Como indexar una revista científica usando WordPress en Google Scholar

Los avances científicos han facilitado la difusión del conocimiento, encontrándose los más recientes hallazgos rápidamente en Internet, esto ha producido la migración de las revistas desde lo impreso a lo digital, pero este proceso no siempre se realiza adecuadamente, por lo que actualmente existen revistas, y en consecuencia sus publicaciones, que no se logran encontrar en los buscadores académicos, lo que se debe al uso de los softwares inadecuados o en su defecto a una mala configuración de los que se han implementado. En esta línea la recomendación es usar Open Journal System, un software diseñado para la publicación científica, pero varias revistas usan gestores de contenido como WordPress, por su facilidad de implementación y personalización aun cuando estos presenten limitaciones en el aspecto editorial. A continuación, se expone un método para la correcta indexación de revistas confeccionadas en WordPress en el buscador Google Scholar.

Scientific advances have facilitated the dissemination of knowledge, and the latest discoveries can be easily found on the Internet. This has produced the migration of journals from print to digital; however, this process is not always done properly since there are journals, and consequently their publications, which are not currently found in academic search engines due to the inappropriate use of software or otherwise to a misconfiguration of those that have been implemented. In this line, the recommendation is to use Open Journal System, a software designed for scientific publication; on the other hand, several journals use content manager systems such as WordPress because of its easy implementation and customization even when they present editorial constrains. The following is a method for the correct indexing of journals created in WordPress in the Google Scholar search engine.

Genomic Surveillance of SARS-CoV-2 in México: Three Years since Wuhan, China's First Reported Case.

OBJECTIVE: The aim of this work was to analyze the metadata of the SARS-CoV-2 sequences obtained from samples collected in Mexico from 2020 to 2022. MATERIALS AND METHODS: Metadata of SARS-CoV-2 sequences from samples collected in Mexico up to 31 December 2022 was retrieved from GISAID and manually cured for interpretation. RESULTS: As of December 2022, Mexican health authorities and the scientific community have sequenced up to 81,983 SARS-CoV-2 viral genomes deposited in GISAID, representing 1.1% of confirmed cases. The number of sequences obtained per state corresponded to the gross domestic product (GDP) of each state for the first (Mexico City) and the last (Tlaxcala). Approximately 25% of the sequences were obtained from CoViGen-Mex, an interdisciplinary initiative of health and scientific institutions to collect and sequence samples nationwide. The metadata showed a clear dominance of sequences retrieved by women. A similar variant distribution over time was found in Mexico and overseas, with the Omicron variant predominating. Finally, the age group with the highest representation in the sequences was adults aged 21 to 50 years, accounting for more than 50% of the total. CONCLUSIONS: Mexico presents diverse sociodemographic and economic characteristics. The COVID-19 pandemic has been and continues to be a challenge for collaboration across the country and around the world.

Meta-omics integration approach reveals the effect of soil native microbiome diversity in the performance of inoculant Azospirillum brasilense.

