The OBAA Standard for Developing Repositories of Learning Objects: the Case of Ocean Literacy in Azores

This paper describes the existing web resources of learning objects to promote ocean literacy. The several projects and sites are explored, and the shortcomings revealed. The limitations identified include insufficient metadata about registered learning objects and lack of support for intelligent applications. As solution, we promote the seaThings project that relies on a multi-disciplinary approach to promote literacy in the marine environment by implementing a specific Learning Objects repositories (LOR) and a federation of repositories (FED), supported by a OBAA, a versatile and innovative standard that will provide the necessary support for intelligent applications for education purposes, to be used in schools and other educational institutions.info:eu-repo/semantics/publishedVersio

Producing Linked Open Dataset from Bibliographic Data with Integration of External Data Sources for Academic Libraries

This paper has focused on transformation of bibliographic data to linked open data (LOD) as RDF(Resource Description Framework) triple model with integration of external resources. Library & Information centres and knowledge centres deal with various types of databases like bibliographic databases, full text databases, archival databases, statistical databases, CD/DVD ROM databases and more. Presently, web technology changes storing, processing, and disseminating services rapidly. The semantic web technology is an advance technology of web platform which provides structured data on web for describing and retrieving by the organization or institutions. It may provide more information from other external resources to the users. The main objective of this paper is transformation of library bibliographic data, based on MARC21, to RDF triple format as LOD with enrichment of external LOD dataset. External resources like OpenLibrary, VIAF, Wikidata, DBpedia, GeoNames etc. We have proposed a Workflow model (Figure-1) to visualize details steps, activities, components for transforming bibliographic data to LOD dataset. The methodology of this work includes the various methods and steps for conducting such research work. Here we have used an open source tool OpenRefine (version 3.2), formally it is known as GoogleRefine. The OpenRefine tool is used for managing and organizing the messy data with different attribute like row-column manipulation, reconciliation manipulation, different format manipulation like XML, JSON, N-Triple, RDF etc. The OpenRefine tool has played the various roles for the research work such as insertion of URI column, link generation, reconciliation data for external sources, conversion of source format to RDF format etc. After conversion of whole bibliographic data into RDF triple format as considerable LOD dataset. At the production page we may find a RDF file of bibliographic data. This LOD dataset may further be used by the organizations or institutions for their advanced bibliographic service

Simple identification tools in FishBase

Simple identification tools for fish species were included in the FishBase information system from its inception. Early tools made use of the relational model and characters like fin ray meristics. Soon pictures and drawings were added as a further help, similar to a field guide. Later came the computerization of existing dichotomous keys, again in combination with pictures and other information, and the ability to restrict possible species by country, area, or taxonomic group. Today, www.FishBase.org offers four different ways to identify species. This paper describes these tools with their advantages and disadvantages, and suggests various options for further development. It explores the possibility of a holistic and integrated computeraided strategy

Data hosting infrastructure for primary biodiversity data

© The Author(s), 2011. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in BMC Bioinformatics 12 Suppl. 15 (2011): S5, doi:10.1186/1471-2105-12-S15-S5.Today, an unprecedented volume of primary biodiversity data are being generated worldwide, yet significant amounts of these data have been and will continue to be lost after the conclusion of the projects tasked with collecting them. To get the most value out of these data it is imperative to seek a solution whereby these data are rescued, archived and made available to the biodiversity community. To this end, the biodiversity informatics community requires investment in processes and infrastructure to mitigate data loss and provide solutions for long-term hosting and sharing of biodiversity data. We review the current state of biodiversity data hosting and investigate the technological and sociological barriers to proper data management. We further explore the rescuing and re-hosting of legacy data, the state of existing toolsets and propose a future direction for the development of new discovery tools. We also explore the role of data standards and licensing in the context of data hosting and preservation. We provide five recommendations for the biodiversity community that will foster better data preservation and access: (1) encourage the community's use of data standards, (2) promote the public domain licensing of data, (3) establish a community of those involved in data hosting and archival, (4) establish hosting centers for biodiversity data, and (5) develop tools for data discovery. The community's adoption of standards and development of tools to enable data discovery is essential to sustainable data preservation. Furthermore, the increased adoption of open content licensing, the establishment of data hosting infrastructure and the creation of a data hosting and archiving community are all necessary steps towards the community ensuring that data archival policies become standardized

