|
|
|
|
| LEADER |
03207cam a22004692c 4500 |
| 001 |
193-495366536 |
| 003 |
DE-603 |
| 005 |
20220611084936.0 |
| 007 |
cr ||||||||||| |
| 008 |
220606s2022 xx |||| o| u00| u|eng c |
| 020 |
|
|
|a 9781783304615
|c (ebook)
|
| 035 |
|
|
|a (DE-599)HEB495366536
|
| 035 |
|
|
|a (OCoLC)1289443939
|
| 040 |
|
|
|a DE-603
|b ger
|c DE-603
|d DE-603
|
| 041 |
|
|
|a eng
|
| 050 |
|
|
|a Z711.97
|
| 084 |
|
|
|a AN 73800
|0 (DE-625)160566:
|0 (DE-603)407283560
|2 rvk
|
| 245 |
|
|
|a Data science in the library
|b tools and strategies for supporting data-driven research and instruction
|c edited by Joel Herndon
|
| 264 |
|
|
|a London
|b Facet Publishing
|c 2022
|
| 264 |
|
|
|a Cambridge, UK
|b Cambridge University Press
|
| 300 |
|
|
|a 1 Online-Ressource (xxx, 146 pages)
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a Computermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a Online-Ressource
|b cr
|2 rdacarrier
|
| 520 |
|
|
|a 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?<br><br><i>Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction</i> 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.<br><br>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.
|
| 650 |
|
|
|a Forschungsdaten
|0 (DE-588)1098579690
|0 (DE-603)379187027
|2 gnd
|
| 650 |
|
|
|a Data Science
|0 (DE-588)1140936166
|0 (DE-603)417616619
|2 gnd
|
| 650 |
|
|
|a Bibliothek
|0 (DE-588)4006439-6
|0 (DE-603)085009229
|2 gnd
|
| 650 |
|
|
|a Database management in libraries
|
| 650 |
|
|
|a Data curation in libraries
|
| 650 |
|
|
|a Data services librarians
|
| 650 |
|
|
|a Research
|x Data processing
|
| 650 |
|
|
|a Big data
|
| 700 |
|
|
|a Herndon, Joel
|e Herausgeber
|4 edt
|
| 776 |
|
|
|z 9781783305186
|
| 856 |
|
|
|u https://www.cambridge.org/core/product/identifier/9781783304615/type/BOOK
|x Verlag
|
| 912 |
|
|
|a ZDB-20-CBO
|
| 924 |
|
|
|9 30/900
|a (DE-603)1202918492
|b DE-30-900
|c HES
|d d
|g /
|k https://www.cambridge.org/core/product/identifier/9781783304615/type/BOOK
|
| 924 |
|
|
|9 17
|a (DE-603)125671478X
|b DE-17
|c HES
|d d
|k https://www.cambridge.org/core/product/identifier/9781783304615/type/BOOK
|
| 924 |
|
|
|9 34
|a (DE-603)123481191X
|b DE-34
|c HES
|d d
|k https://www.cambridge.org/core/product/identifier/9781783304615/type/BOOK
|
| 924 |
|
|
|9 26
|a (DE-603)1202813089
|b DE-26
|c HES
|d d
|k https://www.cambridge.org/core/product/identifier/9781783304615/type/BOOK
|
| 980 |
|
|
|a 495366536
|b 193
|c sid-193-col-hebisbbi
|
SOLR
| _version_ |
1795299608109252608 |
| author2 |
Herndon, Joel |
| author2_role |
edt |
| author2_variant |
j h jh |
| author_facet |
Herndon, Joel |
| building |
Library A |
| callnumber-first |
Z - Library Science |
| callnumber-label |
Z711 |
| callnumber-raw |
Z711.97 |
| callnumber-search |
Z711.97 |
| callnumber-sort |
Z 3711.97 |
| callnumber-subject |
Z - Books and Writing |
| collection |
ZDB-20-CBO, sid-193-col-hebisbbi |
| contents |
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?<br><br><i>Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction</i> 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.<br><br>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. |
| ctrlnum |
(DE-599)HEB495366536, (OCoLC)1289443939 |
| facet_912a |
ZDB-20-CBO |
| facet_avail |
Online |
| finc_class_facet |
Allgemeines |
| format |
eBook |
| format_access_txtF_mv |
Book, E-Book |
| format_de105 |
Ebook |
| format_de14 |
Book, E-Book |
| format_de15 |
Book, E-Book |
| format_del152 |
Buch |
| format_detail_txtF_mv |
text-online-monograph-independent |
| format_dezi4 |
e-Book |
| format_finc |
Book, E-Book |
| format_legacy |
ElectronicBook |
| format_legacy_nrw |
Book, E-Book |
| format_nrw |
Book, E-Book |
| format_strict_txtF_mv |
E-Book |
| geogr_code |
not assigned |
| geogr_code_person |
not assigned |
| id |
193-495366536 |
| illustrated |
Not Illustrated |
| imprint |
London, Facet Publishing, 2022 |
| institution |
FID-BBI-DE-23 |
| is_hierarchy_id |
|
| is_hierarchy_title |
|
| isbn |
9781783304615 |
| isbn_isn_mv |
9781783305186 |
| language |
English |
| last_indexed |
2024-04-03T07:58:45.212Z |
| match_str |
herndon2022datascienceinthelibrarytoolsandstrategiesforsupportingdatadrivenresearchandinstruction |
| mega_collection |
HeBIS Verbundkatalog |
| oclc_num |
1289443939 |
| physical |
1 Online-Ressource (xxx, 146 pages) |
| publishDate |
2022, |
| publishDateSort |
2022 |
| publishPlace |
London, ; Cambridge, UK |
| publisher |
Facet Publishing, : Cambridge University Press |
| record_format |
marcfinc |
| record_id |
495366536 |
| recordtype |
marcfinc |
| rvk_facet |
AN 73800 |
| rvk_path |
A, AN 73800, AN, AN 50000 - AN 89900 |
| rvk_path_str_mv |
A, AN 73800, AN, AN 50000 - AN 89900 |
| source_id |
193 |
| spelling |
Data science in the library tools and strategies for supporting data-driven research and instruction edited by Joel Herndon, London Facet Publishing 2022, Cambridge, UK Cambridge University Press, 1 Online-Ressource (xxx, 146 pages), Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, 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?<br><br><i>Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction</i> 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.<br><br>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., Forschungsdaten (DE-588)1098579690 (DE-603)379187027 gnd, Data Science (DE-588)1140936166 (DE-603)417616619 gnd, Bibliothek (DE-588)4006439-6 (DE-603)085009229 gnd, Database management in libraries, Data curation in libraries, Data services librarians, Research Data processing, Big data, Herndon, Joel Herausgeber edt, 9781783305186, https://www.cambridge.org/core/product/identifier/9781783304615/type/BOOK Verlag |
| spellingShingle |
Data science in the library: tools and strategies for supporting data-driven research and instruction, 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?<br><br><i>Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction</i> 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.<br><br>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., Forschungsdaten, Data Science, Bibliothek, Database management in libraries, Data curation in libraries, Data services librarians, Research Data processing, Big data |
| title |
Data science in the library: tools and strategies for supporting data-driven research and instruction |
| title_auth |
Data science in the library tools and strategies for supporting data-driven research and instruction |
| title_full |
Data science in the library tools and strategies for supporting data-driven research and instruction edited by Joel Herndon |
| title_fullStr |
Data science in the library tools and strategies for supporting data-driven research and instruction edited by Joel Herndon |
| title_full_unstemmed |
Data science in the library tools and strategies for supporting data-driven research and instruction edited by Joel Herndon |
| title_short |
Data science in the library |
| title_sort |
data science in the library tools and strategies for supporting data-driven research and instruction |
| title_sub |
tools and strategies for supporting data-driven research and instruction |
| title_unstemmed |
Data science in the library: tools and strategies for supporting data-driven research and instruction |
| topic |
Forschungsdaten, Data Science, Bibliothek, Database management in libraries, Data curation in libraries, Data services librarians, Research Data processing, Big data |
| topic_facet |
Forschungsdaten, Data Science, Bibliothek, Database management in libraries, Data curation in libraries, Data services librarians, Research, Big data, Data processing |
| work_keys_str_mv |
AT herndonjoel datascienceinthelibrarytoolsandstrategiesforsupportingdatadrivenresearchandinstruction |