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This unique textbook intersects traditional library science with data science principles that readers will find useful in implementing or improving data services within their libraries. Data Science for Librarians introduces data science to students and practitioners in library services. Writing for academic, public, and school library managers; library science students; and library and information science educators, authors Yunfei Du and Hammad Rauf Khan provide a thorough overview of conceptual and practical tools for data librarian practice. Partially due to how quickly data science evolves, libraries have yet to recognize core competencies and skills required to perform the job duties of a data librarian. As society transitions from the information age into the era of big data, librarians and information professionals require new knowledge and skills to stay current and take on new job roles, such as data librarianship. Such skills as data curation, research data management, statistical analysis, business analytics, visualization, smart city data, and learning analytics are relevant in library services today and will become increasingly so in the near future. This text serves as a tool for library and information science students and educators working on data science curriculum design.
Big data --- Data curation in libraries --- Data services librarians --- Database management in libraries --- Research --- Database management in libraries. --- Data curation in libraries. --- Data services librarians. --- Big data. --- Data processing --- Management.
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"Here's what you need to know to establish your library's place in the new collaborative research arena by adapting existing library services and practices as well as adding new support services"-- Higher education institutions in the United States and across the globe, are realizing the importance of enabling internal and external collaborative work, e.g., interdisciplinary research and community partnerships. In recent years, researchers have documented the benefits of organizational collaboration for research including greater efficiency, effectiveness, and enhanced research reputation. In addition, accreditors, foundations, business, and government agencies have been espousing the value of collaboration for knowledge creation and research and improved organizational functioning. As a result of both the external pressures and the known benefits, many forms of internal and external research collaborations have begun to emerge in higher education. At the heart of this change, academic libraries, who have long been models for collaborative work, are increasingly participating in the research process by providing a widening range of research services beyond traditional reference services. Innovative library services, in areas such as bibliometric analysis, research data management, and data repositories, are evolving in response to changes in education funding and policies. These funding and policy changes have also coincided…
Academic libraries --- Liaison librarians --- Research --- Data curation in libraries. --- Relations with faculty and curriculum. --- Reference services. --- Professional relationships. --- Data processing --- Management.
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In the last decade, data science has generated new fields of study and transformed existing disciplines. As data science reshapes academia, how can libraries and librarians engage with this rapidly evolving, dynamic form of research? Can libraries leverage their existing strengths in information management, instruction, and research support to advance data science?
Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction brings together an international group of librarians and faculty to consider the opportunities afforded by data science for research libraries. Using practical examples, each chapter focuses on data science instruction, reproducible research, establishing data science services and key data science partnerships.
This book will be invaluable to library and information professionals interested in building or expanding data science services. It is a practical, useful tool for researchers, students, and instructors interested in implementing models for data science service that build community and advance the discipline.
Database management in libraries. --- Data curation in libraries. --- Data services librarians. --- Data librarians --- Librarians --- Public services (Libraries) --- Research --- Big data. --- Data processing. --- Data sets --- Data sets, Large --- Large data sets --- Electronic data processing in research
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Data Management will guide readers through data management basics and best practices following through the data lifecycle. Guidance for starting and growing a data management service includes suggestions for assessment. Specifics about how to use the reference interview to help with data management, writing data management plans for grants, and finding collaborators are covered in depth. Specialty areas such as teaching data management and data reuse are also included.
Information systems --- Library automation --- Library management --- Database management in libraries --- Data curation in libraries --- Data libraries --- Research --- Data processing --- Management --- Bases de données --- Curation de contenu --- Banques de données --- Recherche --- Management. --- Gestion --- Dans les bibliothèques --- Informatique --- Bases de données --- Banques de données --- Dans les bibliothèques --- Data centers --- bibliotheken --- archivering --- onderzoeksondersteuning --- Science --- Science research --- Scientific research --- Information services --- Learning and scholarship --- Methodology --- Research teams --- Datacenters --- Computer service industry --- Public services (Libraries) --- Data processing&delete& --- Database management in libraries. --- Data curation in libraries. --- Data libraries - Management --- Research - Data processing - Management
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Outside back cover : Practical Data Science for Information Professionals provides an accessible introduction to a potentially complex field, providing readers with an overview of data science and a framework for its application. It provides detailed examples and analysis on real data sets to explore the basics of the subject in three principle areas: clustering and social network analysis; predictions and forecasts; and text analysis and mining. As well as highlighting a wealth of user-friendly data science tools, the book also includes some example code in two of the most popular programming languages (R and Python) to demonstrate the ease with which the information professional can move beyond the graphical user interface and achieve significant analysis with just a few lines of code.After reading, readers will understand: the growing importance of data science; the role of the information professional in data science; some of the most important tools and methods that information professionals can use.Bringing together the growing importance of data science and the increasing role of information professionals in the management and use of data, Practical Data Science for Information Professionals will provide a practical introduction to the topic specifically designed for the information community. It will appeal to librarians and information professionals all around the world, from large academic libraries to small research libraries. By focusing on the application of open source software, it aims to reduce barriers for readers to use the lessons learned within.
