Malware, Phishing, Hacking, Ransomware – oh my! Learn about the threats to you, your users and your library. During this session, we will explore the threats to online security and discuss solutions that can be implemented at any level. Most importantly, we will look at how we can educate our users on current threats and safety
PALS is housed in Mankato, 40+ years, shared by all MnSCU institutions. smaller libraries with smaller staff benefit.
Funding: Centrally from the Chancellor Office and privately.
Ex Libris. Alma (management software) discovery software is Primo. Implementation from Sept 2017 to 2019
value-added services? A value–added service (VAS) is a popular telecommunications industry term for non-coreservices, or, in short, all services beyond standard voice calls and fax transmissions. However, it can be used in any service industry, for services available at little or no cost, to promote their primary business.
one search point; phys + electr; integrated into central system; academic resources available in central index; analytics and reporting; library consortia
EZ Proxy – provides access to library resources off campus
Islandora – open source digital asset management solution tha preserves, manages, and provide access to docs, unique history (photos, publications); research, other resources
Islandora is considered for OER, link to course materials through D2L
Leganto – expensive ExLibris for D2L integration
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Thurs, Nov 30 – continuation from Tues, Nov 28
Islandora. open source digital assessment tool. STCC is using Islandora
Primo is the discovery tool for campus only w subscription. PALS does not fund Primo. PALS does it through state-wide dbases.
ILL of electronic resources among campuses; the new system is making it easier.
your comments about the new system making electronic resources more available : does it mean that I will not have to go through my campus ILL persona can “borrow” directly? or it is too optimistic to expect that?
Stephen Kelly: Tim Anderson has shared with me some thoughts on how Islandora can assist with archiving Open Educational Resources (OERs), but could you comment further on that for the benefit of everyone on the call? Answer: safe place to save OER. Drupal-based front end. Customizable. What is the connection to Primo
Stephen Kelly: Could it facilitate easier sharing of resources between institutions? For instance, if an OER was created at one institution and uploaded to Islandora, could it easily be populated for every other institution to access the materials as well?
Piggybacking on Stephen Kelly: are the account permissions similar to the average social media tool, where faculty can decide how “wide” the permission of h/er OER product is? E.g. a blog or YouTube / Kaltura can have: private / unlisted / public levels. Does Islandora function the same?
Gary Hunter. copyright. movies, public performance rights, youtube videos. up
the compliance of the terms of service of the web site. Contract law. copyright law. system procedure – copyright clearance, clearing the copyright means using it without violating the copyright law.
clearing copyright:
determine if materials are or are not protected
use your own original materials
perform fair use analysis with fair use checklist to usitify use
use in compliance with sections 110 (1) & (2) of copyright act
use materials avaialble through an open or CC license
get permission (letter, email, subscription, license, etc.)
fair use >> . transformation: 1. add / subtract from original 2. use for different purpose; >> parody songs – using enough of music and words to recognize the song, but not enough to it to be copyright infrigement. memes.
students’ use of copyrighted works. students may: use the entire copyrighted work but not publish openly
copyright act #110 (1) applies to F2F teaching.
copyright act #110 (2) applies to Hybrid/Online teaching. exception one digital copy can made and uploaded on D2L. reasonable and limited portions of dramatic musical or audiovisual works
if people identifiable ask them to sign a media release form
plagiarism v copyright infringement.
Creative Commons (CC). search engine for content available through cc licenses. https://creativecommons.org/ CC BY – attribution needed; CC BY-SA may remix, tweak CC BY-ND can redistribute, but not alter CC BY-NC for non profit. CC BY-NC-SA
copyright questions
book chapters: one is a rule of thumb
PDF versions of the eassays textbook acceptable, if the students purchased it
music performance licenses: usually cover – educational activities on campus; ed activities at off-campus locations that are outreach
This 90 minute webinar will bring participants up to speed on the current state of altmetrics, and focus in on changes across the scholarly ecosystem. Through sharing of use cases, tips, and open discussion, this session will help participants to develop a nuanced, strategic framework for incorporating and promoting wider adoption of altmetrics throughout the research lifecycle at their institution and beyond.
Definition by National Information Standards Organization NISO (http://www.niso.org/home/): Altmetrics is a broad term that encapsulates the digital collection, creation, and use of multiple forms of assessment that are derived from activity and engagement among diverse stakeholders and scholarly outputs in the research ecosystem.”
Altmetrics are data that help us understand how often and by whom research objects are discussed, shared, and used on the social Web.”
