Friday, November 22, 2013

Payola, Anyone?

I have been attending a lot about "Open Access" lately. Between attending Open Science: Driving Forces and Practical Realities and Eileen Joy's Freedom, Responsibility, E-Publishing, and Building New Cultural-Intellectual Publics, my brain in still processing Green Open Access, Gold Open Access, Open Science, Open Data, Self Archiving, et al.

Open Science forum two things stood out to me. Dr. John King, from the University of Michigan, made the observation that tenure would end. He didn't know when. He didn't favor it. He was seeing signs that it was ending, a increasing percentage of professors and teachers were holding non tenure track positions. In the afternoon session, The Future of Open Science, one of the state roadblocks is no one wants to pay for Open Science. Everyone likes the idea of freely available peer reviewed papers, but no one is willing to pay for it. Each organization looks to someone else to provide the infrastructure. Publishers don't want to reduce profits for Open Science. Schools see Open Science as an added cost. Agencies don't think they can sell the costs to the public.

The marginal cost of information is extremely low.1 Many would insist information should be free. It is not. It is like a free lunch. Even if you're not paying for it someone is. Usually they expect something in return. People who create and disseminate information need to have access to broadcast information. That costs something. They like to eat. That costs something. There needs to freedom to broadcast information and appropriate limits to protect information that could be harmful to others. Enforcement and protection cost money. Sometimes these costs are born by a publisher. Sometimes they are born by the author, sometimes they are born by someone else, usually a government, or an advertiser.

I see a potentially bad scenario: a young researcher is trying to get tenure. The requirements are publication and citation. A paper is accepted at a high impact open access journal. The researcher can choose to pay to have the article open and more likely to be cited, or behind a pay wall. The University does not pay publishing fees for non-tenure researchers. We have a classic catch-22 - if you're tenured you are printed in open journals and cited. In order to be tenured you need to be cited. In order to be cited you need to be in an open access journal. In order to be open in an open access journal you need to pay, but the University doesn't pay publication costs for non-tenured researchers. The problem has an eerie resemblance to payola schemes.

There are a host of things to keep this from happening, not the least of which is funding agencies my allow portions of a grant to go to publication costs. Right now, most publishers wave the price for open if the research can't pay. It will be interesting to see where this all goes.

1 I would like to see someone actually sit down and figure out the cost of a page of internet information. Not how much does it cost me the user, but how much did it cost. You know, it takes three hours to type and edit one page of 500 words on a computer, assuming a wage of $X per hour, prorated cost of computer equipement/cell phone/tablet, cost of internet connection, server costs to host for a year, etc. what does information actually cost?

Tuesday, November 12, 2013

Deer in the Headlights at Postdam

Thirty years ago, I woke up early, got into my little red truck and started down US 30 to get to a job. I needed to be there at 5:30 to be ready for the day's round of testing and would be traveling rural roads. Somewhere, in Norwin, I spotted a doe running across the freeway. I didn't spot the buck following her. He saw me and froze.

Jenica Rogers gave the opening remarks at yesterday's session of the Charleston Conference. She likened librarians to the deer in the headlight, unable to move out of the way of the oncoming danger. In her analogy the danger is the ever increasing abusive nature of publisher "deals" for electronic subscriptions and price increases that exceed inflation.

I collided with the deer. The front end of my truck was pushed into the engine. The buck died. The truck died. I didn't work that day. I didn't get paid, and I spent time and a lot of money getting the truck moving again. 

My concern is academic publishing could be like music publishing with the advent of the xerox copier. Musicians upset with the price of sheet music circumvented copyright. Publishers increase prices in an attempt to regain lost revenue. A vicious cycle of price increases and copying ensued leaving fewer music publishers and less available sheet music. Academic publishers are consolidating into relatively large for profit corporations. Technology and changes in laws and regulations are potentially creating environments that are hostile to some business models.

I believe the on-coming lights are a rapidly moving train. The train is the changing information environment. To avoid the on-coming train, libraries and publishers will need to work together to get out of the way. The current apparent hostilities between academic libraries and some publishers could be analogous to labor relations that exacerbated situations like the decline of the steel industry and the collapse of the American automotive industry. Generally, labor and owners lost. Replicating this experience in academic publishing could result in a situation where we all lose.

I would propose a detente of sorts. Both sides would need to make concessions. Publishers need to avoid killing the goose that laid the golden egg. Libraries have budgets, increasing prices, especially subscription prices make this a zero sum game. Solving for this quarter's profits will ultimately end with subscription cuts as libraries look for other ways to provide access to information sources. Librarians will, as Jenica Rogers did, say no when terms become too onerous. Discontinuing packages, requiring long term contracts, and tiered pricing all put pressure on budgets that may result in the hard decision coming sooner rather than later.

