EOSC Synergy WP6: Initial review of systems, initiatives and development of selection criteria of the online learning/training platforms and initiatives

This report describes a review of possible learning platforms and tools, and relevant previous and current projects and initiatives in the area of Open Science and EOSC training and education. It also includes reflections on the criteria we will use to select the platform and tools for the EOSC-Synergy project.European Commission. The report is a deliverable of EOSC-synergy project (INFRAEOSC-05(b)), Grant agreement ID: 857647.Peer reviewe

Report on the Workshop on Sustainable Software Sustainability 2019 (WOSSS19)

This report is based on the discussions and presentations that took place at the Workshop on Sustainable Software Sustainability (www.software.ac.uk/wosss19) in April 2019 (WOSSS19). It captures the state of the art for a range of Software Sustainability themes that were brought up by the organisers and attendees of the workshop

"Domain Data Protocols" a key to your FAIR data

Research data management (RDM) has become a vital element to advance open science via data sharing and reuse. To improve RDM, research organisations (research funders, councils, universities, academies, institutes, etc.) increasingly require researchers to develop a Data Management Plan (DMP) for their project proposals or for research evaluations. While researchers and research projects usually recognise the benefits of better RDM, describing your standards, repositories, and data-policies in a DMP, most of the times in a non-committal way, is often considered a burden. Domain Data Protocols (DDP) are intended to make life easier for researchers as well as for research organisations demanding DMPs. They essentially give guidelines or directives for data management for a particular domain, agreed upon by a research community and/or the organisations demanding a DMP. The fact that communities collectively set the standards and guidelines for DMPs also means that there are great opportunities to increase the FAIRness of research data in these respective communities. Within EOSC-hub and the EOSC community at large, the use of Domain Data Protocols in Data Management Plans will boost the developments around FAIR data

The DANS services for sharing, cataloguing and archiving your health data

DANS (Data Archiving and Networked Services) is the Netherlands institute for permanent access to digital research resources. DANS encourages researchers to make their research data and related digital outputs Findable, Accessible, Interoperable and Reusable (FAIR). To realise our mission, DANS provides expert advice and certified services. DataverseNL is the DANS service for short‐term data management, EASY our long‐term data archive, and NARCIS the national catalogue service for scholarly information. Training and consultancy services are provided for generic Research Data Management and Data Management Planning. More specific training sessions focus on repository certification, metadata standards, software sustainability and knowledge organisation systems. The (coordinating) activities of DANS in (inter)national projects and networks, ensure constant innovation and a state‐of‐the‐art knowledge on infrastructural data developments. Although the roots of DANS are within the humanities and social sciences, most DANS services are generic services relevant for nearly all scientific disciplines, including the life and health sciences. As part of the Dutch national e‐infrastructure for research data, DANS is involved in several projects and initiatives around health data, often acting at the cross roads between the life and social sciences. Also, the DANS training activities touch upon the developments around health data. Cataloguing the Dutch “zorggegevens” in NARCIS, or the DANS training modules in the Helis Academy FAIR data stewardship course, are examples of specific DANS contributions to the life and health sciences. The DANS poster presentation provides an overview of the DANS services of interest to the owners and custodians of health data, including examples of relevant recent projects. DANS invites participants of the Health‐RI 2020 conference to probe how DANS could support the sharing, cataloguing and archiving of their health data

Development and Validation of a Dynamically Updated Prediction Model for Attrition from Marine Recruit Training

Dijksma, I, Hof, MHP, Lucas, C, and Stuiver, MM. Development and validation of a dynamically updated prediction model for attrition from Marine recruit training. J Strength Cond Res 36(9): 2523-2529, 2022-Whether fresh Marine recruits thrive and complete military training programs, or fail to complete, is dependent on numerous interwoven variables. This study aimed to derive a prediction model for dynamically updated estimation of conditional dropout probabilities for Marine recruit training. We undertook a landmarking analysis in a Cox proportional hazard model using longitudinal data from 744 recruits from existing databases of the Marine Training Center in the Netherlands. The model provides personalized estimates of dropout from Marine recruit training given a recruit's baseline characteristics and time-varying mental and physical health status, using 21 predictors. We defined nonoverlapping landmarks at each week and developed a supermodel by stacking the landmark data sets. The final supermodel contained all but one a priori selected baseline variables and time-varying health status to predict the hazard of attrition from Marine recruit training for each landmark as comprehensive as possible. The discriminative ability (c-index) of the prediction model was 0.78, 0.75, and 0.73 in week one, week 4 and week 12, respectively. We used 10-fold cross-validation to train and evaluate the model. We conclude that this prediction model may help to identify recruits at an increased risk of attrition from training throughout the Marine recruit training and warrants further validation and updates for other military settings

“Stap voor stap richting een nationale data-infrastructuur”: DANS lanceert domeingerichte Data Stations

Op verzoek van onderzoekers en dataprofessionals bewaart DANS bijna 200.000 datasets gegarandeerd duurzaam. Het KNAW/NWO-instituut is sinds 2006 een belangrijke speler binnen de Nederlandse en wereldwijde onderzoeksgemeenschap. De komende periode gaat DANS domeingerichte Data Stations aanbieden, diensten die zijn toegesneden op de behoeften binnen wetenschappelijke disciplines. Daarmee wordt DANS naast een archief voor datasets uit voltooide onderzoeksprojecten, ook een omgeving waarin onderzoekers datasets kunnen vormen, bewerken, analyseren en delen

DANS Data Game: Digital or Visual

DANS has developed a game especially for researchers: the DANS Data Game. The game gives an impression of the research data landscape and was specially produced for the 15th anniversary of DANS in 2020. The game is available in .pdf, DANS can send the game via postorder and the game can be played online. Visit dans.knaw.nl for more information

An international multicenter study on the effectiveness of a denture adhesive in maxillary dentures using disposable gnathometers

Contains fulltext : 53161.pdf (publisher's version ) (Closed access)No consensus has been achieved on whether denture adhesives are beneficial adjuncts in denture-wearers management. The purpose of this international multicenter study was to determine objectively the effect of a denture adhesive (Kukident) on the retention of complete maxillary dentures using disposable gnathometers. The disposable gnathometers have a decimal scale for measuring the incisal force before dislodgement (= maximum incisal force) of maxillary dentures. The intra-observer reliability, the inter-observer reliability, and the linearity of the gnathometer units of the disposable gnathometers were examined in three pilot studies. Participants of the international multicentre main study were 88 patients who had been selected for complete maxillary denture treatment. The maximum incisal force of their previous and new denture without and with adhesive was measured using disposable gnathometers. The intra- and inter-observer reliability of the disposable gnathometers was very good, and there was a linear relation between the gnathometer units. The effect of the denture adhesive on the maximum incisal force of complete maxillary dentures was statistically significant in previous as well as new dentures, being more pronounced in previous than in new dentures