Exploration de données. --- Sciences de l'information. --- Data mining. --- Information science. --- Database management in libraries. --- Data curation in libraries. --- Data services librarians. --- Research --- Data processing. --- Library research --- Information retrieval --- Library automation --- Information systems --- Data Mining --- Information Science --- Science --- Science research --- Scientific research --- Information services --- Learning and scholarship --- Methodology --- Research teams --- Data librarians --- Librarians --- Public services (Libraries) --- Data processing --- Management.
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The Data Librarian's Handbook covers a large amount of interesting terrain in thoughtful and accessible ways. It is both essential for any information professional interested in data and their management, and is also indicative of the increasing - and increasingly varied - role that data and data management play in libraries and more broadly across academia.
Data curation --- Data curation in libraries --- Data libraries --- Database management --- Data Curation --- Libraries --- Data Collection --- Data Collection Methods --- Dual Data Collection --- Collection Method, Data --- Collection Methods, Data --- Collection, Data --- Collection, Dual Data --- Data Collection Method --- Method, Data Collection --- Methods, Data Collection --- Medical History Taking --- Empirical Research --- Library --- Information Services --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Datacenters --- Computer service industry --- Public services (Libraries) --- Data curation services --- Data services (Data curation) --- Digital curation --- Services, Data curation --- Curatorship --- Data Annotation --- Data Archiving --- Annotation, Data --- Archiving, Data --- Curation, Data --- Data curation. --- Data curation in libraries. --- Data libraries. --- Database management. --- Data centers. --- Curation de contenu --- Banques de données --- Bases de données --- Gestion --- Library management --- Library automation --- Information systems --- Data cuation.
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"Penser données" ? Pourquoi et comment ? Tel est le défi, le nouveau paradigme, qui s'impose depuis trois décennies aux professionnels de l'information et des bibliothèques, et au-delà à l’ensemble de la société numérique et du marché du travail. Étayé par un propos clair, structuré et pédagogique, cet ouvrage de référence, très attendu par la profession, nous livre une vision panoramique synthétique aussi complète qu’accessible des enjeux de la donnée dans les organisations : bibliothèques dans la cité ou dans l’université. Préfacé par Emmanuelle Bermès, écrit par Véronique Mesguich, experte des enjeux de l’information et des stratégies numériques, ce vade-mecum permettra aux filières de l’information et du numérique, aux étudiants en préparation de concours comme aux tutelles de l’enseignement supérieur et de la recherche et des collectivités territoriales qui portent les politiques de gestion de la donnée, d’acquérir les indispensables codes, les compétences de base et les méthodes d’appropriation pour appréhender pas à pas et avec confiance le vaste monde des données. Avec l’objectif d’aborder l’ensemble des enjeux professionnels, de la transition bibliographique, du web sémantique, des données d’usage, de l’open data et l’open science, des données et métadonnées de la recherche, l’ambition de l’ouvrage est avant tout d’éclairer chaque face du monde des données, des technologies mobilisées aux politiques publiques, des législations en vigueur aux acteurs en présence et aux organisations pilotes, pour se conclure sur une cartographie des métiers et des compétences, sans jamais se départir d’un esprit critique sur les biais, les limites et les risques éthiques de la gouvernance par les données.
Bibliothèques et Internet --- Informatique documentaire --- Gouvernance des données --- Web sémantique --- Web 2.0 --- Modélisation des données (informatique) --- Gestion des données (systèmes d'information) --- Métadonnées --- Analyse des données --- Web usage mining --- Données ouvertes --- Données de la recherche --- Données massives --- Référentiels (bases de données) --- Data curation in libraries. --- Libraries --- Library metadata. --- Information storage and retrieval systems --- Libraries and the Internet. --- Data processing. --- Libraries. --- Automation. --- Bibliothèques et Internet. --- Informatique documentaire. --- Gouvernance des données. --- Web sémantique. --- Web 2.0. --- Métadonnées. --- Analyse des données. --- Web usage mining. --- Données ouvertes. --- Données de la recherche. --- Données massives.
