Search (4 results, page 1 of 1)

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Abstract

Das internationale ORCID-Konsortium vernetzt Publizierende mit ihren Aufsätzen und Forschungsdaten über eine eindeutige ID. Weltweit besitzen bereits über 2 Millionen Forschende eine solche Kennung. Um ORCID in Deutschland zu fördern, wurde das Projektvorhaben "ORCID DE - Förderung der Open Researcher and Contributor ID in Deutschland" gebildet. Die Deutsche Forschungsgemeinschaft (DFG) hat die Förderung des auf drei Jahre angelegten Projekts im Februar 2016 bewilligt. Durch die Integration in über 230 digitale Informationsinfrastrukturen erleichtert die Open Researcher and Contributor ID, kurz ORCID, die Pflege der Publikationsliste für Forscherinnen und Forscher. Die Idee dahinter ist folgende: Jede Person, die im wissenschaftlichen Arbeitsprozess einen Beitrag leistet, kann sich über die eindeutige ORCID-Kennung mit ihren Publikationen, Forschungsdaten und anderen Produkten des Forschungsprozesses (zum Beispiel Software) eindeutig vernetzen. Damit werden diese Objekte sichtbar und technisch verlässlich mit ihren Erschafferinnen und Erschaffern verbunden. ORCID bietet das Potenzial, bisher verteilte Informationen standardisiert zusammenzuführen und damit einen Überblick auf die Forschungsleistung von Forschenden zu ermöglichen. Durch die Offenheit des Systems und des großen internationalen Konsortiums ist ORCID auf dem Weg, ein langfristig gültiger Identifikator im wissenschaftlichen Alltag zu werden.

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Abstract

Purpose - The purpose of this paper is to present functional requirements for bibliographic records (FRBR)-based model and functional requirements for authority data (FRAD)-based model; both of which incorporate an event concept that transforms FRBR and FRAD with minimal modification. Design/methodology/approach - Relationships between the entities defined in FRBR/FRAD are transformed into event entities and relationships with other kinds of entities. The cardinality of those relationships is also examined. In addition, a comparison of the proposed FRBR-based model with the object-oriented FRBR (FRBROO) is conducted. Findings - In the proposed event-aware FRBR model, an event and its output resource are dependent on each other and necessary information about an event can be expressed with information about its output resource, and vice versa. Therefore, the usefulness and expressiveness of the proposed model is limited. In the FRBROO model, dependency between an event and its output resource is not observed, except in a few cases, since a different resource and event modeling was adopted there. The event-aware FRAD model proposed is useful - but also the scope of its usefulness limited since dependency between an event and its input/output resource is not observed on some event entities. Originality/value - The proposed models are meaningful in terms of understanding the basic structure and features of a model that incorporates an event concept. The usefulness and limitation of event modeling have been clarified through such model building. The proposed models provide a stable basis for examining FRBR/FRAD further.

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Abstract

Considering the expansion of research output across the globe, along with the growing demand for quantitative tracking of research outcomes by government authorities and research institutions, the challenges of author identity are increasing. In recent years, a number of initiatives to help solve the author "name game" have been launched from all areas of the scholarly information market space. This article introduces the various author identification tools and services Thomson Reuters provides, including Distinct Author Sets and ResearcherID-which reflect a combination of automated clustering and author participation-as well as the use of other data types, such as grants and patents, to expand the universe of author identification. Industry-wide initiatives such as the Open Researcher and Contributor ID (ORCID) are also described. Future author-related developments in ResearcherID and Thomson Reuters Web of Knowledge are also included.

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Abstract

Bibliographic data is used to describe resources held in the collections of libraries, archives and museums. That data is mostly available on the Web today and mostly as linked data. Also on the Web are the controlled vocabulary systems of name authority files, like the Virtual International Authority File (VIAF), classification systems, and subject terms. These systems offer their own linked data to potentially help users find the information they want - whether at their local library or anywhere in the world that is willing to make their resources available. We have found it beneficial to merge authority data for names on a global level, as the entities are relatively clear. That is not true for subject concepts and terminology that have categorisation systems developed according to varying principles and schemes and are in multiple languages. Rather than requiring everyone in the world to use the same categorisation/classification system in the same language, we know that the Web offers us the opportunity to add descriptors assigned around the world using multiple systems from multiple perspectives to identify our resources. Those descriptors add value to refine searches, help users worldwide and share globally what each library does locally.