Google's John Mueller said that some SEOs over focus on URL structure and that if your context from your pages aren't clear, then no URL structure can fix that.

John wrote on LinkedIn:

Often SEOs over-focus on URL structure (imo) -- if the context of your pages isn't clear from the ... text on the page, then the URL structure isn't really going to fix that.

What advice did he give for URL structure for SEO?

• Avoid making unnecessary URL structure changes (because changes will affect SEO at least temporarily, it takes time for search engines to recrawl & reprocess all affected pages), pick something that can last for a long time
• Primarily think about users & about how you want to track performance (URL structures are great for grouping URLs for analytics, conversion rates, etc. -- not directly SEO, but for monitoring how well SEO is working for you).

John added, "Anyway, Google generally (*) wouldn't care. Make a useful structure. Make it easy for you to monitor. Make it helpful for users, if you want (do people even look at URLs? I assume most users don't nowadays.)"

When does structure of your URLs matter? When you have adult content on portions of your site (we covered this before). John said on LinkedIn, "(*) the "generally" ... an exception that I can think of is if an affected part of the site is treated significantly different than the rest of the site. For example, if that folder is where all of the safe-search filtered content is located, then moving it around can make it harder for the safe-search system to understand your new site structure. I don't think that's something most sites need to consider, but it's helpful if you're looking for an "it depends"."

Google has often recommended not to change URLs for SEO purposes, here is our past coverage:

• Google Really Wants You To Avoid Changing URLs Just For SEO Reasons
• Google: Avoid Change URLs Unless You Really Have To
• Google: Don't Change Your URLs For SEO Purposes
• Google: Don't Change URLs When Replacing Old Content With New Content

Forum discussion at LinkedIn.

Rita discusses ways that we can create structure in our lives for silence and prayer.

a useful case study given the current debacle stemming from WordPress's "benevolent dictator for life" model #

Fr. Pat discusses the meaning of moral realism, the radical mercy of God, and Christ and His Cross.

Every summer, my brothers and sisters, in either late June or early July we listen to the first ten verses of Romans 10. This text appears near the middle of Paul's analysis of the dialectical structure of history, which is the subject of Romans 9-11.

Fr. Pat explores the question, "What makes something evil?”

(screenshots) An official statement from Google says the site was designed to "provide content owners an easy way to give us access to their content". (more screenshots)

Meander your way across a dock.

In 2022, Google expanded support for Product structured data, enabling enhanced product experiences in Google Search. Then, in 2023 we added support for shipping and returns structured data. Today, we are adding structured data support for Product variants, allowing merchants to easily show more variations of the products they sell, and show shoppers more relevant, helpful results. Providing variant structured data will also complement and enhance merchant center feeds, including automated feeds.

In this paper we present an approach to improving navigability of a hierarchically structured Web content. The approach is based on an integration of a tagging module and adoption of tag clouds as a navigational aid for such content. The main idea of this approach is to apply tagging for the purpose of a better highlighting of cross-references between information items across the hierarchy. Although in principle tag clouds have the potential to support efficient navigation in tagging systems, recent research identified a number of limitations. In particular, applying tag clouds within pragmatic limits of a typical user interface leads to poor navigational performance as tag clouds are vulnerable to a so-called pagination effect. In this paper, a solution to the pagination problem is discussed, implemented as a part of an Austrian online encyclopedia called Austria-Forum, and analyzed. In addition, a simulation-based evaluation of the new algorithm has been conducted. The first evaluation results are quite promising, as the efficient navigational properties are restored.

DeFog is an innovative microservice placement and load balancing approach for distributed multi-cluster cloud-fog-edge architectures to minimise application response times. The architecture is modelled as a three-layered hierarchy. Each layer consists of one or more clusters of machines, with resource constraints increasing towards lower layers. Applications are modelled as service oriented architectures (SOA) comprising multiple interconnected microservices. As many applications can be run simultaneously, and as the resources of the edge and the fog are limited, choosing among services to run on the edge or the fog is the problem this work is dealing with. DeFog focuses on dynamic (i.e., adaptive) decentralised service placement within each cluster with zero downtime, eliminating the need for coordination between clusters. To assess the effectiveness of DeFog, two realistic applications based on microservices are deployed, and several placement policies are tested to select the one that reduces application latency. Least frequently used (LFU) is the reference service placement strategy. The experimental results reveal that a replacement policy that uses individual microservice latency as the crucial factor affecting service placement outperformed LFU by at least 10% in application response time.

Aim/Purpose: The purpose of this article is to provide an overview and analysis of the emerging research landscape surrounding the integration of ChatGPT into education. The main problem appears to be that this is a new, rapidly developing research area for which there is no comprehensive synthesis of the current literature. The aim of the article is to fill this gap by conducting a timely bibliometric study to map publication trends, influential works, themes, and opportunities, thus representing the growth and structure of ChatGPT educational research. Background: This article addresses the issue of the lack of a comprehensive synthesis of the new research on ChatGPT in education by conducting a bibliometric analysis. Specifically, the authors use statistical and network analysis techniques to examine the patterns of publication, citation, and keywords and map the growth, contributions, themes, structure, and opportunities in this evolving field. The bibliometric approach provides a comprehensive, evidence-based overview of the current state of the literature to uncover trends and gaps and help researchers improve their understanding of appropriate and effective applications of ChatGPT in educational contexts. Methodology: The authors used bibliometric analysis as the primary method to summarize the new research on ChatGPT in education. We searched the database of the Web of Science Core Collection to find 51 relevant documents from 2023 that included ChatGPT in the title and were classified as ‘educational research.’ The sample consisted of these 51 documents, including articles, early access articles, editorials, reviews, and letters. Statistical techniques examined publication, citation, and keyword patterns. Network analysis visualized citation and co-occurrence networks to reveal intellectual structure. The multifaceted bibliometric approach allowed a comprehensive study of the sample from a productive, conceptual, and intellectual perspective. Contribution: This article conducts comprehensive bibliometric analysis of this emerging research area and synthesizes publication, citation, and keyword data to map the growth and structure of the literature. The results reveal important trends, such as the rapid growth of publications since the release of ChatGPT, initial authorship patterns, the focus on higher education applications, and distinct research clusters around pedagogical, ethical, and assessment issues. Visualizing citation networks identifies seminal studies while mapping co-occurrence clarifies conceptual relationships between topics. The comparative analysis highlights the differences between document types, topics, and time periods. Knowledge mapping highlights gaps in the literature, such as lack of focus on K-12 contexts, and highlights opportunities for further research. Findings: Key findings from this bibliometric analysis of the emerging research land-scape surrounding ChatGPT integration in education include the following: • Since ChatGPT was released in late 2022, the number of releases has increased significantly, indicating rapid growth in this emerging space. • The most cited authors initially came primarily from Anthropic, but over time, the citations spread throughout the research community. • The topics focused primarily on higher education applications, with a clear focus on pedagogical strategies, ethical risks, and implications for assessment. • Citation networks visualized seminal studies, while the co-occurrence of keywords clarified conceptual connections. • Gaps such as applications in the K-12 context were uncovered, and opportunities for further research were highlighted. • The literature is rapidly evolving and requires ongoing monitoring of the development of this field. In general, the analysis presents the productivity, contributors, themes, struc-ture, and opportunities in this emerging area around the integration of ChatGPT in education based on current scientific evidence. The key findings focus on the growing early interest, gaps and developments that can provide insight for researchers and educators. Recommendations for Practitioners: Practitioners should carefully integrate ChatGPT into education based on new evidence, carefully assess contextual applicability, and proactively develop guidelines for ethical and equitable implementation. Ongoing advice, impact monitoring, and research partnerships are crucial to informing best practices. Educators must be vigilant for risks such as privacy, student well-being, and competence impairment while staying abreast of advances in knowledge to dynamically adapt integration strategies. The introduction should empower diverse learners through measured, integrative approaches based on continuous contextual analysis and ethical principles. Recommendation for Researchers: This article recommends that researchers conduct more studies in under-researched contexts, use multiple methods to capture nuanced impacts, increase focus on responsible integration strategies, develop tailored assessments, conduct interdisciplinary collaborations, monitor long-term adoption, mix with interactive explain and publish open access technologies, help guide adoption pathways through actionable studies, and synthesize the exponentially growing literature through updated systematic reviews. Impact on Society: The rapid publication growth and prevailing optimism suggest that the integration of ChatGPT into education will accelerate, increasing the need for rigorous research that guides ethical, responsible innovations that avoid risks and improve outcomes in all educational contexts. The findings have broader implications for guiding adoption trajectories through ongoing evidence synthesis and expanded investigations in under-researched areas to address knowledge gaps. Ultimately, continued monitoring and updated guidance are critical to ensure that ChatGPT’s educational penetration progresses carefully by maximizing benefits and minimizing harms in rapidly evolving AI-powered learning ecosystems. Future Research: Based on the basic mapping provided by this paper, recommended research directions include longitudinal impact studies, research tailored to under-researched contexts such as K-12, qualitative research to capture stakeholder perspectives, development and testing of AI-calibrated assessments as well as explorations that combine conversational and interactive learning technologies, updated systematic reviews, and co-designed implementation research that explain pedagogical strategies that ethically unlock learning potential while mitigating risks in diverse educational environments. Such multilayered tracking can provide critical insights to guide context-specific, responsible ChatGPT integration and monitor impact within rapidly evolving AI-powered education ecosystems.

