this why metadata was entered in the post-processed MP4 file using the VLC player
export
H.264 . / iPAD 480p 29.9 fps
Shortcuts:
If you are using Premiere CC: 1. File/New/Sequence. 2. Ctrl M is the shortcut to export (M is for media)
Issues
the two Apple/Macs will deliver error messages with both the export to the MP4 format and for burning the CDs and DVDs.
e.g.
other issues
regular restart required for new capture
error messages e.g.
other issues:
audio. Audio synchronization during the digitization is off. Solution: possible solution is the last of this thread : https://forums.adobe.com/thread/2217377
open in in QT Pro copy an segment then past it into a new QT file and save. It then plays normally in Adobe products.
old Apple desktops. needed to be rebuild and reformatted.
Apple burner issues. issues with Premiere license (bigger organization, bigger bureaucracy – keep the licenses within the library, not with IT or the business department)
old VCRs – one of the VCRs was recording bad audio signal
old VHS tapes: the signal jump makes the digital recording stop, thus requiring a constant attendance of the digitization, instead of letting it be digitized and working on something else
the person who is uploading the digitized VHS movies can “Add Collaborator”
The collaborator can be “co-editor” and / or “co-publisher”
Thus, at the moment, Tom Hegert has been designated to a digitized VHS video as Co-:Publisher and Rhonda Huisman as “Co-Editor.”
Please DO log in into MediaSpace with your STAR ID and confirm that you can locate the video and you can, respectively edit its metadata.
If you can edit the video, this means that the proposed system will work, since the Library can follow the same pattern to “distribute” the videos to the instructors, who these videos are used by; and, respectively these instructors can further control the distribution of the videos in their classes.
issues:
sharing the videos from the generic Library account for MediaSpace to the MediaSPace account of the faculty who had requested the digitization either through sending the link to the video or publish in channel (we called our channel “digitized VHS”)
issue: ripping off content from DVD.
Faculty (mostly teaching online / hybrid courses) want to place teaching material from DVD to MediaSpace. Most DVDs are DRM protected.
Handbreak (https://handbrake.fr/) does not allow ripping DRM-ed DVDs. to bypass this Handbreak issue, we use DVD Decrypter before we run the file through Handbreak
Solutions:
From: “Lanska, Jeremiah K” <Jeremiah.Lanska@ridgewater.edu> Date: Tuesday, September 11, 2018 at 10:03 AM
I use a software on a MAC called MacX DVD Video Converter Pro. https://www.macxdvd.com/
I convert videos to MP4 with this and it just works for just about any DVD. Then upload them to MediaSpace.
From: “Docken, Marti L” <Marti.Docken@saintpaul.edu> Date: Tuesday, September 11, 2018 at 8:17 AM
Good morning Plamen. Here at Saint Paul College, we are asked to get permission from owner when we are looking at making any alterations to a video, tape, etc. This is true of adding closed captioning as well. The attached are forms given by Minnesota State which they may have an updated form.
Thank you and have a wonderful day.
Marti Docken Instructional Technology Specialist 651.846.1339 marti.docken@saintpaul.edu
From: Geri Wilson Sent: Friday, September 14, 2018 3:23 PM
What I do with DVDs is give a warning to the faculty that the MediaSpace link with the captions I’ve created should not be widely shared and should be treated as if it were still a DVD that can be shown in the classroom, but not posted on D2L. Because even if we use those forms, I don’t believe it gives us the right to use the video in a broader way. However, a safer approach might be to burn a new DVD with captions, so that it’s still in the same format that can’t be misused as easily.
Just my 2 cents. Geri
From: “Hunter, Gary B” <Gary.Hunter@minnstate.edu> Date: Friday, September 14, 2018 at 2:55 PM To: Plamen Miltenoff_old <pmiltenoff@stcloudstate.edu> Subject: RE: Process of ripping DVD video to mount it on MediaSpace
I’ll assume the contents of the DVDs are movies/films unless I hear otherwise from you. There’s a lot we need to consider from a copyright perspective. Let me know a day and time that we can touch base via a phone call. Next week my schedule is flexible, so let me know what day and time work for you. Until we speak, here’s some of the information related to making copies of copyrighted works for nonprofit teaching purposes.