Topic: Booklist Webinar—Relevant, Relatable Reference Services in Your Library
Host: Booklist Online
Date and Time: Thursday, November 2, 2017 1:00 pm, Central Daylight Time (Chicago, GMT-05:00) Event number: 666 208 689 Registration ID: This event does not require a registration ID Event password: This event does not require a password.
1920 phone service arrives in the library, after decades of phone being around.
1969 William Katz redefines reference.
information as commodity. Faster/cheaper/better. Help doing things rather than finding things (Kenney)
the goal is not getting people to use the library services; it is helping library users accomplish something
not collections, but services.
the reference interaction : approachability; interest; listening/inquiring;
What can I help with; How can I help you? “I’d be happy to help you with that”
marketing is more then promotion. it is figuring out what the market wants you to do. define the market. how do you serve them. then one can figure out the service.
patrons: how and why patrons are seeking info; go where patrons go (social media). where do we go to help them (Snapchat). find benchmarks, make connections. Divine discontentment. my note: but this is a blasphemy, it is against MN nice!
how do we market ourselves? ROI or not? monetary formula to determine the profit against the investment. non profit institutions are not designed to make a profit; sometimes it is useful, sometimes not. Presenting data is good, but keep it simple
organized in partnership with Heather Moorefield-Lang, who will serve as moderator for the opening panel and as the closing keynote speaker: “There has been a lot of talk about makerspaces in libraries over the past four years. If you are unsure what makerspaces are, think of them as creative locations for tinkering, collaborating, problem solving, and creating in a library or educational space. No matter how many maker learning spaces you may visit, you will quickly notice no two are the same. Each librarian and makerspace delivers their own brand of service to their individual community. Attendees will investigate how librarians with makerspaces can create new partnerships and collaborative efforts in and with their communities, offering further services and methods to meet patron needs.”
Joining Heather for the opening hour will be: Dr. June Abbas, PhD, a Professor in the School of Library and Information Studies (SLIS) at the University of Oklahoma, Norman campus; Leanne Bowler, Associate Professor at the University of Pittsburgh; Kristin Fontichiaro, clinical associate professor at the University of Michigan School Information; Kyungwon Koh, assistant professor at the University of Oklahoma School of Library and Information Studies.
metadata: counts of papers by yer, researcher, institution, province, region and country. scientific fields subfields
metadata in one-credit course as a topic:
publisher – suppliers =- Elsevier processes – Scopus Data
h-index: The h-index is an author-level metric that attempts to measure both the productivity and citation impact of the publications of a scientist or scholar. The index is based on the set of the scientist’s most cited papers and the number of citations that they have received in other publications.
The era of e-science demands new skill sets and competencies of researchers to ensure their work is accessible, discoverable and reusable. Librarians are naturally positioned to assist in this education as part of their liaison and information literacy services.
Research data literacy and the library
Christian Lauersen, University of Copenhagen; Sarah Wright, Cornell University; Anita de Waard, Elsevier
Data Literacy: access, assess, manipulate, summarize and present data
Statistical Literacy: think critically about basic stats in everyday media
Information Literacy: think critically about concepts; read, interpret, evaluate information
data information literacy: the ability to use, understand and manage data. the skills needed through the whole data life cycle.
Shield, Milo. “Information literacy, statistical literacy and data literacy.” I ASSIST Quarterly 28. 2/3 (2004): 6-11.
Carlson, J., Fosmire, M., Miller, C. C., & Nelson, M. S. (2011). Determining data information literacy needs: A study of students and research faculty. Portal: Libraries & the Academy, 11(2), 629-657.
embedded librarianship,
Courses developed: NTRESS 6600 research data management seminar. six sessions, one-credit mini course
NEW ROLESFOR LIbRARIANS: DATAMANAgEMENTAND CURATION
the capacity to manage and curate research data has not kept pace with the ability to produce them (Hey & Hey, 2006). In recognition of this gap, the NSF and other funding agencies are now mandating that every grant proposal must include a DMP (NSF, 2010). These mandates highlight the benefits of producing well-described data that can be shared, understood, and reused by oth-ers, but they generally offer little in the way of guidance or instruction on how to address the inherent issues and challenges researchers face in complying. Even with increasing expecta-tions from funding agencies and research com-munities, such as the announcement by the White House for all federal funding agencies to better share research data (Holdren, 2013), the lack of data curation services tailored for the “small sciences,” the single investigators or small labs that typically comprise science prac-tice at universities, has been identified as a bar-rier in making research data more widely avail-able (Cragin, Palmer, Carlson, & Witt, 2010).Academic libraries, which support the re-search and teaching activities of their home institutions, are recognizing the need to de-velop services and resources in support of the evolving demands of the information age. The curation of research data is an area that librar-ians are well suited to address, and a num-ber of academic libraries are taking action to build capacity in this area (Soehner, Steeves, & Ward, 2010)
REIMAgININg AN ExISTINg ROLEOF LIbRARIANS: TEAChINg INFORMATION LITERACY SkILLS
By combining the use-based standards of information literacy with skill development across the whole data life cycle, we sought to support the practices of science by develop-ing a DIL curriculum and providing training for higher education students and research-ers. We increased ca-pacity and enabled comparative work by involving several insti-tutions in developing instruction in DIL. Finally, we grounded the instruction in the real-world needs as articu-lated by active researchers and their students from a variety of fields
Chapter 1 The development of the 12 DIL competencies is explained, and a brief compari-son is performed between DIL and information literacy, as defined by the 2000 ACRL standards.