In this paper, we describe our recent work in using cloud computing to provision digital library services. We consider our original and current motivations, technical details of our implementation, the path we took, and our future work and lessons learned. We also compare our work with other digital library cloud efforts.

This paper reports on research with a broad objective to examine the relationship between two organizational entities, the formally structured organization and informal organizational structures, in a changing operational environment, more specifically during military deployments. The paper draws on organizational and complexity paradigms; based on empirical evidence obtained through qualitative techniques, it describes mechanisms that enable a symbiotic relationship between these two organizational structures in a complex operational landscape. Substantive findings provide insights into the dynamics of the interactions between these structures and illuminate the relationship between three enabling factors – accountability, responsible autonomy, and command and control arrangements – that need to be considered to fully exploit the strengths inherent in both formal and informal structures. Based on these findings, a model for enhancement of organizational agility in response to changes in a complex operational environment is described. The model is predicated on feedback and mutual adjustment of the organization, institution and individual through sensemaking; it illustrates the dynamic nature of interactions that are required for such a response.

Aim/Purpose: The objective of this study was to assess the interrelationships among knowledge management infrastructure, knowledge management process, intellectual capital, and organization performance. Background: Although knowledge management capability is extensively used by organizations, reaching their maximum financial and non-financial performances has not been fully researched. Therefore, organizations need to optimize their performance by exploiting knowledge management capability through the accumulation of intellectual capital, where the new competitiveness is shifting from tangible to intangible resources. Methodology: This study adopted a positivist philosophy and deductive approach to accomplish the main goal of this research. Moreover, this research employed a quantitative approach since this study is concerned with causal relationship between variables. A questionnaire-based survey was designed to evaluate the research model using a convenience sample of 134 employees from the food industry sector in Jordan. Surveyed data was examined following the structural equation modeling procedures. Contribution: This study highlighted the potential benefits of applying the knowledge management capabilities, intellectual capital, and organizational performance to the food industrial sector in Jordan. Future research suggestions are also provided. Findings: Results indicated that knowledge management infrastructure had a positive effect on knowledge management process. In addition, knowledge management process impacted positively intellectual capital and organization performance and mediated the relationship between knowledge management infrastructure and intellectual capital. However, knowledge management infrastructure did not positively associate to organization performance. Recommendations for Practitioners: The current model is designed to help managers and decision makers to improve their management capabilities as well as their organization financial and non-financial performance through exploiting the organizational knowledge management infrastructure and intellectual capital approaches. Recommendation for Researchers: Our findings can be used as a base of knowledge to conduct further studies about knowledge management capabilities, intellectual capital, and organization performance following different criteria and research procedures. Impact on Society: The designed model highlights a significant organizational performance approach that can influence Jordanian food industrial sector positively. Future Research: The current designed research model can be applied and assessed further in other sectors including banking and industrial sectors across developed and developing countries. Also, we suggest that in addition to focusing on knowledge management process and intellectual capital as mediating variables, future research could test our findings in a longitudinal study and examine how to affect financial and non-financial performance.