Towards Interoperable Research Infrastructures for Environmental and Earth Sciences

This open access book summarises the latest developments on data management in the EU H2020 ENVRIplus project, which brought together more than 20 environmental and Earth science research infrastructures into a single community. It provides readers with a systematic overview of the common challenges faced by research infrastructures and how a ‘reference model guided’ engineering approach can be used to achieve greater interoperability among such infrastructures in the environmental and earth sciences. The 20 contributions in this book are structured in 5 parts on the design, development, deployment, operation and use of research infrastructures. Part one provides an overview of the state of the art of research infrastructure and relevant e-Infrastructure technologies, part two discusses the reference model guided engineering approach, the third part presents the software and tools developed for common data management challenges, the fourth part demonstrates the software via several use cases, and the last part discusses the sustainability and future directions

Linking genes to literature: text mining, information extraction, and retrieval applications for biology

Efficient access to information contained in online scientific literature collections is essential for life science research, playing a crucial role from the initial stage of experiment planning to the final interpretation and communication of the results. The biological literature also constitutes the main information source for manual literature curation used by expert-curated databases. Following the increasing popularity of web-based applications for analyzing biological data, new text-mining and information extraction strategies are being implemented. These systems exploit existing regularities in natural language to extract biologically relevant information from electronic texts automatically. The aim of the BioCreative challenge is to promote the development of such tools and to provide insight into their performance. This review presents a general introduction to the main characteristics and applications of currently available text-mining systems for life sciences in terms of the following: the type of biological information demands being addressed; the level of information granularity of both user queries and results; and the features and methods commonly exploited by these applications. The current trend in biomedical text mining points toward an increasing diversification in terms of application types and techniques, together with integration of domain-specific resources such as ontologies. Additional descriptions of some of the systems discussed here are available on the internet

Technical assessment of GeoSUR and comparison with INSPIRE experience in the context of an environmental vulnerability analysis

The use of spatial information has become an important resource for decision support making at national and regional levels. In this respect, several private and public organizations are continuously collecting and producing geospatial data. However, there are still problems that affect the usage of spatial information. As a response to these problems, several spatial data sharing initiatives have been implemented at national, regional and global level. This is also the case of the Infrastructure for Spatial Information in the European Community (INSPIRE) and the Integrated Geospatial Information Network for South America (GeoSUR), both created in 2007. GeoSUR works together with the PAIGH, the Geocentric Reference System for the Americas (SIRGAS) and the Permanent Committee on Geospatial Data Infrastructure for the Americas (PC-IDEA) to consolidate the Spatial Data Infrastructure of the Americas. In this context, the role of GeoSUR is to provide the distribution platform for the SDI and develop geoservices and applications based on institutional spatial databases. This research performs a technical assessment of GeoSUR to identify the extent to which the spatial resources provided by the network area accessible, applicable and usable for decision making processes at regional (multinational) level. In order to do so, this study is conducted in the context of a real case study that implements Spatial Multicriteria Evaluation to assess the environmental vulnerability of the Amazon IIRSA region. Results show strengths at finding spatial resources, and regarding the accessibility to regional datasets in GeoSUR. However several obstacles still limit accessibility, applicability and usability of spatial data to perform regional analysis. In this respect, elements considered by INSPIRE such as common implementing rules and technical guidelines are identified as useful to tackle these obstacles and make the spatial services and datasets of the participant institutions compatible to perform regional analysis.The use of spatial information has become an important resource for decision making. In this respect, several private and public organizations are continuously collecting and producing geospatial data. However, there are still problems that limit the access and usage of spatial information for all people requiring it. As a response to these problems, several initiatives to share and reuse spatial data have been created. The Infrastructure for Spatial Information in the European Community (INSPIRE) and the Integrated Geospatial Information Network for South America (GeoSUR) -both created in 2007- are examples of such initiatives. This study aims to identify to which extent the technical characteristics of the spatial resources available in GeoSUR website allow to support decisions at multinational level in Latin America. In order to do so, an evaluation of how sensitive is the natural environment to degradation is conducted as a case study to select the resources to be assessed. Results show that is relatively easy to discover spatial resources in GeoSUR, but is difficult to download them. Considering INSPIRE as a model in spatial data sharing, it is concluded that some elements from INSPIRE can be gathered and adapted by GeoSUR to improve the characteristics of the spatial data offered