Evidence map›Paper›PMID 27219466›Full record

ArticlePloS one2016

How Does National Scientific Funding Support Emerging Interdisciplinary Research: A Comparison Study of Big Data Research in the US and China.

Ying Huang, Yi Zhang, Jan Youtie, Alan L Porter, Xuefeng Wang

Abstract readComparative Study
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Discovering Interdisciplinary Research Based on Neural Networks.Frontiers in bioengineering and biotechnology · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ying HuangSchool of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China.
Yi ZhangSchool of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China.
Jan YoutieEnterprise Innovation Institute, Georgia Institute of Technology, Atlanta, GA, 30332, United States of America.
Alan L PorterSchool of Public Policy, Georgia Institute of Technology, Atlanta, GA, 30332, United States of America.
Xuefeng WangSchool of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China.

Funding

Marital Interaction in Alcoholic Couples Over TimeR21AA015105 · NIAAA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CRANFORD, JAMES A · 2006 to 2007
$394k
NIAAA NIH HHS R21 AA015105
6 · The paper itself

Abstract

How do funding agencies ramp-up their capabilities to support research in a rapidly emerging area? This paper addresses this question through a comparison of research proposals awarded by the US National Science Foundation (NSF) and the National Natural Science Foundation of China (NSFC) in the field of Big Data. Big data is characterized by its size and difficulties in capturing, curating, managing and processing it in reasonable periods of time. Although Big Data has its legacy in longstanding information technology research, the field grew very rapidly over a short period. We find that the extent of interdisciplinarity is a key aspect in how these funding agencies address the rise of Big Data. Our results show that both agencies have been able to marshal funding to support Big Data research in multiple areas, but the NSF relies to a greater extent on multi-program funding from different fields. We discuss how these interdisciplinary approaches reflect the research hot-spots and innovation pathways in these two countries.

Indexed as

Biomedical ResearchChinaFinancial SupportFoundationsInterdisciplinary StudiesNatural Science DisciplinesUnited States

Identifiers

PMID27219466
PMCPMC4878788

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.