Aim/Purpose: This research aims to examine the role of Knowledge Management (KM) infrastructure (technological, structural, and cultural) in enhancing job satisfaction in the context of developing countries, as exemplified by Jordan. Background: Despite the presence of job satisfaction studies conducted in educational institutions across the world, knowledge management issues have not been taken into consideration as influencing factors. Methodology: A total of 168 responses to a questionnaire survey were collected from the academic staff at Zarqa University in Jordan. Multiple regression analysis was conducted to test the research hypotheses. Contribution: This study offers deeper understanding about the role that knowledge management infrastructure plays in enhancing job satisfaction from a developing country perspective. The proposed model is tested the first time in Jordan. Findings: Results of the current study revealed that there are significant positive impacts of technological and cultural KM infrastructures on job satisfaction, whereas structural KM infrastructure does not have a significant impact on job satisfaction. Also, the results revealed significant gender difference in perception of the impact of knowledge management infrastructure on job satisfaction. On the other hand, an ANOVA test found no significant difference in the impact of knowledge management infrastructure on job satisfaction among groups by age, experience, and academic rank. Recommendation for Researchers: Our findings can be used as a base of knowledge for further studies about knowledge management infrastructure and job satisfaction following different criteria and research procedures. Future Research: The current model can be applied and assessed further in other sectors, including public universities and other services sectors in developed and developing countries.

Aim/Purpose: The purpose of this study is to investigate the mechanism of the front/back-office structure affecting new service development (NSD) performance and examine the role of knowledge transfer in the relationship between front/back-office structure and NSD. Background: The separation of front and back-office has become the prevailing trend of the organizational transformation of modern service enterprises in the digital era. Yet, the influence of front and back-office separation dealing with new service development has not been widely researched. Methodology: Building on the internal social capital perspective, a multivariate regression analysis was conducted to investigate the impact of front/back-office structure on the NSD performance through knowledge transfer as an intermediate variable. The data was collected through a survey questionnaire from 198 project-level officers in the commercial banking industry of China. Contribution: This study advances the understanding of front/back-office structure’s influence mechanism on new service development activity. It reveals that knowledge transfer plays a critical role in bridging the impact of front and back-office separation to NSD performance under the trend of digitalization of service organizations. Findings: This study verified the positive effects of front/back-office social capital on NSD performance. Moreover, knowledge transfer predicted the variation in NSD performance and fully mediated the effect of front/back-office social capital on NSD performance. Recommendations for Practitioners: Service organizations should optimize knowledge transfer by promoting the social capital between front and back-office to overcome the negative effect organizational separation brings to NSD. Service and other organizations could explore developing an internal social network management platform, by which the internal social network could be visualized and dynamically managed. Recommendation for Researchers: The introduction of information and communications technology not only divides the organization into front and back-office, but also reduces the face-to-face customer contact. The impacts of new forms of customer contact to new service development and knowledge transfer between customer and service organizations call for further research. Along with the digital servitization, some manufacturing organizations also separate front and back-offices. The current model can be applied and assessed further in manufacturing and other service sectors. Impact on Society: The conclusion of this study guides us to pay attention to the construction of social capital inside organizations with front/back-office structure and implicates introducing and developing sociotechnical theory in front/back-office issue undergoing technological revolution. Future Research: As this study is based on the retail banking industry, similar studies are called upon in other service sectors to identify differences and draw more general conclusions. In addition, as the front and back-offices are being replaced increasingly by information technology such as artificial intelligence (AI), it is necessary to advance the research on front/back-office research with a new theoretical perspective, such as sociotechnical theory.

DSSP stands as a foundational tool in the domain of protein secondary structure prediction, yet it encounters notable challenges in accurately annotating irregular structures, such as β-turns and γ-turns, which constitute approximately 25%-30% and 10%-15% of protein turns, respectively. This limitation arises from DSSP's reliance on hydrogen-bond analysis, resulting in annotation gaps and reduced consensus on irregular structures. Alternatively, PROMOTIF excels at identifying these irregular structure annotations using phi-psi information. Despite their complementary strengths, previous methodologies utilised DSSP and PROMOTIF separately, leading to disparate prediction methods for protein secondary structures, hampering comprehensive structure analysis crucial for drug development. In this work, we bridge this gap using an annotation fusion approach, combining DSSP structures with beta, and gamma turns. We introduce IRNN-SS, a model employing deep inception and bidirectional gated recurrent neural networks, achieving 77.4% prediction accuracy on benchmark datasets, outpacing current models.

