Recording a stellar occultation is one powerful method that gives direct information about the physical properties of the occulting solar system object. In order to obtain reliable and accurate results, simultaneous observations from different locations across-track of the projected path are of great importance. However, organising all the observing stations, aggregating, and analysing the data is time-consuming and not that easy. We have developed a web portal named Occultation Portal (OP) to manage all those occultation observation campaigns from a central server. With this portal, the instrumental and observational information of all observers participating in a stellar occultation campaign and the concerned data are archived systematically in a standard format. The researchers can then visualise the archived data on an event basis. The investigators can also extract the light curve for each data-set with the added reduction pipeline to the portal base. This paper describes in detail the portal structure and the developed features.

Proteomics has become a critical tool in the functional understanding of plant processes at the molecular level. Proteomics-based studies have also contributed to the ever-expanding array of data in modern biology, with many generating Web portals and online resources that contain incrementally expanding and updated information. Many of these resources reflect specialist research areas with significant and novel information that is not currently captured by centralized repositories. The Arabidopsis (Arabidopsis thaliana) community is well served by a number of online proteomics resources that hold an abundance of functional information. These sites can be difficult to locate among a multitude of online resources. Furthermore, they can be difficult to navigate in order to identify specific features of interest without significant technical knowledge. Recently, members of the Arabidopsis proteomics community involved in developing many of these resources decided to develop a summary aggregation portal that is capable of retrieving proteomics data from a series of online resources on the fly. The Web portal is known as the MASCP Gator and can be accessed at the following address: http://gator.masc-proteomics.org/. Significantly, proteomics data displayed at this site retrieve information from the data repositories upon each request. This means that information is always up to date and displays the latest data sets. The site also provides hyperlinks back to the source information hosted at each of the curated databases to facilitate more in-depth analysis of the primary data.

The Open Archive Initiative Protocol for Metadata Harvesting (OAI-PMH) is fundamentally a lightweight, Web-based service for transporting XML-formatted metadata. Data providers with metadata that they wish to expose will typically implement the OAI-PMH service on one of their Web servers. In order to harvest the metadata, service providers will make requests to these services. Service providers typically aggregate harvested metadata from multiple data providers in order to develop services for their end-users, such as a topical search portal. This paper includes a brief history of the OAI-PMH, and describes a topical search portal that was developed at the Grainger Engineering Library Information Center, University of Illinois at Urbana-Champaign. The Grainger OAI Reports Service focuses on the topics of engineering, computer science, and physics.

Recording a stellar occultation is one powerful method that gives direct information about the physical properties of the occulting Solar system object. In order to obtain reliable and accurate results, simultaneous observations from different locations across-track of the projected path are of great importance. However, organizing all the observing stations, aggregating, and analysing the data is time-consuming and not that easy. We have developed a web portal named Occultation Portal (OP) to manage all those occultation observation campaigns from a central server. With this portal, the instrumental and observational information of all observers participating in a stellar occultation campaign and the concerned data are archived systematically in a standard format. The researchers can then visualize the archived data on an event basis. The investigators can also extract the light curve for each data set with the added reduction pipeline to the portal base. This paper describes in detail the portal structure and the developed features.

SummaryNeuroNLP, is a key application on the Fruit Fly Brain Observatory platform (FFBO, http://fruitflybrain.org), that provides a modern web-based portal for navigating fruit fly brain circuit data. Increases in the availability and scale of fruit fly connectome data, demand new, scalable and accessible methods to facilitate investigation into the functions of the latest complex circuits being uncovered. NeuroNLP enables in-depth exploration and investigation of the structure of brain circuits, using intuitive natural language queries that are capable of revealing the latent structure and information, obscured due to expansive yet independent data sources. NeuroNLP is built on top of a database system call NeuroArch that codifies knowledge about the fruit fly brain circuits, spanning multiple sources. Users can probe biological circuits in the NeuroArch database with plain English queries, such as “show glutamatergic local neurons in the left antennal lobe” and “show neurons with dendrites in the left mushroom body and axons in the fan-shaped body”. This simple yet powerful interface replaces the usual, cumbersome checkboxes and dropdown menus prevalent in today’s neurobiological databases. Equipped with powerful 3D visualization, NeuroNLP standardizes tools and methods for graphical rendering, representation, and manipulation of brain circuits, while integrating with existing databases such as the FlyCircuit. The userfriendly graphical user interface complements the natural language queries with additional controls for exploring the connectivity of neurons and neural circuits. Designed with an open-source, modular structure, it is highly scalable/flexible/extensible to additional databases or to switch between databases and supports the creation of additional parsers for other languages. By supporting access through a web browser from any modern laptop or smartphone, NeuroNLP significantly increases the accessibility of fruit fly brain data and improves the impact of the data in both scientific and educational exploration.

