scholarly journals Improving Research Impact

2020 ◽  
Author(s):  
Guus Van den Brekel ◽  
Erik Lieungh
Keyword(s):  
The Netherlands ◽  
Medical Information ◽  
Medical Center ◽  
Research Impact ◽  
The University

How can your research impact others outside academia and how do you measure it? In this episode, we discuss the topic of Research Impact – and how to improve it. Our Guest is Guus van den Brekel, medical Information specialist at the University Medical Center at the University of Groningen, in the Netherlands. The host of the podcast is Erik Lieungh. This episode was first published 25 February 2019.

scholarly journals Tricks of the Trade - Getting your article

2020 ◽  
Author(s):  
Guus Van den Brekel ◽  
Erik Lieungh
Keyword(s):  
The Netherlands ◽  
Medical Information ◽  
Medical Library ◽  
Wide Range ◽  
The University

In this episode, we discuss different ways to get a hold of articles in science. There is a wide range of possibilities, some of them are also illegal and should not be used. Today's guest is Guus van den Brekel, medical Information specialist at the Central Medical Library at the University of Groningen, in the Netherlands. The host of this episode is Erik Lieungh. Guus has also published his presentation. You can find it in the blog post How to get the pdf? : with ór without the help of your library. This episode was first published 23 October 2018.

scholarly journals A practical workflow for organizing clinical intraoperative and long-term iEEG data in BIDS

2020 ◽  
Author(s):  
Matteo Demuru ◽  
Dorien van Blooijs ◽  
Willemiek Zweiphenning ◽  
Dora Hermes ◽  
Frans Leijten ◽  
...  
Keyword(s):  
Data Structure ◽  
The Netherlands ◽  
Epilepsy Surgery ◽  
Medical Center ◽  
Imaging Data ◽  
Neuroimaging Data ◽  
Brain Imaging Data ◽  
The University ◽  
The Brain

AbstractThe neuroscience community increasingly uses the Brain Imaging Data Structure (BIDS) to organize data, extending from MRI to electrophysiology data. While automated tools and workflows are developed that help organize MRI data from the scanner to BIDS, these workflows are lacking for clinical intracranial EEG (iEEG data). We present a practical guideline on how to organize full clinical iEEG epilepsy data into BIDS. We present electrophysiological datasets recorded from twelve subjects who underwent intracranial monitoring followed by resective epilepsy surgery at the University Medical Center Utrecht, the Netherlands, and became seizure-free after surgery. These data include intraoperative electrocorticography recordings from six patients, long-term electrocorticography recordings from three patients and stereo-encephalography recordings from three patients. We describe the 6 steps in the pipeline that are essential to structure the data from these clinical iEEG recordings into BIDS and the challenges during this process. These guidelines enable centers performing clinical iEEG recordings to structure their data to improve accessibility, reusability and interoperability of clinical data.Background & SummaryToday’s era of big data and open science has highlighted the importance of organizing and storing data in keeping with the FAIR Data Principles of Findable, Accessible, Interoperable and Reusable Data to the neuroscientific community1,2. Over the past five years, a community-driven effort to develop a simple standardized method of organizing, annotating and describing neuroimaging data has resulted in the Brain Imaging Data Structure (BIDS). BIDS was originally developed for magnetic resonance imaging data (MRI3), but now also has extensions for magnetoencephalography (MEG4), electroencephalography (EEG5), and intracranial encephalography (iEEG6). BIDS prescribes rules about the organization of the data itself, with a formalized file/folder structure and naming conventions, and provides standardized templates to store associated metadata in human and machine readable, text-based, JSON and TSV file formats. Software packages analyzing neuroimaging data increasingly support data organized using the BIDS format (https://bids-apps.neuroimaging.io/apps/). However, a major challenge in the use of BIDS is to curate the data from their source format into a BIDS validated set. Several tools exist to convert MRI source data into BIDS datasets7–11, but to our knowledge, there is currently no tool or protocol for iEEG.The University Medical Center in Utrecht, the Netherlands, is a tertiary referral center performing around 150 epilepsy surgeries per year. The success of surgery for treating focal epilepsy depends on accurate prediction of brain tissue that needs to be removed or disconnected to yield full seizure control. People referred for epilepsy surgery undergo an extensive presurgical work-up, starting with MRI and video-EEG and, if needed, PET or ictal SPECT. This noninvasive phase is followed directly by a resection, possibly guided by intraoperative ECoG, or by long-term electrocorticography (ECoG) or stereo-encephalography (SEEG) with electrodes placed on or implanted in the brain12. From January 2008 until December 2019, 560 of the epilepsy surgeries in our center were guided by intraoperative ECoG; 163 surgeries followed after long-term ECoG or SEEG investigation. These iEEG data offer a unique combination of high spatial and temporal resolution measurements of the living human brain and it is important to curate these data in a way such that they can be used by many people in the future to study epilepsy and typical brain dynamics.As part of RESPect (Registry for Epilepsy Surgery Patients, ethical committee approval (18-109)), we started to retrospectively convert raw, unprocessed, clinical iEEG data of patients that underwent epilepsy surgery from January 2008 onwards, to the iEEG-BIDS format and identified 6 critical steps in this process. With this paper, we give a practical workflow of how we collected iEEG data in the UMC Utrecht and converted these data to BIDS. We share our entire pipeline and provide practical examples of six patients with intraoperative ECoG, three patients with long-term ECoG and three patients with SEEG data, demonstrating how BIDS can be used for intraoperative as well as long-term recordings.