This study investigates cross-border commercial air passenger traffic in Africa, focusing on the development of the 15 busiest country pairs during the period 1989 to 2015. It explores dimensions not previously studied by using ICAO's 'Traffic by Flight Stage' (TFS) and data from the CEPII Gravity Dataset. The spatial results show on an uneven geographical distribution of country pairs with the centre of gravity to South, East and North-East Africa, with one long-distance corridor between Egypt and South Africa. Countries in North and West Africa have rather few linkages, except for Egypt. Central African countries are not represented among the 15 country pairs. Although the number of passengers and the rank among the countries have shifted, South Africa and Egypt stand out, as having most country pair connections. Factors such as changing economic, diplomatic and political relations have had an influence on changing country pair connections throughout the period. A number of variables were selected to investigate how they correlated with Africa's commercial passenger traffic. Of the seven variables selected, five did show on a correlation and two did partly so. In that view, Africa's air traffic follows rather typical patterns.

Yuan LI,Tingting HU,Ryuji FUCHIKAMI,Takeshi IKENAGA, Vol.E107-D, No.11, pp.1396-1407
1 millisecond (1-ms) vision systems are gaining increasing attention in diverse fields like factory automation and robotics, as the ultra-low delay ensures seamless and timely responses. Superpixel segmentation is a pivotal preprocessing to reduce the number of image primitives for subsequent processing. Recently, there has been a growing emphasis on leveraging deep network-based algorithms to pursue superior performance and better integration into other deep network tasks. Superpixel Sampling Network (SSN) employs a deep network for feature generation and employs differentiable SLIC for superpixel generation. SSN achieves high performance with a small number of parameters. However, implementing SSN on FPGAs for ultra-low delay faces challenges due to the final layer’s aggregation of intermediate results. To address this limitation, this paper proposes an aggregated to pipelined structure for FPGA implementation. The final layer is decomposed into individual final layers for each intermediate result. This architectural adjustment eliminates the need for memory to store intermediate results. Concurrently, the proposed structure leverages decomposed layers to facilitate a pipelined structure with pixel streaming input to achieve ultra-low latency. To cooperate with the pipelined structure, layer-partitioned memory architecture is proposed. Each final layer has dedicated memory for storing superpixel center information, allowing values to be read and calculated from memory without conflicts. Calculation results of each final layer are accumulated, and the result of each pixel is obtained as the stream reaches the last layer. Evaluation results demonstrate that boundary recall and under-segmentation error remain comparable to SSN, with an average label consistency improvement of 0.035 over SSN. From a hardware performance perspective, the proposed system processes 1000 FPS images with a delay of 0.947 ms/frame.
Publication Date: 2024/11/01

A semantically rich framework to enable real-time knowledge extraction from short length semi-structured documents Lavana Elluri 10:30-11:30 Monday, 4 November 2019, ITE346 Knowledge is currently maintained as a large volume of unstructured text data in books, laws, regulations and policies, news and social media, academic and scientific reports, conversation and correspondence, etc. Most of these […]

The post TALK: Real-time knowledge extraction from short semi-structured documents appeared first on UMBC ebiquity.

There is a growing consensus that cooperative goal structures are more effective at motivating groups than competitive goal structures. However, such results are based largely on studies conducted in highly-controlled settings where participants were provided with the necessary resources to accomplish their assigned task. In an attempt to extend the boundary conditions of current theoretical predictions, we undertook a field experiment within a base-of-the-pyramid setting where resource scarcity is extremely high. Specifically, we collected data on 44 communities within rural Sri Lanka who were tasked with contributing a portion of their resources to the construction of a school building; 24 were assigned to a competition condition and 20 to a cooperation condition. The results of our field experiment, and subsequent follow-up interviews and focus groups, collectively suggest that competitive goal structures generally lead to higher levels of motivation within a resource scarce environment. However, our results also suggest that cooperative goal structures can be highly motivating when groups are unfamiliar with one another, as cooperating with unfamiliar groups can provide access to valuable and rare knowledge within such settings.

