#ERcamp13 at George Washington University

“The law of two feet” by Deb Schultz

This is going to be long and not my usual style of conference notetaking. Because this was an unconference, there really wasn’t much in the way of prepared presentations, except for the lightening talks in the morning. What follows below the jump is what I captured from the conversations, often simply questions posed that were left open for anyone to answer, or at least consider.

Some of the good aspects of the unconference style was the free-form nature of the discussions. We generally stayed on topic, but even when we didn’t, it was about a relevant or important thing that lead to the tangents, so there were still plenty of things to take away. However, this format also requires someone present who is prepared to seed the conversation if it lulls or dies and no one steps in to start a new topic.

Also, if a session is designed to be a conversation around a topic, it will fall flat if it becomes all about one person or the quirks of their own institution. I had to work pretty hard on that one during the session I led, particularly when it seemed that the problem I was hoping to discuss wasn’t an issue for several of the folks present because of how they handle the workflow.

Some of the best conversations I had were during the gathering/breakfast time as well as lunch, lending even more to the unconference ethos of learning from each other as peers.

Anyway, here are my notes.

Continue reading “#ERcamp13 at George Washington University”

NASIG 2012: A Model for Electronic Resources Assessment

Presenter: Sarah Sutton, Texas A&M University-Corpus Christi

Began the model with the trigger event — a resource comes up for renewal. Then she began looking at what information is needed to make the decision.

For A&I databases, the primary data pieces are the searches and sessions from the COUNTER release 3 reports. For full-text resources, the primary data pieces are the full-text downloads also from the COUNTER reports. In addition to COUNTER and other publisher supplied usage data, she looks at local data points. Link-outs from the a-to-z list of databases tells her what resources her users are consciously choosing to use, and not necessarily something they arrive at via a discovery service or Google. She’s able to pull this from the content management system they use.

Once the data has been collected, it can be compared to the baseline. She created a spreadsheet listing all of the resources, with a column each for searches, sessions, downloads, and link-outs. The baseline set of core resources was based on a combination of high link-outs and high usage. These were grouped by similar numbers/type of resource. Next, she calculated the cost/use for each of the four use types, as well as the percentage of change in use over time.

After the baseline is established, she compares the renewing resource to that baseline. This isn’t always a yes or no answer, but more of a yes or maybe answer. Often more analysis is needed if it is tending towards no. More data may include overlap analysis (unique to your library collection), citation lists (unique titles — compare them with a list of highly-cited journals at your institution or faculty requests or appear on a core title list), journal-level usage of the unique titles, and impact factors of the unique titles.

Audience question: What about qualitative data? Talk to your users. Does not have a suggestion for how to incorporate that into the model without increasing the length of time in the review process.

Audience question: How much staff time does this take? Most of the work is in setting up the baseline. The rest depends on how much additional investigation is needed.

[I had several conversations with folks after this session who expressed concern with the method used for determining the baseline. Namely, that it excludes A&I resources and assumes that usage data is accurate. I would caution anyone from wholesale adopting this as the only method of determining renewals. Without conversation and relationships with faculty/departments, we may not truly understand what the numbers are telling us.]

ER&L 2012: Knockdown/Dragout Webscale Discovery Service vs. Niche Databases — Data-Driven Evaluation Methods

tug-of-war
photo by TheGiantVermin

Speaker: Anne Prestamo

You will not hear the magic rational that will allow you to cancel all your A&I databases. The last three years of analysis at her institution has resulted in only two cancelations.

Background: she was a science librarian before becoming an administrator, and has a great appreciation for A&I searching.

Scenario: a subject-specific database with low use had been accessed on a per-search basis, but going forward it would be sole-sourced and subscription based. Given that, their cost per search was going to increase significantly. They wanted to know if Summon would provide a significant enough overlap to replace the database.

Arguments: it’s key to the discipline, specialized search functionality, unique indexing, etc… but there’s no data to support how these unique features are being used. Subject searches in the catalog were only 5% of what was being done, and most of them came from staff computers. So, are our users actually using the controlled vocabularies of these specialized databases. Finally, librarians think they just need to promote these more, but sadly, that ship’s already sailed.