Photographs of Study Casts: An Alternative Medium for Rating Dental Arch Relationships in Unilateral Cleft Lip and Palate

2004 ◽  
Vol 41 (6) ◽  
pp. 646-650 ◽  
Author(s):  
Pieter J. P. M. Nollet ◽  
Christos Katsaros ◽  
Martin A. van 't Hof ◽  
Catharina A. M. Bongaarts ◽  
Gunvor Semb ◽  
...  
Keyword(s):  
The Netherlands ◽  
Repeated Measures ◽  
Cleft Lip ◽  
Outcome Measure ◽  
Cleft Lip And Palate ◽  
Medical Center ◽  
Dental Arch ◽  
Reproducible Method ◽  
The University ◽  
Dental Casts

Objective To investigate the reliability of using photographs of study casts as an alternative to casts for rating dental arch relationships. Design Repeated-measures study. Setting Cleft Palate Center of the University Medical Center Nijmegen, Nijmegen, The Netherlands. Patients Records of children with complete unilateral cleft lip and palate (UCLP) (n = 49) at the age of 9 years were included. Mean Outcome Measure(s) Statistics of intra- and interexaminer agreement. Results No significant differences were found between the rating of dental casts and photographs of dental casts, using the Goslon Yardstick. Conclusions Photographs of dental casts provide a consistent, reproducible method for rating dental arch relationships in patients with UCLP at the age of 9 years and provide a reliable alternative to the application of the Goslon Yardstick on dental casts.

scholarly journals Project MICAS—Medical information, communication and archive system: PACS implementation at the university of rochester medical center

1997 ◽  
Vol 10 (S1) ◽  
pp. 228-228 ◽  
Author(s):  
Edward M. Smith ◽  
Arvin Robinson ◽  
Marc T. Fontaine ◽  
Jeffrey Wright ◽  
John F. Brenner ◽  
...  
Keyword(s):  
Medical Information ◽  
Medical Center ◽  
Information Communication ◽  
Pacs Implementation ◽  
Archive System ◽  
Rochester Medical ◽  
The University

scholarly journals Fatal case of human rabies (Duvenhage virus) from a bat in Kenya: the Netherlands, December 2007

2008 ◽  
Vol 13 (2) ◽  
pp. 1-2
Author(s):  
P PAM van Thiel ◽  
J AR van den Hoek ◽  
F Eftimov ◽  
R Tepaske ◽  
H J Zaaijer ◽  
...  
Keyword(s):  
The Netherlands ◽  
Medical Center ◽  
Academic Medical Center ◽  
Fatal Case ◽  
Human Rabies ◽  
General Malaise ◽  
Academic Medical ◽  
Unsteady Gait ◽  
The University

On 19 November 2007, a 34-year-old woman was admitted to the Academic Medical Center of the University of Amsterdam in the Netherlands with dysarthria, hypesthesia of both cheeks and unsteady gait, all of which started the day before. She had also experienced dizziness, nausea and general malaise since 16 November.

