Access the full text.
Sign up today, get DeepDyve free for 14 days.
D. Bell (1974)
The Coming of Post-Industrial Society, a venture in Social Forecasting
Richard Wilson, Joan Stenson (2008)
Valuation of information assets on the balance sheetBusiness Information Review, 25
V. Khatri, Carol Brown (2010)
Designing data governanceCommun. ACM, 53
Paul Tallon, Ronald Ramirez, J. Short (2013)
The Information Artifact in IT Governance: Toward a Theory of Information GovernanceJournal of Management Information Systems, 30
A. Strauss, J. Corbin (1998)
Basics of qualitative research : techniques and procedures for developing grounded theory
Viktor Mayer-Schnberger, K. Cukier (2013)
Big Data: A Revolution That Will Transform How We Live, Work, and Think
Jr. Horton (1989)
Mapping corporate information resourcesInternational Journal of Information Management, 9
N. Horne (1995)
Information as an asset—The board agendaComputer Audit Update, 1995
C. Oppenheim, Joan Stenson, Richard Wilson (2003)
Studies on Information as an Asset II: Repertory GridJournal of Information Science, 29
E. Orna (1999)
Practical Information Policies
Y. Benkler (2006)
The wealth of networks: how social production transforms markets and freedom
J. Foster (2013)
Valorising the Cultural Content of the Commodity: On Immaterial Labour and New Forms of Informational Work
T. Davenport, Jeanne Harris, R. Morison (2010)
Analytics at Work: Smarter Decisions, Better Results
M. Porter (1985)
Competitive Advantage: Creating and Sustaining Superior Performance
J. Foster, S. Benford, Dominic Price (2013)
Digital archiving as information production: Using experts and learners in the design of subject accessJ. Documentation, 69
Nelson Kellogg (1993)
The Work of Nations: Preparing Ourselves for 21st-Century Capitalism by Robert B. Reich (review)Technology and Culture, 34
S. Boehm (2016)
Information Dashboard Design The Effective Visual Communication Of Data
Michael Veale (2015)
Book review: the formula: how algorithms solve all our problems … and create more by Luke Dormehl
Susan Henczel (2001)
The Information Audit: A Practical Guide
C. Oppenheim, Joan Stenson, Richard Wilson (2003)
Studies on Information as an Asset I: DefinitionsJournal of Information Science, 29
E. Maceviciute (2003)
Review of : Choo, C.W. Information management for the intelligent organization: the art of scanning the environment. 3rd ed. Medford, NJ: Information Today, Inc., 2002Information Research, 8
C. Oppenheim, Joan Stenson, Richard Wilson (2004)
Studies on Information as an Asset III: Views of Information ProfessionalsJournal of Information Science, 30
Purpose– It is a commonplace that innovation in the digital economy is now driven by data. Business organizations, media companies, and government, for example all create economic and societal value from the digital traces left by the user population. At the same time the data captured also contains information that personally identifies consumers, citizens and patients as individuals. The purpose of this paper is to place this new form of data work in the context of previous approaches to information work; to identify the differences between information and data work and the resulting challenges for data professionals. Design/methodology/approach– Informed by a review of previous approaches to information work, the paper argues that the shift in value from information to data as an economic asset and a societal good entails a new form of human-oriented data work. One that is more sensitive to the contextual conditions and consequences of the capture, processing and use of data than has been the case hitherto. The implications of this for a shift in emphasis from the data scientist to the data professional is addressed, as are emerging issues of governance and ethics. Findings– The main consequence for data professionals is to ensure that processes are in place not only to enable the creation of valued products and services from data, but also to mitigate the risks related to their development. The paper argues that ensuring this involves taking a contextual view that locates data processing within the user, governance, legal, and ethical conditions related to data work. The consequences for the governance of data, and the education of data professionals are addressed. Originality/value– The value of the paper rests in its development of an analytical and methodologically driven framework, that places new forms of data work in the context of their conditions and consequences. The framework builds on prior approaches to information work, current approaches to data work, and addresses the governance, and educational challenges arising from organizations’ emphasis on data-driven innovation in a digital economy.
Library Hi Tech – Emerald Publishing
Published: Jun 20, 2016
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.