Plant growth promoting bacteria (PGPB) have been used as integrative inputs to minimize the use of chemical fertilizers. However, a holistic comprehension about PGPB-plant-microbiome interactions is still incipient. Furthermore, the interaction among PGPB and the holobiont (host-microbiome association) represent a new frontier to plant breeding programs. We aimed to characterize maize bulk soil and rhizosphere microbiomes in irradiated soil (IS) and a native soil (NS) microbial community gradient (dilution-to-extinction) with Azospirillum brasilense Ab-V5, a PGPB commercial inoculant. Our hypothesis was that plant growth promotion efficiency is a result of PGPB niche occupation and persistence according to the holobiont conditions. The effects of Ab-V5 and NS microbial communities were evaluated in microcosms by a combined approach of microbiomics (species-specific qPCR, 16S rRNA metataxonomics and metagenomics) and plant phenomics (conventional and high-throughput methods). Our results revealed a weak maize growth promoting effect of Ab-V5 inoculation in undiluted NS, contrasting the positive effects of NS dilutions 10-3, 10-6, 10-9 and IS with Ab-V5. Alpha diversity in NS + Ab-V5 soil samples was higher than in all other treatments in a time course of 25 days after sowing (DAS). At 15 DAS, alpha diversity indexes were different between NS and IS, but similar in all NS dilutions in rhizospheric samples. These differences were not persistent at 25 DAS, demonstrating a stabilization process in the rhizobiomes. In NS 10-3 +Ab-V5 and NS 10-6 Ab-V5, Ab-V5 persisted in the maize rhizosphere until 15 DAS in higher abundances compared to NS. In NS + Ab-V5, abundance of six taxa were positively correlated with response to (a)biotic stresses in plant-soil interface. Genes involved in bacterial metabolism of riboses and amino acids, and cresol degradation were abundant on NS 10-3 + Ab-V5, indicating that these pathways can contribute to plant growth promotion and might be a result of Ab-V5 performance as a microbial recruiter of beneficial functions to the plant. Our results demonstrated the effects of holobiont on Ab-V5 performance. The meta-omics integration supported by plant phenomics opens new perspectives to better understanding of inoculants-holobiont interaction and for developing better strategies for optimization in the use of microbial products.

Human Population Density Influences Genetic Diversity of Two Rattus Species Worldwide: A Macrogenetic Approach.

On a planet experiencing constant human population growth, it is necessary to explore the anthropogenic effects on the genetic diversity of species, and specifically invasive species. Using an analysis that integrates comparative phylogeography, urban landscape genetics, macrogenetics and a systematic review, we explore the worldwide genetic diversity of the human commensal and anthropogenic species Rattus rattus and Rattus norvegicus. Based on metadata obtained considering 35 selected studies related to observed heterozygosity, measured by nuclear molecular markers (microsatellites, Single Nucleotide Polymorphisms-SNPs-, restrictition site-associated DNA sequencing -RAD-Seq-), socioeconomic and mobility anthropogenic factors were used as predictors of genetic diversity of R. rattus and R. norvegicus, using the Gini index, principal component analysis and Random Forest Regression as analysis methodology. Population density was on average the best predictor of genetic diversity in the Rattus species analyzed, indicating that the species respond in a particular way to the characteristics present in urban environments because of a combination of life history characteristics and human-mediated migration and colonization processes. To create better management and control strategies for these rodents and their associated diseases, it is necessary to fill the existing information gap in urban landscape genetics studies with more metadata repositories, with emphasis on tropical and subtropical regions of the world.

Primary health care coverage in Brazil: a dataset from 1998 to 2020.

OBJECTIVES: Primary health care builds the backbone of an effective healthcare system and can improve population health, reduce cost growth, and lessen inequality. We offer a machine-readable and open-access dataset on primary health care coverage in Brazil from 1998 to 2020. This dataset is interoperable with epidemiological data from two major studies and reusable by the research community worldwide for other purposes, such as monitoring progress toward universal health coverage and studying the association between primary health care and health outcomes. DATA DESCRIPTION: The dataset gathers official and public information from the "e-Gestor AB" platform of the Ministry of Health of Brazil and restricted data obtained by the Brazilian Access to Information Law. It includes 1,509,870 observations and 35 attributes aggregated by months/years and policy-relevant geographic units (country, macroregions, states, municipalities, and capitals) on primary health care team count and their absolute and relative population coverage estimates, information on the More Doctors Program implementation and physician counts, and spatial, demographic, and socioeconomic characteristics. We automated all data processing and curation in the free and open software R. The codes can be audited, replicated, and reused to produce alternative analyses.

ProvOER model: A provenance model for Open Educational Resources.

