Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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693.932 PEOPLE
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2014DAS: A Data Management System for Instrument Tests and Operationscitations
  • 2014CIWS-FW: A Customizable Instrument Workstation Software Framework for Instrument-independent Data Handlingcitations

Places of action

Chart of shared publication
Dadina, Mauro
2 / 3 shared
Trifoglio, M.
2 / 6 shared
Gianotti, Fulvio
2 / 4 shared
Nicastro, Luciano
2 / 2 shared
Sartor, S.
2 / 2 shared
Franceschi, Enrico
2 / 5 shared
Bulgarelli, Andrea
2 / 10 shared
Conforti, Vito
2 / 2 shared
Frailis, M.
2 / 5 shared
Lodi, M.
2 / 3 shared
Smart, R.
2 / 2 shared
Zoli, A.
2 / 2 shared
Morbidelli, Roberto
2 / 2 shared
Zacchei, Andrea
1 / 5 shared
Pasian, F.
2 / 4 shared
Zacchei, A.
1 / 1 shared
Chart of publication period
2014

Co-Authors (by relevance)

  • Dadina, Mauro
  • Trifoglio, M.
  • Gianotti, Fulvio
  • Nicastro, Luciano
  • Sartor, S.
  • Franceschi, Enrico
  • Bulgarelli, Andrea
  • Conforti, Vito
  • Frailis, M.
  • Lodi, M.
  • Smart, R.
  • Zoli, A.
  • Morbidelli, Roberto
  • Zacchei, Andrea
  • Pasian, F.
  • Zacchei, A.
OrganizationsLocationPeople

article

DAS: A Data Management System for Instrument Tests and Operations

  • Dadina, Mauro
  • Trifoglio, M.
  • Gianotti, Fulvio
  • Nicastro, Luciano
  • Sartor, S.
  • Franceschi, Enrico
  • Bulgarelli, Andrea
  • Conforti, Vito
  • Frailis, M.
  • Cirami, R.
  • Lodi, M.
  • Smart, R.
  • Zoli, A.
  • Morbidelli, Roberto
  • Zacchei, Andrea
  • Pasian, F.
Abstract

The Data Access System (DAS) is aand data management software system, providing a reusable solution for the storage of data acquired both from telescopes and auxiliary data sources during the instrument development phases and operations. It is part of the Customizable Instrument WorkStation system (CIWS-FW), a framework for the storage, processing and quick-look at the data acquired from scientific instruments. The DAS provides a data access layer mainly targeted to software applications: quick-look displays, pre-processing pipelines and scientific workflows. It is logically organized in three main components: an intuitive and compact Data Definition Language (DAS DDL) in XML format, aimed for user-defined data types; an Application Programming Interface (DAS API), automatically adding classes and methods supporting the DDL data types, and providing an object-oriented query language; a data management component, which maps the metadata of the DDL data types in a relational Data Base Management System (DBMS), and stores the data in a shared (network) file system. With the DAS DDL, developers define the data model for a particular project, specifying for each data type the metadata attributes, the data format and layout (if applicable), and named references to related or aggregated data types. Together with the DDL user-defined data types, the DAS API acts as the only interface to store, query and retrieve the metadata and data in the DAS system, providing both an abstract interface and a data model specific one in C, C++ andPython. The mapping of metadata in the back-end database is automatic and supports several relational DBMSs, including MySQL, Oracle and PostgreSQL.

Topics
  • impedance spectroscopy
  • phase