166 sspcc1 b_newman

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New New Things-- Trends to Watch in Professional Publishing New New Things-- Trends to Watch in Professional Publishing Richard W. Newman SSP, June 8, 2006

Transcript of 166 sspcc1 b_newman

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New New Things--Trends to Watch in Professional Publishing

New New Things--Trends to Watch in Professional PublishingRichard W. NewmanSSP, June 8, 2006

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In the Beginning…

• There was Sir Timothy Berners-Lee, father of the Web

• Those who shared his vision took the technology and developed new application after new application

• New was better

• Lots of new features made Web sites look timely, created buzz, generated traffic

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And It Continues Today:Ideas, Ideas, Ideas

• Presentations at SSP, PSP, CSE, other professional meetings

• Online host’s new features• 47 new at HighWire meeting in May

• New features on competitor sites

• Advice from authors, board members, readers, librarians, gadget freak colleagues

• This morning’s Wall Street Journal

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Continuous Pressures to Add New Features

• Self-imposed, after watching Kent Anderson presentations

• Competitive pressures—they have it, don’t we need it?

• The need to impress others with your technological prowess

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Adding More and More, But Why?

• The primary focus has been: • What are new and better ways to do things?• not ways to evaluate what we have done• not what should be replaced .

• Does “new” always mean worthwhile?• Resources are finite• Space on Web pages is limited

• at least “above the fold”

• Without restraint…

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Sobering Feedback

• Librarians at Charleston Conference• worry about feature cost• like trade show booths• their focus was content

• Physicians at Council of Science Editors• don’t know about, or use, or have time for,

most features

• JAMA/Archives Web survey• few know about features• even in a “survey of the willing”

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What the Question Isn’t

• Is it new?

• Is it state-of-the art?

• Is it on other sites?

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The Key Strategic Questionsfor New Features

• What problem are we trying to solve? • Have readers cited the problem?• Have readers requested the proposed

solution?

• Will it attract a key audience (authors, academics, physicians)?

• Are our intelligent competitors doing it?• Do we know whether their readers use it?• Or are we throwing money down the same

sinkhole they already have?

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How Do You Evaluate Potential Features?

• Are you trying to attract readers? authors? media? the public?

• What do users expect/need/want?

• What makes them want to come back?

• Do the bells and whistles matter to them, ultimately?

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How Do You Evaluate Potential Features?

• What is your metric? • subscriptions?

• Web hits?

• submissions?

• impact factor?

• notoriety?

• Can your site be all things to all people?

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How Do you Evaluate Ideas?3-Stage Screening Process

• First screen: Before investing any time or effort

• Second screen: Before implementing

• Third screen: After implementing

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Preliminary Screening: Will It Improve an Important Metric?

• Quality metrics:• Impact Factor

• Times-cited statistic

• Commercial metrics:• Subscription sales

• Usage statistics

• Readership scores (for journals that carry advertising)

• Features are a means to an end

• Site sexiness is not an important metric

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Preliminary Screening: Will It Improve an Important Metric?

• Quality metrics:• Impact Factor

• Times-cited statistic

• Commercial metrics:• Subscription sales

• Usage statistics

• Readership scores (for journals that carry advertising)

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The Quality Metrics

• Relate to content

• New technology feature will not improve the quality of a journal’s content, but…

• Could make existing content more visible:• RSS

• PDA alerts

• Could help attract/retain authors:• Author Data Center

• Publish-ahead-of-print

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Preliminary Screening: Will It Improve an Important Metric?

• Quality metrics:• Impact Factor

• Times-cited statistic

• Commercial metrics:• Subscription sales

• Usage statistics

• Readership scores (for journals that carry advertising)

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The Commercial Metrics

• Relate to usage

• Usage is difficult to measure for print journals• pass-along estimates

• journals generally do not circulate

• some libraries use re-shelving counts as the only possible usage statistic

• COUNTER (Counting Online Usage of NeTworked Electronic Resources) reports show which journals are most used

• Standardized Usage Statistics Harvesting Initiative (SUSHI) will make aggregating easier

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The Commercial Metrics

• Increased importance of usage statistics:• Major pharmaceutical company analyzed the

cost of each full-text access by company staff (journal price --divided by--full text views).

• Librarian informed us that the cost per access for JAMA and for eight of the Archivesjournals was within acceptable limits.

• No criteria beyond cost per full-text download used in the evaluation

• Impact Factor, ISI “times cited” statistics, and other potential factors were ignored.

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The Commercial Metrics

• No evidence that librarians select online journals because of features

• Only full-text article usage is typically evaluated in library statistics

• even publishers have difficulty obtaining feature statistics

• New features can help explain price increases

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Possible Metric-Focused Criteria

• Favor: • features that drive users to articles

• e-mail a friend

• intra-site links that drive traffic to other articles (“site stickiness”)

• related article links (e.g., editorial)

• carry search-engine search to site

• Be Cautious:• search bells and whistles, unless your journal

is a portal site (not destination site)

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Second Screen: Might Actual Readers Find It, Use It?

• Key is actual users in non-survey environment• user panels

• in-depth interviews or non-intrusive observation

• Probe how new feature would be used in day-to-day activities

• Usability testing of prototype to ensure that users will find feature

• Scenarios to see if feature fits into logical workflow:

• don’t focus scenarios too closely on feature being examined

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Second Screen: Might Actual Readers Find It, Use It?

• Be neutral in studies

• Reject the role as champion

• Be a scientist, not a partisan

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Final Screen: Is It Actually Used?

• Most-used feature stats much more important than most-read article info

• Is typical workflow what you anticipated or want?

• Where do users abandon the path?• Sophisticated statistics package desirable• Simple, but effective, techniques if journal

cannot afford sophisticated package• Snapshot data better than nothing

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Before Abandoning a Feature, Try New Placement

• Commercial sites do this regularly; Washington Post daily

• Remember to adhere to prevailing placement standards and conventions

• Jakob Nielsen's Law of the Internet User Experience: users spend most of their time on other websites.

• In visiting all these other sites, people become accustomed to the prevailing design standards and conventions.

• When users arrive at your site, they assume it will work the same way as other sites.

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It’s OK to Delete Features

• Especially if license, or other ongoing fee is involved

• Page real estate in valuable

• Too many choices may confuse or distract readers

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The 3-Step Process

• Will the proposed feature improve an important quality or commercial metric?

• Is it likely to be used, based on:• ability to meet a user need

• visibility on the Web site

• Is it actually being used?

Final advice: Wait, if in doubt

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Being First Is Generally Unimportant

PIONEER

• Ampex

• Books.com

• Compuserve

• Bowmer

EXPLOITER

• JVC, Sony

• Amazon.com

• AOL

• Texas Instruments

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Don’t Be Afraid to Try, and Fail

• Batting 1.000 is a bad statistic

• Experiment, observe, react

• Share negative results with scholarly community, too

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