Open Educational Resources (OER) can be adapted and combined to create new resources that better meet the specific needs of different kinds of users and scenarios. In this sense, OER strongly contributes to generating and sharing educational knowledge. Due to the possibility of creating a new OER through the revision and remix activities, the original OER and the transformation process should be adequately identified. This way, the user of the OER has enough information about the history of the resource and, thus, can use it with confidence and security. In this context, determining data provenance, which describes the history of a data from its origin to its current state, becomes very relevant. For OER, there are examples of metadata standards and digital repositories that help to obtain the data provenance. However, the information collected is insufficient to identify the entire history of the provenance of OER. This article proposes a Provenance Model for OER called the ProvOER Model, which allows the documentation and identification of the provenance of OER. For this purpose, a minimum set of metadata was defined that reflects the OER intrinsic properties and the activities that created a new OER. The experiments showed that the ProvOER Model produced a suitable representation of the provenance of OER. In addition, the ProvOER Model allowed identifying the original OER used in a revise or remix activity and the continuous stretch used to create a new resource.

Una mirada actual a la caracterización de datos y ficheros de neurociencias / A Current Look at Characterization of Neuroscience Data and Files

Para los neurocientíficos constituye un desafío realizar un seguimiento de los datos y metadatos generados en cada investigación y extraer con precisión toda la información relevante, hecho crucial para interpretar resultados y requisito mínimo para que los investigadores construyan sus investigaciones sobre los hallazgos anteriores. Se debe mantener tanta información como sea posible desde el inicio, incluso si esta pudiera parece ser irrelevante, además de registrar y almacenar los datos con sus metadatos de forma clara y concisa. Un análisis preliminar sobre la literatura especializada arrojó ausencia de una investigación detallada sobre cómo incorporar la gestión de datos y metadatos en las investigaciones clínicas del cerebro, en términos de organizar datos y metadatos completamente en repositorios digitales, recopilar e ingresar estos teniendo en cuenta su completitud, y sacar provecho de dicha recopilación en el proceso de análisis de los datos. Esta investigación tiene como objetivo caracterizar conceptual y técnicamente los datos y metadatos de neurociencias para facilitar el desarrollo de soluciones informáticas para su gestión y procesamiento. Se consultaron diferentes fuentes bibliográficas, así como bases de datos y repositorios tales como: Pubmed, Scielo, Nature, Researchgate, entre otros. El análisis sobre la recopilación, organización, procesamiento y almacenamiento de los datos y metadatos de neurociencias para cada técnica de adquisición de datos (EEG, iEEG, MEG, PET), así como su vínculo a la estructura de datos de imágenes cerebrales (BIDS) permitió obtener una caracterización general de cómo gestionar y procesar la información contenida en los mismos(AU)

For neuroscientists, it is a challenge to keep track of the data and metadata generated in each investigation and accurately extract all the relevant information, a crucial fact to interpret results and a minimum requirement for researchers to build their investigations on previous findings. Keep as much information as possible from the start, even if it may seem irrelevant and record and store the data with its metadata clearly and concisely. A preliminary analysis of the specialized literature revealed an absence of detailed research on how to incorporate data and metadata management in clinical brain research, in terms of organizing data and metadata completely in digital repositories, collecting and inputting them taking into account their completeness. , and take advantage of such collection in the process of data analysis. This research aims to conceptually and technically characterize neuroscience data and metadata to facilitate the development of computer solutions for its management and processing. Different bibliographic sources were consulted, as well as databases and repositories such as: Pubmed, Scielo, Nature, Researchgate, among others. The analysis on the collection, organization, processing and storage of neuroscience data and metadata for each data acquisition technique (EEG, iEEG, MEG, PET), as well as its link to the brain imaging data structure (BIDS) allowed to obtain a general characterization of how to manage and process the information contained in them(AU)

Tendencias y desafíos en la creación de metadatos en proyectos de archivo de la web / Trends and challenges of metadata creation in web archiving projects

Resumen Este trabajo tiene como objetivo identificar prácticas y desafíos relacionados al manejo de metadatos en proyectos de archivado web. Se lleva a cabo un análisis de literatura sobre sobre metadatos en archivos de la web publicadas desde 2013, con particular atención a identificar estudios sobre estas prácticas en archivos y bibliotecas. Estos hallazgos apuntan a la necesidad de proveer una mayor contextualización sobre la conformación de un archivo o colección web, así como la importancia de tender puentes entre prácticas bibliotecológicas y archivísticas. Además, para profundizar sobre la importancia de los metadatos en proyectos de archivo de la web, se presenta como estudio de caso la conformación y catalogación de la Colección Web #RickyRenuncia, que forma parte del Proyecto RickyRenuncia, una iniciativa colaborativa y voluntaria para documentar las protestas que llevaron a la renuncia del gobernador de Puerto Rico en julio de 2019. A manera de conclusión, se argumenta sobre la necesidad de conocer más sobre prácticas de archivado web en Latinoamérica y el Caribe, y sobre la posibilidad de establecer redes de colaboración dirigidas a fortalecer la preservación de contenidos web en la región.

