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| 1 | FAIR Principles:Interpretations and Implementation Considerations显示文摘The FAIR principles have been widely cited,endorsed and adopted by a broad range of stakeholders since their publication in 2016.By intention,the 15 FAIR guiding principles do not dictate specific technological implementations,but provide guidance for improving Findability,Accessibility,Interoperability and Reusability of digital resources.This has likely contributed to the broad adoption of the FAIR principles,because individual stakeholder communities can implement their own FAIR solutions.However,it has also resulted in inconsistent interpretations that carry the risk of leading to incompatible implementations.Thus,while the FAIR principles are formulated on a high level and may be interpreted and implemented in different ways,for true interoperability we need to support convergence in implementation choices that are widely accessible and(re)-usable.We introduce the concept of FAIR implementation considerations to assist accelerated global participation and convergence towards accessible,robust,widespread and consistent FAIR implementations.Any self-identified stakeholder community may either choose to reuse solutions from existing implementations,or when they spot a gap,accept the challenge to create the needed solution,which,ideally,can be used again by other communities in the future.Here,we provide interpretations and implementation considerations(choices and challenges)for each FAIR principle. | Annika Jacobsen Ricardo de Miranda Azevedo Nick Juty Dominique Batista Simon Coles Ronald Cornet Melanie Courtot Merce Crosas Michel Dumontier Chris T.Evelo Carole Goble Giancarlo Guizzardi Karsten Kryger Hansen Ali Hasnain Kristina Hettne Jaap Heringa Rob W.W.Hooft Melanie Imming Keith G.Jeffery Rajaram Kaliyaperumal Martijn GKersloot Christine R.Kirkpatrick Tobias Kuhn Ignasi Labastida Barbara Magagna PeterMcQuilton Natalie Meyers Annalisa Montesanti Mirjam van Reisen Philippe Rocca-Serra Robert Pergl Susanna-Assunta Sansone Luiz Olavo Bonino da Silva Santos Juliane Schneider George Strawn Mark Thompson Andra Waagmeester Tobias Weigel Mark D.Wilkinson Egon L.Willighagen Peter Wittenburg Marco Roos Barend Mons Erik Schultes | 2020 | Data Intelligence2020，2，1： | 26 |
| 2 | The Dynamic Pollen Tube Cytoskeleton: Live Cell Studies Using Actin-Binding and Microtubule- Binding Reporter Proteins显示文摘花粉试管在雌蕊以内伸长为授精把精子房间搬运到胚胎囊。生长专门在试管顶发生,显示花粉试管延伸一个很戏剧的极的房间生长过程。一个特点花粉试管特征它的细胞骨架,它精心地包括被组织并且动态肌动朊微细丝和微导管。花粉试管生长依赖于肌动朊细胞骨架;它的组织和规定被各种各样的途径广泛地检验了,包括荧光灯在实时房间标记肌动朊绑定蛋白质的蛋白质学习。用以前描述的 GFP-NtADF1 和 GFP-LlADF1,并且新肌动朊记者蛋白质 NtPLIM2b-GFP,我们重申占优势的肌动朊在伸长组织烟草和百合花粉试管,这长,沿着花粉试管胫的流的肌动朊电报,和包括更短的肌动朊电报的接近顶点的结构。肌动朊微细丝的接近顶点的收集经历动态变化,产生从 basket-shaped,的结构的外观或塑造漏斗,对一枚微妙的戒指像网孔。NtPLIM2b-GFP 为 Rho GTPases 与一个 guanine 核苷酸交换因素在联合被使用, AtROP-GEF1,说明这些肌动朊记者蛋白质的使用探索在极的细胞生长过程和它的肌动朊细胞骨架之间的连接。与肌动朊细胞骨架相反,微导管看起来不在在被子植物花粉试管支持极的房间生长过程起一个直接作用。从 Arabidopsis AtEB1 基于微导管结束绑定蛋白质使用微导管记者蛋白质, GFP-AtEB1,我们证明广泛的微导管在伸长联网改变动力学的度的花粉试管显示器。这些记者蛋白质提供万用的工具探索在极的花粉试管生长过程的主要结构、发信号的部件之间的功能的连接。 | Alice Y. Cheung Qiao-hong Duan Silvia Santos Costa Barend H.J. de Graaf Veronica S. DiStilio Jose Feijo Hen-Ming Wu | 2008 | Molecular Plant2008，1，4： | 10 |
| 3 | FAIR Science for Social Machines: Let’s Share Metadata Knowlets in the Internet of FAIR Data and Services显示文摘In a world awash with fragmented data and tools,the notion of Open Science has been gaining a lot of momentum,but simultaneously,it caused a great deal of anxiety.Some of the anxiety may be related to crumbling kingdoms,but there are also very legitimate concerns,especially about the relative role of machines and algorithms as compared to humans and the combination of both(i.e.,social machines).There are also grave concerns about the connotations of the term“open”,but also regarding the unwanted side effects as well as the scalability of the approaches advocated by early adopters of new methodological developments.Many of these concerns are associated with mind-machine interaction and the critical role that computers are now playing in our day to day scientific practice.Here we address a number of these concerns and provide some possible solutions.FAIR(machine-actionable)data and services are obviously at the core of Open Science(or rather FAIR science).The scalable and transparent routing of data,tools and compute(to run the tools on)is a key central feature of the envisioned Internet of FAIR Data and Services(IFDS).Both the European Commission in its Declaration on the European Open Science Cloud,the G7,and the USA data commons have identified the need to ensure a solid and sustainable infrastructure for Open Science.Here we first define the term FAIR science as opposed to Open Science.In FAIR science,data and the associated tools are all Findable,Accessible under well defined conditions,Interoperable and Reusable,but not necessarily“open”;without restrictions and certainly not always“gratis”.The ambiguous term“open”has already caused considerable confusion and also opt-out reactions from researchers and other data-intensive professionals who cannot make their data open for very good reasons,such as patient privacy or national security.Although Open Science is a definition for a way of working rather than explicitly requesting for all data to be available in full Open Access, the connotation of openness of the data involved in Open Science is very strong. In FAIR science, data and the associated services to run all processes in the data stewardship cycle from design of experiment to capture to curation, processing, linking and analytics all have minimally FAIR metadata, which specify the conditions under which the actual underlying research objects are reusable, first for machines and then also for humans. This effectively means that-properly conducted- Open Science is part of FAIR science. However, FAIR science can also be done with partly closed, sensitive and proprietary data. As has been emphasized before, FAIR is not identical to “open”. In FAIR/Open Science, data should be as open as possible and as closed as necessary. Where data are generated using public funding, the default will usually be that for the FAIR data resulting from the study the accessibility will be as high as possible, and that more restrictive access and licensing policies on these data will have to be explicitly justified and described. In all cases, however, even if the reuse is restricted, data and related services should be findable for their major uses, machines, which will make them also much better findable for human users. With a tendency to make good data stewardship the norm, a very significant new market for distributed data analytics and learning is opening and a plethora of tools and reusable data objects are being developed and released. These all need FAIR metadata to be routed to each other and to be effective. | Barend Mons | 2019 | Data Intelligence2019，1，1： | 8 |
| 4 | A Generic Workflow for the Data FAIRification Process显示文摘The FAIR guiding principles aim to enhance the Findability,Accessibility,Interoperability and Reusability of digital resources such as data,for both humans and machines.The process of making data FAIR(“FAIRification”)can be described in multiple steps.In this paper,we describe a generic step-by-step FAIRification workflow to be performed in a multidisciplinary team guided by FAIR data stewards.The FAIRification workflow should be applicable to any type of data and has been developed and used for“Bring Your Own Data”(BYOD)workshops,as well as for the FAIRification of e.g.,rare diseases resources.The steps are:1)identify the FAIRification objective,2)analyze data,3)analyze metadata,4)define semantic model for data(4a)and metadata(4b),5)make data(5a)and metadata(5b)linkable,6)host FAIR data,and 7)assess FAIR data.For each step we describe how the data are processed,what expertise is required,which procedures and tools can be used,and which FAIR principles they relate to. | Annika Jacobsen Rajaram Kaliyaperumal Luiz Olavo Bonino da Silva Santos Barend Mons Erik Schultes Marco Roos Mark Thompson | 2020 | Data Intelligence2020，2，1： | 5 |