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"The report profiles the data curation and data management services of six major university libraries -- The University of Virginia Health Sciences, the University of Texas Austin, the Georgia Institute of Technology, Indiana University Bloomington, the University of Iowa and the University of Edinburgh. Each profile is based on detailed interviews with major players in the data curation/data management efforts of those universities." -- rear cover.
Data curation in libraries --- Public services (Libraries) --- Libraries --- Libraries and readers --- Library public services --- Library services to users --- Library users --- Public libraries --- Library science --- Public services --- Services to users --- Services for --- United States. --- ABŞ --- ABSh --- Ameerika Ühendriigid --- America (Republic) --- Amerika Birlăshmish Shtatlary --- Amerika Birlăşmi Ştatları --- Amerika Birlăşmiş Ştatları --- Amerika ka Kelenyalen Jamanaw --- Amerika Qūrama Shtattary --- Amerika Qŭshma Shtatlari --- Amerika Qushma Shtattary --- Amerika (Republic) --- Amerikai Egyesült Államok --- Amerikanʹ Veĭtʹsėndi͡avks Shtattnė --- Amerikări Pĕrleshu̇llĕ Shtatsem --- Amerikas Forenede Stater --- Amerikayi Miatsʻyal Nahangner --- Ameriketako Estatu Batuak --- Amirika Carékat --- AQSh --- Ar. ha-B. --- Arhab --- Artsot ha-Berit --- Artzois Ha'bris --- Bí-kok --- Ē.P.A. --- É.-U. --- EE.UU. --- Egyesült Államok --- ĒPA --- Estados Unidos --- Estados Unidos da América do Norte --- Estados Unidos de América --- Estaos Xuníos --- Estaos Xuníos d'América --- Estatos Unitos --- Estatos Unitos d'America --- Estats Units d'Amèrica --- Ètats-Unis d'Amèrica --- États-Unis d'Amérique --- ÉU --- Fareyniḳṭe Shṭaṭn --- Feriene Steaten --- Feriene Steaten fan Amearika --- Forente stater --- FS --- Hēnomenai Politeiai Amerikēs --- Hēnōmenes Politeies tēs Amerikēs --- Hiwsisayin Amerikayi Miatsʻeal Tērutʻiwnkʻ --- Istadus Unidus --- Jungtinės Amerikos valstybės --- Mei guo --- Mei-kuo --- Meiguo --- Mî-koet --- Miatsʻyal Nahangner --- Miguk --- Na Stàitean Aonaichte --- NSA --- S.U.A. --- SAD --- Saharat ʻAmērikā --- SASht --- Severo-Amerikanskie Shtaty --- Severo-Amerikanskie Soedinennye Shtaty --- Si͡evero-Amerikanskīe Soedinennye Shtaty --- Sjedinjene Američke Države --- Soedinennye Shtaty Ameriki --- Soedinennye Shtaty Severnoĭ Ameriki --- Soedinennye Shtaty Si͡evernoĭ Ameriki --- Spojené obce severoamerické --- Spojené staty americké --- SShA --- Stadoù-Unanet Amerika --- Stáit Aontaithe Mheiriceá --- Stany Zjednoczone --- Stati Uniti --- Stati Uniti d'America --- Stâts Unîts --- Stâts Unîts di Americhe --- Steatyn Unnaneysit --- Steatyn Unnaneysit America --- SUA --- Sŭedineni amerikanski shtati --- Sŭedinenite shtati --- Tetã peteĩ reko Amérikagua --- U.S. --- U.S.A. --- United States of America --- Unol Daleithiau --- Unol Daleithiau America --- Unuiĝintaj Ŝtatoj de Ameriko --- US --- USA --- Usono --- Vaeinigte Staatn --- Vaeinigte Staatn vo Amerika --- Vereinigte Staaten --- Vereinigte Staaten von Amerika --- Verenigde State van Amerika --- Verenigde Staten --- VS --- VSA --- Wááshindoon Bikéyah Ałhidadiidzooígíí --- Wilāyāt al-Muttaḥidah --- Wilāyāt al-Muttaḥidah al-Amirīkīyah --- Wilāyāt al-Muttaḥidah al-Amrīkīyah --- Yhdysvallat --- Yunaeted Stet --- Yunaeted Stet blong Amerika --- ZDA --- Združene države Amerike --- Zʹi͡ednani Derz͡havy Ameryky --- Zjadnośone staty Ameriki --- Zluchanyi͡a Shtaty Ameryki --- Zlucheni Derz͡havy --- ZSA
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