Abstract This paper aims to identify practices and challenges related to metadata management in web archiving projects. An analysis of literature on metadata in web archives published since 2013 is carried out, with particular attention to identify studies on these practices in archives and libraries. These findings point to the need to provide further contextualization on the shaping of a web archive or collection, as well as the importance of building bridges between library and archival practices. In addition, to deepen on the importance of metadata in web archiving projects, the conformation and cataloging of the #RickyRenuncia Web Collection, which is part of the RickyRenuncia Project, a collaborative and voluntary initiative to document the protests that led to the resignation of the governor of Puerto Rico in July 2019, is presented as a case study. By way of conclusion, it argues about the need to learn more about web archiving practices in Latin America and the Caribbean, and about the possibility of establishing collaborative networks aimed at strengthening the preservation of web content in the region.

Brazilian spatial, demographic, and socioeconomic data from 1996 to 2020.

OBJECTIVES: We present a database on Brazilian spatial, demographic, and socioeconomic characteristics from 1996 to 2020. This database aims for integration and harmonization with epidemiological data from two major studies. It can also be a valuable database for designing and conducting various types of epidemiologic research, such as health inequality studies, ecological studies (mapping and time-trends), and multi-level analysis. DATA DESCRIPTION: The database gathers official information obtained via open sources from the Brazilian Institute of Geography and Statistics, the Institute for Applied Economic Research, and the Ministry of Health. It includes 139,153 observations and 26 attributes aggregated by years and policy-relevant geographic units on geocoding of municipality centroids, total population size, child population by age-group, birth and mortality measures, Brazilian Municipal Human Development Index, Gini coefficient, Gross Domestic Product, and sanitation. We automated all data processing and curation in the free and open software R.

Improved Accuracy in Predicting the Best Sensor Fusion Architecture for Multiple Domains.

Multi-sensor fusion intends to boost the general reliability of a decision-making procedure or allow one sensor to compensate for others' shortcomings. This field has been so prominent that authors have proposed many different fusion approaches, or "architectures" as we call them when they are structurally different, so it is now challenging to prescribe which one is better for a specific collection of sensors and a particular application environment, other than by trial and error. We propose an approach capable of predicting the best fusion architecture (from predefined options) for a given dataset. This method involves the construction of a meta-dataset where statistical characteristics from the original dataset are extracted. One challenge is that each dataset has a different number of variables (columns). Previous work took the principal component analysis's first k components to make the meta-dataset columns coherent and trained machine learning classifiers to predict the best fusion architecture. In this paper, we take a new route to build the meta-dataset. We use the Sequential Forward Floating Selection algorithm and a T transform to reduce the features and match them to a given number, respectively. Our findings indicate that our proposed method could improve the accuracy in predicting the best sensor fusion architecture for multiple domains.

Data Integration Challenges for Machine Learning in Precision Medicine.

A main goal of Precision Medicine is that of incorporating and integrating the vast corpora on different databases about the molecular and environmental origins of disease, into analytic frameworks, allowing the development of individualized, context-dependent diagnostics, and therapeutic approaches. In this regard, artificial intelligence and machine learning approaches can be used to build analytical models of complex disease aimed at prediction of personalized health conditions and outcomes. Such models must handle the wide heterogeneity of individuals in both their genetic predisposition and their social and environmental determinants. Computational approaches to medicine need to be able to efficiently manage, visualize and integrate, large datasets combining structure, and unstructured formats. This needs to be done while constrained by different levels of confidentiality, ideally doing so within a unified analytical architecture. Efficient data integration and management is key to the successful application of computational intelligence approaches to medicine. A number of challenges arise in the design of successful designs to medical data analytics under currently demanding conditions of performance in personalized medicine, while also subject to time, computational power, and bioethical constraints. Here, we will review some of these constraints and discuss possible avenues to overcome current challenges.

