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The mission of BioStudies is to provide access to all the data outputs of a life sciences study from a single place, by organising links to data in other databases at EMBL-EBI or elsewhere, as well as hosting data and metadata that do not fit anywhere else. The database accepts submissions via an online tool, or in a simple tab-delimited format. BioStudies provides rich mechanisms for defining and using metadata guidelines specific for a particular data source such as a project or a community, and organises datasets in collections.

The EPSA | ERNICA Registry is to improve the quality of patient care by enabling health care providers to get insight in their outcomes and using the cumulative data from the EPSA registry to conduct scientific research, for example to compare treatments or identify certain risk factors for complications. The EPSA (European Pediatric Surgical Audit) registry contains information on diseases seen in new-born children, like: Hirschsprung’s disease, Congenital Diaphragmatic Hernia, Oesophageal Atresia, Anorectal Malformation, Omphalocele and Gastroschisis. ERNICA is the European Reference Network for rare Inherited and Congenital (digestive and gastrointestinal) Anomalies European Reference Networks and aims to pool together disease-specific expertise, knowledge and resources from across Europe to achieve health goals that may otherwise be unachievable in a single country. ERNICA monitors and evaluates its activities in accordance with the ERN-wide monitoring framework of expert healthcare professionals from specialised healthcare providers across Europe. These networks seek to pool together the expertise available across Europe and concentrate knowledge and resources on rare and/or complex diseases. Each ERN focuses on a particular rare disease area with two diagnostic groups: Malformations of the digestive system (oesophageal diseases, intestinal diseases, intestinal failure and gastroenterological diseases) and Malformations of the diaphragm and abdominal wall (Malformations of the diaphragm and Abdominal wall defects) This standard defines the metadata required to insure availability, versioning and interoperability of the EPSA|ERNICA data.

Dilibri is the digitized collection of regional studies literature related to Rhineland-Palatinate and of imprints preserved at Rhineland-Palatine libraries. The interface is available in English, German or French with the manuscripts being a mixture of French and German.

A repository of image / SPM data to support users of the Centre for Cell Imaging, University of Liverpool.

MDM-Portal (Medical Data-Models) is a meta-data registry for creating, analysing, sharing and reusing medical forms, developed by the Institute of Medical Informatics, Heidelberg University Hospital in Germany. see also https://doi.org/10.1055/s-0044-1786839 Electronic forms for documentation of patient data are an integral part within the workflow of physicians. A huge amount of data is collected either through routine documentation forms (EHRs) for electronic health records or as case report forms (CRFs) for clinical trials. This raises major scientific challenges for health care, since different health information systems are not necessarily compatible with each other and thus information exchange of structured data is hampered. Software vendors provide a variety of individual documentation forms according to their standard contracts, which function as isolated applications. Furthermore, free availability of those forms is rarely the case. Currently less than 5 % of medical forms are freely accessible. Based on this lack of transparency harmonization of data models in health care is extremely cumbersome, thus work and know-how of completed clinical trials and routine documentation in hospitals are hard to be re-used. The MDM-Portal serves as an infrastructure for academic (non-commercial) medical research to contribute a solution to this problem. It already contains more than 25,000 system-independent forms (CDISC ODM Format, www.cdisc.org, Operational Data Model) with more than 600,000 data-elements. This enables researchers to view, discuss, download and export forms in most common technical formats such as PDF, CSV, Excel, SQL, SPSS, R, etc. A growing user community will lead to a growing database of medical forms. In this matter, we would like to encourage all medical researchers to register and add forms and discuss existing forms.