Publications
Preprints
About UCL Open: Env.
Aims and Scope
Editorial Board
Indexing
APCs
How to cite
Publishing policies
Editorial policy
Peer review policy
Equality, Diversity & Inclusion
About UCL Press
Contact us
Information for authors
How it works
Benefits of publishing with us
Submit
How to submit
Preparing your manuscript
Article types
Open Data
ORCID
APCs
Contributor agreement
Information for reviewers
Review process
How to peer review
Peer review policy
Register Dashboard
Search

Browse
Publications
Preprints
About
About UCL Open: Env.
Aims and Scope
Editorial Board
Indexing
APCs
How to cite
Publishing policies
Editorial policy
Peer review policy
Equality, Diversity & Inclusion
About UCL Press
Contact us
For authors
Information for authors
How it works
Benefits of publishing with us
Submit
How to submit
Preparing your manuscript
Article types
Open Data
ORCID
APCs
Contributor agreement
For reviewers
Information for reviewers
Review process
How to peer review
Peer review policy
My ScienceOpen

Register Dashboard
Search
10
views
10
references
 Top references
cited by
0
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      3,157
      similar
       All similar
      • Record: found
      • Abstract: not found
      • Book Chapter: not found
      Collaboration in a Data-Rich World: 18th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2017, Vicenza, Italy, September 18-20, 2017, Proceedings 

      Data Rich – But Information Poor

      other
      Author(s): ,
      Publication date (Online):
      Publisher: Springer International Publishing

      Read this book at

      Publisher
      Buy book
      Bookmark
          There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references10

          • Record: found
          • Abstract: not found
          • Article: not found

          Evidence-Based Medicine

          Gordon Guyatt (1992)
          Article 0 comments Cited 245 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications

            Christopher Boone, Jeremy D. Ezell, L. Allison Jones-Farmer … (2014)
            Article 0 comments Cited 162 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              What can digital disease detection learn from (an external revision to) Google Flu Trends?

              Mauricio Santillana, D Wendong Zhang, Benjamin M. Althouse … (2014)
              Google Flu Trends (GFT) claimed to generate real-time, valid predictions of population influenza-like illness (ILI) using search queries, heralding acclaim and replication across public health. However, recent studies have questioned the validity of GFT.
              Article 0 comments Cited 85 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and book information

                Book Chapter
                Publication date (Print): 2017
                Publication date (Online): August 22 2017
                Pages: 206-214
                DOI: 10.1007/978-3-319-65151-4_20
                SO-VID: c2cee19a-32ea-4da1-bb9c-4167441d4913
                History

                Data availability:

                Comments

                Comment on this book

                Book chapters

                Similar content3,157

                See all similar