Digital libraries for the preservation of research methods and associated artifacts

New digital artifacts are emerging in data-intensive science. For example, scientific workflows are executable descriptions of scientific procedures that define the sequence of computational steps in an automated data analysis, supporting reproducible research and the sharing and replication of best-practice and know-how through reuse. Workflows are specified at design time and interpreted through their execution in a variety of situations, environments, and domains. Hence it is essential to preserve both their static and dynamic aspects, along with the research context in which they are used. To achieve this, we propose the use of multidimensional digital objects (Research Objects) that aggregate the resources used and/or produced in scientific investigations, including workflow models, provenance of their executions, and links to the relevant associated resources, along with the provision of technological support for their preservation and efficient retrieval and reuse. In this direction, we specified a software architecture for the design and implementation of a Research Object preservation system, and realized this architecture with a set of services and clients, drawing together practices in digital libraries, preservation systems, workflow management, social networking and Semantic Web technologies. In this paper, we describe the backbone system of this realization, a digital library system built on top of dLibra.

Structuring research methods and data with the research object model: genomics workflows as a case study

Background: One of the main challenges for biomedical research lies in the computer-assisted integrative study of large and increasingly complex combinations of data in order to understand molecular mechanisms. The preservation of the materials and methods of such computational experiments with clear annotations is essential for understanding an experiment, and this is increasingly recognized in the bioinformatics community. Our assumption is that offering means of digital, structured aggregation and annotation of the objects of an experiment will provide necessary meta-data for a scientist to understand and recreate the results of an experiment. To support this we explored a model for the semantic description of a workflow-centric Research Object (RO), where an RO is defined as a resource that aggregates other resources, e.g., datasets, software, spreadsheets, text, etc. We applied this model to a case study where we analysed human metabolite variation by workflows. Results: We present the application of the workflow-centric RO model for our bioinformatics case study. Three workflows were produced following recently defined Best Practices for workflow design. By modelling the experiment as an RO, we were able to automatically query the experiment and answer questions such as “which particular data was input to a particular workflow to test a particular hypothesis?”, and “which particular conclusions were drawn from a particular workflow?”. Conclusions: Applying a workflow-centric RO model to aggregate and annotate the resources used in a bioinformatics experiment, allowed us to retrieve the conclusions of the experiment in the context of the driving hypothesis, the executed workflows and their input data. The RO model is an extendable reference model that can be used by other systems as well.

Estudio de los riesgos técnicos aplicados al diseño y construcción de cimentaciones para máquinas

En el Código Técnico de la Edificación se define el riesgo como medida del alcance del peligro que representa un evento no deseado para las personas, expresado en términos de probabilidad vinculada a las consecuencias de un evento, también se expresa como Exigencia Básica de Resistencia y Estabilidad, que estas serán las adecuadas para que no se generen riesgos indebidos manteniendo la resistencia y estabilidad frente a las acciones e influencias previsibles durante la construcción y usos previstos de los edificios, y que además, los posibles eventos extraordinarios que puedan producirse no originen consecuencias desproporcionadas respecto a la causa original. Es ahora donde la gestión de riesgos juega un papel muy importante en la sociedad moderna, siendo esta cada vez más exigente con los resultados y calidad de productos y servicios, además de cumplir también con la responsabilidad jurídica que trae la concepción, diseño y construcción de proyectos de gran envergadura como los son la obra civil y edificación. La obra civil destinada al sector industrial debe ser ejecutada con la mayor precisión posible, pues requiere la instalación de complejos equipos y sistemas productivos que pueden producir esfuerzos dinámicos que muchas veces no se consideran en el diseño de los cimientos que lo soportan, razón por la cual interviene la gestión de riesgos para conocer y reducir los posibles riesgos de fallos que se puedan generar y así intentar aproximarse cada vez más al desarrollo de diseños eficientes y confiables, afianzando la exactitud y minimizando errores en la producción y elaboración de piezas, sistemas y equipos de las distintas áreas productivas de la industria. El presente trabajo de investigación se centra en el estudio de los riesgos técnicos existentes en el diseño y ejecución de cimentaciones para maquinarias, mediante la aplicación de varios métodos de investigación, a fin de intentar cubrir los aspectos más importantes que puedan incurrir en una posible causa de fallo de la estructura, evaluando el acoplamiento entre el sistema máquina-cimiento-suelo. Risk is defined, by the Technical Building Code (Código Técnico de la Edificación, CTE) as a measure of the scope of the hazard of an undesired event for people, expressed in terms of probability related to the consequences of an event, also is expressed as a Basic Requirement Strength and Stability these will be appropriate to not cause undue risk maintaining strength and stability against predictable actions and influences during construction and expected uses of the buildings. Nowadays, Risk Management is an important process in modern society, becoming ever more demanding about the results and quality of products and services, and also complies with the legal responsibility that brings the conception, design and construction of large projects as are civil engineering and construction projects. Civil work as a part of industry must be performed as accurately as possible, requiring the installation of sophisticated equipment and production systems which can produce dynamic forces that often are not considered in the design of the foundations, this is the reason why risk management is involved to understand and reduce the risks of failures that may arise and try to move closer to the development of efficient and reliable designs, strengthening the accuracy and minimizing errors in the production and processing of parts, systems and equipments from different production areas of the industry. This paper is a study of existing technical risks in the design and execution of foundations for machinery, through the application of various research methods, in order to try to cover the most important aspects that may produce the failure of the structure, evaluating the union between the machine-foundation system and soil.