The document discusses a meeting to discuss interoperability between ORCID and DataCite. It then provides information about the National Institute of Informatics in Japan and its various scholarly communication services including article and book indexing, institutional repository aggregation, and a researcher name resolver. The researcher name resolver uses consistent IDs, including those from the KAKEN grant system, to link researcher information and resources across different databases and repositories. It currently has information on nearly 200,000 Japanese researchers.
The Internet, Science, and Transformations of KnowledgeEric Meyer
Talk on June 7, 2012 in the Harvard SAP Speaker Series (Office of the Senior Associate Provost for the Harvard Library).
http://www.provost.harvard.edu/harvard_library/sap_speakers_series.php
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.
Keynote: SemSci 2017: Enabling Open Semantic Science
1st International Workshop co-located with ISWC 2017, October 2017, Vienna, Austria,
https://semsci.github.io/semSci2017/
Abstract
We have all grown up with the research article and article collections (let’s call them libraries) as the prime means of scientific discourse. But research output is more than just the rhetorical narrative. The experimental methods, computational codes, data, algorithms, workflows, Standard Operating Procedures, samples and so on are the objects of research that enable reuse and reproduction of scientific experiments, and they too need to be examined and exchanged as research knowledge.
We can think of “Research Objects” as different types and as packages all the components of an investigation. If we stop thinking of publishing papers and start thinking of releasing Research Objects (software), then scholar exchange is a new game: ROs and their content evolve; they are multi-authored and their authorship evolves; they are a mix of virtual and embedded, and so on.
But first, some baby steps before we get carried away with a new vision of scholarly communication. Many journals (e.g. eLife, F1000, Elsevier) are just figuring out how to package together the supplementary materials of a paper. Data catalogues are figuring out how to virtually package multiple datasets scattered across many repositories to keep the integrated experimental context.
Research Objects [1] (http://researchobject.org/) is a framework by which the many, nested and contributed components of research can be packaged together in a systematic way, and their context, provenance and relationships richly described. The brave new world of containerisation provides the containers and Linked Data provides the metadata framework for the container manifest construction and profiles. It’s not just theory, but also in practice with examples in Systems Biology modelling, Bioinformatics computational workflows, and Health Informatics data exchange. I’ll talk about why and how we got here, the framework and examples, and what we need to do.
[1] Sean Bechhofer, Iain Buchan, David De Roure, Paolo Missier, John Ainsworth, Jiten Bhagat, Philip Couch, Don Cruickshank, Mark Delderfield, Ian Dunlop, Matthew Gamble, Danius Michaelides, Stuart Owen, David Newman, Shoaib Sufi, Carole Goble, Why linked data is not enough for scientists, In Future Generation Computer Systems, Volume 29, Issue 2, 2013, Pages 599-611, ISSN 0167-739X, https://doi.org/10.1016/j.future.2011.08.004
The Internet, Science, and Transformations of KnowledgeEric Meyer
Talk on June 7, 2012 in the Harvard SAP Speaker Series (Office of the Senior Associate Provost for the Harvard Library).
http://www.provost.harvard.edu/harvard_library/sap_speakers_series.php
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.
Keynote: SemSci 2017: Enabling Open Semantic Science
1st International Workshop co-located with ISWC 2017, October 2017, Vienna, Austria,
https://semsci.github.io/semSci2017/
Abstract
We have all grown up with the research article and article collections (let’s call them libraries) as the prime means of scientific discourse. But research output is more than just the rhetorical narrative. The experimental methods, computational codes, data, algorithms, workflows, Standard Operating Procedures, samples and so on are the objects of research that enable reuse and reproduction of scientific experiments, and they too need to be examined and exchanged as research knowledge.
We can think of “Research Objects” as different types and as packages all the components of an investigation. If we stop thinking of publishing papers and start thinking of releasing Research Objects (software), then scholar exchange is a new game: ROs and their content evolve; they are multi-authored and their authorship evolves; they are a mix of virtual and embedded, and so on.