There are two sections of the Copyright Act that authorize “copying” of copyrighted works for nonprofit educational purposes. It doesn’t matter if the copyrighted works are being copied from DVDs, CDs, flash drives, a computer’s hard drive, etc., the same sections of the Copyright Act apply.
Section 110(2), also known as the TEACH Act, allows nonprofit educational institutions to make a digital copy of a nondramatic copyrighted work and save it to a server for online and hybrid teaching. I have a TEACH Act checklist on the IP Tools & Forms webpage at http://www.minnstate.edu/system/asa/academicaffairs/policy/copyright/forms.html. The checklist identifies the few things that may not be copied under this section of the Copyright Act. If an instructor meets the various requirements on the checklist, than you can make a digital copy of the entire nondramatic copyrighted work and save it to MediaSpace. For nondramatic works, all MinnState instructors should be able to complete the TEACH Act checklist successfully, so I wouldn’t request a completed checklist from them.
Under the TEACH Act, nonprofit educational institutions are only permitted to make a digital copy of reasonable and limited portions of dramatic copyrighted works. Movies and films are usually dramatic works. Most people in higher education interpret “reasonable and limited portions” to mean something less than the whole and not the entire movie/film. There are several guidance documents on the TEACH Act on the IP Tools & Forms webpage that go into greater detail as to what is reasonable and limited portions. Unfortunately, this section only authorizes the copying of part of the movie/film and not the entire thing.
Section 107 Fair Use of the Copyright Act is the second section that permits copying of copyrighted works for nonprofit educational purposes. Fair Use is used more than any other section to make copies of copyrighted works for nonprofit educational purposes. An instructor needs to complete a fair Use Checklist showing the proposed copying is authorized by fair use. An instructor who completes a Fair Use Checklist that ends up being 50/50 or more in support of fair use for their proposed copying of a copyrighted work, should be able to make the digital copy. Fair Use has some nuances in it for unique situations. Let’s set up a phone call to further discuss them. There is also a flow chart that may helpful at http://www.minnstate.edu/system/asa/academicaffairs/policy/copyright/docs/Flow%20Chart-Using%20video%20in%20Online%20-%20D2L%20Courses.pdf.
We also have to consider whether or not the movies/films were purchased with “personal use” rights or “public performance” rights. Or if an educational license or some similar type of license gives us permission to make copies or publicly perform the movie/film. More layers of the onion that need peeled back to address the copyright concerns.
++++++++++++++
Issue: confidentiality
All digitized material is backedup on DVDs, whether faculty wants a DVD or not.
Some video content is confidential (e.g. interviews with patients) and faculty does not want any extra copies, but the DVD submitted to them. How do we archive / do we archive the content then?
Burning (Archiving)
where to store the burned DVDs? their shelf life is 12 years.
DVD’s must be labeled with soft tip perm marker, not labels. labels glue ages quickly.
all our desktops are outdated (5+ years and older). We used two Apple/Macs. OS El Captain, Version 10.11.6, 2.5 Gxz Intel Core i5. 8GB memory, 1333 MHz DDR3, Graphic Card AMD Radeon HD 6750 MD 512 MB
Question about the process of archiving the CDs and DVDs after burning. What is the best way to archive the digitized material? Store the CD and DVDs? Keep them in the “cloud?”
Question about the management of working files: 1. Premiere digitizes the original hi-quality file in .mov format and it is in GB. The export is in .mp4 format and it is in MB. Is it worth to store the GB-size .mov format and for how long, considering that the working station has a limited HDD of 200GB
we decided to export two types of files using Adobe Premiere: a) a low end .MP4 file about several hundred megabites, which respectively is uploaded in SCSU Media Space (AKA Kaltura) and b) one high-end (better quality) one the realm of several GBs, which was the archived copy
We placed a request for two 2TB HDD with the library dean and 10TB file space with the SCSU IT department. Idea being to have the files for MediaSpace readily available on the hardrives, if we have to make them available to faculty and the high-end files being stored on the SCSU file server.
++++++++++++++++++
Nov. 2019: transfer of accounts. The generic SCSULibraryVideo account is discontinued because of the August 2019 transition to the minnstate.edu. Agreed to host the accumulated digitized videos under the private account of one of the team members, who will be assigning the other members and the requesting faculty as co-editors.
++++++++++++++++++
2. correspondence among Greg J, Tom H and Plamen
email correspondence Greg, Tom, Plamen regarding Kaltura account:
From: Greg <gsjorgensen@stcloudstate.edu> Date: Friday, November 17, 2017 at 11:32 AM To: Plamen Miltenoff <pmiltenoff@stcloudstate.edu> Subject: RE: Question Kaltura
Plamen,
Channels are not required using this workflow. Just the collaboration change.
–g–
From: Miltenoff, Plamen Sent: Friday, November 17, 2017 11:31 AM To: Jorgensen, Greg S. <gsjorgensen@stcloudstate.edu>; Hergert, Thomas R. <trhergert@stcloudstate.edu> Subject: Question Kaltura
Greg,
About the channel:
Do I create one channel (videos)?
It seems to be a better idea to create separate channels for each of faculty, who’s videotapes are digitized.
******* any user you wish to collaborate with, will need to first sign in to mediaspace in order to provision their account.**** After they have signed in, you will be able to add them as collaborator.
Once they’ve been added, they will have access to the video in their MedisSpace account.
Like so:
From the My Media area:
Click ‘Filters’:
Then choose either media I can publish, or media I can edit:
If you want to simply change ownership to the requestor (for video available only to a single person), just choose change media owner on the collaboration tab.
The process above will allow for any number of collaborators, in a fashion similar to ‘on reserve’.
–g–
From: Miltenoff, Plamen Sent: Friday, November 17, 2017 11:19 AM To: Jorgensen, Greg S. <gsjorgensen@stcloudstate.edu>; Hergert, Thomas R. <trhergert@stcloudstate.edu> Subject: FW: Supplemental Account Request Status
Tom,
I submitted the request to Greg with the “SCSULibraryVideo” name
Greg, I submitted, Tom, Rachel W and Rhonda H (and you) as “owners.”
Pls, if possible, do not assigned to Tom ownership rights yet and add him later on.
I also received your approval, so I am starting to work on it
This message confirms your request for a new Supplemental Account with the requested username of SCSULibraryVideo. Please allow 2-3 business days for processing. You will be notified by email when your request is approved or denied. You may also check the status of your request by returning to the Supplemental Accounts Maintenance site.
Thank you for your request and please contact us with questions or concerns.
Once you’ve done that, just let me know the name of the account. (LibraryVideoDrop, SCSULibraryVideo, etc….)
I’ll then add it to the Mediaspace access list.
If there’s already an account to which you have access, we can use that, too. Remember, though, credentials will be shared at least between the two of you.
Well, that is a good question. Do we need a “STAR ID” type of account for the library?
If so, who will be the person to talk to. After Diane Schmitt, I do not know who to ask
Tom, can you ask the library dean’s office for any “generic” account?
Greg, for the time being, is it possible to have me as the “owner” of that account? Would that conflict with my current Kaltura account/content?
Can I participate for this project with my student account (as you helpled me several weeks ago restore it for D2L usage)?
Yes, except that there may be needs for multiple faculty to access the files. Think of it as analogous to DVDs on reserve or even in the general collection.
I think we’re hoping for an account from which we can share Library resources such as the digitized versions of VHS tapes that Plamen and I are creating. As I understand it, a closed channel is probably not the best answer. We need a common repository that can have open access to SCSU Kaltura users.
A single account can’t really be shared in the way you’re asking, but we can easily add a dept. supplemental account to Mediaspace. I just need the name of the account.
Depending on what you intend, maybe a closed channel? Create a closed channel and add individuals as needed?
Can you help me create a MediaSpace account for the library use.
How can it be tight up to the STAR ID login specifications?
Is it possible, let’s say Tom and I to use our STAR ID to login into such account?
Any info is welcome…
Plamen
++++++++++++
3. correspondence on the LITA listserv regarding “best practices for in house digital conversion”
From: <lita-l-request@lists.ala.org> on behalf of Sharona Ginsberg <lita-l@lists.ala.org> Reply-To: “lita-l@lists.ala.org” <lita-l@lists.ala.org> Date: Tuesday, November 21, 2017 at 10:07 AM To: “lita-l@lists.ala.org” <lita-l@lists.ala.org> Subject: Re: [lita-l] best practices for in house digital conversion
I’m at an academic rather than public library, but you can see what we offer for digital conversion here: https://www.oswego.edu/library/digital-conversion. We’ve been generally happy with our equipment, and I especially think the Elgato Video Capture device (VHS to digital) is a good tool.
– Sharona
From: <lita-l-request@lists.ala.org> on behalf of Molly Schwartz <mschwartz@metro.org> Reply-To: “lita-l@lists.ala.org” <lita-l@lists.ala.org> Date: Tuesday, November 21, 2017 at 10:03 AM To: “lita-l@lists.ala.org” <lita-l@lists.ala.org> Subject: Re: [lita-l] best practices for in house digital conversion
I would also definitely recommend DCPL’s Memory Lab and the project to build a Memory Lab Network, which is more applicable to public libraries.
best,
Molly
On Tue, Nov 21, 2017 at 10:49 AM, Stewart Wilson <SWilson@onlib.org> wrote:
Hi all,
I know there is a lot of information already out here, but is anyone up for a conversation about media conversion technologies for public library patrons?
I’m interested in best practices and recommended technologies or guides that you use in your system.
Anything that converts projector slides, 35mm, VHS, photographs, cassette, etc.
We are building a new PC for this and 3D rendering, so any recommendations for things like soundcards or video capture cards are also useful.
Thanks for your help; this group is the best.
Stew Wilson
Paralibrarian for Network Administration and Technology
2018 Special Focus: Education in a Time of Austerity and Social Turbulence 21–23 June 2018 University of Athens, Athens, Greece http://thelearner.com/2018-conference
Theme 8: Technologies in Learning
Technology and human values: learning through and about technology
Crossing the digital divide: access to learning in, and about, the digital world
New tools for learning: online digitally mediated learning
Virtual worlds, virtual classrooms: interactive, self-paced and autonomous learning
Ubiquitous learning: using the affordances of the new mediaDistance learning: reducing the distance
Theme 9: Literacies Learning
Defining new literacies
Languages of power: literacy’s role in social access
Instructional responses to individual differences in literacy learning
The visual and the verbal: Multiliteracies and multimodal communications
Literacy in learning: language in learning across the subject areas
The changing role of libraries in literacies learning
Languages education and second language learning
Multilingual learning for a multicultural world
The arts and design in multimodal learning
The computer, internet, and digital media: educational challenges and responses
++++++++++
PROPOSAL: Paper presentation in a Themed Session
Title
Virtual Reality and Gamification in the Educational Process: The Experience from an Academic Library
short description
VR, AR and Mixed Reality, as well as gaming and gamification are proposed as sandbox opportunity to transition from a lecture-type instruction to constructivist-based methods.
long description
The NMC New Horizon Report 2017 predicts a rapid application of Video360 in K12. Millennials are leaving college, Gen Z students are our next patrons. Higher Education needs to meet its new students on “their playground.” A collaboration by a librarian and VR specialist is testing the opportunities to apply 360 degree movies and VR in academic library orientation. The team seeks to bank on the inheriting interest of young patrons toward these technologies and their inextricable part of a rapidly becoming traditional gaming environment. A “low-end,” inexpensive and more mobile Google Cardboard solution was preferred to HTC Vive, Microsoft HoloLens or comparable hi-end VR, AR and mixed reality products.
The team relies on the constructivist theory of assisting students in building their knowledge in their own pace and on their own terms, rather than being lectured and/or being guided by a librarian during a traditional library orientation tour. Using inexpensive Google Cardboard goggles, students can explore a realistic set up of the actual library and familiarize themselves with its services. Students were polled on the effectiveness of such approach as well as on their inclination to entertain more comprehensive version of library orientation. Based on the lessons from this experiment, the team intends to pursue also a standardized approach to introducing VR to other campus services, thus bringing down further the cost of VR projects on campus. The project is considered a sandbox for academic instruction across campus. The same concept can be applied for [e.g., Chemistry, Physics, Biology) lab tours; for classes, which anticipate preliminary orientation process.
Following the VR orientation, the traditional students’ library instruction, usually conducted in a room, is replaced by a dynamic gamified library instruction. Students are split in groups of three and conduct a “scavenger hunt”; students use a jQuery-generated Web site on their mobile devices to advance through “hoops” of standard information literacy test. E.g., they need to walk to the Reference Desk, collect specific information and log their findings in the Web site. The idea follows the strong interest in the educational world toward gaming and gamification of the educational process. This library orientation approach applies the three principles for gamification: empowers learners; teaches problem solving and increases understanding.