Choosing the Best Sensor Fusion Method: A Machine-Learning Approach.

Multi-sensor fusion refers to methods used for combining information coming from several sensors (in some cases, different ones) with the aim to make one sensor compensate for the weaknesses of others or to improve the overall accuracy or the reliability of a decision-making process. Indeed, this area has made progress, and the combined use of several sensors has been so successful that many authors proposed variants of fusion methods, to the point that it is now hard to tell which of them is the best for a given set of sensors and a given application context. To address the issue of choosing an adequate fusion method, we recently proposed a machine-learning data-driven approach able to predict the best merging strategy. This approach uses a meta-data set with the Statistical signatures extracted from data sets of a particular domain, from which we train a prediction model. However, the mentioned work is restricted to the recognition of human activities. In this paper, we propose to extend our previous work to other very different contexts, such as gas detection and grammatical face expression identification, in order to test its generality. The extensions of the method are presented in this paper. Our experimental results show that our extended model predicts the best fusion method well for a given data set, making us able to claim a broad generality for our sensor fusion method.

Acesso aberto a artigos, dados e materiais de pesquisa na RBMFC / Open access to articles, data and research materials on RBMFC / Acceso abierto a artículos, datos y materiales de investigación en RBMFC

Acesso aberto aos artigos, dados e materiais de pesquisa são alguns elementos-chave da ciência aberta, um movimento plural que visa a transformar a criação e a comunicação do conhecimento científico. Graças à publicação de artigos em acesso aberto e à adoção de boas práticas editoriais, a RBMFC tem seus artigos indexados na LILACS e, mais recentemente, no DOAJ. A RBMFC também adota as diretrizes Transparency and Openness Promotion do Center for Open Science, e disponibiliza suas referências na CrossRef em domínio público, graças ao que a revista foi incluída no índice de citações OpenCitations. Com isso, a RBMFC espera tornar mais acessível, democrática e eficiente a pesquisa em medicina de família e comunidade e atenção primária à saúde.

Open access to research articles, data and materials are some key elements of open science, a plural movement that aims to transform the creation and communication of scientific knowledge. Thanks to the publication of articles in open access and the adoption of good editorial practices, RBMFC has its articles indexed in LILACS and, more recently, in DOAJ. RBMFC also adopts the Transparency and Openness Promotion guidelines from the Center for Open Science, and makes its references in CrossRef available in the public domain, thanks to which the journal was included in the OpenCitations citation index. With this, RBMFC hopes to make research in family and community medicine and primary health care more accessible, democratic and efficient

El acceso abierto a artículos, datos y materiales de investigación son algunos de los elementos clave de la ciencia abierta, un movimiento plural que tiene como objetivo transformar la creación y comunicación del conocimiento científico. Gracias a la publicación de artículos en acceso abierto y la adopción de buenas prácticas editoriales, RBMFC tiene sus artículos indexados en LILACS y, más recientemente, en DOAJ. RBMFC también adopta las directrices Transparency and Openness Promotion del Center for Open Science, y hace que sus referencias en CrossRef estén disponibles en el dominio público, gracias a lo cual la revista fue incluida en el índice de citas de OpenCitations. Con esto, RBMFC espera que la investigación en medicina familiar y comunitaria y atención primaria de salud sea más accesible, democrática y eficiente.