But first, some baby steps before we get carried away with a new vision of scholarly communication. Many journals (e.g. eLife, F1000, Elsevier) are just figuring out how to package together the supplementary materials of a paper. Data catalogues are figuring out how to virtually package multiple datasets scattered across many repositories to keep the integrated experimental context.
Research Objects [1] (http://researchobject.org/) is a framework by which the many, nested and contributed components of research can be packaged together in a systematic way, and their context, provenance and relationships richly described. The brave new world of containerisation provides the containers and Linked Data provides the metadata framework for the container manifest construction and profiles. It’s not just theory, but also in practice with examples in Systems Biology modelling, Bioinformatics computational workflows, and Health Informatics data exchange. I’ll talk about why and how we got here, the framework and examples, and what we need to do.
[1] Sean Bechhofer, Iain Buchan, David De Roure, Paolo Missier, John Ainsworth, Jiten Bhagat, Philip Couch, Don Cruickshank, Mark Delderfield, Ian Dunlop, Matthew Gamble, Danius Michaelides, Stuart Owen, David Newman, Shoaib Sufi, Carole Goble, Why linked data is not enough for scientists, In Future Generation Computer Systems, Volume 29, Issue 2, 2013, Pages 599-611, ISSN 0167-739X, https://doi.org/10.1016/j.future.2011.08.004
RARE and FAIR Science: Reproducibility and Research ObjectsCarole Goble
Keynote at JISC Digifest 2015 on Reproducibility and Research Objects in Scholarly Communication
Includes hidden slides
All material except maybe the IT Crowd screengrab reusable
Being Reproducible: SSBSS Summer School 2017Carole Goble
Lecture 2:
Being Reproducible: Models, Research Objects and R* Brouhaha
Reproducibility is a R* minefield, depending on whether you are testing for robustness (rerun), defence (repeat), certification (replicate), comparison (reproduce) or transferring between researchers (reuse). Different forms of "R" make different demands on the completeness, depth and portability of research. Sharing is another minefield raising concerns of credit and protection from sharp practices.
In practice the exchange, reuse and reproduction of scientific experiments is dependent on bundling and exchanging the experimental methods, computational codes, data, algorithms, workflows and so on along with the narrative. These "Research Objects" are not fixed, just as research is not “finished”: the codes fork, data is updated, algorithms are revised, workflows break, service updates are released. ResearchObject.org is an effort to systematically support more portable and reproducible research exchange.
In this talk I will explore these issues in more depth using the FAIRDOM Platform and its support for reproducible modelling. The talk will cover initiatives and technical issues, and raise social and cultural challenges.
Results Vary: The Pragmatics of Reproducibility and Research Object FrameworksCarole Goble
Keynote presentation at the iConference 2015, Newport Beach, Los Angeles, 26 March 2015.
Results Vary: The Pragmatics of Reproducibility and Research Object Frameworks
http://ischools.org/the-iconference/
BEWARE: presentation includes hidden slides AND in situ build animations - best viewed by downloading.
Findable Accessable Interoperable Reusable < data |models | SOPs | samples | articles| * >. FAIR is a mantra; a meme; a myth; a mystery; a moan. For the past 15 years I have been working on FAIR in a bunch of projects and initiatives in Life Science projects. Some are top-down like Life Science European Research Infrastructures ELIXIR and ISBE, and some are bottom-up, supporting research projects in Systems and Synthetic Biology (FAIRDOM), Biodiversity (BioVel), and Pharmacology (open PHACTS), for example. Some have become movements, like Bioschemas, the Common Workflow Language and Research Objects. Others focus on cross-cutting approaches in reproducibility, computational workflows, metadata representation and scholarly sharing & publication. In this talk I will relate a series of FAIRy tales. Some of them are Grimm. Some have happy endings. Who are the villains and who are the heroes? What are the morals we can draw from these stories?