Publishers need to look long and hard at the services they provide. It is important to do those services well and to highlight subscriptions are for those services. As long as academic institutions provide the content for free, it is important to make sure the editorial, archiving, and indexing services are truly top notch and justify the cost. High impact factor is not a justification for price. High editorial standards with rapid publication and good findability are.

Librarians need to lose the hostility. Remembering past transgressions doesn't improve the situation today. If you don't like a publisher, don't do business with them. For some academic uses journals are fungible. Often, a researcher needs an article not the article. Librarians should recognize the publishers are providing services. Publishers should be paid for providing those services. Information is not free, it takes  human effort to create and distribute.

I believe publishers and libraries need each other. We need good relations. We need fair pricing. We need a long view to stay ahead of changes. If we don't we may all be looking for a new profession.

Friday, July 5, 2013

Lean, Demand Driven Acquisition, and the Library

I am currently working with a variation of Lean for libraries - it's called demand driven or patron driven acquisition. The assumptions for demand driven acquisition are
  • If one patron uses an item, it is much more likely someone else will use the item
  • If patrons can find items, they will choose to use items
So, generally demand driven acquisition adds electronic items to a catalog and when the item is request the library purchases the item for the patron's use.

Is this Lean approach really good for libraries? Context matters for Lean. Think about Lean in the context of food supply for hunter-gathers. If you live in a tropical garden of Eden with a fairly constant food supply, storage is nonsensical. Gather, cook, and eat when you are hungry - there will be more later. However, if you live closer to the poles with wide seasonal variation, the equation changes - there will be lean times when little or no food is available. People have developed options to deal with this -
  • Gather food when it is plentiful and preserve it for later use
  • Migrate to areas with different seasonal patterns
  • Ship food from areas with different season patterns
Each of these solutions involves one or more forms of wasted identified by Lean. And that doesn't mean those aren't the right solutions for those situations.

The Library context is an interesting challenge - Libraries have been traditionally been places that bought, stored, loaned, and sold physical items.1 Many of the costs of libraries still revolve around storing, shipping and processing items. Open stacks make it possible for patrons to sample inventory and make borrowing decisions based on more than the entries in the catalog. Patrons may judge books by information conveyed on covers, surrounding items, and random samples pulled out of the text.

As we move to an electronic era with eBooks, streaming music, and streaming video the context has changed. Items can be purchased and delivered seamlessly to the patron. The supplier takes on the electronic storage costs. The library takes the responsibility to provide a communication connection to the supplier. In the context of reliable high speed internet, limited space, and limited budgets, this feels like the right solution.

As a librarian, I provide access to materials. Sometimes that means, I buy books. Sometimes it means adding a record to the catalog and buying the book when some patron wants it. And at some level I need to replicate the experience of wandering open stacks. And that is post for another day.
  1. The separation between bookstores and libraries appears to  be fairly recent. The french cognate for library, librarie is translated as bookstore.

Tuesday, June 11, 2013

Google and the death of Serendipity

Serendipity : the faculty or phenomenon of finding valuable or agreeable things not sought for; http://www.merriam-webster.com/dictionary/serendipity

I've been thinking about serendipity. Mostly, about whether serendipity can survive the age of search engines. Don't get me wrong - there is power in being able to find something when you seek it. There is nothing more frustrating than knowing something is out there and not being able to find it. But how do you find something you don't know exists?

At least since the practice of open stacks became available, individuals have been able to randomly walk into the stacks and pull any book off the shelf. For past generations this was allowed them to learn beyond a specialize domain. In some sense, it created the continual learning associated with being educated. You could find almost anything and potentially draw influence from something unrelated.

Paper - because it is not easily queried to the word, lends itself to serendipity. A book is pulled from a shelf cracked and assessed - a magazine's contents are scanned. Something unexpected, but interesting enters into an unintended audience with unintended wonderful consequences: something new is created. Some new perspective is gained. Innovation takes place.

How do you preserve serendipity when content is recorded in bits? Web surfing - the now dead practice of following links between sites, is almost extinct. With the rise of search engines it is far easier to look for something and trust the search engine tuners.

It is inevitable; we are moving from the bulk of paper to the access of electrons. The mass of information being produced would overwhelm any attempt to store it in paper. We have more available, but it is better? Are people able to learn from the random? Are there still meaningful joyous surprises happening? How do you preserve serendipity?

Saturday, April 13, 2013

Managing Documents

Three things have come together in the last six weeks that have reminded me of the importance of document management:
  • I ran a mini-financial audit for a non-profit to prepare for a more formal audit.
  • I prepared my personal income taxes.
  • I reviewed database usage to assessing which subscriptions to renew.
Each is in a different knowledge domain. Each has multiple dimensions that need to be considered. Each requires deciding when to keep records. 

