|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Coping with drought in Zimbabwe: Survey evidence on responses of rural households to risk 显示文摘 | Kinsey Bill & Burger Kees Gunning Jan Willem | 1998 | World Development1998，26，1： | 1 |
| 2 | Adverse effects of reverse transcriptase inhibitors: mitochondrial toxicity as common pathway显示文摘 | Kees Brinkman Hadewych J.M. ter Hofstede David M. Burger Jan A.M. Smeitink Peter P. Koopmans | 1998 | AIDS1998，，14： | 1 |
| 3 | Making FAIR Easy with FAIR Tools:From Creolization to Convergence显示文摘Since their publication in 2016 we have seen a rapid adoption of the FAIR principles in many scientific disciplines where the inherent value of research data and,therefore,the importance of good data management and data stewardship,is recognized.This has led to many communities asking“What is FAIR?”and“How FAIR are we currently?”,questions which were addressed respectively by a publication revisiting the principles and the emergence of FAIR metrics.However,early adopters of the FAIR principles have already run into the next question:“How can we become(more)FAIR?”This question is more difficult to answer,as the principles do not prescribe any specific standard or implementation.Moreover,there does not yet exist a mature ecosystem of tools,platforms and standards to support human and machine agents to manage,produce,publish and consume FAIR data in a user-friendly and efficient(i.e.,“easy”)way.In this paper we will show,however,that there are already many emerging examples of FAIR tools under development.This paper puts forward the position that we are likely already in a creolization phase where FAIR tools and technologies are merging and combining,before converging in a subsequent phase to solutions that make FAIR feasible in daily practice. | Mark Thompson Kees Burger Rajaram Kaliyaperumal Marco Roos Luiz Olavo Bonino da Silva Santos | 2020 | Data Intelligence2020，2，1： | 1 |
| 4 | FAIR Data Point:A FAIR-Oriented Approach for Metadata Publication显示文摘Metadata,data about other digital objects,play an important role in FAIR with a direct relation to all FAIR principles.In this paper we present and discuss the FAIR Data Point(FDP),a software architecture aiming to define a common approach to publish semantically-rich and machine-actionable metadata according to the FAIR principles.We present the core components and features of the FDP,its approach to metadata provision,the criteria to evaluate whether an application adheres to the FDP specifications and the service to register,index and allow users to search for metadata content of available FDPs. | Luiz Olavo Bonino da Silva Santos Kees Burger Rajaram Kaliyaperumal Mark D.Wilkinson | 2023 | Data Intelligence2023，5，1： | 0 |
| 5 | The FAIR Data Point:Interfaces and Tooling显示文摘While the FAIR Principles do not specify a technical solution for'FAIRness',it was clear from the outset of the FAIR initiative that it would be useful to have commodity software and tooling that would simplify the creation of FAIR-compliant resources.The FAIR Data Point is a metadata repository that follows the DCAT(2)schema,and utilizes the Linked Data Platform to manage the hierarchical metadata layers as LDP Containers.There has been a recent flurry of development activity around the FAIR Data Point that has significantly improved its power and ease-of-use.Here we describe five specific tools—an installer,a loader,two Webbased interfaces,and an indexer-aimed at maximizing the uptake and utility of the FAIR Data Point. | Oussama Mohammed Benhamed Kees Burger Rajaram Kaliyaperumal Luiz Olavo Bonino da Silva Santos Marek Suchánek Jan Slifka Mark D.Wilkinsoni | 2023 | Data Intelligence2023，5，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员