In this paper, we present a metadata mediation approach to intelligent integration of semantically heterogeneous geographical information (GI). Based on formalized metadata and expert system technology. the system can...In this paper, we present a metadata mediation approach to intelligent integration of semantically heterogeneous geographical information (GI). Based on formalized metadata and expert system technology. the system can understand metadata of GI, represent explicit metadata knowledge, and use metadata mediator to automatically detect Semantic conflicts and resolve them: Furthermore, the prototype of metadata mediator has been given in this paper.展开更多
Administrative metadata means the expansion of the metadata research to the administrative level of resource development. Based on the basic administrative sections in the information resource lifecycle(IRL), the fram...Administrative metadata means the expansion of the metadata research to the administrative level of resource development. Based on the basic administrative sections in the information resource lifecycle(IRL), the framework for basic administrative metadata(FBAM) is helpful in constructing open interoperable platforms for acquisition, processing and services of information resources in digital libraries. It facilitates the seamless communication, the cooperative construction and management, and the sharing of digital resources.The formulation of FBAM follows the principles of modularity and openness that promote interoperability in resource management. It also adopts the structured methodology of information system design, with which the FBAM data model is developed in conformity with <indecs> and PREMIS. The capabilities of FBAM are driven by a metadata repository with administrative information that is contained in FBAM records.展开更多
In the dynamic environment of hospitals, valuable real-world data often remain underutilised despite their potential to revolutionize cancer research and personalised medicine. This study explores the challenges and o...In the dynamic environment of hospitals, valuable real-world data often remain underutilised despite their potential to revolutionize cancer research and personalised medicine. This study explores the challenges and opportunities in managing hospital-generated data, particularly within the Masaryk Memorial Cancer Institute (MMCI) in Brno, Czech Republic. Utilizing Next-Generation Sequencing (NGS) technology, MMCI generates substantial volumes of genomic data. Due to inadequate curation, these data remain difficult to integrate with clinical records for secondary use (such as personalised treatment outcome prediction and patient stratification based on their genomic profiles). This paper proposes solutions based on the FAIR principles (Findability, Accessibility, Interoperability, and Reusability) to enhance data sharing and reuse. The primary output of our work is the development of an automated pipeline that continuously processes and integrates NGS data with clinical and biobank information upon their creation. It stores the data in a special secured repository for sensitive data in a structured form to ensure smooth retrieval.展开更多
Metadata,data about other digital objects,play an important role in FAIR with a direct relation to all FAIR principles.In this paper we present and discuss the FAIR Data Point(FDP),a software architecture aiming to de...Metadata,data about other digital objects,play an important role in FAIR with a direct relation to all FAIR principles.In this paper we present and discuss the FAIR Data Point(FDP),a software architecture aiming to define a common approach to publish semantically-rich and machine-actionable metadata according to the FAIR principles.We present the core components and features of the FDP,its approach to metadata provision,the criteria to evaluate whether an application adheres to the FDP specifications and the service to register,index and allow users to search for metadata content of available FDPs.展开更多
文摘In this paper, we present a metadata mediation approach to intelligent integration of semantically heterogeneous geographical information (GI). Based on formalized metadata and expert system technology. the system can understand metadata of GI, represent explicit metadata knowledge, and use metadata mediator to automatically detect Semantic conflicts and resolve them: Furthermore, the prototype of metadata mediator has been given in this paper.
文摘Administrative metadata means the expansion of the metadata research to the administrative level of resource development. Based on the basic administrative sections in the information resource lifecycle(IRL), the framework for basic administrative metadata(FBAM) is helpful in constructing open interoperable platforms for acquisition, processing and services of information resources in digital libraries. It facilitates the seamless communication, the cooperative construction and management, and the sharing of digital resources.The formulation of FBAM follows the principles of modularity and openness that promote interoperability in resource management. It also adopts the structured methodology of information system design, with which the FBAM data model is developed in conformity with <indecs> and PREMIS. The capabilities of FBAM are driven by a metadata repository with administrative information that is contained in FBAM records.
基金funding from the project SALVAGE(P JACreg.no.CZ.02.01.01/00/22_008/0004644)-funded by the European Union and by the State Budget of the Czech Republic,from MH CZ-DRO(MMCI,00209805)+1 种基金BBMRI.cz(no.LM2023033)Computational resources were provided by the e-INFRA CZ project(no.LM2023054).
文摘In the dynamic environment of hospitals, valuable real-world data often remain underutilised despite their potential to revolutionize cancer research and personalised medicine. This study explores the challenges and opportunities in managing hospital-generated data, particularly within the Masaryk Memorial Cancer Institute (MMCI) in Brno, Czech Republic. Utilizing Next-Generation Sequencing (NGS) technology, MMCI generates substantial volumes of genomic data. Due to inadequate curation, these data remain difficult to integrate with clinical records for secondary use (such as personalised treatment outcome prediction and patient stratification based on their genomic profiles). This paper proposes solutions based on the FAIR principles (Findability, Accessibility, Interoperability, and Reusability) to enhance data sharing and reuse. The primary output of our work is the development of an automated pipeline that continuously processes and integrates NGS data with clinical and biobank information upon their creation. It stores the data in a special secured repository for sensitive data in a structured form to ensure smooth retrieval.
文摘Metadata,data about other digital objects,play an important role in FAIR with a direct relation to all FAIR principles.In this paper we present and discuss the FAIR Data Point(FDP),a software architecture aiming to define a common approach to publish semantically-rich and machine-actionable metadata according to the FAIR principles.We present the core components and features of the FDP,its approach to metadata provision,the criteria to evaluate whether an application adheres to the FDP specifications and the service to register,index and allow users to search for metadata content of available FDPs.