The first two cases are relatively easy. Financial rules are fairly well defined by accounting principles and various laws and regulations. It is easy to sit down with an accountant, bookkeeper, or lawyer and review the record keeping requirements. In the case of the audit, I was looking for a list of defined records that were need to back specific transactions. The organization has guidelines for the types of receipts and other documents that need to be kept and how to handle exceptions. The organization has guidelines for how long records need to be kept. Similarly, with taxes there are regulations for how long you need to keep records based on how long the IRS or state taxing authority can audit for supporting documents - I am certain the organizational guidelines are governed by these regulations. The database subscriptions are a bit more tricky. There are no clear regulations. Instead there is an organizational need to support organizational goals. In this case, the goals are teaching and research. 

I'm trying to put together questions, I can use to decide when to keep and when to discard documents in a collection. This is my tentative list, and I would think in any organization could create a similar list with the help of financial, IT, and legal departments.
  1. Will the documents be used? Are the documents being used?
  2. How much does it cost to create and retain documents?
  3. Is a document or collection available from somewhere else? What will it cost me to get it?
  4. What does it cost to discard or discontinue a document?
  5. How long should a document be kept? How long will it have value?
Keep in mind cost in my list is not necessarily just a financial cost, you might also need to consider good-will, convenience, or risk as costs. Is there a better way to think about and manage information?

Wednesday, February 27, 2013

Knowledge Management vs. Information Technology

Managing data is easily accomplished with basic information technology like databases. This sometimes creates the illusion that we can manage very large amounts of data with little cost. Managing to turn data into information, by giving it a meaningful context, is becoming an area of intense research. Some organizations try to manage so called "big data".1 Big data requires specialized tools and expertise. Often an organization needs two or three highly specialized and skilled individuals to create information out of data. Comparatively, giving data a context to turn it into information is child's play when compared to the task of being able to actually use the information and create knowledge. Managing knowledge is virtually impossible. Because knowledge is created by the individual, directly managing knowledge requires structuring every interaction between every individual in an organization and the organization's information. This is best called by its common name, micro-management. Micro-management is not knowledge management. I define knowledge management as
Creating an information environment where
  • Individuals have access to the information they need to create knowledge 
  • Individuals record information that is likely to be needed by the organization
  • Information is viewed as a valuable asset by the organization
From my definition knowledge management encompasses aspects that can not be addressed by information technology alone. Knowledge management encompasses Information Management and Document Management. It has an important role to play in an information intense environment. Knowledge management professionals need to consult and work closely with other key departments in an organization, such as Information Technology, Marketing, Legal, and Financial departments.

There are several strategies for creating such an information environment. I would like to examine some strategies for creating this kind of information environment in future posts.

1 "Big Data" is any unstructured dataset that requires special tools and insight to make meaningful. The term is deliberately vague and depends on the organizations ability to use the data.

Wednesday, January 30, 2013

A Manifesto for Library School Graduates

Some have suggested Librarian is a dying profession. Some Libraries are cutting back on professional staff. Some organizations are eliminating Librarian positions and hope to replace these positions with sophisticated software tools. I believe these organizations are being foolish and short sighted. I believe Library School Graduates have key skills and tools that should be valuable assets for any organization that uses information.

Library School Graduates face serious professional challenges. There is a trend to see software as tools that can replace knowledge workers1 in much the same way machines replaced industrial workers. For example, Google is seen by some as a replacement for reference services. Developers are working furiously to create software that can query large bodies of unstructured data to replace indexing. And social media is seen by some as a way to replace collection development by providing relevance. Corporate librarians are often seen as expensive professionals that do not contribute to the bottom line. They are not creating services used by direct customers and so are seen as a cost. Knowledge management appears to be evolving into an technology management role.

If we were to only look at these challenges the out look is grim. However, there are reasons Library School Graduates should be hopeful. The amount of information being created is increasing geometrically. Some people are starting to realize the amount of information that can be retained is greater than the organization ability to use it. Information technology is often taxed by the expectations to manage large amounts of data. I believe some organizations are coming to the realization that information technology (IT) can not fill the gap alone and are looking to various professionals to help them manage their information.