chapter 2 thinking and approaches toward engaging researchers and students with the 12 competencies, a re-view of the literature on a variety of educational approaches to teaching data management and curation to students, and an articulation of our key assumptions in forming the DIL project.
chapter 4 because these lon-gitudinal data cannot be reproduced, acquiring the skills necessary to work with databases and to handle data entry was described as essential. Interventions took place in a classroom set-ting through a spring 2013 semester one-credit course entitled Managing Data to Facilitate Your Research taught by this DIL team.
chapter 5 embedded librar-ian approach of working with the teaching as-sistants (TAs) to develop tools and resources to teach undergraduate students data management skills as a part of their EPICS experience.
Lack of organization and documentation presents a bar-rier to (a) successfully transferring code to new students who will continue its development, (b) delivering code and other project outputs to the community client, and (c) the center ad-ministration’s ability to understand and evalu-ate the impact on student learning.
skill sessions to deliver instruction to team lead-ers, crafted a rubric for measuring the quality of documenting code and other data, served as critics in student design reviews, and attended student lab sessions to observe and consult on student work
chapter 6 Although the faculty researcher had created formal policies on data management practices for his lab, this case study demonstrated that students’ adherence to these guidelines was limited at best. Similar patterns arose in discus-sions concerning the quality of metadata. This case study addressed a situation in which stu-dents are at least somewhat aware of the need to manage their data;
chapter 7 University of Minnesota team to design and implement a hybrid course to teach DIL com-petencies to graduate students in civil engi-neering.
stu-dents’ abilities to understand and track issues affecting the quality of the data, the transfer of data from their custody to the custody of the lab upon graduation, and the steps neces-sary to maintain the value and utility of the data over time.
Please join me September 20 for a free webinar where Dr. Sheryl Abshire, CTO of Calcasieu Parish SD and a recognized leader in K-12 technology, shares her insights on the top strategies, best practices and most valuable ideas that can reduce IT departmental costs and increase efficiencies.
What: New Ways to Measure & Leverage the Value of IT When: 09/20 @ 2:00 PM ET | 11:00 AM PT
Listen in and learn how to:
· Use data you already collect to justify needs and resources
· Create a new value proposition for IT
· Measure the strategic use of IT in the district
· Determine if your current technology is making the difference you expected
https://www.schooldude.com/ Tech support costs in K12 increased by 50% in the last four years from 14% to 21% of the technology budget. One half of the school technology leaders said that their school board understands that technology relates to district oveall goals , it is not as supportive financially. Worse, 8% felt that the school board does not believe technology is important to their district overall goals
Harvard Business Report Driving Digital Transformation. 2015 surveyed digital leaders. Driving innovation most important role breaking down internal silos
virtualization; data deluge; energy and green IT; complex resource tracking; consumerization and social software; unified communications; mobile and wireless; system density; mashups and portals; cloud computing
what is a quick recovery?
Action plan: 1. Focus on virtualization and green IT for immediate cost and flexibility benefits. 2. Look at storage virtualization, deduplication and thin provisioning. 3. Evaluate web social software to transform interactions 4. exploit mashups and cloud-based services to address immediate user needs. 5. link UC to collaboration and enterprise applications to support growth initiatives. 6. begin to track weak signals and subtle patterns – from everywhere.
managing upkeep and replacement of growing number of devices
time
perception gap (what we are doing)
tool: Insight
agentless network discovery mechanism. scanning of devices on the network. optimize hard software usage, improve planning and budgeting process with status reporting.
MDM (mobile device management). supports both BYOD and school devices. control app distribution across the network, supervise device usage, remotely manage device policy
Helpdesk: complete ticket to close helpdesk solution
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Q&A time
technology facilitators: spend time at assigned schools; talk to teacher and try to figure out what teachers know about technology and then work the principal to customize workshops (PLCs) to build the skills based on their skills set. versus technology facilitator at every school. Help them grow their own.
