Using Google Tag Manager and Google Analytics, (code{4}lib journal)

Suzanna Conrad, Digital Initiatives Librarian, Cal Poly Pomon

Check Your Expectations: Testing Self Check in a Consortium Environment

In the spring of 2016, the California State University (CSU) System began the process of creating formalized self-check testing procedures for campuses utilizing self-check in anticipation of our switch to Alma in June of 2017. Ten of 23 CSU campuses have self-check machines in service. Each campus presented its own unique challenges for migrating to a new system including various self-check vendors, options on self-check machines, authentication procedures, and usage of automated materials handling systems. Our group of five was tasked with creating standardized goals and procedures for linking our self-check systems to Alma despite myriad configurations. Our goal for this presentation will be to share experiences and provide ideas on how to create formalized testing procedures in a consortial environment. We will discuss how we communicated during the project, documented progress, as well as provide insight into troubleshooting problems that arose during the testing process

Assessing scholarly communication programs

Do you have issues quantifying the success of your scholarly communication programs? Many CSUs not only struggle with how to properly fund and staff scholarly communication programs, but also how to show their value. Sacramento State and San Jose State received an IMLS National Forum grant in 2019 to determine how similar public institutions were assessing their scholarly communication programs. In our multi-phased grant project, we used the University of Central Florida’s Research Lifecycle (https://library.ucf.edu/about/departments/scholarly-communication/overview-research-lifecycle/ ) as a framing document for all the multi-faceted services that scholarly communication encompasses. Within this presentation, we will share an assessment rubric created to measure impact of services to preserve and disseminate research, including repository services. We hope to elicit feedback from the group and gauge interest in implementing similar rubrics at your campus

Building professional development opportunities in data services for academic librarians

Research data management represents a significant professional development area for academic librarians –significant for its growing importance to the profession, since researchers are increasingly expected to comply with research data management requirements, and for the extent of competence needed by librarians to support researchers in research data management practices and plans. This article recounts how the Association of College and Research Libraries is fostering professional development opportunities in research data management. The authors describe two key endeavors: (1) the development and deployment of a needs assessment survey, which allowed insight into the types of librarians expressing the most need; and (2) planning and implementation of a pre-conference workshop for ACRL 2015, intended to prototype a future professional development offering. The article concludes by discussing additional assessment that was done following the workshop and how the pre-conference laid the foundation for proposing a ‘‘roadshow’’ for research data management, similar to what the Association of College and Research Libraries sponsors for scholarly communication

Scholarly Communication Priorities Among M1 Institutions: A Mixed-Methods Study

This program presents the result of an IMLS-funded, mixed-methods study that investigated the scholarly communication programming and staffing priorities among M1 (Master\u27s Colleges and Universities – Larger programs) libraries. Using a complex research life cycle to frame discussion, twenty librarians from M1 institutions participated in focus groups and provided structured information on their libraries\u27 scholarly communication program, development, and staffing. Scholarly communication service and support among M1 institutions continue to grow and develop within the context of limited budgets and staffing. Audience participants will become acquainted with the prevalence of diverse scholarly communication programming and services and their assessment among a sampling of M1 institutions. Qualitativeanalysis of the focus group transcripts highlights the contexts, challenges, and future directions of scholarly communication programming and services among the M1 institutions

What’s new since the April 2013 STIM IR Subcommittee Report to COLD: Hydra, Islandora and Dspace

Aaron Collier, Digital Repository Services Manager, Chancellor’s Office Suzanna Conrad, Digital Initiatives Librarian, Cal Poly Pomona Carmen Mitchell, Institutional Repository Librarian, CSU San Marcos Joan Parker, Librarian, Moss Landing Marine Laboratories Andrew Weiss, Digital Services Librarian, CSU Northridge Jeremy Shellhase, Head of Information Services & Systems Department, Humboldt State Universit

Referral for specialist follow-up and its association with post-discharge mortality among patients with systolic heart failure (from the National Heart Failure Audit for England and Wales)

For patients admitted with worsening heart failure, early follow-up after discharge is recommended. Whether outcomes can be improved when follow-up is done by cardiologists is uncertain. We aimed to determine the association between cardiology follow-up and risk of death for patients with heart failure discharged from hospital. Using data from the National Heart Failure Audit (England & Wales), we investigated the effect of referral to cardiology follow-up on 30-day and one-year mortality in 68 772 patients with heart failure and a reduced left ventricular ejection fraction (HFREF) discharged from 185 hospitals between 2007 to 2013. The primary analyses used instrumental variable analysis complemented by hierarchical logistic and propensity matched models. At the hospital level, rates of referral to cardiologists varied from 6% to 96%. The median odds ratio (OR) for referral to cardiologist was 2.3 (95% confidence interval [CI] 2.1, 2.5), suggesting that, on average, the odds of a patient being referred for cardiologist follow-up after discharge differed approximately 2.3 times from one randomly selected hospital to another one. Based on the proportion of patients (per region) referred for cardiology follow-up, referral for cardiology follow-up was associated with lower 30-day (OR 0.70; CI 0.55, 0.89) and one-year mortality (OR 0.81; CI 0.68, 0.95) compared with no plans for cardiology follow-up (i.e., standard follow-up done by family doctors). Results from hierarchical logistic models and propensity matched models were consistent (30-day mortality OR 0.66; CI 0.61, 0.72 and 0.66; CI 0.58, 0.76 for hierarchical and propensity matched models, respectively). For patients with HFREF admitted to hospital with worsening symptoms, referral to cardiology services for follow-up after discharge is strongly associated with reduced mortality, both early and late

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead