The Japan Link Center (JaLC) was founded in 2012 and is operated by four national organizations to register DOIs for academic content produced in Japan or Japanese. It provides DOI registration services through various methods to accommodate different types of content holders. Over 1.5 million DOIs have been registered since 2013 across various content categories like journal articles, books, theses, and research data. JaLC aims to connect different content producers and users through DOI assignment and resolution. It also engages in outreach activities to promote adoption of DOIs nationwide in a way that fits the local scholarly communication environment and business models in Japan.
The document summarizes the experimental project of registering Digital Object Identifiers (DOIs) for research data at the Japan Link Center (JaLC). The project aims to establish workflows for registering DOIs for research data and test the registration of data DOIs. It involves 9 research projects and 14 organizations registering and integrating DOIs for their data through the JaLC system. The project addresses several issues in registering DOIs for dynamic research data, such as data lifecycles, granularity, persistence, and handling changes over time.
The document discusses Japan Link Center's (JaLC) experiment to register DOIs for research data. The experiment aims to establish workflows for registering DOIs for research data using JaLC's system. It involves 9 projects with 14 organizations testing DOI registration for research data. The document outlines several issues in registering DOIs for data, including operations flow, persistent access, granularity, dynamics of data, and quantity of data. It also provides examples of how projects can involve multiple institutions and how data lifecycles differ from literature.
The document discusses open science and the role of identifiers like DOIs. It describes how research data sharing has become core to open science due to the Internet and digital archives. Researchers now publish their data in addition to papers. Well-managed metadata standards and identifier systems help integrate data across its life cycle from creation to archiving. The DOI system provides persistent links for digital objects and is increasingly used for research data through registration agencies like DataCite.
This presentation discusses bridging research and collections at the International Institute of Social History (IISH). It outlines the IISH's mission to conduct historical research and collect related data to make it available to other researchers. It describes the data and target groups at the IISH. It then discusses requirements and methodologies for historical research, data collecting, and software development to support researchers and collectors. Finally, it demonstrates potential solutions like the Evergreen library system and Clio Infra and HiTIME tools to help analyze text and link data.
This document proposes a system called "Landing Pages" to improve data citation practices. Landing Pages would serve as a publishing record for datasets, describing the data to allow for proper citation. They would provide context on how to access and use the data and include links directly to the data. Related "Citation Pages" created by authors would link to the Landing Page and describe any additional processing of the data. The system aims to address challenges around identifying datasets, assigning persistent identifiers, and encouraging authors to cite data properly.
DataCite and Campus Data Services
Paul Bracke, Associate Dean for Digital Programs and Information Services, Purdue University
Research libraries are increasingly interested in developing data services for their campuses. There are many perspectives, however, on how to develop services that are responsive to the many needs of scientists; sensitive to the concerns of scientists who are not always accustomed to sharing their data; and that are attractive to campus administrators. This presentation will discuss the development of campus-based data services programs, the centrality of data citation to these efforts, and the ways in which engagement with DataCite can enhance local programs.
This document discusses several topics that will drive the future of digital libraries, including data management plans, data citation, curation service models, sustainability, training data practitioners, and more. Specific issues covered include scientific data support, data identifiers, curation best practices, cost models, educating librarians in data management, and the role of digital libraries in enabling reproducible science through 2050.
Planning for Research Data Management: 26th January 2016IzzyChad
This document provides an overview of a session on planning for research data management. It discusses what research data management is, why it is important, and walks through the steps for creating a data management plan. The presenter explains the benefits of effective data management, such as helping researchers work more efficiently and enabling data sharing. Key aspects of a data management plan are also outlined, including describing the data, addressing ethics and intellectual property, determining how data will be stored and preserved, and making plans for data sharing and access.
This document summarizes a presentation on open science and open data. It discusses the importance of open research data for reproducibility and innovation. It outlines key policy developments promoting open data, including funder data policies and journal data policies. It also describes CODATA's activities related to data policies, frameworks for developing open data strategies, and components of the international open science ecosystem.
S. Venkataraman (DCC) talks about the basics of Research Data Management and how to apply this when creating or reviewing a Data Management Plan (DMP). He discusses data formats and metadata standards, persistent identifiers, licensing, controlled vocabularies and data repositories.
link to : dcc.ac.uk/resources
This document summarizes Rob Grim's presentation on e-Science, research data, and the role of libraries. It discusses the Open Data Foundation's work in promoting metadata standards like DDI and SDMX. It also outlines the research data lifecycle and how metadata management can help libraries support research through services like data registration, archiving, discovery and access. Finally, it provides examples of how Tilburg University library supports research data through services aligned with data availability, discovery, access and delivery.
Functional and Architectural Requirements for Metadata: Supporting Discovery...Jian Qin
The tremendous growth in digital data has led to an increase in metadata initiatives for different types of scientific data, as evident in Ball’s survey (2009). Although individual communities have specific needs, there are shared goals that need to be recognized if systems are to effectively support data sharing within and across all domains. This paper considers this need, and explores systems requirements that are essential for metadata supporting the discovery and management of scientific data. The paper begins with an introduction and a review of selected research specific to metadata modeling in the sciences. Next, the paper’s goals are stated, followed by the presentation of valuable systems requirements. The results include a base-model with three chief principles: principle of least effort, infrastructure service, and portability. The principles are intended to support “data user” tasks. Results also include a set of defined user tasks and functions, and applications scenarios.
Research Data Curation _ Grad Humanities ClassAaron Collie
This document discusses best practices for research data curation and management. It covers topics such as data storage, file organization, documentation, sharing, and archiving. Effective data management practices include making backups in multiple locations, using logical file naming conventions and organization schemes, documenting projects, processes, and data, publishing and sharing data when appropriate, and archiving data for long-term preservation and access. Proper data management ensures that valuable research data is organized, preserved, and accessible to enable future research and verification of results.
How Portable Are the Metadata Standards for Scientific Data?Jian Qin
The one-covers-all approach in current metadata standards for scientific data has serious limitations in keeping up with the ever-growing data. This paper reports the findings from a survey to metadata standards in the scientific data domain and argues for the need for a metadata infrastructure. The survey collected 4400+ unique elements from 16 standards and categorized these elements into 9 categories. Findings from the data included that the highest counts of element occurred in the descriptive category and many of them overlapped with DC elements. This pattern also repeated in the elements co-occurred in different standards. A small number of semantically general elements appeared across the largest numbers of standards while the rest of the element co-occurrences formed a long tail with a wide range of specific semantics. The paper discussed implications of the findings in the context of metadata portability and infrastructure and pointed out that large, complex standards and widely varied naming practices are the major hurdles for building a metadata infrastructure.
The document provides information about MANTRA, a free online course for research data management created by the University of Edinburgh. MANTRA teaches best practices for managing research data through open educational modules aligned with the research data lifecycle. It is available for reuse and repurposing under an open license. The course covers topics like data planning, organization, documentation, storage, security, and sharing.
This document discusses persistent identifiers and the EZID service for assigning and managing them. It begins with an overview of why data and identifiers are important for scholarly communication. It then covers what identifiers are, including their basic components and functions. The bulk of the document focuses on introducing the EZID service and how it can be used to easily create and manage persistent identifiers and associated metadata over time. It compares EZID to other identifier schemes like DOIs and ARKs. Finally, it discusses how identifiers can help researchers share, distribute and get credit for their work.
Managing data throughout the research lifecycleMarieke Guy
This document summarizes a presentation about managing data throughout the research lifecycle. It discusses the stages of the research lifecycle, including planning, data creation, documentation, storage, sharing, and preservation. It provides examples of research lifecycle models and addresses key questions to consider at each stage, such as what formats to use, how to document data, where to store it, and how to share and preserve it. The presentation emphasizes making informed decisions about data management and talking to colleagues for support and advice.
Research Data Management Fundamentals for MSU Engineering StudentsAaron Collie
This document discusses the importance of research data management and outlines best practices. It notes that data is expensive to produce but is the primary output of research. Funding agencies now require data management plans to facilitate data sharing and reuse. The document recommends storing data on multiple types of storage, avoiding single points of failure, creating backup strategies, documenting projects and data, and selecting open file formats. Overall, it emphasizes that data management is an important skill for researchers.
This slideshow was used in a Preparing Your Research Data for the Future course taught in the Medical Sciences Division, University of Oxford, on 2015-06-08. It provides an overview of some key issues, focusing on long-term data management, sharing, and curation.
Going Full Circle: Research Data Management @ University of PretoriaJohann van Wyk
Presentation delivered at the eResearch Africa Conference, held 23-27 November 2014, at the University of Cape Town, Cape Town, South Africa. Various approaches to Research Data Management at Higher Education Institutions focus on an aspect or two of the research data cycle. At the University of Pretoria the approach has been to support researchers throughout the research process covering the whole research data cycle. The idea is to facilitate/capture the research data throughout the research cycle. This will give context to the data and will add provenance to the data. The University of Pretoria uses the UK Data Archive’s research data cycle model, to align its Research Data Management project-development. This model identifies the stages of a research data cycle as: creating data, processing data, analysing data, preserving data, giving access to data, and reusing data. This paper will give a short overview of the chronological development of research data management at the University of Pretoria. The overview will also highlight findings of two surveys done at the University, one in 2009 and one in 2013. This will be followed by a discussion of a number of pilot projects at the University, and how the needs of researchers involved in these projects are being addressed in a number of the stages of the research data cycle. The discussion will also give a short overview of how the University plans to support those stages not currently being addressed. The second part of the presentation will focus on the projects and technology (software and hardware) used. The University of Pretoria has adopted an Enterprise Content Management (ECM) approach to manage its Research Data. ECM is not a singular platform or system but rather a set of strategies, tools and methodologies that interoperate with each other to create a comprehensive management tool. These sets create an all-encompassing process addressing document, web, records and digital asset management. At the University of Pretoria we address all these processes with different software suites and tools to create a complete management system. Each process presented its own technical challenges. These had to be addressed, while keeping in mind the end objective of supporting researchers throughout the whole research process and data life cycle. Various platforms and standards have been adopted to meet the University of Pretoria’s criteria. To date three processes have been addressed namely, the capturing of data during the research process, the dissemination of data and the preservation of data.
This document introduces the DDI-RDF Discovery Vocabulary, which is a metadata vocabulary for documenting research and survey data as linked data on the web. It provides a conceptual model and overview of the vocabulary, which was developed by mapping concepts from the established DDI standard for social science data documentation to RDF. The vocabulary aims to improve discovery, publishing and linking of microdata by representing DDI metadata as linked data. It was developed by an international community of statistics and linked data experts over multiple workshops.
"Data in Context" IG sessions @ RDA 3rd PlenaryBrigitte Jörg
The Data in Context Interest Group at the 3rd RDA Plenary in Dublin discussed developing standards and requirements for representing data context through the data lifecycle. They reviewed several existing data lifecycle and metadata models, as well as relevant standards organizations. Their work plan involves creating an overview of context-aware standards by month 6 and a prioritized requirements list by month 12. The long-term goal is to establish a Working Group to implement standardized profiles and enable automated transformation between standards to represent data context.
A presentation given by Manjula Patel (UKOLN) at the Repository Curation Environments (RECURSE) Workshop held at the 4th International Digital Curation Conference, Edinburgh, 1st December 2008,
http://www.dcc.ac.uk/events/dcc-2008/programme/
The document summarizes a CrossRef workshop held in Gauteng, South Africa in September 2015. It introduced CrossRef and its role in managing digital object identifiers (DOIs) to uniquely identify scholarly works, enabling linking between references and cited works. It outlined CrossRef's history and services, including DOI registration and metadata deposit, and encouraging long-term archiving of scholarly works. The document also reviewed CrossRef participation benefits and growing statistics on registered DOIs and annual clicks to publisher sites.
This document discusses ORCID (Open Researcher and Contributor Identifier), a global registry that assigns unique identifiers to researchers. It summarizes the development of the Australian ORCID Consortium, which aims to make Australia's research data more valuable by accurately linking researchers to their publications, data, and other work. The consortium launched in February 2016 with 40 institutional members and has since seen 15 members integrate ORCID into their systems, with many others in the planning or testing phases. The consortium took a national approach and collaborated extensively with stakeholders to achieve strong uptake. Benefits from ORCID implementation may take 3 years to fully realize.
Planning for Research Data Management: 26th January 2016IzzyChad
This document provides an overview of a session on planning for research data management. It discusses what research data management is, why it is important, and walks through the steps for creating a data management plan. The presenter explains the benefits of effective data management, such as helping researchers work more efficiently and enabling data sharing. Key aspects of a data management plan are also outlined, including describing the data, addressing ethics and intellectual property, determining how data will be stored and preserved, and making plans for data sharing and access.
This document summarizes a presentation on open science and open data. It discusses the importance of open research data for reproducibility and innovation. It outlines key policy developments promoting open data, including funder data policies and journal data policies. It also describes CODATA's activities related to data policies, frameworks for developing open data strategies, and components of the international open science ecosystem.
S. Venkataraman (DCC) talks about the basics of Research Data Management and how to apply this when creating or reviewing a Data Management Plan (DMP). He discusses data formats and metadata standards, persistent identifiers, licensing, controlled vocabularies and data repositories.
link to : dcc.ac.uk/resources
This document summarizes Rob Grim's presentation on e-Science, research data, and the role of libraries. It discusses the Open Data Foundation's work in promoting metadata standards like DDI and SDMX. It also outlines the research data lifecycle and how metadata management can help libraries support research through services like data registration, archiving, discovery and access. Finally, it provides examples of how Tilburg University library supports research data through services aligned with data availability, discovery, access and delivery.
Functional and Architectural Requirements for Metadata: Supporting Discovery...Jian Qin
The tremendous growth in digital data has led to an increase in metadata initiatives for different types of scientific data, as evident in Ball’s survey (2009). Although individual communities have specific needs, there are shared goals that need to be recognized if systems are to effectively support data sharing within and across all domains. This paper considers this need, and explores systems requirements that are essential for metadata supporting the discovery and management of scientific data. The paper begins with an introduction and a review of selected research specific to metadata modeling in the sciences. Next, the paper’s goals are stated, followed by the presentation of valuable systems requirements. The results include a base-model with three chief principles: principle of least effort, infrastructure service, and portability. The principles are intended to support “data user” tasks. Results also include a set of defined user tasks and functions, and applications scenarios.
Research Data Curation _ Grad Humanities ClassAaron Collie
This document discusses best practices for research data curation and management. It covers topics such as data storage, file organization, documentation, sharing, and archiving. Effective data management practices include making backups in multiple locations, using logical file naming conventions and organization schemes, documenting projects, processes, and data, publishing and sharing data when appropriate, and archiving data for long-term preservation and access. Proper data management ensures that valuable research data is organized, preserved, and accessible to enable future research and verification of results.
How Portable Are the Metadata Standards for Scientific Data?Jian Qin
The one-covers-all approach in current metadata standards for scientific data has serious limitations in keeping up with the ever-growing data. This paper reports the findings from a survey to metadata standards in the scientific data domain and argues for the need for a metadata infrastructure. The survey collected 4400+ unique elements from 16 standards and categorized these elements into 9 categories. Findings from the data included that the highest counts of element occurred in the descriptive category and many of them overlapped with DC elements. This pattern also repeated in the elements co-occurred in different standards. A small number of semantically general elements appeared across the largest numbers of standards while the rest of the element co-occurrences formed a long tail with a wide range of specific semantics. The paper discussed implications of the findings in the context of metadata portability and infrastructure and pointed out that large, complex standards and widely varied naming practices are the major hurdles for building a metadata infrastructure.
The document provides information about MANTRA, a free online course for research data management created by the University of Edinburgh. MANTRA teaches best practices for managing research data through open educational modules aligned with the research data lifecycle. It is available for reuse and repurposing under an open license. The course covers topics like data planning, organization, documentation, storage, security, and sharing.
This document discusses persistent identifiers and the EZID service for assigning and managing them. It begins with an overview of why data and identifiers are important for scholarly communication. It then covers what identifiers are, including their basic components and functions. The bulk of the document focuses on introducing the EZID service and how it can be used to easily create and manage persistent identifiers and associated metadata over time. It compares EZID to other identifier schemes like DOIs and ARKs. Finally, it discusses how identifiers can help researchers share, distribute and get credit for their work.
Managing data throughout the research lifecycleMarieke Guy
This document summarizes a presentation about managing data throughout the research lifecycle. It discusses the stages of the research lifecycle, including planning, data creation, documentation, storage, sharing, and preservation. It provides examples of research lifecycle models and addresses key questions to consider at each stage, such as what formats to use, how to document data, where to store it, and how to share and preserve it. The presentation emphasizes making informed decisions about data management and talking to colleagues for support and advice.
Research Data Management Fundamentals for MSU Engineering StudentsAaron Collie
This document discusses the importance of research data management and outlines best practices. It notes that data is expensive to produce but is the primary output of research. Funding agencies now require data management plans to facilitate data sharing and reuse. The document recommends storing data on multiple types of storage, avoiding single points of failure, creating backup strategies, documenting projects and data, and selecting open file formats. Overall, it emphasizes that data management is an important skill for researchers.
This slideshow was used in a Preparing Your Research Data for the Future course taught in the Medical Sciences Division, University of Oxford, on 2015-06-08. It provides an overview of some key issues, focusing on long-term data management, sharing, and curation.
Going Full Circle: Research Data Management @ University of PretoriaJohann van Wyk
Presentation delivered at the eResearch Africa Conference, held 23-27 November 2014, at the University of Cape Town, Cape Town, South Africa. Various approaches to Research Data Management at Higher Education Institutions focus on an aspect or two of the research data cycle. At the University of Pretoria the approach has been to support researchers throughout the research process covering the whole research data cycle. The idea is to facilitate/capture the research data throughout the research cycle. This will give context to the data and will add provenance to the data. The University of Pretoria uses the UK Data Archive’s research data cycle model, to align its Research Data Management project-development. This model identifies the stages of a research data cycle as: creating data, processing data, analysing data, preserving data, giving access to data, and reusing data. This paper will give a short overview of the chronological development of research data management at the University of Pretoria. The overview will also highlight findings of two surveys done at the University, one in 2009 and one in 2013. This will be followed by a discussion of a number of pilot projects at the University, and how the needs of researchers involved in these projects are being addressed in a number of the stages of the research data cycle. The discussion will also give a short overview of how the University plans to support those stages not currently being addressed. The second part of the presentation will focus on the projects and technology (software and hardware) used. The University of Pretoria has adopted an Enterprise Content Management (ECM) approach to manage its Research Data. ECM is not a singular platform or system but rather a set of strategies, tools and methodologies that interoperate with each other to create a comprehensive management tool. These sets create an all-encompassing process addressing document, web, records and digital asset management. At the University of Pretoria we address all these processes with different software suites and tools to create a complete management system. Each process presented its own technical challenges. These had to be addressed, while keeping in mind the end objective of supporting researchers throughout the whole research process and data life cycle. Various platforms and standards have been adopted to meet the University of Pretoria’s criteria. To date three processes have been addressed namely, the capturing of data during the research process, the dissemination of data and the preservation of data.
This document introduces the DDI-RDF Discovery Vocabulary, which is a metadata vocabulary for documenting research and survey data as linked data on the web. It provides a conceptual model and overview of the vocabulary, which was developed by mapping concepts from the established DDI standard for social science data documentation to RDF. The vocabulary aims to improve discovery, publishing and linking of microdata by representing DDI metadata as linked data. It was developed by an international community of statistics and linked data experts over multiple workshops.
"Data in Context" IG sessions @ RDA 3rd PlenaryBrigitte Jörg
The Data in Context Interest Group at the 3rd RDA Plenary in Dublin discussed developing standards and requirements for representing data context through the data lifecycle. They reviewed several existing data lifecycle and metadata models, as well as relevant standards organizations. Their work plan involves creating an overview of context-aware standards by month 6 and a prioritized requirements list by month 12. The long-term goal is to establish a Working Group to implement standardized profiles and enable automated transformation between standards to represent data context.
A presentation given by Manjula Patel (UKOLN) at the Repository Curation Environments (RECURSE) Workshop held at the 4th International Digital Curation Conference, Edinburgh, 1st December 2008,
http://www.dcc.ac.uk/events/dcc-2008/programme/
The document summarizes a CrossRef workshop held in Gauteng, South Africa in September 2015. It introduced CrossRef and its role in managing digital object identifiers (DOIs) to uniquely identify scholarly works, enabling linking between references and cited works. It outlined CrossRef's history and services, including DOI registration and metadata deposit, and encouraging long-term archiving of scholarly works. The document also reviewed CrossRef participation benefits and growing statistics on registered DOIs and annual clicks to publisher sites.
This document discusses ORCID (Open Researcher and Contributor Identifier), a global registry that assigns unique identifiers to researchers. It summarizes the development of the Australian ORCID Consortium, which aims to make Australia's research data more valuable by accurately linking researchers to their publications, data, and other work. The consortium launched in February 2016 with 40 institutional members and has since seen 15 members integrate ORCID into their systems, with many others in the planning or testing phases. The consortium took a national approach and collaborated extensively with stakeholders to achieve strong uptake. Benefits from ORCID implementation may take 3 years to fully realize.
The document summarizes an ORCID workshop held in the UAE on October 18, 2015. It includes the agenda for the workshop which featured presentations on using ORCID for research tracking, funding, and publishing. ORCID provides a persistent digital identifier for researchers to connect their professional activities and works across different research systems and organizations. Over 1.67 million researchers have registered for an ORCID identifier and it is being integrated in various research workflows and databases.
Building Open Research Infrastructure with PIDsETH-Bibliothek
Learn more about ORCID, how it enables connections between persistent identifiers to increase transparency and trust in research information and how to get involved.
Introduction to Crossref, Seoul - Ed PentzCrossref
The document provides an agenda for a Crossref event taking place in Seoul, South Korea. It includes sessions on Crossref as a global infrastructure partner, registering content to enable connections, how Korean research is found through Crossref metadata, additional Crossref services, community initiatives, and guest sessions on ORCID and DataCite. There will also be discussions on supporting Korean research globally, additional Crossref member services, and data sharing policies. The event aims to showcase how Crossref can help Korean research have global reach and visibility.
VIVO and persistent identifiers: Integrating ORCID_08152013Rebecca Bryant, PhD
Title: VIVO and persistent identifiers: Integrating ORCID
Presented at the VIVO 2013 conference in St. Louis, MO, 08/15/13
Presenters:
Rebecca Bryant, PhD, ORCID, Bethesda, MD, USA
Hal Warren, American Psychological Association, Washington DC
Simeon Warner, PhD, Cornell University, Ithaca, NY
Abstract:
Since the launch of the ORCID Registry in October 2012, thousands of researchers have claimed their ORCID iD. Organizations have been embedding ORCID identifiers in manuscript submission systems, in funding applications, and adding them to university profile systems. Even before launch, the VIVO ontology had incorporated an ORCID field. In this panel, we will provide an overview of the ORCID registry and adoption, and demonstrate how the American Psychological Association (APA) has integrated ORCID identifiers into its VIVO system and developed an application to populate ORCID records with demographic and publication attributes from APA VIVO RDF files. The ORCID data are packaged as a JSON object stored as a URI in the VIVO record. This serves as a cross-check for ORCID assertions from the publisher of works claimed and allows APA to use VIVO to extend valid provenance assertions for publications in a Linked Open Data Trust Framework. We will discuss the application of this use case for other VIVO implementations and other researcher profiling systems, focusing on integrations at universities.
The role of ORCID in the publication processORCID, Inc
ORCID provides a persistent digital identifier that distinguishes researchers and supports automated linkages between researchers and their professional activities. It serves as a hub connecting identifiers for organizations, works, and people to ensure proper attribution and discoverability. ORCID is being integrated in key research workflows like publishing, grants, and data management to insert ORCID IDs and automatically update profiles. Over 1.4 million researchers have registered for ORCID IDs and more institutions are adopting national approaches and technical integrations to promote ORCID usage.
The Research Data Alliance (RDA) is a global organization that aims to build the social and technical infrastructure to enable open sharing of data across technologies, disciplines, and countries. It is supported by the European Commission, Australian National Data Service, and US National Science Foundation. RDA brings together experts and practitioners to develop standards, develop tools, and overcome barriers to data sharing through Working Groups and Interest Groups. Upcoming outputs from RDA in 2014 include developing systems for data type registries, persistent identifier information types, metadata standards, and practical data policies. RDA currently has over 1,500 members from over 70 countries working to advance open data sharing.
The document discusses plans by the Japan Link Center (JaLC) to expand its Digital Object Identifier (DOI) registration services. Currently JaLC registers DOIs for journal articles and will soon add additional content types like books, theses, reports, and research data. To gain experience with registering DOIs for research data, JaLC will conduct an experimental project involving participant organizations. The project aims to establish workflows for stable research data DOI registration and integration with DataCite standards. Testing is scheduled to begin in the fall. The addition of data and other content will help JaLC further its goal of supporting all researcher activities through persistent identification with DOIs.
The document discusses ORCID and its role in facilitating interoperability and discoverability in research. Some key points:
1. ORCID provides a free, open, global registry of unique researcher identifiers that links researchers to their works. This helps address problems like discoverability and author name disambiguation.