Beyond usage data, you can also look at overlap with your discovery service, and also identify unique titles. For those, you’ll need to consider local holdings, ILL data, impact factors, language, format, and publication history.

Once they did all of that, they found that 92% of the titles were indexed in their discovery service. The depth of the backfile may be an issue, depending on the subject area. Also, you may need to look at the level of indexing (cover to cover vs. selective). In the end, they found that 8% of the titles not included, they owned most of them in print and they were rather old. 15% of the 8% had impact factors, which may or may not be relevant, but it is something to consider. And, most of the titles were non-English. They also found that there were no ILL requests for the non-owned unique titles, and less than half were scholarly and currently being published.

NASIG 2010: Linked Data and Libraries

Presenter: Eric Miller, Zepheira, LCC

Nowadays, we understand what the web is and the impact it has had on information sharing, but before it was developed, it was in a “vague but exciting” stage and few understood it. When we got started with the web, we really didn’t know what we were doing, but more importantly, the web was being developed so that it was flexible enough for smarter and more creative people to do amazing things.

“What did your website look like when you were in the fourth grade?” Kids are growing up with the web and it’s hard for them to comprehend life without it. [Dang, I’m old.]

This talk will be about linked data, its legacy, and how libraries can lead linked data. We have a huge opportunity to weave libraries into the fabric of libraries, and vice versa.

About five years ago, the BBC started making their content available in a service that allowed others to use and remix the delivery of the content in new ways. Rather than developing alternative platforms and creating new spaces, they focus on generating good content and letting someone else frame it. Other sources like NPR, the World Bank, and Data.gov are doing the same sorts of things. Within the library community, these things are happening, as well. OCLC’s APIs are getting easier to use, and several national libraries are putting their OPACs on the web with APIs.

Obama’s open government initiative is another one of those “vague but exciting” things, and it charged agencies to come up with their own methods of making their content available via the web. Agencies are now struggling with the same issues and desires that libraries have been tackling for years. We need to recognize our potential role in moving this forward.

Linked data is a best practice for sharing data, connecting data, and uses the semantic web. Rather than leaving the data in their current formats, let’s put them together in ways they can be used on the wider web. It’s not the databases that make the web possible, it’s the web that makes the databases usable.

Human computation can be put to use in ways that assist computers to make information more usable. Captcha systems are great for blocking automated programs when needed, and by using human computation to decipher scanned text that is undecipherable by computers, ReCaptcha has been able to turn unusable data into a fantastic digital repository of old documents.

LEGOs have been around for decades, and their simple design ensures that new blocks work with old blocks. Most kids end up dumping all of their sets into one bucket, so no matter where the individual building blocks come from, they can be put together and rebuild in any way you can imagine. We could do this with our blocks of data, if they are designed well enough to fit together universally.

Our current applications, for the most part, are not designed to allow for the portability of data. We need to rethink application design so that the data becomes more portable. Web applications have, by neccesity, had to have some amount of portability. Users are becoming more empowered to use the data provided to them in their own way, and if they don’t get that from your service/product, then they go elsewhere.

Digital preservation repositories are discussing ways to open up their data so that users can remix and mashup data to meet their needs. This requires new ways of archiving, cataloging, and supplying the content. Allow users to select the facets of the data that they are interested in. Provide options for visualizing the raw data in a systematic way.

Linked data platforms create identifiers for every aspect of the data they contain, and these are the primary keys that join data together. Other content that is created can be combined to enhance the data generated by agencies and libraries, but we don’t share the identifiers well enough to allow others to properly link their content.

Web architecture starts with web identifiers. We can use URLs to identify things other than just documents, but we need to be consistent and we can’t change the URL structures if we want it to be persistent. A lack of trust in identifiers is slowing down linked data. Libraries have the opportunity to leverage our trust and data to provide control points and best practices for identifier curation.

A lot of work is happening in W3C. Libraries should be more involved in the conversation.

Enable human computation by providing the necessary identifiers back to data. Empower your users to use your data, and build a community around it. Don’t worry about creating the best system — wrap and expose your data using the web as a platform.