To improve the sanitary and epidemiological surveillance at the Olympic Games has developed a system of GIS for monitoring objects and situations in the region of Sochi. The system is based on software package ArcGIS, version 10.2 server, with Web-java.lang. Object, Web-server Apach, and software developed in language java. During th execution of the tasks are solved: the stratification of the region of the Olympic Games for the private and aggregate epidemiological risk OCI various eti- ologies, ranking epidemiologically important facilities for the sanitary and hygienic conditions, monitoring of infectious diseases (in real time according to the preliminary diagnosis). GIS monitoring has shown its effectiveness: Information received from various sources, but focused on one portal. Information was available in real time all the specialists involved in ensuring epidemiological well-being and use at work during the Olympic Games in Sochi.

Purpose The improvement and linkage of two Department of Veterans Affairs (VA) databases for monitoring adverse drug reactions (ADRs) are described, with a discussion of the potential implications for improved medication safety within the VA health care system. Summary Before 2007, VA had limited capability to track and evaluate ADRs across its nationwide network of health care facilities. Since then, VA has established a standardized monitoring system that has improved the reporting, analysis, and trending of ADRs reported by providers and pharmacists at individual VA facilities. The enhanced system has two components with distinct but complementary functions: the Adverse Reaction Tracking database, which is derived by extracting text-based, patient-specific information entered into the VA electronic medical record system by clinicians at the point of care; and the VA Adverse Drug Event Reporting System (VA ADERS), an external web-based portal that contains aggregated data from 146 VA facilities, with standardized coding of reported events. Both databases allow for ADR reporting at the local, regional, and national levels. The VA ADERS database permits rapid electronic reporting of certain ADRs to the federal MedWatch program. The two databases can be used in tandem for more comprehensive assessments of ADR patterns and reporting rates and to generate a wide range of benchmarking data. Conclusion In recent years, the refinement of two databases for ADR reporting has increased VA’s capability to systematically monitor, track, and report ADRs across its national network of health care facilities. Linking the two databases has further strengthened those capabilities, enhancing medication safety practices and aiding in pharmacovigilance.

Context. The first Gaia data release (DR1) delivered a catalogue of astrometry and photometry for over a billion astronomical sources. Within the panoplyof methods used for data exploration, visualisation is often the starting point and even the guiding reference for scientific thought. However, this is a volume of data that cannot be efficiently explored using traditional tools, techniques, and habits. Aims. We aim to provide a global visual exploration service for the Gaia archive, something that is not possible out of the box for most people. The service has two main goals. The first is to provide a software platform for interactive visual exploration of the archive contents, using common personal computers and mobile devices available to most users. The second aim is to produce intelligible and appealing visual representations of the enormous information content of the archive. Methods. The interactive exploration service follows a client-server design. The server runs close to the data, at the archive, and is responsible for hiding as far as possible the complexity and volume of the Gaia data from the client. This is achieved by serving visual detail on demand. Levels of detail are pre-computed using data aggregation and subsampling techniques. For DR1, the client is a web application that provides an interactive multi-panel visualisation workspace as well as a graphical user interface. Results. The Gaia archive Visualisation Service offers a web-based multi-panel interactive visualisation desktop in a browser tab. It currently provides highly configurable 1D histograms and 2D scatter plots of Gaia DR1 and the Tycho-Gaia Astrometric Solution (TGAS) with linked views. An innovative feature is the creation of ADQL queries from visually defined regions in plots. These visual queries are ready for use in the Gaia Archive Search/data retrieval service. In addition, regions around user-selected objects can be further examined with automatically generated SIMBAD searches. Integration of the Aladin Lite and JS9 applications add support to the visualisation of HiPS and FITS maps. The production of the all-sky source density map that became the iconic image of Gaia DR1 is described in detail. Conclusions. On the day of DR1, over seven thousand users accessed the Gaia Archive visualisation portal. The system, running on a single machine, proved robust and did not fail while enabling thousands of users to visualise and explore the over one billion sources in DR1. There are still several limitations, most noticeably that users may only choose from a list of pre-computed visualisations. Thus, other visualisation applications that can complement the archive service are examined. Finally, development plans for Data Release 2 are presented.

