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This document lays out some potential pathways for the future development and sustainability of the InGRID research infrastructure. It is a summary and compilation of key documents prepared under the InGRID-2 project and its work plan, including three strategic notes on data, methods and policy.

Chronic osteomyelitis is an inflammatory process of the bone caused by an infectious agent. This condition leads to altered bone vascularization and thus to bone destruction and formation of necrotic bone fragments (sequestrum). The treatment of chronic osteomyelitis is primarily based on surgical management, which includes debridement of the sequestrum and sampling of bone tissue for microbiological analysis in order to initiate a targeted antibiotic therapy. A multidisciplinary approach is essential, involving expertise in orthopedic surgery, musculoskeletal imaging and nuclear medicine, infectious diseases, as well as plastic or vascular surgery for complex cases with soft tissue and/or vascular defects.

Apesar de relativamente alta (7,7 t ha-1), a produtividade média do arroz irrigado no Estado do Rio Grande Sul (RS) pode ser ainda maior, se as práticas de manejo forem realizadas no momento mais adequado, considerando a data de ocorrência dos principais estádios de desenvolvimento da planta (EDP). O objetivo deste artigo foi demonstrar os fundamentos e a utilização do software PlanejArroz para estimar a data de ocorrência de seis EDP, visando o manejo da cultura, e a produtividade de grãos esperada. Com base no método de graus-dia, o software estima a data de cada um dos seis EDP, usando séries históricas (30 anos) de dados climáticos, e atualiza essas estimativas usando os dados meteorológicos da safra em andamento. Essas informações podem ser geradas para 131 municípios produtores de arroz e para 41 cultivares recomendadas para cultivo no RS. Da mesma forma, a produtividade de grãos, para as três cultivares mais semeadas, pode ser estimada como média de 30 anos e para a safra em andamento. O PlanejArroz é uma ferramenta que permite que as práticas de manejo sejam realizadas no momento mais adequado, estimando a data de ocorrência de seis EDP associados a essas práticas. Também é possível simular as datas de semeadura mais adequadas e obter a produtividade média de grãos esperada para a safra atual. Made available in DSpace on 2021-06-30T02:23:17Z (GMT). No. of bitstreams: 1 26847-128721-1-PB.pdf: 1042189 bytes, checksum: bf57f330848ae714446898c7e855d87d (MD5) Previous issue date: 2021

Deze factsheet beschrijft de situatie van bewoners in instellingen voor verpleging en verzorging tijdens en na het beëindigen van het landelijke bezoekverbod in 2020. In mei en juni/juli is online vragenlijst onderzoek uitgevoerd naar de gevolgen van sociale isolatie door het nieuwe coronavirus in verpleeghuizen en woonzorgcentra. Voor beide metingen zijn deelnemers (bewoners, familieleden en zorgmedewerkers) onafhankelijk van elkaar geworven. Over het algemeen werd kwaliteit van leven in juni/juli vaker belangrijk gevonden dan veiligheid, en leken deelnemers meer bereid dan in mei om het risico van besmettingen te accepteren door bezoek toe te laten. Hoewel bewoners weer twee tot drie keer per week bezoek konden ontvangen, waren zij niet per se minder eenzaam. Wel werden positieve veranderingen in stemming en gedragsproblemen van bewoners gerapporteerd door familieleden en medewerkers. Ook kwaliteit van leven van bewoners werd beter gewaardeerd dan tijdens het bezoekverbod, maar was nog niet op het niveau als vóór het bezoekverbod. De positieve impact van de versoepeling van het bezoekverbod op bewoners, was al na een relatief korte periode zichtbaar. De resultaten ondersteunen de beslissing geen landelijk bezoekverbod meer in te stellen.

This working paper explores the extent to which different vulnerable groups in European labour markets are measured across 24 (27) data sets covering the European area. It studies the measurement of nine actor characteristics that have been associated with employment vulnerability: age, gender, sexual orientation, single parenthood, disability, religion, ethnicity, nationality and migration status. The inventory identified a number of measures that are relatively straightforward in regard to harmonisation. These include age groups and gender (binary), as well as migration status and nationality on higher levels of aggregation. A second set of vulnerable groups is identified indirectly, through questions on household composition and household grids. These are sexual orientation and single parenthood. Disability status has proven hard to harmonise, because the selected surveys operationalised the concept in different ways. There is relatively little data on respondents’ ethnicity, nationality, migration status and religion. These variables are often excluded from studies, or included only at very high levels of aggregation. Finally, the inventory revealed three data gaps. There are no surveys in the European data infrastructure that measure levels of citizenship rights or non-binary gender identity and the identification of sexual minorities respondents beyond cohabiting same-sex couples is impossible in most surveys.

This study aimed to establish the sowing periods with lower climatic risk for irrigated rice cultivation in the State of Rio Grande do Sul, Brazil, using the grain yield simulated by the SimulArroz which is an eco-physiological model based in processes that also simulates the development and the growth of the crop. The simulated grain yields were normalized for each of the four groups of cultivars, referenced as Relative Yield (YRel), considering the values of Reference Yield (YRef). The YRef considered was equal to the 80 percentile for the cultivars of groups 1 and 2 (Very short and Short cycle, respectively), and to the 90 percentile, for the cultivars of groups 3 and 4 (Medium and Long cycle, respectively). A successful year was when the YRel value was equal to or greater than 60% of YRef. These years were used to classify the climatic risk levels of 20% (80% success), 30% (70% success) and 40% (60% success). The preferential sowing periods for the four cultivar groups, at three levels of climatic risk, were established for all counties of the State of Rio Grande do Sul. The results indicated that the beginning of sowing occurs, depending on the group of cultivars, on September 1st or September 11th. On the other hand, the final sowing date varies with the group of cultivars and the level of risk involved, being December 20th the last sowing date for group 1 (Very short cycle). It is concluded that the SimulArroz model is appropriate to define the sowing periods of irrigated rice in Rio Grande do Sul considering grain yield, cycle of the cultivars and level of climatic risk. Made available in DSpace on 2020-03-14T00:40:28Z (GMT). No. of bitstreams: 1 STEINMETZ2019264401271891PB.pdf: 2941466 bytes, checksum: 5fbfd1868cabc4d0545f21b75161d80b (MD5) Previous issue date: 2019

