People Information: Finding Accurate, Authoritative and Well Organised Data [ABSTRACT]
Jinfo Blog
4th January 2009
By Donna Fryer
Abstract
Although free information on people abounds on the Web, the quantity isn't always matched by quality. User-generated information, for instance, may skew accuracy, and verification can be tricky. Donna Fryer recommends revisiting the "Big Three" fee databases of Factiva, Dialog, and LexisNexis to be sure that the people data you use is reliable.
Item
Although free information on people abounds on the Web, the quantity isn't always matched by quality. User-generated information, for instance, may skew accuracy, and verification can be tricky. Donna Fryer recommends revisiting the "Big Three" fee databases of Factiva, Dialog, and LexisNexis to be sure that the people data you use is reliable.
What's Inside:
Going back to the days when things were simpler and you could rely on only having to know search parameters in fee-based databases, searchers need to keep in mind that database searching is often a better alternative to Web research and we need to reacquaint ourselves with the ‘Big 3' (Factiva, Dialog, and LexisNexis) fee-based database offerings.
---
This is a brief abstract of the full article. FUMSI subscribers can log in to MyShop at FreePint view the full article. Others can subscribe to FUMSI now for access to the complete archive of FUMSI articles.
- Blog post title: People Information: Finding Accurate, Authoritative and Well Organised Data [ABSTRACT]
- Link to this page
- View printable version
- People Information: Finding Accurate, Authoritative and Well Organised Data
Sunday, 4th January 2009
- Research: A Diligent Approach [ABSTRACT]
Tuesday, 29th July 2008
Vendor adoption of AI
Community session
23rd May 2024
Mainstream GenAI, emerging vendors and your offshore resourcing strategy
Blog posting
9th May 2024
May 2024 Update
YouTube video
9th May 2024
- Jinfo Community session (TBC) (Community) 16th July 2024
- Jinfo Community session (TBC) (Community) 18th June 2024
- Vendor adoption of AI (Community) 23rd May 2024