Research suggests that the structure of trainee reactions is captured with as few as one or as many as eleven dimensions. It is commonly understood that reactions contain both affective and cognitive components. To date, however, training research focuses largely on affective reactions that range from pleasant to unpleasant (i.e., valence). Here, we expand and further refine the construct of affective trainee reactions by including reactions that are more and less activating versions of pleasantness (e.g., excitement and calm, respectively) and unpleasantness (e.g., stress and boredom, respectively). We develop and validate a new measure based on this model and argue that the structure of affective reactions has implications for better understanding learning and course reputation outcomes. Results from a short online training indicate that reactions were best explained by four factors: pleasant activation (e.g., excitement), pleasant deactivation (e.g., calm), unpleasant activation (e.g., stress), and unpleasant deactivation (e.g., boredom). The relationships between these reactions and training outcomes suggest what is most beneficial for course reputation outcomes (i.e., pleasant activating reactions) may not benefit learning; what is most beneficial for learning (i.e., pleasant deactivating reactions) may benefit course reputation outcomes but slightly less so.

Funding had earlier been approved for private foundation's project by using taxpayers' money

The European Commission adopted a new strategy for encouraging the use of green infrastructure, and for ensuring that the enhancement of natural processes becomes a systematic part of spatial planning. Green Infrastructure is a tried and tested tool that uses nature to provide ecological, economic and social benefits. Instead of building flood protection infrastructure, for example, a green infrastructure solution would be to allow a natural wetland to absorb the excess water from heavy rain.

Green infrastructure is often cheaper and more durable than alternatives provided through conventional civil engineering. Biodiversity-rich parks, green spaces and fresh air corridors can for example mitigate the negative effects of summer heat waves. In addition to the health and environmental benefits, green infrastructure also brings multiple social benefits: it creates jobs and makes cities more appealing places to live and work. And it allows for wildlife to thrive, even in an urban context.

Environment Commissioner Janez Potočnik said: "Building green infrastructure is often a good investment for nature, for the economy and for jobs. We should provide society with solutions that work with nature instead of against it, where that makes economic and environmental sense."

More about the EC Green Infrastructure here: http://ec.europa.eu/environment/nature/ecosystems/index_en.htm

The latest issue of ZooKeys - no. 346 - has been automatically registered in ZooBank on its day of publication last Friday. This marks the successful deployment of an automated registration-to-publication pipeline for taxonomic names for animals. The innovative workflow was jointly funded by the EU FP7 funded project pro-iBiosphere and a U.S. National Science Foundation project to develop the Global Names Architecture (DBI-1062441).

The process of post-publication recording and indexing of species names has a long tradition, in some cases dating as far back as the middle of 19th century. But now in the 21st century with the advance of modern technologies and the opportunity to publish taxonomic novelties online, the process of post-publication recording brought into focus the concept of automated pre-publication registration.

Why is this important? The proportion of 'turbo-taxonomic' papers describing hundreds of new species increases. Registration of hundreds of new species is an issue, however it is even more important that the final publication data of the pre-registered names are reported back to ZooBank on the day of publication.

Launched as an open access peer reviewed journal in 2008, to coincide and adopt from inception the International Code of Zoological Nomenclature changes for electronic publications, ZooKeys was the first journal to provide a mandatory in-house registration in ZooBank. Since 2008, it has contributed about one third of all names currently registered in ZooBank. With the adoption of the automated ZooBank registration, ZooKeys continues its mission to set novel trends in biodiversity publishing.

Implementation of automated workflows and invention of XML-based tools will facilitate the process of publication and dissemination of biodiversity information. It will pave the way for unification and streamlining the registration process, even more to building the next-generation e-infrastructure for a common global taxon names registry. Within the pro-iBiosphere project and in cooperation with Plazi that have created the TaxPub XML schema, an automated registration workflow for plants has already been established between the International Plant Names Index (IPNI) and the PhytoKeys journal, to be applied soon also for fungi between Index Fungorum and the journal MycoKeys.

The GEOSS Architecture Implementation Pilot (AIP) develops and deploys new process and infrastructure components for the GEOSS Common Infrastructure (GCI) and the broader GEOSS architecture.

To present the GCI an "Introduction to the GEOSS Common Infrastructure (GCI)" virtual workshop will be held today 21 May 2013 at 14:00 UTC.

