***Please excuse cross-posting***

Please join the ALCTS Technical Services Workflow Efficiency Interest Group
(TSWEIG) at the 2019 ALA Midwinter in Seattle, WA.

Date and time: January 28, 2019 (Monday), 1:00-2:00 PM

Location: Washington State Convention Center, Room 2A

Adapting Training Within Industry (TWI) model for technical services staff

By Sofia Slutskaya, Metadata Strategist, Georgia Tech Library

As a part of a multi-year Library Next project, Georgia Tech library has
transformed its technical services department to include all “behind the
scenes” functions from patron management, archival collections digitization
to cataloging, acquisitions, and e-resource management. This transformation
involved defining basic and advanced tasks, as well as the required skills
for each area, mapping workflows and identifying efficiencies, creating
standard work documentation, and engaging in intense class-room training
coupled with on-the-job practice under the direction of a subject matter
expert. Georgia Tech library was inspired by the Training within Industry
(TWI) model of organizing training and cross-training technical services
staff to perform new functions. TWI relies heavily on improving
productivity by creating job instructions, involving skilled workers in
deliver training, and “learning by doing.” This presentation will discuss
successes and shortcoming of this project. Georgia Tech’s experience will
be useful to any library that is engaged in re-thinking its technical
services department, considering cross-training staff for multiple
positions, or planning to seek models for change outside of the traditional
library methodologies.

Reclaim Your Reclamation: A DIY Approach to Holdings Synchronization in

By Erica Findley & Paul Lightcap, Multnomah County Library

This session describes and demonstrates how to complete a no-cost
reclamation with OCLC using WorldShare Collection Manager, MarcEdit and
OpenRefine, which sufficiently scales to be able to complete on a monthly
basis with only an hour or two of staff time. This method empowers
individual organizations to complete what once were costly and
time-intensive projects with minimal staff time and no financial cost
(beyond a library's OCLC subscription). Whether useful as a one-time
project, such as before an ILS migration, or as an ongoing holdings
synchronization that fits within a larger cataloging strategy including
holdings maintenance, record merges, and record updates, this DIY approach
applies the logic and straight-forward technical solutions used for tasks
like title list comparisons to the challenge of catalog and holdings

Linked Open Data Production and Publishing Workflow at the University of
Washington Libraries

By Theodore Gerontakos, Crystal Clements, Ben Riesenberg, University of
Washington Libraries

Repurposing existing digital collections metadata as static linked open
data can be performed as a staff collaboration, but often staff members are
not prepared. If available, a person knowledgeable in linked data can
recruit a team and, as necessary, team members can learn on-the-fly.
Face-to-face meetings can be an efficient way to select data models, make
implementation decisions, and forge a successful workflow.

At the project’s outset a central focus is creating a map from the original
data model to the target data model. Data is then exported and cleaned to
optimize processability, after which scripts are written to convert the
data as modeled. Application of data models is an iterative process and is
often inaccurate at first, especially if the team is new to linked data.
After the model is sufficiently complete and the scripts are run, multiple
RDF serializations are produced. Before the datasets are published, staff
need to clean the new data, for example performing identity management, and
links to external datasets should be produced. Methods for producing the
links can be challenging, but these enrichments are essential for all
linked data endeavors, and several tools can be used.

Data can then be posted on a web server. When publishing static linked
data, the central serialization can be HTML+RDFa, serving as a landing page
for all versions of the data. This landing page can be assigned a
persistent identifier and further processed and analyzed to optimize its
visibility on the web. Additional tests should be performed following
publishing, which can prompt additional changes. These changes can be
incorporated into a finalized version of a local workflow intended for


Sent on behalf of TJ and Gina, TSWEIG Co-Chairs

TJ Kao Continuing Resources Metadata Professional | Interim Resource
Description Coordinator Resource Description Group | GW Libraries &
Academic Innovation | Gelman Library 104G [log in to unmask] | 202-994-1328 |
ORCID ID: Gina Solares Head of
Cataloging and Metadata Management Gleeson Library | Geschke Center,
University of San Francisco (415) 422-5361 | [log in to unmask]