the Halomonadaceae, isolated from Mono Lake, California, that is able to substitute arsenic for phosphorus to sustain its growth. Our data show evidence for arsenate in macromolecules that normally contain phosphate, most notably nucleic acids and proteins. Exchange of one of the major bio-elements may have profound evolutionary and geochemical importance.
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            Software citation principles

            Software is a critical part of modern research and yet there is little support across the scholarly ecosystem for its acknowledgement and citation. Inspired by the activities of the FORCE11 working group focused on data citation, this document summarizes the recommendations of the FORCE11 Software Citation Working Group and its activities between June 2015 and April 2016. Based on a review of existing community practices, the goal of the working group was to produce a consolidated set of citation principles that may encourage broad adoption of a consistent policy for software citation across disciplines and venues. Our work is presented here as a set of software citation principles, a discussion of the motivations for developing the principles, reviews of existing community practice, and a discussion of the requirements these principles would place upon different stakeholders. Working examples and possible technical solutions for how these principles can be implemented will be discussed in a separate paper.
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              FaBiO and CiTO: Ontologies for describing bibliographic resources and citations

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                Author and article information

                Contributors
                egon.willighagen@maastrichtuniversity.nl
                Journal
                J Cheminform
                J Cheminform
                Journal of Cheminformatics
                Springer International Publishing (Cham )
                1758-2946
                28 July 2020
                28 July 2020
                2020
                : 12
                : 47
                Affiliations
                GRID grid.5012.6, ISNI 0000 0001 0481 6099, Dept of Bioinformatics-BiGCaT, NUTRIM, , Maastricht University, ; Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
                Author information
                https://orcid.org/0000-0001-7542-0286
                Article
                448
                10.1186/s13321-020-00448-1
                7385899
                33430994
                1d129d12-7516-4740-88f4-ed5945e6897c
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 29 June 2020
                : 30 June 2020
                Categories
                Editorial
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                © The Author(s) 2020

                Chemoinformatics
                Chemoinformatics

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