Global biodiversity loss is intensifying. But it is hard to assess progress towards the Aichi Biodiversity Targets for 2011–20 set by the Convention on Biological Diversity (CBD). Target 5, for instance, aims to halve global deforestation rates by 2020; but reliable indicators for deforestation that can be monitored remotely have not been developed or agreed on. National biodiversity monitoring programmes differ widely, most data sets are inconsistent, and few data are shared openly.

Read more on the topic in the original commentary article.

Data collection and analysis are at the core of modern research, and often take months or even years during which researchers remain uncredited for their contribution. A new plugin to a workflow previously developed by the Global Biodiversity Information Facility (GBIF) and Pensoft, and tested with datasets shared through GBIF and DataONE, now makes it possible to convert metadata into a manuscript for scholarly publications, with a click of a button.

Pensoft has currently implemented the feature for biodiversity, ecological and environmental data. Such records are either published through GBIF or deposited at DataONE, from where the associated metadata can be converted directly into data paper manuscripts within the ARPHA Writing Tool, where the authors may edit and finalize it in collaboration with co-authors and peers and submit it to the Biodiversity Data Journal (BDJ) with another click. Until now, the GBIF metadata have been exported into an RTF file. The new feature will be also part of future Pensoft projects, including the recently announced Research Ideas & Outcomes (RIO) Journaland the forthcoming Ecology and Sustainability Data Journal.

The concept of the data paper was introduced in the early 2000's by the Ecological Society of America in order to solve issues of handling big data and to make the metadata and the corresponding datasets discoverable and citable. It was then brought to the attention of the biodiversity community in 2011 as a result of a joint GBIF and Pensoft project and later implemented in the routine publishing process in all Pensoft journals.

Since then, Pensoft has been working with GBIF, and subsequently DataONE to automate the process of converting metadata into a human-readable data paper format. The novel workflow means that with only a couple of clicks, publishers of datasets on either GBIF, DataONE or any other portal storing metadata in the same format, may submit a manuscript for peer-review and open access citable publication in BDJ.

The process is simple, yet it brings a lot of benefits. Publishing data does not only mean a citable publication and, thus, credit to the authors and the repository itself, but it also provides the option to improve your work and collect opinion though peer-review. BDJ also shortens the distance between "narrative (text)" and "data" publishing.

"Metadata descriptions (e.g., data about the data) are of primary importance for data dissemination, sharing and re-use, as they give essential information on content, scope, purpose, fitness for use, authorship, usage rights, etc. to any potential user. Authoring detailed metadata in repositories can seem a tedious process, however DataONE users will now benefit from direct export of already created metadata into data paper manuscripts and have even better exposure of their work through discoverability mechanisms and scholarly citations," commented Dr Amber Budden, DataONE Director for Community Engagement and Outreach

"It is great to reap the fruits of a process that started back in 2010. The automated streamlining of biodiversity data between repositories and publisher is an elegant feature that makes publishing a data paper an easy and rewarding process to crown scientists data collection efforts and ensure its use and re-use," added Prof. Lyubomir Penev, Managing Director of Pensoft.

More detailed information on how data authors could use the workflow can be found on the Pensoft blog.

References:

Chavan V, Penev L (2011) The data paper: a mechanism to incentivize data publishing in biodiversity science. BMC Bioinformatics. 12(Suppl 15):S2. DOI: 10.1186/1471-2105-12-S15-S2

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. 542241.

The Faculty of Geo-Information Science and Earth Observation (ITC) at the University of Twente has recently launched an investment programme to strengthen its international academic fields. For 11 pioneering-multidisciplinairy projects a PhD-position is made available, three of them already are filled in. The Department of Natural Resources (NRS) specialises in advanced spatial and temporal analysis and technique development for the environment as well as sustainable agriculture.

Job Description: 

For more information visit the official job offer.

A new EU BON acknowledged article looks at the recently introduced in scientific literature methods for constructing Spatially Explicit Rarefaction (SER) and their implication for ecologists and conservation biologist. The research was published in the journal Ecological Indicators.

Abstract: 

Recently, methods for constructing Spatially Explicit Rarefaction (SER) curves have been introduced in the scientific literature to describe the relation between the recorded species richness and sampling effort and taking into account for the spatial autocorrelation in the data. Despite these methodological advances, the use of SERs has not become routine and ecologists continue to use rarefaction methods that are not spatially explicit. Using two study cases from Italian vegetation surveys, we demonstrate that classic rarefaction methods that do not account for spatial structure can produce inaccurate results. Furthermore, our goal in this paper is to demonstrate how SERs can overcome the problem of spatial autocorrelation in the analysis of plant or animal communities. Our analyses demonstrate that using a spatially-explicit method for constructing rarefaction curves can substantially alter estimates of relative species richness. For both analyzed data sets, we found that the rank ordering of standardized species richness estimates was reversed between the two methods. We strongly advise the use of Spatially Explicit Rarefaction methods when analyzing biodiversity: the inclusion of spatial autocorrelation into rarefaction analyses can substantially alter conclusions and change the way we might prioritize or manage nature reserves.

Original Source: 

Bacaro, G., Altobelli, A., Camelletti, M., Ciccarelli, D., Martellos, S., Palmer, M.W., Ricotta, C., Rocchini, D., Scheiner, S.M., Tordoni, E., Chiarucci, A. (2016). Incorporating spatial autocorrelation in rarefaction methods: implications for ecologists and conservation biologists. Ecological Indicators, 69: 233-238. [5years-IF: 3.494] doi: http://dx.doi.org/10.1016/j.ecolind.2016.04.026

Continuing the successful mission of previous MTSR Conferences (MTSR'05, MTSR'07, MTSR'09, MTSR'10, MTSR'11 and MTSR’12), the seventh International Conference on Metadata and Semantics Research (MTSR'13) aims to bring together scholars and practitioners that share a common interest in the interdisciplinary field of metadata, linked data and ontologies. Participants will share novel knowledge and best practice in the implementation of these semantic technologies across diverse types of Information Environments and applications. These include Cultural Informatics; Open Access Repositories & Digital Libraries; E-learning applications; Search Engine Optimisation & Information Retrieval; Research Information Systems and Infrastructures; e-Science and e-Social Science applications; Agriculture, Food and Environment; Bio-Health & Medical Information Systems. 

• Meet and get to know fellow projects working on similar topics of relevance to ASEAN
• Discuss results and synergies, exchange on methodologies, plan for joint events, applications, publications, etc. or simply see what's going on in the other region in this topic.
• Plan concrete next joint steps with projects in the cluster.
• Benefit from SUSTAIN EU-ASEAN support (e.g. in your dissemination, exploitation and development activities) and inputs (on the funding environment)
• Share your views on thematic gaps in current research - SUSTAIN is mandated to carry the message to the European Commission

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