OpenAIRE guidelines: supporting interoperability for Data Archives

OpenAIRE supports the European Commission Open Access policy by providing an infrastructure for researchers to comply with the European Union Open Access mandate. The current OpenAIRE infrastructure and services, resulting from OpenAIRE and OpenAIREplus FP7 projects, builds on Open Access research results from a wide range of repositories and other data sources: institutional or thematic publication repositories, Open Access journals, data repositories, Current Research Information Systems and aggregators. (...)

OpenAIRE Guidelines for Literature Repositories, Data Archives and CRIS managers

Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Archiving and Accessing Qualitative Data Programme

There is a growing body of qualitative research data being made available in data archives in both Ireland and the UK. Examples of Irish qualitative data currently available for further analysis include Growing Up in Ireland (GUI) and Life Histories and Social Change in 20th Century Ireland. The Timescapes Research Programme, at the University of Leeds, hosts a wide variety of economic and social research data relevant to child and family researchers; data which is available to researchers in both Northern Ireland and the Republic of Ireland. Access to this data provides researchers with greater opportunities to explore the issues that affect children, their families and their  communities and which may ultimately contribute to informing children's policy. In this the second master class of the Children's Research Network for Ireland and Northern Ireland, participants will learn about the various qualitativ edatasets that are publicly-available for research purposes in the Republic of Ireland and Northern Ireland.

Procedures of quality control and data analysis of multi-site ground-based observations for the absolute flux calibration of Gaia

The Gaia space mission is a major project for the European astronomical community. As challenging as it is, the processing and analysis of the huge data-flow incoming from Gaia is the subject of thorough study and preparatory work by the DPAC (Data Processing and Analysis Consortium), in charge of all aspects of the Gaia data reduction. This PhD Thesis was carried out in the framework of the DPAC, within the team based in Bologna. The task of the Bologna team is to define the calibration model and to build a grid of spectro-photometric standard stars (SPSS) suitable for the absolute flux calibration of the Gaia G-band photometry and the BP/RP spectrophotometry. Such a flux calibration can be performed by repeatedly observing each SPSS during the life-time of the Gaia mission and by comparing the observed Gaia spectra to the spectra obtained by our ground-based observations. Due to both the different observing sites involved and the huge amount of frames expected (≃100000), it is essential to maintain the maximum homogeneity in data quality, acquisition and treatment, and a particular care has to be used to test the capabilities of each telescope/instrument combination (through the “instrument familiarization plan”), to devise methods to keep under control, and eventually to correct for, the typical instrumental effects that can affect the high precision required for the Gaia SPSS grid (a few % with respect to Vega). I contributed to the ground-based survey of Gaia SPSS in many respects: with the observations, the instrument familiarization plan, the data reduction and analysis activities (both photometry and spectroscopy), and to the maintenance of the data archives. However, the field I was personally responsible for was photometry and in particular relative photometry for the production of short-term light curves. In this context I defined and tested a semi-automated pipeline which allows for the pre-reduction of imaging SPSS data and the production of aperture photometry catalogues ready to be used for further analysis. A series of semi-automated quality control criteria are included in the pipeline at various levels, from pre-reduction, to aperture photometry, to light curves production and analysis.

Distributed processing of large remote sensing images using MapReduce - A case of Edge Detection

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Influencia de las creencias religiosas cristianas en la decisión de realizar suicidio asistido al final de la vida

El suicidio asistido como una posible opción al final de la vida, es una idea que hasta ahora está siendo considerada, ya que existen argumentaciones a favor y en contra que han generado controvertidos debates a su alrededor. Algunos de los argumentos en contra están basados en los principios de las instituciones religiosas de orden cristiano, las cuales defienden el valor sagrado de la vida de las personas y la aceptación del sufrimiento como un acto de amor profundo y sumisión a los mandatos de Dios, el creador. Mientras del lado contrario, se encuentran quienes defienden el procedimiento, impulsando la autonomía y la autodeterminación que cada persona tiene sobre su vida. La revisión de la literatura realizada no sólo permite ampliar los argumentos de estas dos posiciones, sino que también permite conocer la historia del suicidio asistido, la posición que este procedimiento tiene en diferentes países del mundo, incluyendo a Colombia, y finalmente se presentan las contribuciones de la psicología entorno al procedimiento en discusión.

Global scale water stages from SAR imagery (GlosSARi) to support global flood forecasting

Despite the success of studies attempting to integrate remotely sensed data and flood modelling and the need to provide near-real time data routinely on a global scale as well as setting up online data archives, there is to date a lack of spatially and temporally distributed hydraulic parameters to support ongoing efforts in modelling. Therefore, the objective of this project is to provide a global evaluation and benchmark data set of floodplain water stages with uncertainties and assimilation in a large scale flood model using space-borne radar imagery. An algorithm is developed for automated retrieval of water stages with uncertainties from a sequence of radar imagery and data are assimilated in a flood model using the Tewkesbury 2007 flood event as a feasibility study. The retrieval method that we employ is based on possibility theory which is an extension of fuzzy sets and that encompasses probability theory. In our case we first attempt to identify main sources of uncertainty in the retrieval of water stages from radar imagery for which we define physically meaningful ranges of parameter values. Possibilities of values are then computed for each parameter using a triangular ‘membership’ function. This procedure allows the computation of possible values of water stages at maximum flood extents along a river at many different locations. At a later stage in the project these data are then used in assimilation, calibration or validation of a flood model. The application is subsequently extended to a global scale using wide swath radar imagery and a simple global flood forecasting model thereby providing improved river discharge estimates to update the latter.

