The journal is to launch with a big editorial and several diverse, high-quality papers over the next months
In summer 2019 IAVS decided to start a new, third association-owned journal, Vegetation Classification and Survey (VCS), next to Journal of Vegetation Science (JVS) and Applied Vegetation Science (AVS).
Vegetation Classification and Survey (VCS) is an international, peer-reviewed journal of plant community ecology published on behalf of the International Association for Vegetation Science (IAVS) together with its sister journals, Journal of Vegetation Science (JVS) and Applied Vegetation Science (AVS). It is devoted to vegetation survey and classification at any organizational and spatial scale and without restriction to certain methodological approaches.
The journal publishes originalpapers that develop new vegetation typologies as well as applied studies that use such typologies, for example, in vegetation mapping, ecosystem modelling, nature conservation, land use management or monitoring. Particularly encouraged are methodological studies that design and compare tools for vegetation classification and mapping, such as algorithms, databases and nomenclatural principles. Papers dealing with conceptual and theoretical bases of vegetation survey and classification are also welcome. While large-scale studies are preferred, regional studies will be considered when filling important knowledge gaps or presenting new methods. VCS also contains Permanent Collections on “Ecoinformatics” and “Phytosociological Nomenclature”.
VCS is published by the innovative publisher Pensoft as a gold open access journal. Thanks to support from IAVS, we can offer particularly attractive article processing charges (APCs) for submissions during the first two years. Moreover, there are significant reductions for IAVS members, members of the Editorial Team and authors from low-income countries or with other financial constraints (learn more about APCs here).
Non-conventional, yet pivotal research results: data, models, methods, software, data analytics pipelines and visualisation methods, related to the field of viticulture, find a place in a newly launched, open-access and peer-reviewed Viticulture Data Journal.
Non-conventional, yet pivotal research results: data, models, methods, software, data analytics pipelines and visualisation methods, related to the field of viticulture, find a place in a newly launched, open-access and peer-reviewed Viticulture Data Journal (VDJ). The journal went live with the publication of an introductory editorial and a data paper.
The publishing venue is one of the fruits borne during the collaboration between scholarly publisher and technology provider Pensoft, its self-developed ARPHA Platform and the EU project AGINFRA+, whose mission is to provide a sustainable channel and data infrastructure for the use of cooperating, but not fully connected user communities working within the agricultural and food sciences.
The novel journal brings together a wide range of topics related to the field of viticulture: from genetic research, food safety of viticultural products to climate change adaptation of grapevine varieties through grape specific research. Amongst these are:
Phenotyping and genotyping
Vine growth and development
Berry yield and composition
Genetic resources and breeding
Vine adaptation to climate change, abiotic and biotic stress
Rootstock and clonal evaluation
Effects of field practices (pruning, fertilization etc.) on vine growth and quality
Sustainable viticulture and environmental impact
Plant pathology, diseases and pests of grapevine
Microbiology and microbiological risk assessment
Food safety related to table grapes, raisins, wine, etc.
With the help of the ARPHA Platform’s signature writing tool, authors are able to use a set of pre-defined, yet flexible manuscript templates: Data Paper, Methods, Emerging Techniques, Applied Study, Software Description, R Package and Commentary. Furthermore, thanks to the advanced collaborative virtual environment provided by the tool, authors, but also reviewers, editors and other invited contributors enjoy the convenience of working within the same consolidated online file all the way from the authoring and peer review stages to copy editing and publication.
“The Viticulture Data Journal was created to respond to the major technological and sociological changes that have influenced the entire process of scholarly communication towards Open Science,”
explain the editors.