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This is the technical report accompanying the dataset of the Unions in Context (UNICON) study. The UNICON study is a web-based probability survey among same-sex and mixed-sex couples conducted in 20 Dutch municipalities in 2016. The main objective driving this project was the need for data on same-sex couples and their children which are not biased by convenience recruitment strategies. DESIGN The probability sample was drawn by means of a sampling frame based on population registers including also those couples who are cohabiting without being in an officially registered union (marriage or civil partnership). The sampling design also specifically aimed at capturing the complex realities regarding parenthood in same-sex couples by selecting same-sex headed families not on the basis of officially registered parental status but based on the presence of children in the household. The final dataset includes responses from 600 same-sex couple households (of which 140 with children) and about 320 mixed-sex couple households (of which 230 with children). CORE CHALLENGES IN THE FIELD The UNICON data address five core challenges faced when studying same-sex couples and families quantitatively. The study: (1) purposefully includes same-sex couples and families in the sampling frame (2) uses a random sample that allows for generalization (3) oversamples same-sex couples to achieve a large number of observations (4) includes a suitable comparison group of mixed-sex couples (5) covers a wide range of substantive topics both specific to same-sex couples and general topics

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Rice phenology and development are events controlled by environmental and genetic factors, and the yield potential of the crop is defined by their interaction. This study aimed at analyzing the performance of irrigated rice genotypes in contrasting ecosystems and their effects on morphophysiological characteristics. Two ecosystems (tropical and subtropical) were analyzed, as well as cultivars recommended for tropical (BRS Catiana and BRS Jaçanã) and subtropical (BRS Pampa, BRS 7 Taim and IRGA 424) regions. The experiments were arranged in a complete randomized block design, with four replicates, being the factors the genotypes, sowing times and sites. The phenological development, biomass dynamics, radiation use efficiency and grain yield were evaluated. The accumulated degree-days demand for flowering decreased faster in the tropical ecosystem than in the subtropical ecosystem for late sowing. The radiation use efficiency values were similar in the subtropical ecosystem and yield was high for all sowing dates. On the other hand, the tropical ecosystem showed a high variation for radiation use efficiency values and yield. The higher accumulation of degree-days and solar radiation during the reproductive and grain-filling phases contributed to increase yield in both ecosystems. Made available in DSpace on 2017-09-10T00:27:26Z (GMT). No. of bitstreams: 1 SilvioCNPAF2017patIncluido.pdf: 2936160 bytes, checksum: 474b9fdb47f2c81523ecedda78b9e1cd (MD5) Previous issue date: 2017-09-08

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A sample is a subset of a population and we survey the units from the sample with the aim to learn about the entire population. However, the sampling theory was basically developed for probability sampling, where all units in the population have known and positive probabilities of inclusion. This definition implicitly involves randomization, which is a process resembling lottery drawing, where the units are selected according to their inclusion probabilities. In probability sampling the randomized selection is used instead of arbitrary or purposive sample selection of the researcher, or, instead of various self-selection processes run by respondents. Within this context, the notion of non-probability sampling denotes the absence of probability sampling mechanism.

The chapter aims to explore and evaluate in more detail the efficiency of the propensity score adjustment (PSA) and the power of webographic (i.e. behavioral and attitudinal) variables in adjusting biases arising from non‐randomized sample selection. In this context, it is to be considered that evidence for the applicability of PSA in the field of surveys in the scientific community is very limited. The empirical application is based on the Dutch sample of the WageIndicator Survey for 2009 ‐ a multi‐country, continuous volunteer web survey devoted to the collection of labor‐related variables. In the analysis, the target variable is the monthly gross wage. The sample is compared with a probability‐based web sample from the LISS panel (Longitudinal Internet Studies for the Social Sciences) which is also used as a reference survey in the PSA application. The findings indicate that with the availability of an accurate probability‐based reference survey the application of PSA can help reducing biases in volunteer samples. With respect to the inclusion of webographic variables, at least for the target variable wages, the computed propensity weights did not lead to the expected improvements. This was also due to the fact that those propensity weights which effectively reduced the bias between the samples showed a much higher variability impacting on the validity of estimates. Nevertheless, and considering the advantages of volunteer web surveys (like reduced costs, flexibility, worldwide coverage, etc.) and their more and more extensive use, it is important to be aware of how far can weights improve the representativeness of nonprobability panels. The presented adjustment approaches seem to offer improvements with respect to bias correction which also allow for better generalizations of estimates from volunteer samples.

This chapter discusses the potentials and constraints of using a volunteer Web survey as a worldwide data collection tool for wages. It provides a detailed description of the bias related to individual-level wages and core socio-demographic and employment-related variables across selected developed and developing countries and evaluates the efficiency of post-stratification weights in adjusting these biases. The results confirm that Web samples are particularly attractive to younger persons, part-timers, and persons working in non-manual occupations. This can be observed across countries, although the strength of the bias differs between them. With respect to the efficiency of post-stratification weights, the results are inconclusive. Whereas it is advisable to implement weights for descriptive purposes of socio-demographic variables, the contrary holds in case of wages. Additionally, weights can have the opposite effect by (moderately) increasing the difference in the estimated parameters between the reference and the Web sample.