Elements of resource representation in institutional repositories: a bibliographic review

This review focuses on identifying how the literature studies the existing problems in the Resource Representation (RR) of Institutional Repositories (IR). RR is a process of recording in a persistent manner a set of data (metadata) as a synthesis and replacement of the "real" object, to allow its identification, retrieval and dissemination. RR is defined by certain elements: resources, metadata schema, storage and cataloging. On the other hand, IRs are based on functional processes according to the material that is deposited and the ISO 14.721 standard: ingest, storage, cataloging,indexing, search engine and browsing. The results of this review show that identifying the problems found in these elements and functional processes is not a subject of study for the researchers, which leads to a vacant area in this field, and in this way to solve some of the problems present in the RI, from the point of view of functional elements and processes.Servicio de Difusión de la Creación Intelectual (SEDICI

Cleaning up Minnesota\u27s Archeological Record with MAID: The Minnesota Archeological Integrated Database

Minnesota archeologists face many difficulties in conducting archeological research and managing the state\u27s cultural resources such as a lack of standardized data formats and field/lab procedures, a lack of a centralized data repository, and insufficient existing databases. The purpose of this thesis is to build the foundation for a database system that addresses these difficulties along with being efficient and effective for entering, managing, and analyzing archeological data produced in the field and in the lab. The Minnesota Archeological Integrated Database is being built to be a long-lasting, constantly evolving system to be used by archeologists and cultural resource managers for years to come

An Empirical Analysis of Vulnerabilities in Python Packages for Web Applications

This paper examines software vulnerabilities in common Python packages used particularly for web development. The empirical dataset is based on the PyPI package repository and the so-called Safety DB used to track vulnerabilities in selected packages within the repository. The methodological approach builds on a release-based time series analysis of the conditional probabilities for the releases of the packages to be vulnerable. According to the results, many of the Python vulnerabilities observed seem to be only modestly severe; input validation and cross-site scripting have been the most typical vulnerabilities. In terms of the time series analysis based on the release histories, only the recent past is observed to be relevant for statistical predictions; the classical Markov property holds.Comment: Forthcoming in: Proceedings of the 9th International Workshop on Empirical Software Engineering in Practice (IWESEP 2018), Nara, IEE

MDE en la generación de aplicaciones para Repositorios Institucionales

En el 2012 el Repositorio Institucional de la Universidad Nacional de La Plata, SEDICI, realizó un proceso de migración de Celsius DL a DSpace, donde se evidenció el problema de la representación de recursos, problema recurrente estudiado por algunos autores, no obstante, los trabajos revisados abordan el tema en forma general, no se toma en cuenta el recurso como el eje central. El objetivo central fue dar una solución al problema de la representación de recursos en SEDICI. La solución se planteó en desarrollar un marco de referencia que permitió el desarrollo de aplicaciones, replicable a otros repositorios y bajo el paradigma Model Driven Engineering (MDE) para la implementación de la solución. El marco de referencia se estructuró en 5 módulos. Esta investigación dió respuesta al objetivo planteado y vinculó premisas devenidas de tres disciplinas: Ciencias de la Información, Ciencias Documentales y Ciencias de la Computación. La evaluación de la escritura de textos se realizó a partir de una consigna que solicita producir un escrito sobre un animal (a elección del alumno) y que diferencia dos pasos: la elaboración de un borrador y la producción de una versión final en un espacio destinado para tal fin, considerando un conjunto de recomendaciones que hacen a la revisión de lo elaborado. Los datos se recogieron en los establecimientos educativos, aplicándose el instrumento descripto en forma colectiva

MDE en la generación de aplicaciones para Repositorios Institucionales

En el 2012 el Repositorio Institucional de la Universidad Nacional de La Plata, SEDICI, realizó un proceso de migración de Celsius DL a DSpace, donde se evidenció el problema de la representación de recursos, problema recurrente estudiado por algunos autores, no obstante, los trabajos revisados abordan el tema en forma general, no se toma en cuenta el recurso como el eje central. El objetivo central fue dar una solución al problema de la representación de recursos en SEDICI. La solución se planteó en desarrollar un marco de referencia que permitió el desarrollo de aplicaciones, replicable a otros repositorios y bajo el paradigma Model Driven Engineering (MDE) para la implementación de la solución. El marco de referencia se estructuró en 5 módulos. Esta investigación dió respuesta al objetivo planteado y vinculó premisas devenidas de tres disciplinas: Ciencias de la Información, Ciencias Documentales y Ciencias de la Computación. La evaluación de la escritura de textos se realizó a partir de una consigna que solicita producir un escrito sobre un animal (a elección del alumno) y que diferencia dos pasos: la elaboración de un borrador y la producción de una versión final en un espacio destinado para tal fin, considerando un conjunto de recomendaciones que hacen a la revisión de lo elaborado. Los datos se recogieron en los establecimientos educativos, aplicándose el instrumento descripto en forma colectiva

Toward a Flexible Metadata Pipeline for Fish Specimen Images

Flexible metadata pipelines are crucial for supporting the FAIR data principles. Despite this need, researchers seldom report their approaches for identifying metadata standards and protocols that support optimal flexibility. This paper reports on an initiative targeting the development of a flexible metadata pipeline for a collection containing over 300,000 digital fish specimen images, harvested from multiple data repositories and fish collections. The images and their associated metadata are being used for AI-related scientific research involving automated species identification, segmentation and trait extraction. The paper provides contextual background, followed by the presentation of a four-phased approach involving: 1. Assessment of the Problem, 2. Investigation of Solutions, 3. Implementation, and 4. Refinement. The work is part of the NSF Harnessing the Data Revolution, Biology Guided Neural Networks (NSF/HDR-BGNN) project and the HDR Imageomics Institute. An RDF graph prototype pipeline is presented, followed by a discussion of research implications and conclusion summarizing the results.Comment: 12 pages. 5 figures. Presented at the 16th International Conference on Metadata and Semantics Research. To be published in the conference proceedings of Metadata and Semantic Research: 16th International Conference, MTSR 2022, London, United Kingdom, November 8-10, 202

The devices, experimental scaffolds, and biomaterials ontology (DEB): a tool for mapping, annotation, and analysis of biomaterials' data

The size and complexity of the biomaterials literature makes systematic data analysis an excruciating manual task. A practical solution is creating databases and information resources. Implant design and biomaterials research can greatly benefit from an open database for systematic data retrieval. Ontologies are pivotal to knowledge base creation, serving to represent and organize domain knowledge. To name but two examples, GO, the gene ontology, and CheBI, Chemical Entities of Biological Interest ontology and their associated databases are central resources to their respective research communities. The creation of the devices, experimental scaffolds, and biomaterials ontology (DEB), an open resource for organizing information about biomaterials, their design, manufacture, and biological testing, is described. It is developed using text analysis for identifying ontology terms from a biomaterials gold standard corpus, systematically curated to represent the domain's lexicon. Topics covered are validated by members of the biomaterials research community. The ontology may be used for searching terms, performing annotations for machine learning applications, standardized meta-data indexing, and other cross-disciplinary data exploitation. The input of the biomaterials community to this effort to create data-driven open-access research tools is encouraged and welcomed.Preprin