“The act of scientific publishing is actually the moment when the long effort of researchers comes to light and can be assessed and used by other researchers and the wider public. Therefore, it is little wonder that the main arena of transition from Open Access to Open Science was actually the field of academic publishing,”
The first research publication made available in VDJ is a data paper by the research team from Agricultural University of Athens: Dr Katerina Biniari, Ioannis Daskalakis, Despoina Bouza and Dr Maritina Stavrakaki. In their study, they assess and compare both the qualitative and quantitative characters of the grape cultivars ‘Mavrodafni’ and ‘Renio’, grown in different regions of the Protected Designation of Origin Mavrodafni Patras (Greece). The associated dataset, containing the mechanical properties, the polyphenolic content and the antioxidant capacity of skin extracts and must of berries of the two cultivars, is available to download as supplementary material from the article.
During the AGINFRA+ project, ARPHA has been extended to be used from the AGINFRA+ Virtual Research Environment (VRE), which would allow the authors to use the VRE as an additional gate to the AWT and the journal, as well as to benefit from the integration of AWT with several other services offered by the AGINFRA+ platform. The AGINFRA+ platform has been designed as a Gateway providing online access through a one-stop endpoint to services, aiming at the integration of the traditional narrative of research articles with their underlying data, software code and workflows.
The research discovery platform ScienceOpen and Pensoft Publishers have entered into a strategic collaboration partnership with the aim of strengthening the companies’ identities as the leaders of innovative content dissemination.
The research discovery platform ScienceOpen and Pensoft Publishers have entered into a strategic collaboration partnership with the aim of strengthening the companies’ identities as the leaders of innovative content dissemination. The new cooperation will focus on the unified indexation, the integration of Pensoft’s ARPHA Platform content into ScienceOpen and the utilization of novel streams of scientific communication for the published materials.
Pensoft is an independent academic publishing company, well known worldwide for bringing novelty through its cutting-edge publishing tools and for its commitment to open access practices. In 2013, Pensoft launched the first ever, end-to-end, XML-based, authoring, reviewing and publishing workflow, now upgraded to the ARPHA Publishing Platform. As of today, ARPHA hosts over 50 open access, peer-reviewed scholarly journals: the whole Pensoft portfolio in addition to titles owned by learned societies, university presses and research institutions.
As part of the strategic collaboration, all Pensoft content and journals hosted on ARPHA are indexed in the ScienceOpen’s research and discovery environment, which puts them into thematic context of over 60 million articles and books. In addition, thousands of articles across more than 20 journals were integrated into a “Pensoft Biodiversity” Collection. Combined this way, the content benefits from the special infrastructure of ScienceOpen Collections, which supports thematic groups of articles and books equipped with a unique landing page, a built-in search engine and an overview of the featured content. The Collections can be reviewed, recommended and shared by users, which facilitates academic debate and increases the discoverability of the research.
“It is certainly great news and a much-anticipated milestone for Pensoft, ARPHA and our long-year partners and supporters from ScienceOpen to have brought our collaboration to a new level by indexing the whole ARPHA-hosted content at ScienceOpen,” comments Pensoft’s and ARPHA’s CEO and founder Prof. Lyubomir Penev. “Most of all, the integration between ARPHA and ScienceOpen at an infrastructural level means that we will be able to offer this incredible service and increased visibility to newcoming journals right away. On the other hand, by streaming fresh and valuable publicly accessible content to the ScienceOpen database, these journals will be further adding to the growth of science in the open.”
Stephanie Dawson, CEO of ScienceOpen says, “I am particularly excited to add new high-quality, open access biodiversity content from Pensoft Publishers to the ScienceOpen discovery environment as we have a very active community of researchers on ScienceOpen creating and sharing Collections in this field. We are looking forward to working with Pensoft’s innovative journals to support their open science goals.”
The collaboration reflects not only the commitment of both Pensoft and ScienceOpen to new methods of knowledge dissemination, but also the joint mission to champion open science through innovation. The two companies will cooperate at a strategic level in order to increase the international outreach of their content and services, and to make them even more accessible to the broad community.
From promotional collections to Open Access hosting and full publishing packages, ScienceOpen provides next-generation services to academic publishers embedded in an interactive discovery platform. ScienceOpen was founded in 2013 in Berlin and Boston by Alexander Grossmann and Tibor Tscheke to accelerate research communication.
