A Hybrid and Catalyst Model Digital Scholarship Center: University of Cincinnati’s Practice 从 “ 服务 ” 到 “ 嵌入 ” 到 “ 团队 ”— 辛辛那提大 学图书馆数字学术中心实践 Co-Directors : James Lee Academic Director Assistant Professor Digital Humanities / Early Modern Literature Department of English / UC Libraries Arlene Johnson Administrative Director 第十四届数字图书馆前沿问题高 Associate Senior Librarian 级研讨班（ ADLS2017 ） (The Digital Humanities Strategist UC Libraries 14th Advanced Digital Library Seminar) Xuemao Wang Fuzhou, China , November, 3- Dean and University 6, 2017 Librarian
Digital Scholarship Center 数字学术中心 A joint trans-disciplinary venture between the McMicken College of Arts & Sciences and the UC Libraries 辛辛那提大学数字学术中心是 McMicken 文理学院与辛辛那提大学图书馆联合成立的跨学科合作中心 Groundwork for deep collaborations between the Center and • academic departments 为进一步与各学院深入合作奠定了基础 The only academic center in the UC libraries 数字学术中心也是 • 辛辛那提图书馆唯一的学术中心 An Academic Center: Learning from Precedents 学术中心：借 • 鉴先例 Existing Model 1: Service Provider 现有模式 1 ：服务提供型 • Existing Model 2: Research Lab 现有模式 2 ：实验室研究型 • Our Hybrid Model: R&D and Catalyst 创新模式：研发部门与 • “ 催化 ”
Digital Scholarship Center: Vision 数字学术中心： 愿景 We are a catalyst for collaborative, trans-disciplinary forms of research and teaching that combines the insights of the humanities with the methods of data science. 作为促进跨学科合作，教学与研究的 “ 催化 ” ，数字 学术中心的特色还在于将人文学科特有的视角与数据科学方法论相融合。 Our hybrid methodologies challenge intellectual paradigms at the boundary between academic disciplines as they are conventionally imagined. 创新混合式方法论挑战了建立在对传统意义上学科间边界认识的 知识体系以及思维模式
Digital Scholarship Center: Mission 数字学术中心： 使命 Current Landscape: 当前形势： Catalyst 催化 DH 2.0: Digital Humanities Digital Scholarship 数字 数字人文 学术 Our Scope: Policy Papers 我们的范围： Cross-Disciplinary 政策文件 Pipeline: 跨学科管道： Translate between disciplines Humanistic Datasets 跨学科式 “ 翻译 ” Expand DH techniques to 人文数据库 “ Operationalize ” Collaborations unconventional datasets 协作 “ 可操作化 ” Matt Jockers: (STEM / Applied Data / Hybrid Methods: Unstructured Machine Learning Archives) Current DH results “ are a and Interpretable Data ringing confirmation of 将 DH 扩展到非常规数据集 Visualization 混合方法：解构化机器学习和数据可视化分析 virtually all our stereotypes ” （ STEM / 应用及科技数据 / 档 Physical Space Matt Jokers: 目前数字人文 案） 物理空间 领域的情境： “ 反复印证了所 Academic Center Interactive Tools to Allow 有的刻板印象 ” 学术中心 Collaborators to Ask Three Axes of Academic Mission: Questions of Data 方便合作者 实现学术使命的三大轴心： 挖掘数据问题的互动工具 R&D: Research Questions 研发部：科研问题 Teaching: Learning Outcomes 教学部：学习成果 Digital Pedagogy across the Service: Reimagining the library / faculty interface 服 Disciplines 跨学科数字教学模 务部：重新设计图书馆 / 教师参与 式
DSC Website Design 辛辛那提大学数字学术中心网站首页设计
Digital Humanities: Shakespeare 数字人文学科的运用 ： 莎士比亚研究
Digital Humanities: Machine Learning on Historical Data 数字人文的运用 ： 机器学习分析历史数据
Twitter Social Network Analysis Twitter 社交网络分析
Twitter Social Network Analysis Twitter 社交网络分析
Elliston Poetry Archive Sonification Elliston 诗歌档案的声音可视化 Alan Liu: The Elliston project is a “ world-class poetry audio archive, ” and can “ alter the dominant understandings of a ‘ digital archive ’ developed for textual materials. ” Alan Liu ： Elliston 项目是一个 “ 世界级的诗歌音频档案 ” ，可以 “ 颠覆对 ‘ 数字档案 ’ 衍生出的文本材料 的主导性理解 ”
Edward Field Elliston (1980) Arizona (1974)
Yehuda Amichai Elliston Arizona