Research Objects: more than the sum of the partsCarole Goble
Workshop on Managing Digital Research Objects in an Expanding Science Ecosystem, 15 Nov 2017, Bethesda, USA
https://www.rd-alliance.org/managing-digital-research-objects-expanding-science-ecosystem
Research output is more than just the rhetorical narrative. The experimental methods, computational codes, data, algorithms, workflows, Standard Operating Procedures, samples and so on are the objects of research that enable reuse and reproduction of scientific experiments, and they too need to be examined and exchanged as research knowledge.
A first step is to think of Digital Research Objects as a broadening out to embrace these artefacts or assets of research. The next is to recognise that investigations use multiple, interlinked, evolving artefacts. Multiple datasets and multiple models support a study; each model is associated with datasets for construction, validation and prediction; an analytic pipeline has multiple codes and may be made up of nested sub-pipelines, and so on. Research Objects (http://researchobject.org/) is a framework by which the many, nested and contributed components of research can be packaged together in a systematic way, and their context, provenance and relationships richly described.
RARE and FAIR Science: Reproducibility and Research ObjectsCarole Goble
Keynote at JISC Digifest 2015 on Reproducibility and Research Objects in Scholarly Communication
Includes hidden slides
All material except maybe the IT Crowd screengrab reusable
Being Reproducible: SSBSS Summer School 2017Carole Goble
Lecture 2:
Being Reproducible: Models, Research Objects and R* Brouhaha
Reproducibility is a R* minefield, depending on whether you are testing for robustness (rerun), defence (repeat), certification (replicate), comparison (reproduce) or transferring between researchers (reuse). Different forms of "R" make different demands on the completeness, depth and portability of research. Sharing is another minefield raising concerns of credit and protection from sharp practices.
In practice the exchange, reuse and reproduction of scientific experiments is dependent on bundling and exchanging the experimental methods, computational codes, data, algorithms, workflows and so on along with the narrative. These "Research Objects" are not fixed, just as research is not “finished”: the codes fork, data is updated, algorithms are revised, workflows break, service updates are released. ResearchObject.org is an effort to systematically support more portable and reproducible research exchange.
In this talk I will explore these issues in more depth using the FAIRDOM Platform and its support for reproducible modelling. The talk will cover initiatives and technical issues, and raise social and cultural challenges.
Results Vary: The Pragmatics of Reproducibility and Research Object FrameworksCarole Goble
Keynote presentation at the iConference 2015, Newport Beach, Los Angeles, 26 March 2015.
Results Vary: The Pragmatics of Reproducibility and Research Object Frameworks
http://ischools.org/the-iconference/
BEWARE: presentation includes hidden slides AND in situ build animations - best viewed by downloading.
Findable Accessable Interoperable Reusable < data |models | SOPs | samples | articles| * >. FAIR is a mantra; a meme; a myth; a mystery; a moan. For the past 15 years I have been working on FAIR in a bunch of projects and initiatives in Life Science projects. Some are top-down like Life Science European Research Infrastructures ELIXIR and ISBE, and some are bottom-up, supporting research projects in Systems and Synthetic Biology (FAIRDOM), Biodiversity (BioVel), and Pharmacology (open PHACTS), for example. Some have become movements, like Bioschemas, the Common Workflow Language and Research Objects. Others focus on cross-cutting approaches in reproducibility, computational workflows, metadata representation and scholarly sharing & publication. In this talk I will relate a series of FAIRy tales. Some of them are Grimm. Some have happy endings. Who are the villains and who are the heroes? What are the morals we can draw from these stories?
Research Objects: more than the sum of the partsCarole Goble
Workshop on Managing Digital Research Objects in an Expanding Science Ecosystem, 15 Nov 2017, Bethesda, USA
https://www.rd-alliance.org/managing-digital-research-objects-expanding-science-ecosystem
Research output is more than just the rhetorical narrative. The experimental methods, computational codes, data, algorithms, workflows, Standard Operating Procedures, samples and so on are the objects of research that enable reuse and reproduction of scientific experiments, and they too need to be examined and exchanged as research knowledge.
A first step is to think of Digital Research Objects as a broadening out to embrace these artefacts or assets of research. The next is to recognise that investigations use multiple, interlinked, evolving artefacts. Multiple datasets and multiple models support a study; each model is associated with datasets for construction, validation and prediction; an analytic pipeline has multiple codes and may be made up of nested sub-pipelines, and so on. Research Objects (http://researchobject.org/) is a framework by which the many, nested and contributed components of research can be packaged together in a systematic way, and their context, provenance and relationships richly described.
OR2012, The 7th international conference on Open Repositories
09 - 13/Jul/2012, the University of Edinburgh, UK
RF3: Pecha Kucha – National Infrastructures, 11/Jul/2012: 11:00am – 12:30pm
Linking Universities - A broader look at the application of linked data and s...Mathieu d'Aquin
Presentation at the VIVO - International Research Network about Linked Universities, data.open.ac.uk, linkedup, linked data for universities, education and research.
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.
1. ORCID and DataCite Interoperability, Network (ODIN) 2012 Kickoff Meeting, Thursday 18 October 2012, Berlin
Researcher’s ID in Japan
Hideaki Takeda
National Institute of Informatics (NII)
takeda@nii.ac.jp
http://orcid.org/0000-0002-2909-7163
2. National Institute of Informatics
• Research Institute for computer science
• Provider of national-wide services for scholarly
communication
– CiNii Articles: index service of articles published in
Japan cf. WoS / Scopus cf. Elsevier/Springer
– CiNii Books: union catalog among university libraries
cf. OCLC
– Kaken: Official reports of “Grants-in-aid For scientific
research” cf. NSF
– JAIRO: Aggregation service of institutional repositories
–… cf. COAR
3. Connections among our services
Papers People Projects Books
NII-REO CiNii ResearchMap KAKEN WebcatPlus
Electronic journal Official reports of
repositories for indexing service Grants-in-aid
for academic papers Researchers profiles For scientific
universities 12 million records and SNS research
3.5 million articles URL Crawling 0.61 million reports
Informatics Researcher NACSIS
NII-ELS JAIRO Name
Square Resolver CAT
Refereed and Society support Comprehensive Resolving and linking Book Catalogs
Un-refereed with publishing and metadata harvester service for
articles from communication in for Japanese IRs researchers' names 108 million +α
societies or bulletins Informatics area 0.15 million records
3.4 million articles Powered by 0.5 million articles researchers URL Crawling
J-Stage Academic ReaD
(JST) NDL Society
Academic (JST) Google
CrossRef Scholar Google
Society
Academic
Society Other Services
OLCer
Springer Other DB Services Institutional
Institutional
Institutional
Repository Institutional University University
Repository Institutional University University
Repository
Institutional Repository Researcher
University LibraryUniversity
Information on Papers Institutional Repository Researcher
Database University LibraryUniversity
Institutional Researcher
Database University University
Repository Institutional Researcher
Database University University Library
Information on Researchers Repository Institutional
Repository Researcher
Database
Researcher University LibraryLibrary
Repository Database LibraryUniversity
Information on Books Repository(43 organizations) Database LibraryUniversity
3
LibraryUniversity
(130 organizations) Library
Library
Information on Funded Projects Universities and Institutes
4. Researcher Name Resolver (RNS)
- Switching Board for Researcher’s ID -
Working in progress
?
University Researcher DB
5. Researcher Name Resolver (RNR)
• Identity service of researchers in Japan
– Basic information of researchers with unique ID
– links to researcher’s web resources
• Basic Idea
– Extend and use Kaken ID (given to researchers by MEXT)
– Manual and Automatic mapping to ID systems in other services
http://rns.nii.ac.jp/nr/1000010295694 Researcher ID (consistent with Kaken ID)
Researcher name
(Kanji, Katakana, English character)
Researcher basic information
Direct links to the services outside
Search query formatted URL links
to the services outside
KAKENHI project research fields
198,861 researchers (27, Apr,2012).
