國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Data journeys in the sciences

Leonelli, Sabina.

Data journeys in the sciences

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data journeys in the sciencesedited by Sabina Leonelli, Niccolo Tempini.
其他作者:	Leonelli, Sabina.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	xvii, 412 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Quantitative research.
電子資源:	https://doi.org/10.1007/978-3-030-37177-7
ISBN:	9783030371777$q(electronic bk.)

Data journeys in the sciences
Data journeys in the sciences[electronic resource] /edited by Sabina Leonelli, Niccolo Tempini. - Cham :Springer International Publishing :2020. - xvii, 412 p. :ill. (some col.), digital ;24 cm.

Open access.

This groundbreaking, open access volume analyses and compares data practices across several fields through the analysis of specific cases of data journeys. It brings together leading scholars in the philosophy, history and social studies of science to achieve two goals: tracking the travel of data across different spaces, times and domains of research practice; and documenting how such journeys affect the use of data as evidence and the knowledge being produced. The volume captures the opportunities, challenges and concerns involved in making data move from the sites in which they are originally produced to sites where they can be integrated with other data, analysed and re-used for a variety of purposes. The in-depth study of data journeys provides the necessary ground to examine disciplinary, geographical and historical differences and similarities in data management, processing and interpretation, thus identifying the key conditions of possibility for the widespread data sharing associated with Big and Open Data. The chapters are ordered in sections that broadly correspond to different stages of the journeys of data, from their generation to the legitimisation of their use for specific purposes. Additionally, the preface to the volume provides a variety of alternative "roadmaps" aimed to serve the different interests and entry points of readers; and the introduction provides a substantive overview of what data journeys can teach about the methods and epistemology of research.

ISBN: 9783030371777$q(electronic bk.)

Standard No.: 10.1007/978-3-030-37177-7doiSubjects--Topical Terms:

367894
Quantitative research.

LC Class. No.: QA76.9.Q36 / D37 2020

Dewey Class. No.: 001.42

Data journeys in the sciences
LDR:02512nmm a2200325 a 4500 001 593399
003 DE-He213
005 20200705064025.0
006 m d
007 cr nn 008maaau
008 210727s2020 sz s 0 eng d
020 $a 9783030371777$q(electronic bk.)
020 $a 9783030371760$q(paper)
024 7 $a 10.1007/978-3-030-37177-7 $2 doi
035 $a 978-3-030-37177-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.Q36 $b D37 2020
072 7 $a PDA $2 bicssc
072 7 $a SCI075000 $2 bisacsh
072 7 $a PDA $2 thema
082 0 4 $a 001.42 $2 23
090 $a QA76.9.Q36 $b D232 2020
245 0 0 $a Data journeys in the sciences $h [electronic resource] / $c edited by Sabina Leonelli, Niccolo Tempini.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xvii, 412 p. : $b ill. (some col.), digital ; $c 24 cm.
506 $a Open access.
520 $a This groundbreaking, open access volume analyses and compares data practices across several fields through the analysis of specific cases of data journeys. It brings together leading scholars in the philosophy, history and social studies of science to achieve two goals: tracking the travel of data across different spaces, times and domains of research practice; and documenting how such journeys affect the use of data as evidence and the knowledge being produced. The volume captures the opportunities, challenges and concerns involved in making data move from the sites in which they are originally produced to sites where they can be integrated with other data, analysed and re-used for a variety of purposes. The in-depth study of data journeys provides the necessary ground to examine disciplinary, geographical and historical differences and similarities in data management, processing and interpretation, thus identifying the key conditions of possibility for the widespread data sharing associated with Big and Open Data. The chapters are ordered in sections that broadly correspond to different stages of the journeys of data, from their generation to the legitimisation of their use for specific purposes. Additionally, the preface to the volume provides a variety of alternative "roadmaps" aimed to serve the different interests and entry points of readers; and the introduction provides a substantive overview of what data journeys can teach about the methods and epistemology of research.
650 0 $a Quantitative research. $3 367894
650 0 $a Big data. $3 609582
650 1 4 $a Philosophy of Science. $3 277156
650 2 4 $a History of Science. $3 212526
650 2 4 $a Science, Humanities and Social Sciences, multidisciplinary. $3 760550
700 1 $a Leonelli, Sabina. $3 884804
700 1 $a Tempini, Niccolo. $3 884805
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-37177-7
950 $a Religion and Philosophy (SpringerNature-41175)