Publ i cati on equal i ty i n conservati on and pl ant geneti cs: The i m pact of neocol oni al i sm i n m odern sci ence ey a , Lee b, c , a , son a , Sanchez a , a , Torres a , Theresa C ul l Jam es Benj am i n M erri tt Robert Tuni Jos é Barrei ro- M egan Phi l pott M ari a M arw a A m m ar a , Robert El am a , A m y K oshof f er d , A rl ene Johnson c , Eri c Tepe a a D epartm entof Bi ol ogi cal Sci ences, U C ; b D epartm entof Engl i sh and C om parati ve Li terature, U C ; c D i gi talH um ani ti es/D i gi tal Schol arshi p C enter , U C ; d U C Li brari es, Sci ence & Engi neeri ng Li brari es O ur study seeks to: • Sci enti f i c progress i s ham pered by the restri cted f l ow of know l edge, potenti al l y due to publ i cati on bi as agai nst econom i cal l y devel opi ng nati ons 1. I nvesti gate w hether there i s a publ i cati on bi as agai nst countri es w i th l ow • The unequal geographi c di stri buti on of research producti vi ty has been econom i c resources and hi gh bi odi versi ty docum ented i n a num ber of sci enti f i c f i el ds, i ncl udi ng m edi ci ne, envi ronm ental sci ence, and physi cs 2. I denti f y potenti al dem ographi c f actors that m ay hel p to expl ai n such di screpanci es • G eographi c bi as i s com pounded i n conservati on, w here countri es w i th hi gh bi odi versi ty tend to have f ew er research resources 3. D escri be broader aspects of i nternati onal col l aborati ons • I s there a publ i cati on bi as agai nst research f rom bi odi verse but resource- poor nati ons? 4. A ssess the com m on geneti c techni ques used i n rel ati on to a country' s econom i c • W e propose to undertake a bi g- data approach to anal yze the publ i shed status l i terature i n pl ant geneti cs over the past 50 years. 5. C haracteri ze how these di f f erent f acets of sci enti f i c research change over ti m e G BI F: G l obal Scopus Bi odi versi ty U si ng Python scri pt to I nf orm ati on I terati on through 175 m i l l i on extract a JSO N f i l e f rom Faci l i ty pl ant observati ons to com pi l e the A PI and export D ataset a di cti onary of uni que speci es rel evant m etadata to a appended w i th countri es of Bi btex- f orm atted f i l e occurrence A PI keyw ords: pl ant* , geneti c* D i cti onary of geneti c Speci es techni ques com pi l ed to Speci es C ountry of O ri gi n i ncl ude com m on G eneti c Techni que used geneti c m ethods i n the Year l i terature A uthor A f f i l i ati on Extracti on D i cti onari es Fundi ng Speci es C ountry of O ri gi n ( G BI F) A pproxi m atel y G eneti c Techni ques 250, 000 publ i cati ons Scopus Extracted Publ i cati on Ti tl e D ata A bstract Year A uthor( s) A uthor( s) A f f i l i ati on Fundi ng Source K eyw ords G raphi cal representati on of authorshi p rel ati onshi p am ong countri es. D em ographi c data pul l ed f rom U N & l i terature: G D P % G D P spendi ng on A ssoci ati on betw een num ber R& D of publ i cati ons and G raphi cal Popul ati on si ze bi odi versi ty m easures: representati on of resul ts Bi odi versi ty Tem poral anal yses of al l Q uanti f y the research usi ng G I S m easures: Peace/ stabi l i ty producti vi ty as a f uncti on of coef f i ci ent M odel patterns of change i n bi odi versi ty I U C N red- l i sted research producti vi ty Anal ysi s C haracteri ze patterns of gl obal l y over ti m e speci es i nternati onal A ssoci ati on betw een speci es col l aborati on country-of-ori gi n and author country-of-ori gi n: V i sual i ze the di sconnect betw een authorshi p and A ssoci ati on betw een num ber speci es range of publ i cati ons and dem ographi c data: Q uanti f y the research producti vi ty as a f uncti on of econom i c devel opm ent
Plant Genetics Publication Networks 植物遗传学出版物可视化网络
Plant Genetics Publication Networks
Plant Genetics Publication Networks 植物遗传学出版物可视化网络
Recommend
More recommend