Based on our earlier post, we will now go through our latest updates and highlight the new features that have been added since then.
Repositories and data indexing platforms, such as GBIF, BOLD systems, iDigBio, or PlutoF, hold, among other types of data, specimen or occurrence records. It is now possible to directly import specimen or occurrence records into ARPHA taxonomic manuscripts from these platforms [see Fig. 1]. We’ll refer to specimen or occurrence records as simply occurrence records for the rest of this post.
Until now, when users of the ARPHA writing tool wanted to include occurrence records as materials in a manuscript, they would have had to format the occurrences as an Excel sheet that is uploaded to the Biodiversity Data Journal, or enter the data manually. While the “upload from Excel” approach significantly simplifies the process of importing materials, it still requires a transposition step – the data which is stored in a database needs to be reformatted to the specific Excel format. With the introduction of the new import feature, occurrence data that is stored at GBIF, BOLD systems, iDigBio, or PlutoF, can be directly inserted into the manuscript by simply entering a relevant record identifier.
The functionality shows up when one creates a new “Taxon treatment” in a taxonomic manuscript in the ARPHA Writing Tool. To import records, the author needs to:
Locate an occurrence record or records in one of the supported data portals;
Note the ID(s) of the records that ought to be imported into the manuscript (see Tips and Tricks for screenshots);
Enter the ID(s) of the occurrence record(s) in a form that is to be seen in the “Materials” section of the species treatment;
Select a particular database from a list, and then simply clicks ‘Add’ to import the occurrence directly into the manuscript.
In the case of BOLD Systems, the author may also select a given Barcode Identification Number (BIN; for a treatment of BIN’s read below), which then pulls all occurrences in the corresponding BIN.
We will illustrate this workflow by creating a fictitious treatment of the red moss, Sphagnum capillifolium, in a test manuscript. We have started a taxonomic manuscript in ARPHA and know that the occurrence records belonging to S. capillifolium can be found on iDigBio. What we need to do is to locate the ID of the occurrence record in the iDigBio webpage. In the case of iDigBio, the ARPHA system supports import via a Universally Unique Identifier (UUID). We have already created a treatment for S. capillifolium and clicked on the pencil to edit materials [Fig. 2].
In this example, type or paste the UUID (b9ff7774-4a5d-47af-a2ea-bdf3ecc78885), select the iDigBio source and click ‘Add’. This will pull the occurrence record for S. capillifolium from iDigBio and insert it as a material in the current paper [Fig. 3].
This workflow can be used for a number of purposes. An interesting future application is the rapid re-description of species, but even more exciting is the description of new species from BIN’s. BIN’s (Barcode Identification Numbers) delimit Operational Taxonomic Units (OTU’s), created algorithmically at BOLD Systems. If a taxonomist decides that an OTU is indeed a new species, then he/she can import all the type information associated with that OTU for the purposes of describing it as a new species.
Not having to retype or copy/paste species occurrence records, the authors save a lot of efforts. Moreover, they automatically import them in a structured Darwin Core format, which can easily be downloaded from the article text into structured data by anyone who needs the data for reuse.
Another important aspect of the workflow is that it will serve as a platform for peer-review, publication and curation of raw data, that is of unpublished individual data records coming from collections or observations stored at GBIF, BOLD, iDigBio and PlutoF. Taxonomists are used to publish only records of specimens they or their co-authors have personally studied. In a sense, the workflow will serve as a “cleaning filter” for portions of data that are passed through the publishing process. Thereafter, the published records can be used to curate raw data at collections, e.g. put correct identifications, assign newly described species names to specimens belonging to the respective BIN and so on.
The work has been partially supported by the EC-FP7 EU BON project (ENV 308454, Building the European Biodiversity Observation Network) and the ITN Horizon 2020 project BIG4 (Biosystematics, informatics and genomics of the big 4 insect groups: training tomorrow’s researchers and entrepreneurs), under Marie Sklodovska-Curie grant agreement No. 642241.