ORCID identifiers are essential for establishing academic author disambiguation and tracking publications.
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Peer-reviewed literature and reference resources establish that ORCID identifiers uniquely identify scholars, prevent name ambiguity, and connect researchers to their publication records and scholarly outputs.
Unique identifiers of researchers and authors can help all stakeholders of scientific communications improve their workflows. There have been several attempts to establish professional networks of scholars and list their scholarly achievements on digital platforms. Some of these platforms such as Google Scholar, Web of Knowledge and PubMed are searched to pick relevant peer reviewers, assess authors' publication history or choose suitable candidates for research and academic projects. However, each of these hubs has its specific applications, limiting the universal use for permanent tagging of researcher profiles. The Open Researcher and Contributor ID (ORCID) initiative, launched in 2012, is aimed at registering scholarly contributors and averting the persistent ambiguity of recorded author names. The ORCID registry is growing fast and integrating with other ID-generating platforms, thereby increasing the functionality of the integrated systems. ORCID identifiers are increasingly used for selecting peer reviewers and acknowledging various scholarly contributions (e.g., published articles, reviewer comments, conference presentations). The initiative offers unique opportunities for transparent disclosures of author contributions and competing interests and improving ethical standards of research, editing, and publishing.
As scholarly communications became digital, Open Access and, more broadly, open research, emerged among the most exciting possibilities of the academic Web. However, these possibilities have been constrained by phenomena carried over from the print age. Information resources dwell in discrete silos. It is difficult to connect authors and others unambiguously to specific outputs, despite advances in algorithmic matching. Connecting funding information, datasets, and other essential research information to individuals and their work is still done manually at great expense in time and effort. Given that one of the greatest benefits of the modern web is the rich array of links between digital objects and related resources that it enables, this is a significant failure. The ability to connect, discover, and access resources is the underpinning premise of open research, so tools to enable this, themselves open, are vital. The increasing adoption of resolvable, persistent identifiers for people, digital objects, and research information offers a means of providing these missing connections. This article describes some of the ways that identifiers can help to unlock the potential of open research, focusing on the Open Researcher and Contributor Identifier (ORCID), a person identifier that also serves to link other identifiers.
Generating accurate publication lists by researchers can be challenging when faced with scholars who have common names or who have published under name variations. This article describes ORCID and the goal of generating author identifiers for scholars to connect their research outputs. Included are the reasons for having author identifiers as well as the types of information within individual profiles. This article includes information on how academic libraries are playing a role with ORCID initiatives as well as describing how publishers, institutions, and funders are employing ORCID in their workflows. Highlighted is material on academic institutions in Pennsylvania using ORCID. The purpose of the article is to provide an overview of ORCID and its uses to inform librarians about this important initiative.
The ORCID ( ; Open Researcher and Contributor ID) is a nonproprietary persistent identifier, in the form of an alphanumeric code, to uniquely identify authors and contributors of scholarly communication.
This addresses the problem that a particular author's contributions to the scientific literature or humanities publications can be hard to recognize, as most personal names are not unique, they ca
The ORCID ( ; Open Researcher and Contributor ID) is a nonproprietary persistent identifier, in the form of an alphanumeric code, to uniquely identify authors and contributors of scholarly communication.
This addresses the problem that a particular author's contributions to the scientific literature or humanities publications can be hard to recognize, as most personal names are not unique, they can change (such as with marriage), have cultural differences in name order, contain inconsistent use of first-name abbreviations and employ different writing systems. It provides a persistent identity for humans, similar to tax ID numbers, that are created for content-related entities on digital networks by digital object identifiers (DOIs).
The ORCID system includes a website and services to look up authors and their bibliographic output (and other user-supplied pieces of information).
Both Wikipedia and Wikidata include pages with ORCID identifiers.
As of 2014 in addition to members and sponsors, journals, publishers, and other services have or had included ORCID in their workflows or databases. In 2014 to 2016 some online services created tools for exporting data to, or importing data from, ORCID.
In October 2015, DataCite, Crossref and ORCID announced that the former organisations would update ORCID records, "when an ORCID identifier is found in newly registered DOI names".
Some ORCID data may also be retrieved as RDF/XML, RDF Turtle, XML or JSON. ORCID uses GitHub as its code repository.
Among the external services used, the ORCID Public API is of crucial importance for the task of author disambiguation. During the OCC ingestion workflow, the main metadata of an article are usually retrieved from the Crossref API.
Among the external services used, the ORCID Public API is of crucial importance for the task of author disambiguation. During the OCC ingestion workflow, the main metadata of an article are usually retrieved from the Crossref API.
Presentamos los trabajos de adaptación a las directrices OpenAIRE que se han realizado en el Repositorio Universitario Arias Montano de la Universidad de Huelva. Se describen la compatibilidad OpenAIRE 1 y Open Aire 3, logrando recientemente le adaptación a OpenAire 4.0. Entre estos extremos, aparecen otros trabajos fundamentales para la evolución, como la incorporación de los ORCID iDs de los autores, mediante el modelo de autoridades de Dspace. De importancia en el momento actual, la comunicación hará énfasis en la adaptación a OpenAire 4.0 de Arias Montano, uno de los primeros repositorios
Developing a persistent identifier roadmap for open access to UK research ← Developing a persistent identifier roadmap for open access to UK research ( 2020 ) by Josh Brown → information about this edition 4323396 Developing a persistent identifier roadmap for open access to UK research 2020 Josh Brown Report by Josh Brown. Submitted to Jisc July 2019, revised April 2020. NB: This report was prepared as part of Jisc’s work in response to Prof. Adam Tickell’s recommendation “Jisc to lead on selecting and promoting a range of unique identifiers, including ORCID, in collaboration with sector leaders with relevant partner organisations. Funders of research to consider mandating the use of an agreed range of unique identifiers as a condition of grant.” [ 1 ] Prof. Tickell’s recommendations drew on work conducted under the auspices of Universities UK to support an efficient, sustainable transition to open access. As a result, this report emphasises those persistent identifiers most applicable to open access to research publications. These identifiers will have applications more widely. Increasing their usage and adoption in the service of open access should bring benefits to many of these applications also, fostering a stronger, more open and efficient research information ecosystem. Introduction “Using PIDs offers thus a number of great advantages such as clear and stable identities allowing humans and machines to exactly refer to the right data even after many years, to have easy
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