2. Over 166,000 identifiers have been issued so far from over 56 countries. Integration is occurring in areas like manuscript submission, grants, and repositories.
3. The presenters encourage broader adoption of ORCID by researchers, research organizations, and research workflows. Wider use of ORCID IDs embedded in research outputs could realize greater benefits around interoperability and reduced workload.
The Research Data Alliance (RDA) is an international organization with over 3,200 members from over 100 countries that works to reduce barriers to data sharing and exchange. RDA develops infrastructure and standards to facilitate data sharing across disciplines and borders. It has numerous working groups addressing issues like metadata, data citation, and interoperability. Membership is free and open to individuals and organizations with an interest in open data. RDA produces recommendations and outputs to enhance data infrastructure, practices, and policies. It holds plenary meetings to discuss progress and foster collaboration.
Who's the Author? Identifier soup - ORCID, ISNI, LC NACO and VIAFSimeon Warner
Identifiers, including ORCID, ISNI, LC NACO and VIAF, are playing an increasing role in library authority work. Well describe changes to cataloging practices to leverage identifiers. We'll then tell a short story of the how and why of ORCID identifiers for researchers, and relationships with other person identifiers. Finally, we'll discuss the use of identifiers as part of moves toward linked data cataloging being explored in Linked Data for Libraries work (in the LD4L Labs and LD4P projects).
IDS Project: Promoting library excellence through community and technologyTim Bowersox
An overview of the IDS Project, a library cooperative in NY state that promotes library excellence through community and technology. For more info, visit http://idsproject.org
RDA is an international organization focused on data sharing and exchange. It has over 4,300 members from over 110 countries working to reduce barriers to data sharing across disciplines. RDA develops infrastructure and standards to enable open data sharing through working groups. Its goals are to address challenges like reproducibility, data preservation, and metadata. Members come from academia, government, industry and collaborate on technical solutions and policies to facilitate global data collaboration.
RDA is an international organization focused on data sharing and exchange. It has over 4,200 members from over 110 countries working to reduce barriers to data sharing across disciplines. RDA develops infrastructure and standards to enable open data sharing through working groups. Its goals are to address challenges like reproducibility, data preservation, and metadata. Members come from academia, government, industry and collaborate on technical solutions and social aspects of data stewardship.
This document discusses the concept of "dividual" or "fragmented person" and proposes a "dividual-type society". It explains that in anthropology, a dividual refers to a person composed of multiple, overlapping relationships and identities, rather than a single, fixed individual. It also discusses how philosophers like Deleuze have analyzed modern society as fragmenting people into dividuals through constant monitoring and data collection. The document argues that a dividual-type society is one where relationships and connections between people are prioritized over ideas of single, independent individuals. It proposes that understanding people as dividuals composed of multiple aspects could make society more inclusive and flexible.
1. The document appears to be a collection of various information on different topics including taxonomy, concepts, papers, events, statistics, and more.
2. It includes definitions of concepts, taxonomic classifications of species over time, bibliographic information on papers, event details, usage statistics of ontology types, and other miscellaneous information.
3. The document touches on a wide range of subjects in a disorganized manner, compiling unrelated facts and references from different domains.
Presented at Journal Paper Track, The Web Conference, Lyon, France, April 15, 2018
https://doi.org/10.1145/3184558.3186234
Abstract: Linked Open Data (LOD) technology enables web of data and exchangeable knowledge graphs through the Internet. However, the change in knowledge is happened everywhere and every time, and it becomes a challenging issue of linking data precisely because the misinterpretation and misunderstanding of some terms and concepts may be dissimilar under different context of time and different community knowledge. To solve this issue, we introduce an approach to the preservation of knowledge graph, and we select the biodiversity domain to be our case studies because knowledge of this domain is commonly changed and all changes are clearly documented. Our work produces an ontology, transformation rules, and an application to demonstrate that it is feasible to present and preserve knowledge graphs and provides open and accurate access to linked data. It covers changes in names and their relationships from different time and communities as can be seen in the cases of taxonomic knowledge.
We propose Crop Vocabulary(CVO) as a basis of the core vocabulary of crop names that becomes the guidelines for data interoperability between agricultural ICT systems on the food chain. Since a single species is treated in different ways, there are many different types of crop names. So, we organize the crop name discriminated by properties such as scientific name, planting method, edible part and registered cultivar information. Also, Crop Vocabulary is also linked to existing vocabularies issued by Japanese government agency and international organization such as AGROVOC. It is expected to use in the data format in the agricultural ICT system.
Presented in 45th Asia Pacific Advanced Network (APAN45) Meeting, Singapore (2018)
Presented as the invited talk at International Workshop on kNowledge eXplication for Industry (kNeXI2017). In this talk, I explain the experience and lesson learnt how to build ontologies. I am currently building the agriculture activity ontology (AAO). It describes classification and properties of various activities in the agriculture domain. It is formalized with Description Logics.
Presented at the Interest Group on Agricultural Data (IGAD) ,3 April, 2017, Barcelona, Spain
Abstract: n this talk, we present the current status of our agriculture ontologies that are developed to accelerate the data use in agriculture.