Tecnologias digitais de informação para a saúde: revisando os padrões de metadados com foco na interoperabilidade / Digital information technologies for health: reviewing metadata standards focusing on interoperability / Tecnologías digitales de información para la salud: una revisión de los estándares de metadatos con la atención dirigida a la interoperabilidad

Este artigo tem como objetivo apresentar o mapeamento dos padrões de metadados, bem como suas aplicações visando à interoperabilidade em sistemas de informação para a área da saúde. Trata-se de uma pesquisa exploratório-descritiva com abordagem qualitativa e levantamento bibliográfico realizado em busca de publicações atuais que abordam a temática dos padrões de interoperabilidade nacionais e internacionais no campo da saúde. Essas buscas foram pautadas nos enunciados da Portaria nº 2.073, de 31 de agosto de 2011, que regulamenta o uso de padrões de interoperabilidade para sistemas de informação em saúde no contexto brasileiro. Os resultados evidenciam que a padronização e interoperabilidade em sistemas de informação, sejam eles relativos às bibliotecas ou às organizações de saúde, são de extrema importância por possibilitar a troca e o compartilhamento de informações dentro e fora das organizações, além de tornar mais eficientes os fluxos e processos informacionais.

This article aims to present the mapping of the metadata standards as well as their applications aiming the interoperability in information systems for the health area. An exploratory-descriptive research with a qualitative approach and a literature review was carried out in search of current publications that approach the theme of national and international standards of interoperability in the field of health. These searches were based on the provisions of Portaria nº 2.073, de 31 de agosto de 2011, passed by Ministry of Health,Brazil, which regulates the use of interoperability standards for health information systems in the Brazilian context. The results show that standardization and interoperability in information systems, whether related to libraries or health organizations, are extremely important because they allow the exchange and sharing of information inside and outside organizations, as well as streamlining flows and informative processes.

Este artículo tiene como objetivo presentar el mapeo de los estándares de metadatos, así como sus aplicaciones con la atención dirigida a la interoperabilidad en sistemas de información para el área de la salud. Se trata de una investigación exploratorio-descriptiva con enfoque cualitativo y revisión literaria a través de la búsqueda de publicaciones actuales que abordan la temática de los patrones de interoperabilidad nacionales e internacionales en el campo de la salud. Essas búsquedas se basaron en los enunciados de la Portaria nº 2.073, de 31 de agosto de 2011, Resolución del Ministerio de Salud, Brasil, que regula el uso de estándares de interoperabilidad para sistemas de información en salud en el contexto brasileño. Los resultados evidencian que la estandarización e interoperabilidad en sistemas de información, sean relativas a las bibliotecas o a las organizaciones de salud, son de extrema importancia por permitir el intercambio y la compartición de informaciones dentro y fuera de las organizaciones, además de hacer más eficientes los flujos y procesos relacionados con las informaciones.

Concerning the affiliations of authors who publish in the Revista Médica del IMSS / Sobre las adscripciones de los autores que publican en la Revista Médica del IMSS

In this editorial, it is exposed the importance of affiliations of authors who publish in journals, and especially in the Revista Médica del IMSS. Additionally, some examples of affiliations are exposed and the editorial handling that is given to them in several cases.

En el presente editorial, se expone la importancia que tienen las adscripciones de los autores que publican en revistas científicas y en particular en la Revista Médica del IMSS. Asimismo, se exponen algunos ejemplos de adscripciones y el tratamiento editorial que se les da en diversos casos.

Los metadatos, la búsqueda y recuperación de información desde las Ciencias de la Información / Metadata, search and information retrieval from the Information Science

Resumen El desarrollo de la informática y las Tecnologías de la Información y de la Comunicación (TIC) han transformado de manera preponderante el crecimiento y el acceso a la información, así como las maneras de concebir y realizar la búsqueda y recuperación de la información en la Internet acorde al nuevo contexto. Dicho proceso ha dejado de ser unidireccional y el usuario se ha convertido en ente participativo en la dinámica del proceso, introduciendo un modelo cognitivo y superando el tradicional; de manera que, el presente trabajo analiza los presupuestos teóricos-metodológicos entorno a la representación de la necesidad de información como elemento que define el resultado de una estrategia de búsqueda. Para ello, se adentra en el análisis de diferentes enfoques presentes en la interacción usuario máquina durante la búsqueda y la recuperación de la información. En este sentido, se reconocen los aportes de otras disciplinas que contribuyen a encontrar soluciones para optimizar la recuperación de información en la Internet. Con este empeño se propone el uso de metadatos para lograr una mejor comunicación e interpretación por parte de los Sistemas de Recuperación de Información de los distintos puntos de vista de un usuario determinado.

