Big Data, Little Data, No Data Scholarship in the Networked World
"Big Data" is on the covers of Science, Nature , the Economist , and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right...
Saved in:
| Main Author: | |
|---|---|
| Format: | eBook Book |
| Language: | English |
| Published: |
Cambridge, Mass
MIT Press
2015
The MIT Press |
| Edition: | 1 |
| Subjects: | |
| ISBN: | 0262028565, 9780262028561, 9780262529914, 0262529912, 9780262327862, 0262327864 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | "Big Data" is on the covers of Science, Nature , the Economist , and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six "provocations" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship. |
|---|---|
| AbstractList | An examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and humanities. "Big Data" is on the covers ofScience, Nature, theEconomist, andWiredmagazines, on the front pages of theWall Street Journaland theNew York Times.But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines.Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six "provocations" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship. "Big Data" is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines.Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six "provocations" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship. "Big Data" is on the covers of Science, Nature , the Economist , and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six "provocations" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship. Despite the media hyperbole, as Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. She argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. -- An examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and humanities. “Big Data” is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data—because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure—an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation—six “provocations” meant to inspire discussion about the uses of data in scholarship—Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship. An examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and humanities."Big Data" is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data-because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines.Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure-an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation-six "provocations" meant to inspire discussion about the uses of data in scholarship-Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship. |
| Author | Borgman, Christine L |
| Author_xml | – sequence: 1 givenname: Christine L surname: Borgman fullname: Borgman, Christine L |
| BackLink | https://cir.nii.ac.jp/crid/1130000794358812544$$DView record in CiNii |
| BookMark | eNqNkU1vEzEQhl1BEU2bH8Cl9FBRIZFmxuPPY5t-ShFcEFfLu_HSzW5329iU_ny82SBx5OCxR3re8Wu_E_a267vA2DHCuZYS5491etqEGOfWKjoHwLwA99jUagNcceLaKP6GTYYGuJFK7rMJBxSAmhO9YwcWQEAu5j2bxrge9AKEQjxgx5f1z5Mrn_yXk2WdUht2zdd-ezhi-5VvY5ju9kP24-b6--Jutvx2e7-4WM68USRh5kUBxkiPRSh5pWS5MnpVSFNxWWV3gVCYSlRG5luDL4MoV7TKxkUFgjQSHbJP4-DY1G0b-yq5ou-byMWrdkVTZM-GK-QZ_DyCPjbhd3zo2xTdSxu2tPvnT7T9f1YNc89G9mnTP_8KMbktVoYubXzrri8XRGQtQSZPR7Kra1fWQ0WkbBC0FSSNQS6FyNh8xHKA41scghsidX8jdUOkLqfhhkiy4uOoWMfUb3aatStTQt00pjOZ-DASdQhhB-icrbCa_gDkQZvd |
| ContentType | eBook Book |
| Copyright | 2015 Massachusetts Institute of Technology 2015 Christine L. Borgman |
| Copyright_xml | – notice: 2015 Massachusetts Institute of Technology – notice: 2015 Christine L. Borgman |
| DBID | RYH |
| DEWEY | 004 |
| DOI | 10.7551/mitpress/9963.001.0001 |
| DatabaseName | CiNii Complete |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISBN | 9780262327862 0262327864 0262327872 9780262327879 |
| Edition | 1 |
| ExternalDocumentID | bkb00082612 9780262327879 9780262327862 EBC3339930 BB22850189 10_7551_mitpress_9963_001_0001 j.ctt17kk8n8 7040497 |
| Genre | Electronic books |