| 5 | On tolerability and safety of a maintenance treatment with 6-thioguanine in azathioprineor 6-mercaptopurine intolerant IBD patients显示文摘AIM: To determine the tolerability and safety profile of a low-dose maintenance therapy with 6-TG in azathioprine (AZA) or 6-mercaptopurine (6-MP) intolerant inflammatory bowel disease (IBD) patients over a treatment period of at least 1 year.METHODS: Database analysis.RESULTS: Twenty out of ninety-five (21%) patients discontinued 6-TG (mean dose 24.6 mg; mean 6-TGN level 540 pmol/8×108 RBC) within 1 year. Reasons for discontinuation were GI complaints (31%), malaise (15%)and hepatotoxicity (15%). Hematological events occurred in three patients, one discontinued treatment. In the 6-TG-tolerant group, 9% (7/75) could be classified as hepatotoxicity. An abdominal ultrasound was performed in 54% of patients, one patient had splenomegaly.CONCLUSION: The majority of AZA or 6-MP-intolerant IBD patients (79%) is able to tolerate maintenance treatment with 6-TG (dosages between 0.3 and 0.4 mg/kg per d). 6-TG may still be considered as an escape maintenance immunosuppressant in this difficult to treat group of patients, taking into account potential toxicity and efficacy of other alternatives. The recently reported hepatotoxicity is worrisome and 6-TG should therefore be administered only in prospective trials. | Nanne KH de Boer Luc JJ Derijks Lennard PL Gilissen Daniel W Hommes Leopold GJB Engels Sybrand Y de Boer Gijsbertus den Hartog Piet M Hooymans Anja BU M(?)kelburg Barend D Westerveld Anton HJ Naber Chris JJ Mulder Dirk J de Jong | 2005 | World Journal of Gastroenterology2005，11，35： | 4 |
| 6 | Towards the Tipping Point for FAIR Implementation显示文摘This article explores the global implementation of the FAIR Guiding Principles for scientific management and data stewardship,which provide that data should be findable,accessible,interoperable and reusable.The implementation of these principles is designed to lead to the stewardship of data as FAIR digital objects and the establishment of the Internet of FAIR Data and Services(IFDS).If implementation reaches a tipping point,IFDS has the potential to revolutionize how data is managed by making machine and human readable data discoverable for reuse.Accordingly,this article examines the expansion of the implementation of FAIR Guiding Principles,especially how and in which geographies(locations)and areas(topic domains)implementation is taking place.A literature review of academic articles published between 2016 and 2019 on the use of FAIR Guiding Principles is presented.The investigation also includes an analysis of the domains in the IFDS Implementation Networks(INs).Its uptake has been mainly in the Western hemisphere.The investigation found that implementation of FAIR Guiding Principles has taken firm hold in the domain of bio and natural sciences.To achieve a tipping point for FAIR implementation,it is now time to ensure the inclusion of non-European ascendants and of other scientific domains.Apart from equal opportunity and genuine global partnership issues,a permanent European bias poses challenges with regard to the representativeness and validity of data and could limit the potential of IFDS to reach across continental boundaries.The article concludes that,despite efforts to be inclusive,acceptance of the FAIR Guiding Principles and IFDS in different scientific communities is limited and there is a need to act now to prevent dampening of the momentum in the development and implementation of the IFDS.It is further concluded that policy entrepreneurs and the GO FAIR INs may contribute to making the FAIR Guiding Principles more flexible in including different research epistemologies,especially through its GO CHANGE pillar. | Mirjam van Reisen Mia Stokmans Mariam Basajja Antony Otieno Ong’ayo Christine Kirkpatrick Barend Mons | 2020 | Data Intelligence2020，2，1： | 3 |
