Zobrazeno 1 - 10
of 31
pro vyhledávání: '"FAIR Guidelines"'
Autor:
Yi Lin, Putu Hadi Purnama Jati, Aliya Aktau, Mariem Ghardallou, Sara Nodehi, Mirjam van Reisen
Publikováno v:
Data Intelligence, 4(4), 747-770. MIT Press
This study provides an analysis of the implementation of FAIR Guidelines in selected non-Western geographies. The analysis was based on a systematic literature review to determine if the findability, accessibility, interoperability, and reusability o
Publikováno v:
Data Intelligence, 4(4), 867-881. MIT Press
This article assesses the difference between the concepts of ‘open data’ and ‘FAIR data’ in data management. FAIR data is understood as data that complies with the FAIR Guidelines—data that is Findable, Accessible, Interoperable and Reusabl
Autor:
Plug, Ruduan, Liang, Yan, Aktau, Aliya, Basajja, Mariam, Oladipo, Francisca, van Reisen, Mirjam
Publikováno v:
Data Intelligence, 4(4), 698-723. MIT Press
The field of health data management poses unique challenges in relation to data ownership, the privacy of data subjects, and the reusability of data. The FAIR Guidelines have been developed to address these challenges. The Virus Outbreak Data Network
Autor:
Putu Hadi Purnama Jati, Mirjam van Reisen, Erik Flikkenschild, Fransisca Oladipo, Bert Meerman, Ruduan Plug, Sara Nodehi
Publikováno v:
Data Intelligence, 4(4), 938-954. MIT Press
The Virus Outbreak Data Network (VODAN)-Africa aims to contribute to the publication of Findable Accessible, Interoperable, and Reusable (FAIR) health data under well-defined access conditions. The next step in the VODAN-Africa architecture is to loc
Autor:
Getu Tadele Taye, Samson Yohannes Amare, Tesfit Gebremeskel G., Araya Abrha Medhanyie, Wondimu Ayele, Tigist Habtamu, Mirjam van Reisen
Publikováno v:
Data Intelligence, 4(4), 813-826. MIT Press
This paper investigates whether or not there is a policy window for making health data ‘Findable’, ‘Accessible’ (under well-defined conditions), ‘Interoperable’ and ‘Reusable’ (FAIR) in Ethiopia. The question is answered by studying t
Autor:
Stockhause, Martina, Sitz, Lina, Pascoe, Charlotte, Pirani, Anna, Anderson, Emily, Cammarano, Diego, MacRae, Molly
Materials on the IPCC FAIR Guidelines implementation and lessons learned provided for the EGU Open Science and Data Help Desk 2023.
Materials consist of a one-pager, a video recording of a demonstration and the script of the recording.
Materials consist of a one-pager, a video recording of a demonstration and the script of the recording.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5f674ddc8bb11ba995e1c81f3c9c7ce
Autor:
Stockhause, Martina
The presentation contains the use case from the IPCC FAIR Guidelines implemented into AR6 WGI contributed to the RDA WG Complex Citation and a spreadsheet containing a prototype reliquary for this use case.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a5a0b9266d2741b17cb154ceefc9d58
Autor:
Ammar Ammar, Serena Bonaretti, Laurent Winckers, Joris Quik, Martine Bakker, Dieter Maier, Iseult Lynch, Jeaphianne van Rijn, Egon Willighagen
Publikováno v:
Nanomaterials, Vol 10, Iss 10, p 2068 (2020)
Data sharing and reuse are crucial to enhance scientific progress and maximize return of investments in science. Although attitudes are increasingly favorable, data reuse remains difficult due to lack of infrastructures, standards, and policies. The
Externí odkaz:
https://doaj.org/article/8bfb12912ba04a1e90e4243552603278
Autor:
Mariam Basajja, Marek Suchanek, Getu Tadele Taye, Samson Yohannes Amare, Mutwalibi Nambobi, Sakinat Folorunso, Ruduan Plug, Francisca Oladipo, Mirjam van Reisen
Publikováno v:
Data Intelligence, 4(4), 917-937. MIT Press
Rapid and effective data sharing is necessary to control disease outbreaks, such as the current coronavirus pandemic. Despite the existence of data sharing agreements, data silos, lack of interoperable data infrastructures, and different institutiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::253e7f4d0b6e690ee6ccdbdfff0cfb72
https://research.tilburguniversity.edu/en/publications/13745acb-2418-44ba-9e3a-38f7b48f1a86
https://research.tilburguniversity.edu/en/publications/13745acb-2418-44ba-9e3a-38f7b48f1a86
Autor:
Mirjam Van Reisen, Francisca Onaolapo Oladipo, Mouhamed Mpezamihigo, Ruduan Plug, Mariam Basajja, Aliya Aktau, Putu Hadi Purnama Jati, Reginald Nalugala, Sakinat Folorunso, Samson Yohannes Amare, Ibrahim Abdulahi, Oluwole Olumuyiwa Afolabi, Ezra Mwesigwa, Getu Tadele Taye, Abdulahi Kawu, Mariem Ghardallou, Yan Liang, Obinna Osigwe, Araya Abrha Medhanyie, Munyaradzi Mawere
Publikováno v:
Data Intelligence, 4(4), 673-697. MIT Press
The incompleteness of patient health data is a threat to the management of COVID-19 in Africa and globally. This has become particularly clear with the recent emergence of new variants of concern. The Virus Outbreak Data Network (VODAN)-Africa has st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c557edcec9407a3a5c8e824eb7a2ebf7
https://research.tilburguniversity.edu/en/publications/7989cc7f-1c88-4ed2-8103-073f4948d22f
https://research.tilburguniversity.edu/en/publications/7989cc7f-1c88-4ed2-8103-073f4948d22f