Similarly to the experience with VR for library orientation, this library instruction process is used as a sandbox and has been successfully replicated by other instructors in their classes.
1. Information security: Developing a risk-based security strategy that keeps pace with security threats and challenges.
2. Student success: Managing the system implementations and integrations that support multiple student success initiatives.
3. Institution-wide IT strategy: Repositioning or reinforcing the role of IT leadership as an integral strategic partner of institutional leadership in achieving institutions missions.
4. Data-enabled institutional culture: Using BI and analytics to inform the broad conversation and answer big questions.
5. Student-centered institution: Understanding and advancing technology’s role in defining the student experience on campus (from applicants to alumni).
6. Higher education affordability: Balancing and rightsizing IT priorities and budget to support IT-enabled institutional efficiencies and innovations in the context if institutional funding realities.
7. IT staffing and organizational models: Ensuring adequate staffing capacity and staff retention in the face of retirements, new sourcing models, growing external competition, rising salaries, and the demands of technology initiatives on both IT and non-IT staff.
8. (tie) Data management and governance: Implementing effective institutional data governance practices.
9. (tie) Digital integrations: Ensuring system interoperability, scalability, and extensibility, as well as data integrity, standards, and governance, across multiple applications and platforms.
10. Change leadership: Helping institutional constituents (including the IT staff) adapt to the increasing pace of technology change.
Applications for the 2018 Institute will be accepted between December 1, 2017 and January 27, 2018. Scholars accepted to the program will be notified in early March 2018.
Title:
Learning to Harness Big Data in an Academic Library
Abstract (200)
Research on Big Data per se, as well as on the importance and organization of the process of Big Data collection and analysis, is well underway. The complexity of the process comprising “Big Data,” however, deprives organizations of ubiquitous “blue print.” The planning, structuring, administration and execution of the process of adopting Big Data in an organization, being that a corporate one or an educational one, remains an elusive one. No less elusive is the adoption of the Big Data practices among libraries themselves. Seeking the commonalities and differences in the adoption of Big Data practices among libraries may be a suitable start to help libraries transition to the adoption of Big Data and restructuring organizational and daily activities based on Big Data decisions. Introduction to the problem. Limitations
The redefinition of humanities scholarship has received major attention in higher education. The advent of digital humanities challenges aspects of academic librarianship. Data literacy is a critical need for digital humanities in academia. The March 2016 Library Juice Academy Webinar led by John Russel exemplifies the efforts to help librarians become versed in obtaining programming skills, and respectively, handling data. Those are first steps on a rather long path of building a robust infrastructure to collect, analyze, and interpret data intelligently, so it can be utilized to restructure daily and strategic activities. Since the phenomenon of Big Data is young, there is a lack of blueprints on the organization of such infrastructure. A collection and sharing of best practices is an efficient approach to establishing a feasible plan for setting a library infrastructure for collection, analysis, and implementation of Big Data.
Limitations. This research can only organize the results from the responses of librarians and research into how libraries present themselves to the world in this arena. It may be able to make some rudimentary recommendations. However, based on each library’s specific goals and tasks, further research and work will be needed.
Big Data is becoming an omnipresent term. It is widespread among different disciplines in academia (De Mauro, Greco, & Grimaldi, 2016). This leads to “inconsistency in meanings and necessity for formal definitions” (De Mauro et al, 2016, p. 122). Similarly, to De Mauro et al (2016), Hashem, Yaqoob, Anuar, Mokhtar, Gani and Ullah Khan (2015) seek standardization of definitions. The main connected “themes” of this phenomenon must be identified and the connections to Library Science must be sought. A prerequisite for a comprehensive definition is the identification of Big Data methods. Bughin, Chui, Manyika (2011), Chen et al. (2012) and De Mauro et al (2015) single out the methods to complete the process of building a comprehensive definition.
In conjunction with identifying the methods, volume, velocity, and variety, as defined by Laney (2001), are the three properties of Big Data accepted across the literature. Daniel (2015) defines three stages in big data: collection, analysis, and visualization. According to Daniel, (2015), Big Data in higher education “connotes the interpretation of a wide range of administrative and operational data” (p. 910) and according to Hilbert (2013), as cited in Daniel (2015), Big Data “delivers a cost-effective prospect to improve decision making” (p. 911).
