Evaluating information products
24th November 2020
The evaluation of products and information sources is a core activity for information professionals. It involves assessing current and future needs of users, whether any gaps are being addressed and ensuring value is being delivered to the organisation.
In a five-part series of articles, Jinfo looks at the steps involved in laying the foundations for a successful evaluation process, including the process for evaluating comparative products and sources, factors impacting product evaluation, and the value of following a set process. We also highlight a comprehensive comparative analysis of patent research projects conducted by the InfoCenter at Cargill as well as presenting activities and examples of best practice.
We look at:
- What needs to be done to lay the foundations for a successful evaluation process; including defining the business need and planning the project
- The methodology involved
- How to get participants involved and develop criteria for testing and documentation
- How to identify a list of products, how to create an initial review of products and user testing of the products and capturing data
- The outcome from the final evaluation stage of the project which involves aggregating and analysing data, and presenting recommendations and learning points.
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- Evaluating information products (step four - outcome and learning points)
Tuesday, 24th November 2020
- Evaluating information products (step three - testing the products)
Monday, 23rd November 2020
- Evaluating information products (step two - design)
Friday, 20th November 2020
- Evaluating information products (step one - scoping and laying the foundation)
Thursday, 19th November 2020
- Evaluating information products (introduction)
Wednesday, 18th November 2020
"I never before fully appreciated the role the information service plays in R&D productivity and innovation. This isn't something that benefits our department; this is something that benefits the whole of R&D."
You can make the impact of information on successful R&D visible and measurable, with Value Chain analysis.
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