Using the significant dust deposition event on the glaciers of Mt. Elbrus, Caucasus Mountains, Russia on 5 May 2009 to develop a method for dating and "provenancing" of desert dust events recorded in snow pack

A significant desert dust deposition event occurred on Mt. Elbrus, Caucasus Mountains, Russia on 5 May 2009, where the deposited dust later appeared as a brown layer in the snow pack. An examination of dust transportation history and analysis of chemical and physical properties of the deposited dust were used to develop a new approach for high-resolution “provenancing” of dust deposition events recorded in snow pack using multiple independent techniques. A combination of SEVIRI red-green-blue composite imagery, MODIS atmospheric optical depth fields derived using the Deep Blue algorithm, air mass trajectories derived with HYSPLIT model and analysis of meteorological data enabled identification of dust source regions with high temporal (hours) and spatial (ca. 100 km) resolution. Dust, deposited on 5 May 2009, originated in the foothills of the Djebel Akhdar in eastern Libya where dust sources were activated by the intrusion of cold air from the Mediterranean Sea and Saharan low pressure system and transported to the Caucasus along the eastern Mediterranean coast, Syria and Turkey. Particles with an average diameter below 8 μm accounted for 90% of the measured particles in the sample with a mean of 3.58 μm, median 2.48 μm. The chemical signature of this long-travelled dust was significantly different from the locally-produced dust and close to that of soils collected in a palaeolake in the source region, in concentrations of hematite. Potential addition of dust from a secondary source in northern Mesopotamia introduced uncertainty in the “provenancing” of dust from this event. Nevertheless, the approach adopted here enables other dust horizons in the snowpack to be linked to specific dust transport events recorded in remote sensing and meteorological data archives.

Using the significant dust deposition event on the glaciers of Mt. Elbrus, Caucasus Mountains, Russia on 5 May 2009 to develop a method for dating and provenancing of desert dust events recorded in snow pack.

A significant desert dust deposition event occurred on Mt. Elbrus, Caucasus Mountains, Russia on 5 May 2009, where the deposited dust later appeared as a brown layer in the snow pack. An examination of dust transportation history and analysis of chemical and physical properties of the deposited dust were used to develop a new approach for high-resolution provenancing of dust deposition events recorded in snow pack using multiple independent techniques. A combination of SEVIRI red-green-blue composite imagery, MODIS atmospheric optical depth fields derived using the Deep Blue algorithm, air mass trajectories derived with HYSPLIT model and analysis of meteorological data enabled identification of dust source regions with high temporal (hours) and spatial (ca. 100 km) resolution. Dust, deposited on 5 May 2009, originated in the foothills of the Djebel Akhdar in eastern Libya where dust sources were activated by the intrusion of cold air from the Mediterranean Sea and Saharan low pressure system and transported to the Caucasus along the eastern Mediterranean coast, Syria and Turkey. Particles with an average diameter below 8 μm accounted for 90% of the measured particles in the sample with a mean of 3.58 μm, median 2.48 μm and the dominant mode of 0.60 μm. The chemical signature of this long-travelled dust was significantly different from the locally-produced dust and close to that of soils collected in a palaeolake in the source region, in concentrations of hematite and oxides of aluminium, manganese, and magnesium. Potential addition of dust from a secondary source in northern Mesopotamia introduced uncertainty in the provenancing of dust from this event. Nevertheless, the approach adopted here enables other dust horizons in the snowpack to be linked to specific dust transport events recorded in remote sensing and meteorological data archives.

Dissemination of Caribbean census microdata to researchers: Including an experiment in the anonymization of microdata for Grenada and Trinidad and Tobago

Caribbean census microdata are not easily accessible to researchers. Although there are well-established and commonly used procedures technical, administrative and legal which are used to disseminate anonymized census microdata to researchers, they have not been widely used in the Caribbean. The small size of Caribbean countries makes anonymization relatively more difficult and standard methods are not always directly applicable. This study reviews commonly used methods of disseminating census microdata and considers their applicability to the Caribbean. It demonstrates the application of statistical disclosure control methods using the census datasets of Grenada and Trinidad and Tobago and considers various possible designs of microdata release file in terms of disclosure risk and utility to researchers. It then considers how various forms of microdata dissemination: public use files, licensed use files, remote data access and secure data laboratories could be used to disseminate census microdata. It concludes that there is scope for a substantial expansion of access to Caribbean census microdata and that through collaboration with international organisations and data archives, this can be achieved with relatively little burden on statistical offices.

