Diário da Câmara dos Deputados : uma proposta de requisitos de organização e arquitetura da informação para a representação da informação na Biblioteca Digital da Câmara dos Deputados

Pretende verificar a conveniência do armazenamento do Diário da Câmara dos Deputados na Biblioteca Digital da Câmara dos Deputados, com vistas à recuperação do seu conteúdo informacional. A revisão de literatura ressalta a importância do DCD como fonte oficial de publicidade das atividades parlamentares, bem como traz a fundamentação da Biblioteca Digital como repositório institucional e ferramenta importante para apoiar a organização e recuperação da informação bibliográfica na Câmara dos Deputados. O objetivo geral do estudo consistiu em propor um conjunto de metadados de descrição física e temática como requisitos para a organização e representação dos conteúdos informacionais do DCD. A metodologia utilizada permitiu, além do embasamento teórico, a análise dos sistemas de informação da Casa Legislativa, os conteúdos do Diário e, por meio da aplicação de questionário, verificar a visão dos usuários da Coordenação de Relacionamento, Pesquisa e Informação sobre a recuperação das informações do Diário a partir dos sistemas de informação corporativos e locais. Em conclusão constatou-se que a grande maioria das informações publicadas no DCD é passível de recuperação em diversos sistemas de informação, o que, no entanto, não garante a qualidade e tempestividade na recuperação.

Ontologies for representation of folk song metadata

The digital management of collections in museums, archives, libraries and galleries is an increasingly important part of cultural heritage studies. This paper describes a representation for folk song metadata, based on the Web Ontology Language (OWL) implementation of the CIDOC Conceptual Reference Model. The OWL representation facilitates encoding and reasoning over a genre ontology, while the CIDOC model enables a representation of complex spatial containment and proximity relations among geographic regions. It is shown how complex queries of folk song metadata, relying on inference and not only retrieval, can be expressed in OWL and solved using a description logic reasoner.

Intensive Program ERASMUS: TOPCART. Geometric Documentation of the Heritage (administrative and academic documentation)

[EN] This academic activity has been the origin of other work that are also located in this repository. The first one is the dataset of information about the geometry of the Monastery recorded during the two years of fieldwork, then some bachelor thesis and papers are listed:

Exploring the Metrics of the Aquatic Commons repository

17 slide Powerpoint presentation on the deposit and download rates associated with Aquatic Commons from its founding in August 2007 to April 2009.

DADAISM Project Plan

The DADAISM project brings together researchers from the diverse fields of archaeology, human computer interaction, image processing, image search and retrieval, and text mining to create a rich interactive system to address the problems of researchers finding images relevant to their research. In the age of digital photography, thousands of images are taken of archaeological artefacts. These images could help archaeologists enormously in their tasks of classification and identification if they could be related to one another effectively. They would yield many new insights on a range of archaeological problems. However, these images are currently greatly underutilized for two key reasons. Firstly, the current paradigm for interaction with image collections is basic keyword search or, at best, simple faceted search. Secondly, even if these interactions are possible, the metadata related to the majority of images of archaeological artefacts is scarce in information relating to the content of the image and the nature of the artefact, and is time intensive to enter manually. DADAISM will transform the way in which archaeologists interact with online image collections. It will deploy user-centred design methodologies to create an interactive system that goes well beyond current systems for working with images, and will support archaeologists’ tasks of finding, organising, relating and labelling images as well as other relevant sources of information such as grey literature documents.

Scientific Data Application Profile Scoping Study

This study was undertaken by UKOLN on behalf of the Joint Information Systems Committee (JISC) in the period April to September 2008. Application profiles are metadata schemata which consist of data elements drawn from one or more namespaces, optimized for a particular local application. They offer a way for particular communities to base the interoperability specifications they create and use for their digital material on established open standards. This offers the potential for digital materials to be accessed, used and curated effectively both within and beyond the communities in which they were created. The JISC recognized the need to undertake a scoping study to investigate metadata application profile requirements for scientific data in relation to digital repositories, and specifically concerning descriptive metadata to support resource discovery and other functions such as preservation. This followed on from the development of the Scholarly Works Application Profile (SWAP) undertaken within the JISC Digital Repositories Programme and led by Andy Powell (Eduserv Foundation) and Julie Allinson (RRT UKOLN) on behalf of the JISC. Aims and Objectives 1.To assess whether a single metadata AP for research data, or a small number thereof, would improve resource discovery or discovery-to-delivery in any useful or significant way. 2.If so, then to:a.assess whether the development of such AP(s) is practical and if so, how much effort it would take; b.scope a community uptake strategy that is likely to be successful, identifying the main barriers and key stakeholders. 3.Otherwise, to investigate how best to improve cross-discipline, cross-community discovery-to-delivery for research data, and make recommendations to the JISC and others as appropriate. Approach The Study used a broad conception of what constitutes scientific data, namely data gathered, collated, structured and analysed using a recognizably scientific method, with a bias towards quantitative methods. The approach taken was to map out the landscape of existing data centres, repositories and associated projects, and conduct a survey of the discovery-to-delivery metadata they use or have defined, alongside any insights they have gained from working with this metadata. This was followed up by a series of unstructured interviews, discussing use cases for a Scientific Data Application Profile, and how widely a single profile might be applied. On the latter point, matters of granularity, the experimental/measurement contrast, the quantitative/qualitative contrast, the raw/derived data contrast, and the homogeneous/heterogeneous data collection contrast were discussed. The Study report was loosely structured according to the Singapore Framework for Dublin Core Application Profiles, and in turn considered: the possible use cases for a Scientific Data Application Profile; existing domain models that could either be used or adapted for use within such a profile; and a comparison existing metadata profiles and standards to identify candidate elements for inclusion in the description set profile for scientific data. The report also considered how the application profile might be implemented, its relationship to other application profiles, the alternatives to constructing a Scientific Data Application Profile, the development effort required, and what could be done to encourage uptake in the community. The conclusions of the Study were validated through a reference group of stakeholders.