| 7 | The FAIR Principles:First Generation Implementation Choices and Challenges显示文摘“FAIR enough”?...A question asked on a daily basis in the rapidly evolving field of open science and the underpinning data stewardship profession.After the publication of the FAIR principles in 2016,they have sparked theoretical debates,but some communities have already begun to implement FAIR-guided data and services.No-one really argues against the idea that data,as well as the accompanying workflows and services should be findable,accessible under well-defined conditions,interoperable without data munging,and thus optimally reusable.Being FAIR is not a goal in itself;FAIR Data and Services are needed to enable data intensive research and innovation and(thus)have to be“AI-ready”(=future proof for machines to optimally assist us).However,the fact that science and innovation becomes increasingly“machine-assisted”and hence the central role of machines,is still overlooked in some cases when people claim to implement FAIR. | Barend Mons Erik Schultes Fenghong Liu Annika Jacobsen | 2020 | Data Intelligence2020，2，1： | 2 |
| 8 | Respiratory syncytial virus, pneumonia virus of mice, and influenza A virus differently affect respiratory allergy in mice 显示文摘 | Barends M de Rond LG Dormans J | 2004 | Clin Exp Allergy2004，34，3： | 1 |
| 9 | Applying Competitive Intelligence in the Public Sector 显示文摘 | Barend van de Kraats | 2009 | Competitive Intelligence Magazine2009，12，2： | 1 |
| 10 | Timing of infection and prior immunization with respiratory syncytial virus (RSV) in RSVenhanced allergic inflammation显示文摘 | Barends M van Oosten M de Rond GH | 2004 | Infect Dis2004，189，： | 1 |
| 11 | Risk analysis of analytical vali- dations by probabilistic modification of FMEA显示文摘 | BARENDS D M OLDENHOF M T VREDEN- BREGT M J | 2012 | Journal of Pharmaceutical and Biomedical Analy- sis2012，6465，： | 1 |
| 12 | Student Transition to Upper Secondary Vocational and Technical Education (VTE) in Lebanon: from Stigma to Success显示文摘 | Vlaardingerbroek Barend and Yasmin Hachem E1-Masri | 2008 | Journal of Vocational Education&Training2008，60，1： | 1 |
| 13 | Effect of lack of Inter- 1 eukin-4, Interleu-kin-12, Interleukin-18, or the Interferongamma receptor on virus replication,eytokine response, and lung pathology during respiratory syncytial virus infection in mice显示文摘 | Boelen A Kwakkel J Barends M | 2002 | J Med Virol2002，66，： | 1 |
| 14 | Breaking of scored tablets: a review显示文摘 | VAN SANTEN E BARENDS DM FRIJLINK HW | 2002 | Eur J Pharm Biopharm2002，53，2： | 1 |
| 15 | The use of BD- DCS in classifying the permeability of marketed drugs显示文摘 | BENET LZ AMIDON GL BARENDS DM | 2008 | Pharm Res2008，25，3： | 1 |
| 16 | The sequence and crystal structure of the a-amino acid ester hydrolase from Xanthomonas citri define a new family of 13-lactam antibiotic acylases显示文摘 | Barends TRM Polderman-Tijmes JJ Jekel PA | 2003 | The Journal of Biological Chemistry2003，278，23： | 1 |
| 17 | Equivalence testing of salbutamol dry powder inhalers: in vitro impaction results versus in vivo efficacy显示文摘 | M Weda P Zanen A.H de Boer D Gjaltema A Ajaoud D.M Barends H.W Frijlink | 2002 | International Journal of Pharmaceutics2002，，1： | 1 |
| 18 | Word sense disambiguation in the biomedical domain:an overview显示文摘 | Martijn J Jan A Barend M | 2005 | Journal of Computational Biology2005，12，5： | 1 |
| 19 | Analysis of body water compartments inrelation to tissue depletion in clinically stable patients with chronic obstructive pulmonary disease显示文摘 | Barends E M Schol A M W J Lichtenbeh WDW | 1997 | Am J Chn Nutr1997，65，： | 1 |
| 20 | Structure and mech-anistic implications of a tryptophan synthase quinonoid inter-mediate显示文摘 | Barends T R M Domratcheva T Kulik V | | 0，，07： | 1 |
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