Governos de gabinete e coalizões cíclicas no ultrapresidencialismo estadual: a experiência no Amazonas

OBJETIVO – O propósito de minha pesquisa é analisar os mecanismos que estruturam os governos de gabinete e as coalizões cíclicas no ultrapresidencialismo estadual do Amazonas. Em outras palavras, tenho como foco explicar a lógica do sucesso do governador, de sua coalizão legislativa e de seu gabinete na constituição de uma rede de superdominância nas arenas eleitoral, parlamentar e executiva. PERÍODO – Neste estudo de caso, analiso quatro administrações de três governadores do Amazonas: Gilberto Mestrinho (1991-1994), Amazonino Mendes (1995-1998 e 1999-2002) e Eduardo Braga (2003-2006); e quatro legislaturas da Assembleia Legislativa (ALEAM). TEORIA – Como orientação teórica, uso as contribuições da teoria da escolha pública e da análise institucional. Parto da premissa de que o governador joga tentando maximizar sua renda de utilidade dentro de uma dada estrutura institucional (permeada pela lógica do gubernatorial coattails) que incentiva a interação estratégica cooperativa e durável entre os principais jogadores (governador, deputados estaduais, secretários e cidadãos-eleitores) em múltiplas arenas decisórias. METODOLOGIA – Primeiramente, utilizo o banco de dados do Laboratório de Estudos Experimentais (LEEX) para montar um mapa da dinâmica eleitoral, partidária e parlamentar recente. Depois, trabalho com o banco de dados da Assembleia Legislativa do Amazonas para verificar a organização da produção legislativa (os projetos de lei ordinária aprovados) e a eficácia da coalizão partidário-parlamentar do governador. Finalmente, manuseio o meu próprio banco de dados sobre a rotatividade do secretariado e, por conseguinte, aplico e calculo o índice de coalescência para estimar os níveis de proporcionalidade dos governos de gabinetes ultrapresidenciais. CONCLUSÃO E RESULTADOS – Os governadores acumulam o monopólio do poder de agenda decisória do Executivo e controlam com muita eficiência a agenda do Legislativo; além do mais distribuem recursos de patronagem como incentivos seletivos para os seus aliados nos jogos em múltiplas arenas. Como consequência, cheguei à conclusão de que a formação de maiorias no contexto do ultrapresidencialismo estadual se realiza, por um lado, pelo surgimento de coalizões cíclicas de amplo apoio partidário na arena legislativa; e, por outro, pela edificação de governos de gabinete com a participação pendular de parlamentares, partidários e especialistas.

Burrowing times and proportions of Mesodesma donacium

Data archives with raw data of burrowing times and proportions of succesfully burrowed clams.

School-Based Referrals to the Juvenile Courts: Prevalence and Characteristics in Several States

Effective school discipline practices are essential to keeping schools safe and creating an optimal learning environment. However, the overreliance of exclusionary discipline often removes students from the school setting and deprives them of the opportunity to learn. Previous research has suggested that students are being introduced to the juvenile justice system through the use of school-based juvenile court referrals. In 2011, approximately 1.2 million delinquency cases were referred to the juvenile courts in the United States. Preliminary evidence suggests that an increasing number of these referrals have originated in the schools. This study investigated school-based referrals to the juvenile courts as an element of the School-to-Prison Pipeline (StPP). The likelihood of school-based juvenile court referrals and rate of dismissal of these referrals was examined in several states using data from the National Juvenile Court Data Archives. In addition, the study examined race and special education status as predictors of school-based juvenile court referrals. Descriptive statistics, logistic regression and odds ratio, were used to analyze the data, make conclusions based on the findings and recommend appropriate school discipline practices.

Participant association and emergent curriculum in a MOOC: can the community be the curriculum?

We investigated how participants associated with each other and developed community in a Massive Open Online Course (MOOC) about Rhizomatic Learning (Rhizo14). We compared learner experiences in two social networking sites (SNSs), Facebook and Twitter. Our combination of thematic analysis of qualitative survey data with analysis of participant observation, activity data, archives and visualisation of SNS data enabled us to reach a deeper understanding of participant perspectives and explore SNS use. Community was present in the course title and understood differently by participants. In the absence of explanation or discussion about community early in the MOOC, a controversy between participants about course expectations emerged that created oppositional discourse. Fall off in activity in MOOCs is common and was evident in Rhizo14. As the course progressed, fewer participants were active in Facebook and some participants reported feelings of exclusion. Despite this, activity in Facebook increased overall. The top 10 most active participants were responsible for 47% of total activity. In the Rhizo14 MOOC, both community and curriculum were expected to emerge within the course. We suggest that there are tensions and even contradictions between ‘Community Is the Curriculum’ and Deleuze and Guattari's principles of the rhizome, mainly focussed on an absence of heterogeneity. These tensions may be exacerbated by SNSs that use algorithmic streams. We propose the use of networking approaches that enable negotiation and exchange to encourage heterogeneity rather than emergent definition of community.