The Center for International Biomedical Communications Research

1966 ◽  
Vol 05 (03) ◽  
pp. 142-146
Author(s):  
A. Kent ◽  
P. J. Vinken
Keyword(s):  
Information Needs ◽  
English Language ◽  
Medical Information ◽  
Biomedical Literature ◽  
Information Storage ◽  
Control Mechanisms ◽  
University Of Pittsburgh ◽  
The World ◽  
The University ◽  
Excerpta Medica Foundation

A joint center has been established by the University of Pittsburgh and the Excerpta Medica Foundation. The basic objective of the Center is to seek ways in which the health sciences community may achieve increasingly convenient and economical access to scientific findings. The research center will make use of facilities and resources of both participating institutions. Cooperating from the University of Pittsburgh will be the School of Medicine, the Computation and Data Processing Center, and the Knowledge Availability Systems (KAS) Center. The KAS Center is an interdisciplinary organization engaging in research, operations, and teaching in the information sciences.Excerpta Medica Foundation, which is the largest international medical abstracting service in the world, with offices in Amsterdam, New York, London, Milan, Tokyo and Buenos Aires, will draw on its permanent medical staff of 54 specialists in charge of the 35 abstracting journals and other reference works prepared and published by the Foundation, the 700 eminent clinicians and researchers represented on its International Editorial Boards, and the 6,000 physicians who participate in its abstracting programs throughout the world. Excerpta Medica will also make available to the Center its long experience in the field, as well as its extensive resources of medical information accumulated during the Foundation’s twenty years of existence. These consist of over 1,300,000 English-language _abstract of the world’s biomedical literature, indexes to its abstracting journals, and the microfilm library in which complete original texts of all the 3,000 primary biomedical journals, monitored by Excerpta Medica in Amsterdam are stored since 1960.The objectives of the program of the combined Center include: (1) establishing a firm base of user relevance data; (2) developing improved vocabulary control mechanisms; (3) developing means of determining confidence limits of vocabulary control mechanisms in terms of user relevance data; 4. developing and field testing of new or improved media for providing medical literature to users; 5. developing methods for determining the relationship between learning and relevance in medical information storage and retrieval systems’; and (6) exploring automatic methods for retrospective searching of the specialized indexes of Excerpta Medica.The priority projects to be undertaken by the Center are (1) the investigation of the information needs of medical scientists, and (2) the development of a highly detailed Master List of Biomedical Indexing Terms. Excerpta Medica has already been at work on the latter project for several years.

scholarly journals Liquid materials for biomedical research: a highly IT-integrated and automated biobanking solution

2019 ◽  
Vol 43 (6) ◽  
pp. 347-354 ◽  
Author(s):  
Daniela Popp ◽  
Romanus Diekmann ◽  
Lutz Binder ◽  
Abdul R. Asif ◽  
Sara Y. Nussbeck
Keyword(s):  
Life Cycle ◽  
Medical Center ◽  
Research Results ◽  
Long Term Storage ◽  
Medical Centers ◽  
It Systems ◽  
Complete Life Cycle ◽  
The University ◽  
Term Storage

Abstract Various information technology (IT) infrastructures for biobanking, networks of biobanks and biomaterial management are described in the literature. As pre-analytical variables play a major role in the downstream interpretation of clinical as well as research results, their documentation is essential. A description for mainly automated documentation of the complete life-cycle of each biospecimen is lacking so far. Here, the example taken is from the University Medical Center Göttingen (UMG), where the workflow of liquid biomaterials is standardized between the central laboratory and the central biobank. The workflow of liquid biomaterials from sample withdrawal to long-term storage in a biobank was analyzed. Essential data such as time and temperature for processing and freezing can be automatically collected. The proposed solution involves only one major interface between the main IT systems of the laboratory and the biobank. It is key to talk to all the involved stakeholders to ensure a functional and accepted solution. Although IT components differ widely between clinics, the proposed way of documenting the complete life-cycle of each biospecimen can be transferred to other university medical centers. The complete documentation of the life-cycle of each biospecimen ensures a good interpretability of downstream routine as well as research results.

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