Dataset Information

StudyPortal - Geovisualization of Study Research Networks.

ABSTRACT: StudyPortal was implemented as the first multilingual search platform for geographic visualization of clinical trials and scientific articles. The platform queries information from ClinicalTrials.gov, PubMed, a geodatabase and geographic maps to enable geospatial study search and real-time rendering of study locations or research networks on a map. Thus, disease-specific clinical studies or whole research networks can be shown in a geographic proximity. Moreover, a semantic layer enables multilingual disease input and autosuggestion of medical terms based on the Unified Medical Language System. The portal is accessible on https://studyportal.uni-muenster.de. This paper presents details on implementation of the novel search platform, its search evaluation and future work.

SUBMITTER: Varghese J

PROVIDER: S-EPMC6904404 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

StudyPortal - Geovisualization of Study Research Networks.

Varghese Julian J Fujarski Michael M Dugas Martin M

Journal of medical systems 20191210 1

StudyPortal was implemented as the first multilingual search platform for geographic visualization of clinical trials and scientific articles. The platform queries information from ClinicalTrials.gov, PubMed, a geodatabase and geographic maps to enable geospatial study search and real-time rendering of study locations or research networks on a map. Thus, disease-specific clinical studies or whole research networks can be shown in a geographic proximity. Moreover, a semantic layer enables multili ...[more]

PMID: 31823031

Similar Datasets

Project description:Clinical Research Networks (CRNs) are means to improve healthcare delivery, quality of care and patient outcomes. The Oswaldo Cruz Foundation (Fiocruz), Latin America's leading health research organization, has established a CRN to promote interaction and collaboration among its clinical research experts. After a decade of operation, a revitalization process was undertaken out of the need to improve its functionality. This study aimed to describe the evaluation process of the Fiocruz Clinical Research Network (RFPC) by gathering the opinions and perspectives of its members and identifying the network structure. The goal was to improve scientific collaboration and member engagement, thereby increasing the integration, effectiveness, and impact of clinical research conducted at the institution. Clinical research professionals at Fiocruz were invited to participate in an online questionnaire to collect information about their professional experience, the benefits and constraints of participating in research networks, relevant discussion topics, and the challenges of complying with Good Clinical Practices (GCP). With the help of social network analysis, a deeper understanding of the dynamics and structure of professional communication networks was obtained. The questionnaire was completed by 122 professionals (response rate 50.4%), with most respondents being principal investigators (PIs) with more than 10 years of professional experience (24.6%). Participation in research networks was considered beneficial, particularly in working groups (48.4%), and as an opportunity to exchange experiences with other professionals (44.3%). Almost half of the participants (48.4%) did not identify any barriers to participating in a network. Topics that required further discussion included data management, biorepositories and biobanks, and ethical and regulatory issues. Challenges to conducting clinical research with GCP standards included strategic support and funding, staffing and training, data management, infrastructure, quality management, and collaboration. Communication within the research network was loosely structured, with the most experienced professionals holding central positions. This analysis provided valuable insights to support the management of the RFPC. It highlighted the internal community's interests and expectations, identified key areas for improvement in GCP implementation, and influential professionals who could improve information sharing and national integration. The findings have far-reaching implications that can be applied in different contexts. They contribute to the ongoing discussion on the establishment and management of research networks.

Project description:BackgroundThe evaluation of translational health research is important for various reasons such as the research impact assessment, research funding allocation, accountability, and strategic research policy formulation. The purpose of this study was to evaluate the research productivity, strength and diversity of research collaboration networks and impact of research supported by a large biomedical research centre in the United Kingdom (UK).MethodsBibliometric analysis of research publications by translational researchers affiliated with the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC) from April 2012 to March 2017.ResultsAnalysis included 2377 translational research publications that were published during the second 5-year funding period of the NIHR Oxford BRC. Author details were available for 99.75% of the publications with DOIs (2359 of 2365 with DOIs), and the number of authors per publication was median 9 (mean = 18.03, SD = 3.63, maximum = 2467 authors). Author lists also contained many consortia, groups, committees, and teams (n = 165 in total), with 1238 additional contributors, where membership was reported. The BRC co-authorship i.e., research collaboration network for these publications involved 20,229 nodes (authors, of which 1606 nodes had Oxford affiliations), and approximately 4.3 million edges (authorship linkages). Articles with a valid DOIs (2365 of 2377, 99.5%) were collectively cited more than 155,000 times and the average Field Citation Ratio was median 6.75 (geometric mean = 7.12) while the average Relative Citation Ratio was median 1.50 (geometric mean = 1.83) for the analysed publications.ConclusionsThe NIHR Oxford BRC generated substantial translational research publications and facilitated a huge collaborative network of translational researchers working in complex structures and consortia, which shows success across the whole of this BRC funding period. Further research involving continued uptake of unique persistent identifiers and the tracking of other research outputs such as clinical innovations and patents would allow a more detailed understanding of large research enterprises such as NIHR BRCs in the UK.

Dataset Information

StudyPortal - Geovisualization of Study Research Networks.

Publications

StudyPortal - Geovisualization of Study Research Networks.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets