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Verbindend werken in de hulpverlening: bouwsteen voor een veerkrachtige samenleving
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Is the FABS view MRI more accurate than standard MRI in detecting distal biceps pathology?
No full textBackground: Partial biceps tendon pathology is difficult to diagnose. The Flexion Abduction Supination (FABS) view MRI has been advocated to improve the accuracy of MRI investigation. Hypothesis: The purpose of the present study is to evaluate the accuracy of the FABS view MRI in the diagnosis of distal biceps tendon pathology.
Methods: 50 patients with surgically confirmed distal biceps tendon pathology and 50 patients with other elbow disorders were included. From both groups, half had standard elbow MRI (retrospective review of previously obtained MRI data) and the other half FABS view MRI. These were evaluated by two independent musculoskeletal radiologists. Sensitivity and specificity of the both MRI views were determined. Tendinosis or grade of rupture were reported from MRI and then compared to surgical findings.
Results: There was no significant difference in sensitivity and specificity in detecting partial distal biceps injuries when comparing the FABS view MRI (sensitivity 84% and specificity 86%) and standard MRI (sensitivity 76% and specificity 98%). The inter-observer reliability (IRR) was 92% for the FABS view MRI with biceps pathology and 68% for standard MRI. In the control group the IRR was 88% for the FABS view MRI and 96% for standard MRI. FABS MRI was significantly better with regards to grade of injury.
Conclusions: No significant differences in sensitivity and specificity were found between the FABS view and standard elbow MRI in the diagnosis of partial distal biceps tendon injuries with high sensitivity and specificity for both views. Interrater reliability was better for FABS views and FABS views were significantly more accurate in grading the extend of the pathology when compared to surgical findings
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
FAIRVault, an interuniversity project on creating a restricted access data archive
No full textThe FAIRVault project is an interuniversity collaboration between four Flemish universities (Ghent University, Hassel University, University of Antwerp and Vrije Universiteit Brussel) to develop a generic solution for archiving, in a FAIR-aligned way, research data for which no suitable repository exists, in particular sensitive data.
The objective of the FAIRVault is to provide a secure and reliable platform for researchers from the participating institutions for archiving and making available even sensitive and confidential research data in accordance with the FAIR principles: (Findable, Accessible, Interoperable and Reusable). Based on the sensitivity of the data, (that may depend on privacy considerations, legal obligations etc.), suitable measures are taken to ensure information security. The goal is to implement a trustworthy and FAIR-enabling long-term preservation solution endorsed by research communities at partner institutions, implementing best practices certified by the CoreTrustSeal. By doing so, valuable research data will not only be properly archived, but it also unlocks the potential for data sharing and effectively leading to a more efficient use of resources. It aims to fill the void for domains where no existing solution satisfies all the necessities in terms of e.g. security and the FAIR principles.
The end product of this project, i.e. the actual FAIRVault, will be a platform on which a researcher can upload the research data alongside the appropriate metadata. It can be seen as (1) a packaging machine, where the archives itself are saved on local storages per university, and (2) a portal to the (meta)data, where other researchers can search datasets and download or request access – depending on the access conditions set by the creator. The metadata of a dataset is always visible to the public and remains available, even after the disposal of the dataset.
The platform aims to be an addition to the existing landscape of local storage systems and metadata conventions (e.g DataCite and FRIS). Therefore, the interoperability of this system and the integration with other systems is very important. The goal of the project is to end with an operational service that can possibly be used by institutions outside the starting consortium.
Throughout the development of the FAIRVault we want to keep the expectations of divers stakeholders and entities in mind: (1) researchers, who bear the responsibility of ensuring the findability and accessibility of data over the medium to long term, even beyond the project funding periods, (2) institutions, both research and government, that aim to manage data assets in compliance with regulations, policies and contractual obligation, fostering openness and minimizing costs, (3) data re-users, who seek transparent access processes, (4) the Flemish Government, that envisions stronger connections to the European Open Science Cloud, (5) FOSB/FRDN members, who seek cost effective solutions for Open Science KPI targets, (6) research funders, who prioritize ethical and legal data management aligned with the FAIR principles, (7) the European Open Science Cloud, that aims to streamline research data infrastructure through interoperability principles and standards, and (8) other research institutions, that wish to join the initiative in the future.
To streamline this project, a core team was set up with representatives of each university and additional support of consultancy companies (Möbius and EY). Within this core team, we ensured the presence of different expertises, such as archiving, ICT, data stewardship, etc. to move the project in the correct direction with the proper knowledge. Additionally, a steering committee was created in which decisions are taken and/or confirmed and which also consists of representatives of each university involved. This committee bridges the gap between the day-to-day operations and the stakeholders’ interests
FAIRVault, an interuniversity project on creating a restricted access data archive
No full textThe FAIRVault project is an interuniversity collaboration between four Flemish universities (Ghent University, Hassel University, University of Antwerp and Vrije Universiteit Brussel) to develop a generic solution for archiving, in a FAIR-aligned way, research data for which no suitable repository exists, in particular sensitive data.
The objective of the FAIRVault is to provide a secure and reliable platform for researchers from the participating institutions for archiving and making available even sensitive and confidential research data in accordance with the FAIR principles: (Findable, Accessible, Interoperable and Reusable). Based on the sensitivity of the data, (that may depend on privacy considerations, legal obligations etc.), suitable measures are taken to ensure information security. The goal is to implement a trustworthy and FAIR-enabling long-term preservation solution endorsed by research communities at partner institutions, implementing best practices certified by the CoreTrustSeal. By doing so, valuable research data will not only be properly archived, but it also unlocks the potential for data sharing and effectively leading to a more efficient use of resources. It aims to fill the void for domains where no existing solution satisfies all the necessities in terms of e.g. security and the FAIR principles.
The end product of this project, i.e. the actual FAIRVault, will be a platform on which a researcher can upload the research data alongside the appropriate metadata. It can be seen as (1) a packaging machine, where the archives itself are saved on local storages per university, and (2) a portal to the (meta)data, where other researchers can search datasets and download or request access – depending on the access conditions set by the creator. The metadata of a dataset is always visible to the public and remains available, even after the disposal of the dataset.
The platform aims to be an addition to the existing landscape of local storage systems and metadata conventions (e.g DataCite and FRIS). Therefore, the interoperability of this system and the integration with other systems is very important. The goal of the project is to end with an operational service that can possibly be used by institutions outside the starting consortium.
Throughout the development of the FAIRVault we want to keep the expectations of divers stakeholders and entities in mind: (1) researchers, who bear the responsibility of ensuring the findability and accessibility of data over the medium to long term, even beyond the project funding periods, (2) institutions, both research and government, that aim to manage data assets in compliance with regulations, policies and contractual obligation, fostering openness and minimizing costs, (3) data re-users, who seek transparent access processes, (4) the Flemish Government, that envisions stronger connections to the European Open Science Cloud, (5) FOSB/FRDN members, who seek cost effective solutions for Open Science KPI targets, (6) research funders, who prioritize ethical and legal data management aligned with the FAIR principles, (7) the European Open Science Cloud, that aims to streamline research data infrastructure through interoperability principles and standards, and (8) other research institutions, that wish to join the initiative in the future.
To streamline this project, a core team was set up with representatives of each university and additional support of consultancy companies (Möbius and EY). Within this core team, we ensured the presence of different expertises, such as archiving, ICT, data stewardship, etc. to move the project in the correct direction with the proper knowledge. Additionally, a steering committee was created in which decisions are taken and/or confirmed and which also consists of representatives of each university involved. This committee bridges the gap between the day-to-day operations and the stakeholders’ interests
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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