I believe Library School Graduates have an important opportunity in fill this gap:
  1. Librarians have, as a profession, managed information for hundreds of years. Librarians create processes to successfully access information. This experience and training is still relevant and compliments the tools being created by IT. Library tools like indexing, controlled vocabularies, and facets have a role to play in solving information challenges face by many organizations. Often the skills need to use these tools effectively need to be taught to the users of IT tools. Library School Graduates could  have a part in filling this role.
  2. Information literacy is becoming an indispensable skill. Librarians have taken on the challenge of teaching this skill. As organizations rely more heavily on  knowledge workers it is imperative each knowledge worker has this skill within their domain of expertise. Library School Graduates should be leading the effort to train and mentor these skills.
  3. Librarians have experience and framing that brings a different context for understanding processes. Developing effective information processes is a difficult complex task. There are deep social, political and legal dimensions that must be tackled by any organization. Solutions require information technology, financial, and process components. Good solutions require the expertise of financial experts, software developers, legal experts, and information experts. Library School graduates should be actively participating in solving these challenges.
I believe the Library profession should be growing. I believe there are specific steps we should be taking:
  1. Expand the focus of the job titles we include in the profession. Naomi House maintains a list of keywords for finding library jobs. The list includes a wide variety of key words including Social Media, UX Designer, and Data Management Analyst.I would also encourage people to look at Technical Writing and Business Analyst positions for requirements that match library skills.
  2. Learn the technical languages of other professionals. Almost every organization has its own unique technical language. Being able to communicate effectively to a wide variety of people in terms is imperative.  With this ability you can make the case that your contribution is valuable.

    I first became aware of this when listening to a seminar by Dr. Juran. Dr. Juran was speaking to Quality Engineers about the need to talk to corporate leaders in financial terms so their work would be appreciated. Library graduates need to do the same thing. Learn a little about finances so you can speak to financial professionals. Learn a little about programming so you can speak to software professionals. Take time to understand copyright and intellectual property issues so you can speak with legal professionals.
  3. Learn basic statistics. Statistics are hard. I'm not advocating becoming a statistician. I am advocating getting enough of an understanding of statistics that you are "statistically literate". You should understand and rate any graph or number.  You should know the right questions to ask to rate the value of the information being presented. Think of this skill as statistical information literacy. This skill is invaluable in most organizations and help keep everyone honest.
By taking these kinds of steps, I believe librarians could become invaluable partners in education, government and business. I believe library school graduates have much to offer and will continue to make meaningful contributions for years to come. If the profession of "librarian" becomes irrelevant we will only have ourselves to blame.

1Peter Ducker coined the term "knowledge worker" to denote professionals who functioned independently and created value by using their expertise with an organizations information.
  2Naomi House INALJ (I Need a Library Job) http://inalj.com

Sunday, January 27, 2013

The Best Job Search Engine

Searching for appropriate job postings is like searching for a needle in a pile of steel shavings. All the obvious ways to find the needle won't work. Specialized job search engines purport to help find appropriate postings for job seekers. Generally, search engines measure success by the number of results returned. In my experiences the results are largely not good matches for the individual.

Job search engines have some serious challenges:
  • Job descriptions and requirements do not have standard formats and vocabulary.
  • Job titles are different across companies and industries for comparable skills and functions.
  • Industry is key for some job functions and totally irrelevant for others. (For example, do you really care if your payroll expert has construction experience, or are you satisfied that they have payroll experience working with salaried, hourly, and seasonal employees?)
Success for the job seeker is finding jobs that match their particular skills and interests regardless of the challenges the search engines present. Based on my ability to do that with the search engines the best search engines are:
  1. Dice.com - Dice has three strengths that made it outstanding during my job search:

    • A checkbox to restrict the search to job title only
    • The ability to quickly restrict to a region
    • The ability to filter out old jobs

    These two strengths let me zero in quickly on a half dozen jobs that I was qualified for and interested in. I may have missed jobs that would have been acceptable, but the jobs I was looking at were always dead on. This is much better than wading through 60 or 70 "matches" that weren't even close, to find one might be close.

    I also had a much higher percentage of interviews stemming from postings in Dice than in other job boards/search engines.
  2. USAjobs.gov, Governmentjobs.com, Virginia Jobs - the government websites have two things to recommend them:

    • Relevant jobs appeared at the top of the list
    • It is easy in all of them to restrict the region and government agency

    The government websites still returned too many irrelevant results and sometimes it is difficult to separate the jobs that are restricted to internal people only.
I'm still looking for a job engine that will let you eliminate jobs that require a security clearance by the level and type of clearance. I'm also still looking for standardized job titles, or some way to quickly distinguish between to different jobs that have the same title for example,"business analyst" - a business analyst seems to be either someone with accounting knowledge who determines the health of the business, or someone who writes requirements for software based on a businesses needs and requests. Few people could do both. I would also like to see job search engines drop the notion of "industry". Most jobs are industry independent.

So, next time I'm looking for a job, I'll pass on most search engines. I'll use the few that work for me. I will sill check specialized job lists.