Virtual meeting details: https://www4.gotomeeting.com/join/628333311

Looked down on with scepticism by many taxonomists, handling big data efficiently is a huge challenge that can only be met with thorough and multi-layered efforts from both scientists and technological developers. Projects like the Pan-European Species-directories Infrastructure (PESI), started in 2009, prove that harmonised taxonomic reference systems and high-quality data sets are possible through dynamic, expertly created and managed online tools. The methods, results and future prospects of PESI are available in the open access Biodiversity Data Journal.

With environmental changes occurring at an unprecedented rate around the world, biological communication needs to be left off the pace at no point. Phenomena such as species' migration, extinction, intrusion; ecosystem stability; decline of pollinators and pest invasion have to be monitored closely and identified momentarily. In order to do so, proper identification based on reliable and easily accessible data is crucial.

Therefore, the three key objectives of PESI include standardisation in taxonomic reference systems, enhancement of the quality and completeness of taxonomic data sets and creation of integrated access to taxonomic information. The five pillars of biological community networks, Zoology, Botany, Marine Biota, Mycology and Phycology, have been integrated in five infrastructural components: knowledge, consensus, standards, data and dissemination.

As a result, PESI did not only merge data from a range of sources and published a total of nearly 450,000 scientific names online. It also maintains networks of outstanding experts and national focal points, so that it makes sure that the taxonomic information, it relies on, is always at its finest, while simultaneously takes care about delivering persistent standards and easily accessible up-to-date biodiversity data.

PESI results will also feed as an essential part for the advancement of relevant EU projects, such as Building the European Biodiversity Observation Network (EU BON). In the EU BON project, the PESI Backbone will be advanced to satisfy the needs of the GEO BON / GEOSS system, also serving as a taxonomic backbone for the projected EU BON Biodiversity Portal.

Aiming at standardisation and integration of taxonomic data across platforms PESI also works in close collaboration with other relevant projects including GBIF, LifeWatch, the Catalogue of Life, the Encyclopedia of Life, the Global Names Architecture, GÉANT, ViBRANT, OpenUp!,BioVeL, iMarine , EU BON and BiodiversityKnowledge .

"Scientific names are key carriers of biodiversity information. Therefore, for the efficient exploring and integration of biodiversity data, the development of a functional taxonomic resolution system, including the establishment of a shared taxonomic standard (as a core component), is essential for all sorts of biodiversity assessments. PESI provides such an infrastructure for Europe, integrating the relevant technical (informatics) and social (knowledge & users) networks into a common work program, serving a wide community of biodiversity workers," says Dr. Yde de Jong, coordinator of the Pan-European Species-directories Infrastructure (PESI) project.

"The PESI Taxonomic Backbone serves as a taxonomic data standard resource, facilitating and optimising the integration and sharing of European biodiversity data, supporting a wide range of European services, major biodiversity programs and stakeholders on nature conservation and biodiversity management," conclude their results the scientists.

Original Source:

de Jong Y, et al. (2015) PESI - a taxonomic backbone for Europe. Biodiversity Data Journal 3: e5848.doi: 10.3897/BDJ.3.e5848

Additional Information:

The Pan-European Species-directories Infrastructure (PESI) provides standardised and authoritative taxonomic information by integrating and securing Europe's taxonomically authoritative species name registers and nomenclators (name databases) and associated expert(ise) networks that underpin the management of biodiversity in Europe. PESI kicked-off as an EC-FP7 project, running from 2009 to 2011.

PESI proceeded from the EC-FP6 Networks of Excellence EDIT, on developing a European Distributed Institute of Taxonomy, and MarBEF, on Marine Biodiversity and Ecosystem Functioning.

Building the European Biodiversity Observation Network (EU BON) is a European research project, financed by the 7th EU framework programme for research and development (FP7). EU BON seeks ways to better integrate biodiversity information and implement into policy and decision-making of biodiversity monitoring and management in the EU.

The Research Infrastructures Unit of DG RTD and the infrastructure project LifeWatch invites you to a 1 and ½ day workshop : "Towards a Roadmap for Research Infrastructures on Biodiversity and Ecosystem research in Europe". The workshop will take place Brussels on 19 and 20 March 2013.
The overall objective of this workshop is to develop synergies between ESFRI research infrastructures (RI), existing research infrastructures implemented as Integrating Activities (IA), Integrated Projects (IP) and Joint Programming Initiatives (JPI) which are relevant to Biodiversity and Ecosystem research.
The following topics will be discussed:
1. Synergy between the biodiversity components of different initiatives, also in view of the supporting role of the European research infrastructures in this area.
2. A strategy for the development of biodiversity research infrastructures in the next ten years in view of emerging scientific and technical challenges.

Further information: EuroMarine

The 2^nd International Conference on Research Infrastructures (ICRI 2014) will take place from 2-4 April 2014 in Athens, Greece.ICRI 2014 will be held under the auspices of the forthcoming Greek Presidency of the European Union, co-organised and supported by the European Commission. Read more here

The "Open Science at the Global Scale: Sharing e-Infrastructures, Sharing Knowledge, Sharing Progress" conference will take place on March 31, 2015 in Brussels, Belgium. The conference is organized under the aegis of the European Commission (DG CONNECT) to bring together policy and research stakeholders from all the regions targeted by the project (Asia, Africa, Arabia, India, Europe and Latin America) to discuss major developments and perspectives in the field of global e-Infrastructures for Research and Education.

The main outcomes of the CHAIN-REDS project will be also presented on this occasion:

• The development of a Distributed Computing Infrastructure interoperation model between Europe and other regions
• The promotion of international standards and technical guidelines for interoperability of cloud services across continents
• One of the largest existing e-Infrastructure-related digital information systems, the CHAIN-REDS Knowledge Base
• A complete methodology for better sharing and using scientific data
• The CHAIN-REDS Science Gateway: a single portal for accessing remote computing and data services anywhere in the world
• The support of the creation of Identity Federations to make Authentification and Authorisation easier for users and service providers worldwide
• The main outcomes of the six awareness-raising workshops organised by CHAIN-REDS in Asia, Africa, Arabia, and Latin America

For Registration and more information, please visit the oficial conference webpage: https://agenda.ct.infn.it/event/1110/

"Global Biodiversity Assessment and Monitoring: Science, Data and Infrastructure Needs for IPBES and Beyond" is a joint symposium of the Future Earth Clusters ‘Global Biodiversity Assessment and Monitoring, Prediction and Reporting’ and "Support for IPBES", which will take place from 6 to 10 March 2016 in Monte Verita, Ascona, Switzerland. 

The symposium follows up on the initial meeting on "Global Biodiversity Monitoring" at Yale University in May 2015. The 2016 event will in particular bring biodiversity and global change scientists from Europe, Africa, and Asia to this discussion and add as additional focus the scientific needs for IPBES, in particular on indicators and scenarios. Key goals of the conference are to link the main research groups active in this area, improve data sharing, develop collaborative analyses, realize potential synergies and advance international cooperation. Work efforts to date have been organized into several working groups and the meeting will provide opportunity for these groups to advance or complete their work and for new initiatives to form. Future Earth is entering the next formative stage and the symposium is a forum to advance the role of biodiversity within Future Earth as well as develop or engage in new research and funding opportunities under its umbrella.

Please see here for the draft program and logistical information, and http://biodiversitymonitoring.org for more background about the Future Earth Biodiversity Monitoring cluster.

Further information on the event is available in the official announcement here.

The next International Conference on Research Infrastructures will take place in Cape Town, South Africa, from 3 to 5 October 2016, hosted by the South African Department of Science and Technology (DST) in collaboration with the European Commission. It will be the 3rd Conference on Research Infrastructures and the event will have an international dimension. The conference aims at:

• highlighting the essential role of global research infrastructures in addressing grand challenges and as hubs for innovation;
• reflecting on needs, development and sustainability of global/regional research infrastructures;
• discussing the possibility to move towards an international roadmap.

Several hundreds of participants from more than 50 countries are expected to take part to this event. Speakers representing high-level stakeholders from across the globe, as well as highly profiled key political Institutions, including the UN, European Commission, African Union, OECD and others, will intervene in the debate.

More information to follow.

The 4th EU BON roundtable will take place on Thursday, 17 November 2016 at the premises of the Museum fuer Naturkunde in Berlin with the motto "Pathways to sustainability for EU BONs network of collaborators and technical infrastructure".  

One of the key questions will be how to achieve sustainability for the many different products of EU BON, such as tools, software, models and infrastructure after the project ends. It should be discussed how a European Biodiversity Observation Network and its essential components could be sustained after the project will end in May 2017, by which institutions or networks and how the products can be used in the best way for European policy and research needs.