| GroupedDBID | -D2 -VX .XE 20A 38. 6IK AABBV AAFKH AAJDW AAKGN AANYM AAOBU AAQWS AAZGR ABARN ABCYY ABFEK ABGVL ABIWA ABSTW ABWUP ACLGV ADBSC ADNIA ADVEM AECLD AEDEI AEFEZ AERYV AGLEC AHZGH AIWVP AIXPE AJFER ALHYN ALMA_UNASSIGNED_HOLDINGS AMYDA APVFW ATDNW AUOGV AZZ BBABE BEFXN BFFAM BGNUA BKEBE BPBUR BPEOZ CZZ DNNHO E2F EBSCA EBZNK ECCUC ECNEQ IVK IWL JLPMJ MICIX MIJRL MYL NK1 NK2 O7H OCL PQQKQ UE6 WZB XI1 ~I6 ABFXG ABMRC ABRSK ACGDZ ADWJN AHWGJ BGCXR L7C N85 OODEK ABAZT RYH ASBNL PLCCB PQEST PQUKI |
| ID | FETCH-LOGICAL-a86350-a4b0885a1bec2f65cd87db58f25f862e3148f4f85461eace4cd3d2784f0437133 |
| ISBN | 0262028565 9780262028561 9780262529914 0262529912 9780262327862 0262327864 |
| ISICitedReferencesCount | 474 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=0000210851&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| IngestDate | Fri Sep 23 12:24:36 EDT 2022 Thu Apr 17 09:28:50 EDT 2025 Thu Mar 20 12:07:33 EDT 2025 Wed Nov 26 04:14:33 EST 2025 Thu Jun 26 22:33:13 EDT 2025 Tue Jun 18 19:14:02 EDT 2024 Mon Dec 01 07:44:21 EST 2025 Sun Apr 21 09:07:52 EDT 2024 |
| IsPeerReviewed | false |
| IsScholarly | false |
| LCCN | 2014017233 |
| LCCallNum | AZ195.B66 2015 |
| LCCallNum_Ident | AZ195 -- .B66 2015eb |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-a86350-a4b0885a1bec2f65cd87db58f25f862e3148f4f85461eace4cd3d2784f0437133 |
| Notes | Includes bibliographical references (p. [289]-360) and index "First MIT Press paperback edition, 2016"--T.p. verso |
| OCLC | 900409008 |
| PQID | EBC3339930 |
| PageCount | 416 |
| ParticipantIDs | skillsoft_books24x7_bkb00082612 askewsholts_vlebooks_9780262327879 askewsholts_vlebooks_9780262327862 proquest_ebookcentral_EBC3339930 nii_cinii_1130000794358812544 mit_books_10_7551_mitpress_9963_001_0001 jstor_books_j_ctt17kk8n8 ieee_books_7040497 |
| ProviderPackageCode | MIJRL |
| PublicationCentury | 2000 |
| PublicationDate | 2015 20150102 2016,c2015 2015-02-03 2017-02-03 [2015] ♭2015 |
| PublicationDateYYYYMMDD | 2015-01-01 2015-01-02 2016-01-01 2015-02-03 2017-02-03 |
| PublicationDate_xml | – year: 2015 text: 2015 |
| PublicationDecade | 2010 |
| PublicationPlace | Cambridge, Mass |
| PublicationPlace_xml | – name: Cambridge, Mass – name: Cambridge – name: Cambridge, Massachusetts |
| PublicationYear | 2015 2016 2017 |
| Publisher | MIT Press The MIT Press |
| Publisher_xml | – name: MIT Press – name: The MIT Press |
| SSID | ssj0001404611 |
| Score | 2.5551777 |
| Snippet | "Big Data" is on the covers of Science, Nature , the Economist , and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But... "Big Data" is on the covers ofScience, Nature, theEconomist, andWiredmagazines, on the front pages of theWall Street Journaland theNew York Times.But despite... An examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and... "Big Data" is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But... Despite the media hyperbole, as Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more... |
| SourceID | skillsoft askewsholts proquest nii mit jstor ieee |
| SourceType | Aggregation Database Publisher |
| SubjectTerms | Big data Communication in learning and scholarship Communication in learning and scholarship -- Technological innovations Computing and Processing Cyberinfrastructure Data processing General Topics for Engineers Information Science Information storage and retrieval systems Information technology Internet Studies Library Science Methodology Research -- Data processing Research -- Methodology Technological innovations Technology Technology & Policy |
| SubjectTermsDisplay | Big data. Communication in learning and scholarship -- Technological innovations. Cyberinfrastructure. Electronic books. Information storage and retrieval systems. Information technology. Research -- Data processing. Research -- Methodology. |
| Subtitle | Scholarship in the Networked World |
| TableOfContents | Front Matter
Table of Contents
Detailed Table of Contents
Preface
Acknowledgments
1: Provocations
2: What Are Data?