KAKENHI project keywords
6. What is KAKENHI?
• The grants-in-aid for scientific research administrated by Ministry of
Education, Culture, Sports, Science and Technology (MEXT) in JAPAN
• The Ministry of Education, Science and Culture (currently, MEXT) has
established the KAKENHI system in 1939
• KAKENHI covers all research fields and all stages of research activities
• The only nationwide grant in Japan, and the biggest among Japanese
research budget items
• Most researchers in Japan have applied for this grant and have been
registered (currently about 150,000)
• 193.2 billion yen ( 1.932 million US$) in FY 2008
• Similar organization outside Japan
– NSF(National Science Foundation), USA
– RCUK(Research Councils of UK), UK
6
7. KAKEN – a project summary page
Project Title
Principal
Investigator
(with Kaken no.,
Affiliation)
Keywords
Co-Investigator
Links to
annual reports
Basic
Information
Abstract
7
9. Registered University Researcher DB
Muroran Institute of Technology, Obihiro University of Agriculture and Veterinary Medicine, Hirosaki University,Tohoku University, Akita University, Yamagata
University, Ibaraki University, University of Tsukuba, Gunma University, Tokyo University of Foreign Studies, Tokyo Gakugei University, Tokyo University of
Agriculture and Technology, Tokyo National University of Fine Arts and Music, Tokyo Institute of Technology, The University of Electro-Communications, Tokyo
University of Marine Science and Technology, Yokohama National University,National Graduate Institute for Policy Studies, Niigata University, Nagaoka University of
Technology, Joetsu University of Education, University of Toyama, Kanazawa University, Japan Advanced Institute of Science and Technology, University of
Yamanashi , Hamamatsu University School of Medicine, Nagoya University , Nagoya Institute of Technology , Toyohashi University of Technology , Mie
University, Shiga University, Shiga University of Medical Science, Kyoto University, Osaka Kyoiku University, Nara University of Education, Wakayama University,
Okayama University, Hiroshima University, The University of Tokushima, Naruto University of Education, Kagawa University, Ehime University, Kochi
University, Kyushu University, Oita University, University of Miyazaki,Kagoshima University, National Institute of Fitness and Sports in Kanoya, Future University-
Hakodate, Sapporo City University, Aomori University of Health and Welfare, Akita Prefectural University, Fukushima Medical University,Gunma Prefectural College
of Health Sciences, Tokyo Metropolitan University, Yokohama City University, Niigata College of Nursing, Ishikawa Prefectural University, Fukui Prefectural
University, Tsuru University, University of Shizuoka, Aichi Prefectural University, Nagoya City University, Mie Prefectural College of Nursing, The University of Shiga
Prefecture, Kobe City University of Foreign Studies, Kobe City College of Nursing, The University of Shimane, Hiroshima City University, Shimonoseki City
University , Fukuoka Women's University , University of Nagasaki , Prefectural University of Kumamoto , Sapporo Gakuin University , Hokusei Gakuen
University, Hokkaido Institute of Technology, Japanese Red Cross Hokkaido college of Nursing, Sendai University, Tohoku Gakuin University, Ishinomaki Senshu
University, Tohoku University of Art and Design, Iwaki Meisei University, Ryutsu Keizai University, Takasaki University of Health and Welfare, Dokkyo
University, Nippon Institute of Technology,Bunkyo University, Surugadai University, Bunkyo Gakuin University, Mejiro University, Jumonji University,Shukutoku
University, Chiba Institute of Technology, Chiba University of Commerce, Wayo Women's University,International Budo University, Kanda University of International
Studies, Teikyo Heisei University, Seitoku University, Edogawa University, Aoyama Gakuin University, Asia University, Kitasato University, Kyoritsu Women's
University, Kyorin University, Keio University, Kogakuin University, International Christian University, Komazawa University, Jissen Women's University, Sophia
University, Showa Women's University, Shirayuri College, Seikei University, Seijo University, University of the Sacred Heart, St. Luke's College of Nursing, Senshu