Promoting the institutional repository at the University of West London

Implementing resource discovery techniques at the University of West London Promoting the institutional repository at the University of West London

KE Workshop Report - Main Drivers for Successful re-use of Research Data

On 23-24 September 2009 an international discussion workshop on “Main Drivers for Successful Re-Use of Research Data” was held in Berlin, prepared and organised by the Knowledge Exchange working group on Primary Research Data. The main focus of the workshop was on the benefits, challenges and obstacles of re-using data from a researcher’s perspective. The use cases presented by researchers from a variety of disciplines were supplemented by two key notes and selected presentations by specialists from infrastructure institutions, publishers, and funding bodies on national and European level. Researchers' perspectives The workshop provided a critical evaluation of what lessons have been learned on sharing and re-using research data from a researcher’s perspective and what actions might be taken on to still improve the successful re-use. Despite the individual differences characterising the diverse disciplines it became clear that important issues are comparable. Combine forces to support re-use and sharing of data Apart from several technical challenges such as metadata exchange standards and quality assurance it was obvious that the most important obstacles to re-using research data more efficiently are socially determined. It was agreed that in order to overcome this problem more efforts should be made to rise awareness and combine forces to support re-using and sharing of research data on all levels (researchers, institutions, publishers, funders, governments).

Android App para Multilingual Central Repository

El objetivo del proyecto es crear una aplicación Android usando la base de conocimiento multilingüe Multilingual Central Repository 3.0 (MCR 3.0).

Management and Promotion of Digitization Projects: Geologic Atlas of the US

The Geologic Atlas of the United States was digitized and stored in the Texas A&M University institutional repository. Extensive metadata was created which emphasized the geographic and geologic aspects of the material. The map sheets were also convered into kml files for Google Earth and ESRI shape files for use in GIS. A Yahoo!Map interface allows for visualization of the locations of each folio and user friendly browsing across the collection. Details of the project will be discussed, including the selection, digitization methods and standards, preservation, metadata, web presence and staffing. Its storage in DSpace, assortment of publicity outlets, and its inclusion in targeted clearinghouses expand its potential use to national and international audiences.

Research on storing raster metadata in spatial database

Storage of raster metadata is a key topic in spatial database. Although there are a few of abstract standards on raster metadata, there is not implement standard about it. This paper concludes three storage models implemented in current spatial databases and discusses their advantages and disadvantages. After that analyzing, the paper proposes a mixed storage method which is used the relational table to store structured metadata and used XML to store non-structured metadata, and gives its implementation solution. © 2010 IEEE.

The DSpace Course - Item Submission Workflows

This module will introduce the item submission workflows available in DSpace. Workflows allow submissions to be checked before entering the repository. Submissions may be checked for accuracy, in order to improve the metadata, or simply to decide if they are OK to be archived. The module will show the three workflow steps available in DSpace, along with details about adding, changing and removing them from the submission process of collections.

OpenBU: Institutional Repository Procedures Manual

(adapted from the DSpace Procedures Manual developed by Kalamazoo College Digital Archive)

Overview of FEED, the feeding experiments end-user database.

The Feeding Experiments End-user Database (FEED) is a research tool developed by the Mammalian Feeding Working Group at the National Evolutionary Synthesis Center that permits synthetic, evolutionary analyses of the physiology of mammalian feeding. The tasks of the Working Group are to compile physiologic data sets into a uniform digital format stored at a central source, develop a standardized terminology for describing and organizing the data, and carry out a set of novel analyses using FEED. FEED contains raw physiologic data linked to extensive metadata. It serves as an archive for a large number of existing data sets and a repository for future data sets. The metadata are stored as text and images that describe experimental protocols, research subjects, and anatomical information. The metadata incorporate controlled vocabularies to allow consistent use of the terms used to describe and organize the physiologic data. The planned analyses address long-standing questions concerning the phylogenetic distribution of phenotypes involving muscle anatomy and feeding physiology among mammals, the presence and nature of motor pattern conservation in the mammalian feeding muscles, and the extent to which suckling constrains the evolution of feeding behavior in adult mammals. We expect FEED to be a growing digital archive that will facilitate new research into understanding the evolution of feeding anatomy.