- Decide which segment of your audience you want to address
- Consider using phones to conduct interviews to prevent appearance-based assumptions
- Don’t be embarrassed by what you don’t know
- Establish a rapport to unlock any filters the patron might bring to the interview
- Ground the interview – what were they trying to do, how did they approach the problem, etc.
- Write clear and thorough summaries after each interview
- Spend about 10 times the interview time analyzing each interview
Leaked NYT Innovation Report & Insights
Apparently inspired by some abrupt changes in top leadership, an anonymous New York Times staffer leaked a lengthy internal Innovation Report to Buzzfeed yesterday. And since it’s out there, we might as well read it!
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Well, except for the fact that it’s 91 pages long. Luckily, Harvard’s Neiman Journalism Lab has the literal highlights:
The leaked New York Times innovation report is one of the key documents of this media age
The article is a fascinating and useful summary of how the venerable institution is responding to the challenges and opportunities of news-making in the digital age. There are also some valuable insights for libraries as we consider the best way to digitally organize, surface and publicize our resources:
- The value of the homepage is decreasing. “Only a third of our readers ever visit it. And those who do visit are spending less time: page views and minutes spent per reader dropped by double-digit percentages last year.” (luckily, we aren’t seeing such a drop off at lib.uci.edu, but we do need to keep in mind that information consumption is no longer just page-as-destination)
- The Times needs to do a better job of resurfacing archival content. (or we need to beat them to it!)
- Consider tools to make it easier for journalists, and maybe even readers, to create collections and repackage the content / uses reader patterns to customize a list of content that readers missed but would most likely want to see (responsive & customizable interfaces–make it easier to give users what they really want/care about)
- Simple steps can be taken to lessen the loss of traffic to competitors: “Just adding structured data, for example, immediately increased traffic to our recipes from search engines by 52 percent.” (pound-for-pound, structuring and linking what we already have is the most efficient way to increase visibility & Google hits)
There’s a lot more, both in the article and the report itself. Definitely worth a look!
Global Open Knowledgebase (GOKb) – International collaboration to help transform the way libraries manage their resources
This information is from the NISO Webinar : ” We Know it When We See It: Managing “works” Metadata”, February 12, 2014.
The first presenter was Kristin Antelman, Associate Director for the Digital Library, North Carolina State University – “The Use and Designation of “Works” in GOKb”
More information you may find on the link of the project: http://gokb.org/
Kuali OLE, one of the largest academic library software collaborations in the United States, and JISC, the UK’s expert on digital technologies for education and research, announce a collaboration that will make data about e-resources—such as publication and licensing information—more easily available.
Together, Kuali OLE and JISC will develop an international open data repository that will give academic libraries a broader view of subscribed resources.
The effort, known as the Global Open Knowledgebase (GOKb) project, is funded in part by a $499,000 grant from The Andrew W. Mellon Foundation. North Carolina State University will serve as lead institution for the project.
GOKb will be an open, community-based, international data repository that will provide libraries with publication information about electronic resources. This information will support libraries in providing efficient and effective services to their users and ensure that critical electronic collections are available to their students and researchers
Cataloging news – Enriching WorldCat with FAST (Faceted Application of Subject Terminology)
FAST (Faceted Application of Subject Terminology) is a fully enumerative faceted subject heading schema derived from the Library of Congress Subject Headings (LCSH), a widely-used subject-access vocabulary published and maintained by the Library of Congress. The development of FAST has been a collaboration of OCLC and the Library of Congress with advice from members of the ALCTS/SAC/Subcommittee on FAST.
Beginning in September 2013, OCLC is systematically adding FAST headings to WorldCat bibliographic records. The records affected will already have LCSH assigned, and the routines will be applied only to records that are attributed as being English-language-of-cataloging.
Read more background about FAST
Eric Childress and Edward T. O’Neill, FAST report, ALA 2013 Annual Conference, 27 June-2 July 2013, Chicago, Illinois (USA)
Managing Research Data – from Goals to Reality
The recording is finally available:
1. I like the Q&A
2. I like “targeting early-career researchers”
3. Be aware of (or familiarize yourself with) http://schema.datacite.org/