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5,052 Data sources

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  • DEIMS-SDR (Dynamic Ecological Information Management System - Site and Dataset Registry) is an information management system for the discovery of long-term environmental research and monitoring facilities around the globe, along with the data gathered at those sites and the people and networks associated with them. DEIMS-SDR includes metadata such as site location, ecosystem, facilities, parameters measured and research themes.

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  • 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.

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  • Online storage, sharing and registration of research data, during the research period and after its completion. DataverseNL is a shared service provided by participating institutions and DANS.

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  • This site provides access to the research output of the institution. Many items are not available as full-text. The interface is in English. Users may set up RSS feeds to be alerted to new content. Full guidance and help materials are provided on the site. This includes ‘ARRO: A Comprehensive Guide’, which gives details of the policies and processes that apply to ARRO.

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  • The CATH database is a free, publicly available online resource that provides information on the evolutionary relationships of protein domains. It provides a hierarchical domain classification of protein structures in the Protein Data Bank. Protein structures are classified using a combination of automated and manual procedures. There are four major levels in this hierarchy; Class (secondary structure classification, e.g. mostly alpha), Architecture (classification based on overall shape), Topology (fold family) and Homologous superfamily (protein domains which are thought to share a common ancestor).

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5,052 Data sources
  • DEIMS-SDR (Dynamic Ecological Information Management System - Site and Dataset Registry) is an information management system for the discovery of long-term environmental research and monitoring facilities around the globe, along with the data gathered at those sites and the people and networks associated with them. DEIMS-SDR includes metadata such as site location, ecosystem, facilities, parameters measured and research themes.

    more_vert
  • 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.

    more_vert
  • Online storage, sharing and registration of research data, during the research period and after its completion. DataverseNL is a shared service provided by participating institutions and DANS.

    more_vert
  • more_vert
  • more_vert
  • This site provides access to the research output of the institution. Many items are not available as full-text. The interface is in English. Users may set up RSS feeds to be alerted to new content. Full guidance and help materials are provided on the site. This includes ‘ARRO: A Comprehensive Guide’, which gives details of the policies and processes that apply to ARRO.

    more_vert
  • more_vert
  • The CATH database is a free, publicly available online resource that provides information on the evolutionary relationships of protein domains. It provides a hierarchical domain classification of protein structures in the Protein Data Bank. Protein structures are classified using a combination of automated and manual procedures. There are four major levels in this hierarchy; Class (secondary structure classification, e.g. mostly alpha), Architecture (classification based on overall shape), Topology (fold family) and Homologous superfamily (protein domains which are thought to share a common ancestor).

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