Metadata, tagging, content modeling … they’re not identical concepts, but they’re driven by the same basic principle: when you structure your digital information, it can be more easily searched, reused, connected, shared, and analyzed. If you’re new to structured content, where should you start? Ideally, your metadata strategy will be part of your overall content strategy. In practice, however, a lot depends on your agency’s culture, its technical resources, its existing practices, and the state of your content.
Hannah Gladfelter Rubin
People consume government information in a variety of ways: through agency websites, of course, but increasingly through social media, search engines, and mobile apps, whether developed by agencies or third parties. To make sure the information is available seamlessly, accurately, and consistently from one setting to another, more and more agencies are exploring the use of content models. Content models create a structure to tag content in a standardized way and free it from any single format or destination, such as a Web page or PDF file.
Uncovering meaningful analytics from months or years of Web metrics is daunting, at best. So how do you make great Web improvements using metrics? Whether you’re just getting started in Web analytics or you want to take your program to the next level, you should focus on accurate data, customer service, and concrete goals, said Sam Bronson, Web Analytics Program Manager at the Environmental Protection Agency (EPA), in a Sept.
Over the years, the staff intranet at the National Archives and Records Administration (NARA) had become increasingly difficult to use. Old, irrelevant content routinely bubbled to the top of search results, and essential employee tools were hard to find. NARA staff agreed that the site was due for an upgrade: fixing NARA@work was voted a top priority for 2013 in the annual Employee Viewpoint Survey. NARA managers, from the Archivist of the United States on down, supported the effort and helped recruit staff to participate.