Abstract Computing, and information and communication technology development has preponderantly transformed the growth and access to information, as well as the ways of conceiving and performing search and retrieval of information on Internet in accordance with the new context. This process has ceased to be unidirectional and the user has become a participative entity in dynamics of the process introducing a cognitive model and surpassing traditional one. Therefore, this paper aims to analyze theoretical-methodological assumptions around the representation of the need for information as an element that defines the result of a search strategy. In order to do this, it delves into the analysis of different approaches present in the user-machine interaction during search and retrieval of information. In this sense, the contributions of other disciplines that contribute to finding solutions to optimize the retrieval of information on the Internet are recognized. With this effort, the use of metadata is proposed to achieve better communication and interpretation by the Information Retrieval Systems of the different points of view of a given user.

From global action against malaria to local issues: state of the art and perspectives of web platforms dealing with malaria information.

BACKGROUND: Since prehistory to present times and despite a rough combat against it, malaria remains a concern for human beings. While evolutions of science and technology through times allowed for some infectious diseases eradication in the 20th century, malaria resists. OBJECTIVES: This review aims at assessing how Internet and web technologies are used in fighting malaria. Precisely, how do malaria fighting actors profit from these developments, how do they deal with ensuing phenomena, such as the increase of data volume, and did these technologies bring new opportunities for fighting malaria? METHODS: Eleven web platforms linked to spatio-temporal malaria information are reviewed, focusing on data, metadata, web services and categories of users. RESULTS: Though the web platforms are highly heterogeneous the review reveals that the latest advances in web technologies are underused. Information are rarely updated dynamically, metadata catalogues are absent, web services are more and more used, but rarely standardized, and websites are mainly dedicated to scientific communities, essentially researchers. CONCLUSION: Improvement of systems interoperability, through standardization, is an opportunity to be seized in order to allow real time information exchange and online multisource data analysis. To facilitate multidisciplinary/multiscale studies, the web of linked data and the semantic web innovations can be used in order to formalize the different view points of actors involved in the combat against malaria. By doing so, new malaria fighting strategies could take place, to tackle the bottlenecks listed in the United Nation Millennium Development Goals reports, but also specific issues highlighted by the World Health Organization such as malaria elimination in international borders.

Improving agricultural knowledge management: The AgTrials experience.

Background: Opportunities to use data and information to address challenges in international agricultural research and development are expanding rapidly. The use of agricultural trial and evaluation data has enormous potential to improve crops and management practices. However, for a number of reasons, this potential has yet to be realized. This paper reports on the experience of the AgTrials initiative, an effort to build an online database of agricultural trials applying principles of interoperability and open access. Methods: Our analysis evaluates what worked and what did not work in the development of the AgTrials information resource. We analyzed data on our users and their interaction with the platform. We also surveyed our users to gauge their perceptions of the utility of the online database. Results: The study revealed barriers to participation and impediments to interaction, opportunities for improving agricultural knowledge management and a large potential for the use of trial and evaluation data.  Conclusions: Technical and logistical mechanisms for developing interoperable online databases are well advanced.  More effort will be needed to advance organizational and institutional work for these types of databases to realize their potential.

Visualizing Tensions in an Ethnographic Moment: Images and Intersubjectivity.

Images function as sources of data and influence our thinking about fieldwork, representation, and intersubjectivity. In this article, I show how both the ethnographic relationships and the working method of photography lead to a more nuanced understanding of a healing event. I systematically analyze 33 photographs made over a 15-minute period during the preparation and application of a poultice (topical cure) in a rural Andean home. The images chronicle the event, revealing my initial reaction and the decisions I made when tripping the shutter. By unpacking the relationship between ethnographer and subject, I reveal the constant negotiation of positions, assumptions, and expectations that make up intersubjectivity. For transparency, I provide thumbnails of all images, including metadata, so that readers may consider alternative interpretations of the images and event.