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SYNBIOcHEM Synthetic Biology Research centre, Manchester-A UK foundry for fine and speciality chemicals production

Synthetic and Systems Biotechnology 2016年第4期1卷 271-275页

作者： Le Feuvre RA carbonell P currin A Dunstan M Fellows D Jervis AJ Rattray NJW Robinson cJ Swainston N Vinaixa M Williams A Yan c Barran P Breitling R chen GG Faulon JL goble c Goodacre R Kell DB Micklefield J Scrutton NS Shapira P Takano E Turner NJ Manchester centre for Synthetic Biology of Fine and Speciality chemicals(SYNBIOcHEM) Manchester Institute of BiotechnologyFaculty of Life SciencesUniversity of ManchesterOxford RoadManchesterM139PTUnited Kingdom SYNBIOcHEM Data LeadSchool of Computer ScienceThe University of ManchesterManchesterM139PTUnited Kingdom SYNBIOcHEM Responsible Research and Innovation LeadAlliance Manchester Business SchoolUniversity of ManchesterManchesterM139PTUnited Kingdom

The UK Synthetic Biology Research centre,SYNBIOcHEM,hosted by the Manchester Institute of Biotechnology at the University of Manchester is delivering innovative technology platforms to facilitate the predictable engineering of microbial bio-factories for fine and speciality chemicals *** provide an overview of our foundry activities that are being applied to grand challenge projects to deliver innovation in bio-based chemicals production for industrial biotechnology.

关键词： Synthetic chemicals Manchester

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Exploring the current Practices,costs and Benefits of FAIR Implementation in Pharmaceutical Research and Development:A Qualitative Interview Study

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Data Intelligence 2021年第4期3卷 507-527页

作者： Ebtisam Alharbi Rigina Skeva Nick Juty caroline Jay carole goble School of computer Science University of ManchesterManchesterManchester M139PLUK college of computer and Information Systems Umm Al-Qura UniversityMeccaMakkah 21421Saudi Arabia

The findable,accessible,interoperable,reusable(FAIR)principles for scientific data management and stewardship aim to facilitate data reuse at scale by both humans and *** and development(R&D)in the pharmaceutical industry is becoming increasingly data driven,but managing its data assets according to FAIR principles remains costly and *** date,little scientific evidence exists about how FAIR is currently implemented in practice,what its associated costs and benefits are,and how decisions are made about the retrospective FAIRification of data sets in pharmaceutical R&*** paper reports the results of semi-structured interviews with 14 pharmaceutical professionals who participate in various stages of drug R&D in seven pharmaceutical *** thematic analysis identified three primary themes of the benefits and costs of FAIRification,and the elements that influence the decision-making process for FAIRifying legacy data *** collectively acknowledged the potential contribution of FAIRification to data reusability in diverse research domains and the subsequent potential for *** costs,however,were still considered a barrier by participants,with the need for considerable expenditure in terms of resources,and cultural *** decisions were made about FAIRification was influenced by legal and ethical considerations,management commitment,and data *** findings have significant implications for those in the pharmaceutical R&D industry who are engaged in driving FAIR implementation,and for external parties who seek to better understand existing practices and challenges.

关键词： FAIR FAIRification Retrospective FAIRification Pharmaceutical R&D cost-benefit Decision-making process

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FAIR Principles:Interpretations and Implementation considerations

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Data Intelligence 2020年第1期2卷 10-29,293-302,322页

作者： 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 Leiden University Medical center Leiden2333 ZAThe Netherlands Institute of Data Science Maastricht UniversityUniversiteitssingel 60Maastricht 6229 ERThe Netherlands Department of computer Science The University of ManchesterOxford RoadManchester M139PLUK Oxford e-Research centre Department of Engineering SciencesUniversity of OxfordOxford OX13PJUK School of chemistry Faculty of Engineering and Physical SciencesUniversity of SouthamptonSO171BJUK Amsterdam UMc University of AmsterdamAmsterdam 1000 GGThe Netherlands European Bioinformatics Institute(EMBL-EBI) HinxtonCambridgeCB101SDUK Harvard University CambridgeMassachusetts 02138USA Department of Bioinformatics–BiGcaT NUTRIMMaastricht UniversityMaastricht 6229 ERThe Netherlands conceptual and cognitive Modeling Research Group(cORE) Free University of Bozen-BolzanoBolzano 39100Italy Aalborg University Aalborg DK-9220Denmark Insight centre for Data Analytics National University of Ireland GalwayH91 TK33Ireland centre for Digital Scholarship Leiden University LibrariesLeiden2333 ZAThe Netherlands Department of computer Science Vrije Universiteit AmsterdamDe Boelelaan 11051081 HV AmsterdamThe Netherlands Dutch Techcentre for Life Sciences(DTL) UtrechtThe Netherlands SURF Utrecht 3511 EPThe Netherlands Keith G Jeffery consultants FaringdonUK castor EDc Paasheuvelweg 25Wing 5D1105 BPAmsterdamThe Netherlands San Diego Supercomputer center University of California San DiegoLa JollaCalifornia 92093USA Learning and Research Resources centre(cRAI) Universitat de Barcelona08007 BarcelonaSpain Environment Agency Austria A-1090 ViennaAustria University of Notre Dame 75004 ParisFrance Health Research Board(HRB) Dublin 2DO2 H638Ireland Liacs Institute of Advanced computer Science Leiden University2311 GJ LeidenThe Netherlands czech Technical University in Prague Faculty of Information Technology(FIT CTU)16000 Prague 6Czech Republic GO FAIR International Support&coordination Office(GFIScO) LeidenThe Netherlands Harvard catalys

The FAIR principles have been widely cited,endorsed and adopted by a broad range of stakeholders since their publication in *** intention,the 15 FAIR guiding principles do not dictate specific technological implementations,but provide guidance for improving Findability,Accessibility,Interoperability and Reusability of digital *** has likely contributed to the broad adoption of the FAIR principles,because individual stakeholder communities can implement their own FAIR ***,it has also resulted in inconsistent interpretations that carry the risk of leading to incompatible ***,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)-*** introduce the concept of FAIR implementation considerations to assist accelerated global participation and convergence towards accessible,robust,widespread and consistent FAIR *** 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 ***,we provide interpretations and implementation considerations(choices and challenges)for each FAIR principle.

关键词： FAIR guiding principles FAIR implementation FAIR convergence FAIR communities choices and challenges

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Pelvic region bone density,soft tissue mass,and injury frequency in female professional ballet dancers and soccer athletes

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Sports Medicine and Health Science 2021年第3期3卷 157-164页

作者： Hamed Vahedi carter M.Taft Joshua R.Daum Sherif Dabash Patrick c.Mcculloch Bradley S.Lambert Department of Orthopedics&Sports Medicine Houston Methodist HospitalHoustonTXUnited States Department of Kinesiology Rice UniversityHoustonTXUnited States

We recently observed a high prevalence of low pelvic bone mineral density(BMD)in female professional ballet *** this population is susceptible to musculoskeletal overuse injuries,we aimed to determine which regions of the pelvis may be at greatest risk compared to general population females(GENPOP)as well as professional female soccer players(SOccER,a comparison to other elite athletes regularly subjected to high degrees of loading).Three groups of age-matched females[(GENPOP;n=38,27±1yrs),(BALLET;single com-pany,n=36,26±3yrs),(SOccER;single NWSL■club,n=34,25±1yrs)]consented to have their BMD and body composition assessed(DEXA,GE■).In addition to soft tissue and total and regional BMD analyses,a segmental analysis of the pelvis was performed to determine site-specific BMD for the iliac fossa,iliac fossa/iliac crest/ilium combined,pubic bone,ischium,and sacrum.A mixed-model ANOVA followed by a Tukey's post-hoc test was used to compare the groups(Type-I error;α=0.05).The BALLET group had lower pelvic BMD for all measures(Avg.%Diff.=15%-27%,pcompared to the SOccER group and for the ischium(Avg.%Diff.=8%;p=0.007)and sacrum(Avg.%Diff.=7%;p=0.028)compared to the GENPOP *** BALLET group had lower lean mass for all measures compared to the other groups(Avg.%Diff.=12%-18%;pced pelvic region soft tissue and site-specific BMD not previously detected using standard DEXA *** findings highlight which pelvic regions may benefit from preventative strength training and/or nutritional interventions.

关键词： Ballet Bone Bone density Athlete Female athlete

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