Case study: Ideas4Science.com demonstrated that info pros and researchers see value in an online community approach to exchanging ideas
We at Elsevier believe that experts such as information specialists and researchers hold the solutions to challenges that concern searching and retrieving information in the vast amount of data available. Input from experts helps us develop more evolved and sophisticated solutions to enhance scientific practices.
Recently, Elsevier conducted a one-month
pilot called Ideas4Science which sought
to generate new and better ways of
interacting with scientific information.
Ideas4Science was an invitation-only platform allowing information specialists and a select group of peers to share ideas and comments. To launch it, 65 people received an invitation with log-in details. Then 34 invitees, including users from the University of Western Sydney, Indian Institute of Science and Karolinska Institute, registered and participated on the site.
We asked participants to come up with ideas for solving these challenges:
- Ideal World Scenario: What is the ideal way to interact with all available information in your field? How would you like to interact with information and data in the future to find answers to your research questions?
- Failure of Filters: Update and alerting services are essential to staying on top of your research, but it’s impossible to keep up with everything. How can we keep from missing out on what we really need, without drowning in a flood of information?
- Next Big Thing: Working on current projects is hard enough, but how do you find out what the next big thing is? Is there an ideal way to utilize available scientific information to identify trends and define new research topics?
Ideas4Science.com attracted 83 visitors, 17 ideas and 16 comments. Following are two of the ideas submitted.
- S. Venkadesan, with the Indian Institute of Science, suggested a data mashup to help in searching for and retrieving information. Here’s his idea: “Create a data mashup that can harvest data from published literature. The mashup should be able to identify the requisite data queried, from table captions and figure captions of scholarly articles published. Currently all this gets done the hard way, manually. Now with mashups springing up as a part of Web 2.0, I feel it is time to try this.”
- Michael Gonzalez, with the University of Western Sydney, suggested intuitive and predictive searches with the power of cloud computing. Here’s his idea: “Researchers have profiles of research interests and published works. Would it not be prudent to develop a system intuitive enough to examine your work (current or past) and make suggestions on directions or available data? Imagine being able to submit your data and have related research past or ongoing be shown along with key contacts in your field. This would also examine raw data and show trends and possible gaps in the research area. You can use cloud computing principles to make the analysis more efficient as well as the processing of raw research data when idle.”
To honor Michael Gonzalez’s submission of the best idea generated during Ideas4Science, Elsevier has donated US $1,000 to the Nobel Foundation.
Surveyed upon the experiment’s
conclusion, 90% of the responding
Ideas4Science participants agreed that
an online community approach is a
good way to exchange ideas and
were willing to participate in a similar
experience in the future. ![]()
f.kersten@elsevier.com

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