The importance of understanding the process of Big Data analytics is well understood in academic libraries. An example of such “administrative and operational” use for cost-effective improvement of decision making are the Finch & Flenner (2016) and Eaton (2017) case studies of the use of data visualization to assess an academic library collection and restructure the acquisition process. Sugimoto, Ding & Thelwall (2012) call for the discussion of Big Data for libraries. According to the 2017 NMC Horizon Report “Big Data has become a major focus of academic and research libraries due to the rapid evolution of data mining technologies and the proliferation of data sources like mobile devices and social media” (Adams, Becker, et al., 2017, p. 38).
Power (2014) elaborates on the complexity of Big Data in regard to decision-making and offers ideas for organizations on building a system to deal with Big Data. As explained by Boyd and Crawford (2012) and cited in De Mauro et al (2016), there is a danger of a new digital divide among organizations with different access and ability to process data. Moreover, Big Data impacts current organizational entities in their ability to reconsider their structure and organization. The complexity of institutions’ performance under the impact of Big Data is further complicated by the change of human behavior, because, arguably, Big Data affects human behavior itself (Schroeder, 2014).
De Mauro et al (2015) touch on the impact of Dig Data on libraries. The reorganization of academic libraries considering Big Data and the handling of Big Data by libraries is in a close conjunction with the reorganization of the entire campus and the handling of Big Data by the educational institution. In additional to the disruption posed by the Big Data phenomenon, higher education is facing global changes of economic, technological, social, and educational character. Daniel (2015) uses a chart to illustrate the complexity of these global trends. Parallel to the Big Data developments in America and Asia, the European Union is offering access to an EU open data portal (https://data.europa.eu/euodp/home ). Moreover, the Association of European Research Libraries expects under the H2020 program to increase “the digitization of cultural heritage, digital preservation, research data sharing, open access policies and the interoperability of research infrastructures” (Reilly, 2013).
The challenges posed by Big Data to human and social behavior (Schroeder, 2014) are no less significant to the impact of Big Data on learning. Cohen, Dolan, Dunlap, Hellerstein, & Welton (2009) propose a road map for “more conservative organizations” (p. 1492) to overcome their reservations and/or inability to handle Big Data and adopt a practical approach to the complexity of Big Data. Two Chinese researchers assert deep learning as the “set of machine learning techniques that learn multiple levels of representation in deep architectures (Chen & Lin, 2014, p. 515). Deep learning requires “new ways of thinking and transformative solutions (Chen & Lin, 2014, p. 523). Another pair of researchers from China present a broad overview of the various societal, business and administrative applications of Big Data, including a detailed account and definitions of the processes and tools accompanying Big Data analytics. The American counterparts of these Chinese researchers are of the same opinion when it comes to “think about the core principles and concepts that underline the techniques, and also the systematic thinking” (Provost and Fawcett, 2013, p. 58). De Mauro, Greco, and Grimaldi (2016), similarly to Provost and Fawcett (2013) draw attention to the urgent necessity to train new types of specialists to work with such data. As early as 2012, Davenport and Patil (2012), as cited in Mauro et al (2016), envisioned hybrid specialists able to manage both technological knowledge and academic research. Similarly, Provost and Fawcett (2013) mention the efforts of “academic institutions scrambling to put together programs to train data scientists” (p. 51). Further, Asomoah, Sharda, Zadeh & Kalgotra (2017) share a specific plan on the design and delivery of a big data analytics course. At the same time, librarians working with data acknowledge the shortcomings in the profession, since librarians “are practitioners first and generally do not view usability as a primary job responsibility, usually lack the depth of research skills needed to carry out a fully valid” data-based research (Emanuel, 2013, p. 207).
Borgman (2015) devotes an entire book to data and scholarly research and goes beyond the already well-established facts regarding the importance of Big Data, the implications of Big Data and the technical, societal, and educational impact and complications posed by Big Data. Borgman elucidates the importance of knowledge infrastructure and the necessity to understand the importance and complexity of building such infrastructure, in order to be able to take advantage of Big Data. In a similar fashion, a team of Chinese scholars draws attention to the complexity of data mining and Big Data and the necessity to approach the issue in an organized fashion (Wu, Xhu, Wu, Ding, 2014).