Research tools, such as model organisms, cell lines, and antibodies, are essential to designing and executing successful biological experiments. These resources are often shared or made commercially available to support scientific progress. Given the fast pace of research, it can be difficult to keep track of the large number of available tools. Moreover, for those new to a particular disease area, learning about the array of tools available can be a major impediment. Our experience in the neurofibromatosis field has shown that researchers struggle to identify the research tools available to them, determine where tools can be acquired, and understand what tools are most well-suited for which experiments. While a variety of databases exist to help researchers find useful research tools, these databases often a) are specific to one type of research tool while being disease-agnostic, b) provide only high-level information, c) do not contain information about in-development models, and d) do not contain observational data for the research tools. To address these limitations, we created the Neurofibromatosis Research Tools Database, a user-friendly, open-access database and companion portal designed to help the neurofibromatosis type 1 (NF1) research community easily find, obtain, and use NF1-relevant research tools. This prototype database catalogs a wide variety of NF1-relevant research tools using databases such as Cellosaurus, AntibodyRegistry, RRID Portal, among others, as well as information provided in literature and from the NF community. We aggregated and curated metadata for NF1-relevant animal models, cell lines, genetic reagents, antibodies, and biobanks. The database includes core metadata for all tools, e.g., name, type of tool, synonyms, developer, as well as tool type-specific metadata, e.g., for cell lines or animal models, the type of cancer that the model recapitulates. The database is also designed to store observational data contributed directly from the research community. Our companion web portal allows users to search and filter this database interactively and easily explore these tools. This website was built within the NF Data Portal (nf.synapse.org), and is available at tools.nf.synapse.org. Community members can actively contribute to the growth of the database and portal by submitting information about the reliability, biology, usage, and other observations on each research tool. By collating and curating this information and surfacing it in an open-access exploration portal, we anticipate that this database will serve as a valuable resource to help the NF community discover, understand, and use NF1 research tools. Citation Format: Brynn Zalmanek, James Goss, Mialy DeFelice, Jay Hodgson, Ashley Clayton, Stockard Simon, Marco Marasca, Julie Bletz, James A. Eddy, Milen Nikolov, Kevin Boske, Ljubomir Bradic, Jineta Banerjee, Kalyan Vinnakota, Caroline Morin, YooRi Kim, Robert J. Allaway. NF Research Tools Database: A knowledge base of experimental research tools for neurofibromatosis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1675.

The STR Sequencing Project (STRSeq) was initiated to facilitate the description of sequence-based alleles at the Short Tandem Repeat (STR) loci targeted in human identification assays. This international collaborative effort, which has been endorsed by the ISFG DNA Commission, provides a framework for communication among laboratories. The initial data used to populate the project are the aggregate alleles observed in targeted sequencing studies across four laboratories: National Institute of Standards and Technology (N=1786), Kings College London (N=1043), University of North Texas Health Sciences Center (N=839), and University of Santiago de Compostela (N=944), for a total of 4612 individuals. STRSeq data are maintained as GenBank records at the U.S. National Center for Biotechnology Information (NCBI), which participates in a daily data exchange with the DNA DataBank of Japan (DDBJ) and the European Nucleotide Archive (ENA). Each GenBank record contains the observed sequence of a STR region, annotation ("bracketing") of the repeat region and flanking region polymorphisms, information regarding the sequencing assay and data quality, and backward compatible length-based allele designation. STRSeq GenBank records are organized within a BioProject at NCBI (https://www.ncbi.nlm.nih.gov/bioproject/380127), which is sub-divided into: commonly used autosomal STRs, alternate autosomal STRs, Y-chromosomal STRs, and X-chromosomal STRs. Each of these categories is further divided into locus-specific BioProjects. The BioProject hierarchy facilitates access to the GenBank records by browsing, BLAST searching, or ftp download. Future plans include user interface tools at strseq.nist.gov, a pathway for submission of additional allele records by laboratories performing population sample sequencing and interaction with the STRidER web portal for quality control (http://strider.online).