The agriculture activity ontology formalizes the activities in agriculture. We have developed it for three years. Now we are developing its applications. One application is to exchange formats between different farmer management systems. Another ontology is the crop ontology that standardizes the names of crops. The structure is simple but has links to many other standards in distribution industry, food industry and so on.
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- Scientific names for species can change over time as taxonomy knowledge evolves
- An event-centric ontology model represents names and changes through time using different URIs for taxon concepts at different times
- Transition and snapshot models can then simplify the descriptions by linking concepts over time or just showing current names
- This approach allows integrated representation of taxonomy knowledge and its revisions in a computable way
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Join Christoph and Marc as they demonstrate how to simplify the troubleshooting process in HCL Nomad Web, ensuring a smoother and more efficient user experience.
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📕 Here's what you can expect:
- Modeling: Build end-to-end processes using BPMN.
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This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes.
👨🏫 Speaker:
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This session streamed live on April 29, 2025, 16:00 CET.
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TrsLabs - Fintech Product & Business ConsultingTrs Labs
Hybrid Growth Mandate Model with TrsLabs
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An unbiased plan driven by clearcut deliverables, market dynamics and without the influence of your internal office equations empower business leaders to make right choices.
Getting things done within a budget within a timeframe is key to Growing Business - No matter whether you are a start-up or a big company
Talk to us & Unlock the competitive advantage
Artificial Intelligence is providing benefits in many areas of work within the heritage sector, from image analysis, to ideas generation, and new research tools. However, it is more critical than ever for people, with analogue intelligence, to ensure the integrity and ethical use of AI. Including real people can improve the use of AI by identifying potential biases, cross-checking results, refining workflows, and providing contextual relevance to AI-driven results.
News about the impact of AI often paints a rosy picture. In practice, there are many potential pitfalls. This presentation discusses these issues and looks at the role of analogue intelligence and analogue interfaces in providing the best results to our audiences. How do we deal with factually incorrect results? How do we get content generated that better reflects the diversity of our communities? What roles are there for physical, in-person experiences in the digital world?
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-Anticipated drivers of AI adoption and transformative technologies
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Mobile App Development Company in Saudi ArabiaSteve Jonas
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Attendees will learn:
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- How businesses assess third-party vendors and their consent management operations
- Where business preparedness needs improvement
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• Seamless Integration with i.MX 8M Plus and i.MX 95 – Toradex SMARC solutions leverage NXP’s i.MX 8 M Plus and i.MX 95 SoCs, delivering power efficiency and AI-ready performance.
• Secure and Reliable – With Secure Boot, over-the-air (OTA) updates, and LTS kernel support, Toradex ensures industrial-grade security and longevity.
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Do you have a specific project or application in mind where you're considering SMARC? We can help with Free Compatibility Check and help you with quick time-to-market
For more information: https://www.toradex.com/computer-on-modules/smarc-arm-family
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Drupalcamp Finland – Measuring Front-end Energy ConsumptionExove
Working with Global Infrastructure at a National Level
1. Working with Global
Infrastructure at a National Level
Hideaki Takeda
Chair, Joint Steering Committee, Japan Link Center
Professor, National Institute of Informatics
http://japanlinkcenter.org/
1Joint Global Infrastructure Conference (ORCID/Crossref/DataCite), June 15, Seoul, South Korea
http://orcid.org/0000-0002-2909-7163
[email protected]
8. Global Infrastructure for Scholarly Communication
ID
ID ID
ID
ID
ID
ID
ID
IDID
ID
• ID for
• Article
• Data
• Researcher
• Institutions, affiliation
• Funding agency, funded project
• Academic society
• Topic
• …
9. Global Infrastructure for Scholarly Communication
• So the global activity is going on.
• IDF, CrossRef, DataCite, ORCID …
• Why is the nation-wide activity needed?
• Realize interoperability over difference by nation
9
10. Global Infrastructure for Scholarly Communication
• Realize interoperability over difference by nation
• Difference from
• Language
• Scholarly Systems
• Scholarly Organization
• Scholarly Culture
• Interoperability for
• ID Systems
• Metadata
• Systems
• Information Flow
10
11. Japan Link Center (JaLC)
• Founded in March 2012
• Aimed to register DOIs for academic contents produced
in Japan or in Japanese, to circulate information in Japan and
overseas.
• Controlled by four national organizations:
Japan Science and Technology Agency (JST)
National Institute for Materials Science (NIMS)
National Institute of Informatics (NII)
National Diet Library (NDL)
• Operated by JST
• Membership system
29 Regular members
(Academic societies, Publishers, University libraries, etc)
1200+ Associate members
(978 associate members under JST, 144 associate members under NII)
• External coordination
JaLC is a member of CrossRef and DataCite.
11
12. Role of JaLC as a national service
• 1. Offer various ways for registration procedures
• 2. Offer the total service for PID Registration
• 3. Connecting various content holders and users
• 4. Pick up and implement various requests for DOI
• 5. Nation-wide outreach of DOI for various sectors
• 6. Locally suitable business model
12
13. Offer various ways for registration procedures
• Support various ways to register DOIs
• Small institutions are incapable to register DOI by themselves
• Consolidate the existing information flow
• Current Implementation
• via J-Stage (JST service for academic E-journals)
• via IRDB (Institutional Repository Aggregator)
• Via Japan Medical Abstracts Society
13
14. Organizational structure of DOI Registration
14
Members
Associate
members
International DOI Foundation
(IDF)
Registration
Agencies
etc.
etc.
etc.
Academic
societies
etc.Universities
DOI
Registrant
IDF
NDL29 members
1,518 members
15. Organizational structure of DOI Registration
15
Members
Associate
members
International DOI Foundation
(IDF)
Registration
Agencies
etc.
etc.
etc.
Academic
societies
etc.Universities
DOI
Registrant
IDF
NDL
Journals Institutional Repositories
16. Offer various ways for registration procedures
• via J-Stage (JST service for academic E-journals)
• J-Stage: 1,290 academic societies / 2,191 titles / 3,283,542 articles
• DOI Registration 1,258 assoc. members / 2,007 titles / 2,880,097 articles
(97.5%) (91.6%) (87.7%)
16
Academic Society
Academic Society
Academic Society
Academic Society
Academic Society
E-journal Platform
Journal editing
17. 17
Improving the number of access by connecting with external services
Other services
meta data
Collaboration with other services
Search engines
18. Offer various ways for registration procedures
• via IRDB (Institutional Repository Aggregator)
• IRDB: 621 institutions / 1,984,896 items
• DOI Registration 254 institutions / 118,619 items
(40.9%) (6.0%)
18
Institutional Repository
Institutional Repository
Institutional Repository
Institutional Repository
Institutional Repository
IR Aggregator & IR Search Service
harvesting
University
IRDB
19. Offer the total service for PID Registration
19
Members
Associate
members
International DOI Foundation
(IDF)
Registration
Agencies
etc.
etc.
Academic
societies
etc.Universities
DOI
Registrant
IDF
NDL
20. Offer the total service for PID Registration
20
IDF
Articles
DOI & JaLCメタデータ
JaLC Mem.JaLC Mem.JaLC Mem.
JaLC Assoc. JaLC Assoc. JaLC Assoc.
JaLC Mem.
LHS
DOI, URL
Research Data
JaLC Assoc.
DOI, URL DOI, URL
DOI、Crossref Metadata
DOI、DataCite Metadata
JaLC Metadata
22. ID for Researchers
• ORCID ID
• e-rad/KAKEN ID:
• Provided for grant application by MEXT (Ministry of Education, …)
• Almost all researchers in universities are registered
22
UniversitiesResearchers
e-rad/KAKEN ID
Gov. Funders
ORCID ID
24. Scholarly Information Infrastructure in NII
KAKEN
NII-ELS
IInstitutional
repository
Catalog information Research Information
More than
650 institutions
J-Stage
(JST) NDL
Linkage to other DB services Univ.
Library
More than
1,200 libraries
JAIRO
JSPS MEXT
Metadata and links of
Japanese journal
articles
19 M records
CiNii
Articles
Full-text of
journal articles
4.26 M records
Metadata and links of
Japanese institutional
repositories
2.22 M records
学協会
学協会Academic
Societies
Project reports of MEXT
supported scientific
researches
760 K record
compilation
digitizationintegration
digitization
compilation
NACSIS-CAT
Note: The record
numbers are as of
March 2016
Repositories
Cloud Service
CiNii
Books
Catalog of materials held by
universities
Bibliographic info 11 M records
Holding information 130 M records
Journal articles Journal articles
Scholarly information is disseminated through various portals provided by NII,
in which the information is compiled with the collaboration with universities.
Universities and Research Institutions
24
ID/Metadata for Object/Person/Project
25. Research Data Infrastructure for Open Science in NII
25
Discovery Service
Publication Platform
Research Data Management System
DOI
Subject
Repository
Metadata Management
● Linking Func between Article and Data
● Researcher and Research Project
Identification and Management Func
● Data Exchange with International
Discovery Service
Access Control Metadata Mng
Journal
Article Supplemental
Data
Institutional Research Data Mng
Hot
Storage
Hot
Storage
Hot
Storage
Cold
Storage
Cold
Storage
Cold
Storage
Data Depositor
ArchiveExp/Store
Search/Find
Data User
Article
● High Speed Access using SINET5
● Data Sharing Func using
Virtual NW and ID Federation
● Effective Data Storage Switcher
● Data oriented Self-Archiving Func
● Versioning and auto-Packaging Func
● User Dependent Personal Data
Pseudonym Func
Research Data Repository
Private Shared Public
RDM Platform
Discovery Service
International
Metadata
Aggregator
Storage Area for Long-term Preservation
Re-use
Metadata Aggregation
Exp Data
User Flow
Data Flow
for Data
for Data
Research Data Mng User Interface
26. Summary
• Interoperability is the key for global scholarly communication
• Participate the global activity
• Bridge the gap between the global and local situations
• ID Level
• Metadata Level
• Data Level
• System Level
26
https://ja.wikipedia.org/wiki/%E3%83%A9%E3%82%A6%E3%83%B3%E3%83%89%E3%82%A2%E3%83%90%E3%82%A6%E3%83%88#/media/File:Swindon_Magic_Roundabout.svg