Abstract
This communication aims to present the main result of a research in the field of Information Management (IM), acknowledged as a cross-sectional and applied area in Information Science (IS). It is based on a diagnosis made at Portuguese Public Universities, complemented by a more detailed study performed at the University of Porto (U.Porto) involving traditional information services (Archives, Libraries, Documentation Centres and Museums), an area that, in the last few decades, has sustained epistemological and theoretical changes which have impacted on training and investigative models, functional contents and professional profiles, as well as emerging services such as Informatics and the role of IM, that tend to dominate IM in the digital environment. The info-communicational flow is considered in its several stages and contexts and managed under the concept of information (human and social phenomenon). IM is defined as the study, conception, implementation and development of processes and services related to the info-communicational flow, serving to build implementation models for maximum efficiency and profitability. The prospective vision is embodied in the proposal of an Active and Permanent Information System Management Model (MGSI-AP) for the university.

Abstract
Researchers are currently encouraged by their institutions and the funding agencies to deposit data resulting from projects. Activities related to research data management, namely organization, description, and deposit, are not obvious for researchers due to the lack of knowledge on metadata and the limited data publication experience. Institutions are looking for solutions to help researchers organize their data and make them ready for publication. We consider here the deposit process for a CKAN-powered data repository managed as part of the IT services of a large research institute. A simplified data deposit process is illustrated here by means of a set of examples where researchers describe their data and complete the publication in the repository. The process is organised around a Dublin Core-based dataset deposit form, filled by the researchers as preparation for data deposit. The contacts with researchers provided the opportunity to gather feedback about the Dublin Core metadata and the overall experience. Reflections on the ongoing process highlight a few difficulties in data description, but also show that researchers are motivated to get involved in data publication activities.

Abstract
Advances in genomics have driven to the recognition that tumours are populated by different minor subclones of malignant cells that control the way the tumour progresses. However, the spatial and temporal genomic heterogeneity of tumours has been a hurdle in clinical oncology. This is mainly because the standard methodology for genomic analysis is the biopsy, that besides being an invasive technique, it does not capture the entire tumour spatial state in a single exam. Radiographic medical imaging opens new opportunities for genomic analysis by providing full state visualisation of a tumour at a macroscopic level, in a non-invasive way. Having in mind that mutational testing of EGFR and KRAS is a routine in lung cancer treatment, it was studied whether clinical and imaging data are valuable for predicting EGFR and KRAS mutations in a cohort of NSCLC patients. A reliable predictive model was found for EGFR (AUC = 0.96) using both a Multi-layer Perceptron model and a Random Forest model but not for KRAS (AUC = 0.56). A feature importance analysis using Random Forest reported that the presence of emphysema and lung parenchymal features have the highest correlation with EGFR mutation status. This study opens new opportunities for radiogenomics on predicting molecular properties in a more readily available and non-invasive way.

Abstract
Some might argue that ever so nimble and responsive innovation paradigms can rarely be managed scientifically. We propose a more inclusive perspective. Science of managing for innovation has certain characteristics which we identify through the acronym “ROTRUS”- Real-world, Observable, Testable, Replicable, Uncertain and Social. Real-world refers to the notion that innovation happens in practical settings, be bound by resources and capabilities. This real-world is the context in which the observable events occur. To progress the understanding of formative predictors and their impact on innovation, the innovation events need to be observable. This may be challenging if we are to believe that much of the innovation is driven by heuristics (see e.g. Lopez-Vega, Tell and Vanhaverbeke, 2016; Nisch and Veer, 2018). Observable evidence in our perspective does not mean it needs to be capable of being observed but includes events or phenomenon that were observed. In this sense, managerial heuristics once actioned become observed evidence, such that observable evidence is any evidence that can be or has been experienced by one or many, regardless of whether this can be observed by a third party. (...)

Abstract

Abstract
In order to enhance the scientific exploitation of adaptive optics (AO)-assisted observations, we investigate a novel hybrid concept to improve the parametric estimation of point spread function (PSF) called PSF Reconstruction and Identification for Multiple-source characterization Enhancement (PRIME). PRIME uses both focal and pupil-plane measurements to estimate jointly the model parameters related to the atmosphere [Cn2(h), seeing] and the AO system (e.g. optical gains and residual low-order errors). Photometry and astrometry are provided as by-products. The parametric model in use is flexible enough to be scaled with field location and wavelength, making it a proper choice for optimized on-axis and off-axis data-reduction across the spectrum. Here, we present the methodology and validate PRIME on engineering and binary Keck II telescope NIRC2 images. We also present applications of PSF model parameters retrieval using PRIME: (i) calibrate the PSF model for observations void of stars on the acquired images, i.e. optimize the PSF reconstruction process, (ii) update the AO error breakdown mutually constrained by the telemetry and the images in order to speculate on the origin of the missing error terms and evaluate their magnitude, and (iii) measure photometry and astrometry with an application to the triple system Gl569 images.