University,Taisho University, Daito Bunka University, Chuo University, Teikyo University, Tokai University, Tokyo Keizai University, Tokyo Woman's Christian
University, Tokyo Denki University, Tokyo University of Agriculture, Tokyo University of Science, Toho University, Nihon University, Nippon Medical School, Japan
College of Social Work,Japan Women's College of Physical Education, Nippon Sport Science University, Hosei University, Musashino Art University, Meiji
University, Rikkyo University, The Japanese Red Cross College of Nursing, Kanagawa University,Kanto Gakuin University, Shonan Institute of Technology, Tsurumi
University, Ferris University, Kanagawa Institute of Technology, Toin University of Yokohama, Tokyo Health Care University, Nigata University of Phermacy and
Applied Life Sciences, Niigata University of Health and Welfare, Toyama University of International Studies,Kanazawa Institute of Technology, Kanazawa Medical
University, Hokuriku University, Teikyo University of Science & Technology, Nagano University, Gifu Shotoku Gakuen University, Chubu Gakuin University, Seirei
Christopher University, Fuji Tokoha University, Aichi University, Aichi Gakuin University, Aichi Institute of Technology, Kinjo Gakuin University, Chukyo
University, Chubu University, Nagoya University of Commerce & Business, The NUCB Graduate School, Nanzan University, Nagahama Institute of Bio-Science and
Technology, Kyoto Gakuen University, Kyoto Sangyo University, Kyoto Women's University, Kyoto Tachibana University, Doshisha University,Doshisha Women's
College of Liberal Arts, Hanazono University, Bukkyo University, Ritsumeikan University, Kyoto University of Art and Design, Kyoto Bunkyo University, Osaka
Sangyo University, Osaka University of Commerce,Osaka University of Health and Sport Sciences, Kansai Medical University, Tezukayama Gakuin University, Hannan
University, Osaka University of Economics and Law, Kansai University of Welfare Sciences, Senri Kinran University, Aino University, Ashiya University, Kwansei
Gakuin University, Konan University, Konan Women's University, Kobe Gakuin University, Kobe College, Himeji Dokkyo University, University of Marketing and
Distribution Sciences, Kobe Design University, Hyogo University, Tenri University, Koyasan University, Okayama Shoka University, Notre Dame Seishin
University, Kawasaki University of Medical Welfare, Hiroshima Institute of Technology, Hiroshima Shudo University, The Japanese Red Cross Hiroshima College of
Nursing , Tokyo University of Science, Yamaguchi , Matsuyama University , Kyushu Kyoritsu University , Kyushu Sangyo University , Kyushu Women's
University, Kurume University, Seinan Gakuin University, Nishinippon Institute of Technology, Fukuoka Institute of Technology, Fukuoka Dental College, The
Japanese Red Cross Kyushu International College of Nursing,Nippon Bunri University, Ritsumeikan Asia Pacific University, Okinawa University, Aoyama Gakuin
Women's Junior College, Teikyo University, Kyoritsu Women's University, Kyoto Women's University
10. Redirect Service
External Direct Links for the Researcher
Campus Directories
http://rns.nii.ac.jp/services/redirect?s http://ci.nii.ac.jp/nrid/1000080252831
ource=anyURI&id=http://rns.nii.ac.jp/
nr/1000080252831&target=cinii
11. Name Disambiguation Approach for
Institutional Repositories in Japan
• Problem: How to coordinate local ID (institutional ID) with
global ID?
– Some IRs contain global ID as author ID
– Some IRs contain local ID as author ID
Author Identities in Japan
12. Name Disambiguation Framework for
Federated Search Portal JAIRO
• This project aims at identifying authors in the federated search
portal for Institutional Repositories in Japan which we call JAIRO
(Japanese Institutional Repository Online).
13. Connecting to ORCID
• Some issues …
– Permission
• From the government ? From researchers? From lawyers?
– Level of connection
• Exchange of IDs
• Content: Bibliography, fund records …
– Role partitioning
• Contents in Japanese vs. contents in English
• Domestic researchers vs. International researchers
• Mandatory service vs. Voluntary service