3: Data Scholarship
4: Data Diversity
[II Introduction]
5: Data Scholarship in the Sciences
6: Data Scholarship in the Social Sciences
7: Data Scholarship in the Humanities
8: Sharing, Releasing, and Reusing Data
9: Credit, Attribution, and Discovery of Data
10: What to Keep and Why
References
Index Intro -- Contents -- Detailed Table of Contents -- Preface -- Acknowledgments -- I Data and Scholarship -- 1 Provocations -- 2 What Are Data? -- 3 Data Scholarship -- 4 Data Diversity -- II Case Studies in Data Scholarship -- 5 Data Scholarship in the Sciences -- 6 Data Scholarship in the Social Sciences -- 7 Data Scholarship in the Humanities -- III Data Policy and Practice -- 8 Sharing, Releasing, and Reusing Data -- 9 Credit, Attribution, and Discovery of Data -- 10 What to Keep and Why -- References -- Index |
| Title | Big Data, Little Data, No Data |
| URI | https://ieeexplore.ieee.org/servlet/opac?bknumber=7040497 https://www.jstor.org/stable/j.ctt17kk8n8 http://dx.doi.org/10.7551/mitpress/9963.001.0001 https://cir.nii.ac.jp/crid/1130000794358812544 https://ebookcentral.proquest.com/lib/[SITE_ID]/detail.action?docID=3339930 https://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9780262327862&uid=none https://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9780262327879 http://www.books24x7.com/marc.asp?bookid=82612 |
| WOSCitedRecordID | wos0000210851&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Nj9MwEB1BiwR7YgVoA-xSIQ4ciLZpnNi5sirisFQcVmhvVj6cVUhJURNW_fm8id30QxzgwMVynNaJ5zkzb-yxTfQuBWUVaWB8aaLMF5kUPlhI5ssiNonIgzhR9rAJuVio29vkqzs5pu2PE5BNozab5Od_hRplAJuXzv4D3EOlKEAeoCMF7EiPGPFw6eZkqzuAaNngdcV7Ew-Xi1WfHXzv1frOjXzazQWYal7vDwAE0dEAAFTcQbiG9QzhWoErSWVV3bGelOBJaMePquujbTlKAh8iz8rwfo7BzjYMEXsSH7tI5EMaz0QURiMaw2zOv-yGswTv3B7YNdhc_eW28suDqk_oJG1r6G_o9q51R9psY0Fh3_EvpE1VHTD-x21dLZctDNOe8b95SmPDK0JO6YFpntEFxDxhYX6YWCG7i8Wqzzynb5_mN1effXfIhJ8qkK2pn4oMmjZKA_TmWRnzZgmyyCJVzqIS4jMhHMZSlCpC-2CljMiLsODp2pK3hYKL_4JGzaoxZzSB8xoEuUrjaZgKmScqzmQODijSzMRFrjx6u9d4fb_sJ8RbfYDXX_xIJh6dsuC0veXA8eisF6Mr_a7zrgtkXasGT34Pybob8PsYIb1FSDNCHNzYRyJ4dA7x67ziNODZTtDIBKxagQtGQng02QKj-1dzUcR6_vEqDJnvTj16MwBmnzkTG6mz2lJOkOqXf3r_V_Rk179f06hb_zLn9Ci_76p2feF63G-7e0p0 |
| linkProvider | ProQuest Ebooks |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=book&rft.title=Big+Data%2C+Little+Data%2C+No+Data&rft.au=Borgman%2C+Christine+L&rft.date=2015-01-01&rft.pub=MIT+Press&rft.isbn=9780262327862&rft_id=info:doi/10.7551%2Fmitpress%2F9963.001.0001&rft.externalDocID=7040497 |
| thumbnail_m | http://cvtisr.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Fvle.dmmserver.com%2Fmedia%2F640%2F97802623%2F9780262327862.jpg http://cvtisr.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Fvle.dmmserver.com%2Fmedia%2F640%2F97802623%2F9780262327879.jpg |