Bruns (2013) shifts the conversation from the “macro” architecture of Big Data, as focused by Borgman (2015) and Wu et al (2014) and ponders over the influx and unprecedented opportunities for humanities in academia with the advent of Big Data. Does the seemingly ubiquitous omnipresence of Big Data mean for humanities a “railroading” into “scientificity”? How will research and publishing change with the advent of Big Data across academic disciplines?
Reyes (2015) shares her “skinny” approach to Big Data in education. She presents a comprehensive structure for educational institutions to shift “traditional” analytics to “learner-centered” analytics (p. 75) and identifies the participants in the Big Data process in the organization. The model is applicable for library use.
Being a new and unchartered territory, Big Data and Big Data analytics can pose ethical issues. Willis (2013) focusses on Big Data application in education, namely the ethical questions for higher education administrators and the expectations of Big Data analytics to predict students’ success. Daries, Reich, Waldo, Young, and Whittinghill (2014) discuss rather similar issues regarding the balance between data and student privacy regulations. The privacy issues accompanying data are also discussed by Tene and Polonetsky, (2013).
Privacy issues are habitually connected to security and surveillance issues. Andrejevic and Gates (2014) point out in a decision making “generated by data mining, the focus is not on particular individuals but on aggregate outcomes” (p. 195). Van Dijck (2014) goes into further details regarding the perils posed by metadata and data to the society, in particular to the privacy of citizens. Bail (2014) addresses the same issue regarding the impact of Big Data on societal issues, but underlines the leading roles of cultural sociologists and their theories for the correct application of Big Data.
Library organizations have been traditional proponents of core democratic values such as protection of privacy and elucidation of related ethical questions (Miltenoff & Hauptman, 2005). In recent books about Big Data and libraries, ethical issues are important part of the discussion (Weiss, 2018). Library blogs also discuss these issues (Harper & Oltmann, 2017). An academic library’s role is to educate its patrons about those values. Sugimoto et al (2012) reflect on the need for discussion about Big Data in Library and Information Science. They clearly draw attention to the library “tradition of organizing, managing, retrieving, collecting, describing, and preserving information” (p.1) as well as library and information science being “a historically interdisciplinary and collaborative field, absorbing the knowledge of multiple domains and bringing the tools, techniques, and theories” (p. 1). Sugimoto et al (2012) sought a wide discussion among the library profession regarding the implications of Big Data on the profession, no differently from the activities in other fields (e.g., Wixom, Ariyachandra, Douglas, Goul, Gupta, Iyer, Kulkami, Mooney, Phillips-Wren, Turetken, 2014). A current Andrew Mellon Foundation grant for Visualizing Digital Scholarship in Libraries seeks an opportunity to view “both macro and micro perspectives, multi-user collaboration and real-time data interaction, and a limitless number of visualization possibilities – critical capabilities for rapidly understanding today’s large data sets (Hwangbo, 2014).
The importance of the library with its traditional roles, as described by Sugimoto et al (2012) may continue, considering the Big Data platform proposed by Wu, Wu, Khabsa, Williams, Chen, Huang, Tuarob, Choudhury, Ororbia, Mitra, & Giles (2014). Such platforms will continue to emerge and be improved, with librarians as the ultimate drivers of such platforms and as the mediators between the patrons and the data generated by such platforms.
Every library needs to find its place in the large organization and in society in regard to this very new and very powerful phenomenon called Big Data. Libraries might not have the trained staff to become a leader in the process of organizing and building the complex mechanism of this new knowledge architecture, but librarians must educate and train themselves to be worthy participants in this new establishment.
Method
The study will be cleared by the SCSU IRB.
The survey will collect responses from library population and it readiness to use and use of Big Data. Send survey URL to (academic?) libraries around the world.
Data will be processed through SPSS. Open ended results will be processed manually. The preliminary research design presupposes a mixed method approach.
The study will include the use of closed-ended survey response questions and open-ended questions. The first part of the study (close ended, quantitative questions) will be completed online through online survey. Participants will be asked to complete the survey using a link they receive through e-mail.
Mixed methods research was defined by Johnson and Onwuegbuzie (2004) as “the class of research where the researcher mixes or combines quantitative and qualitative research techniques, methods, approaches, concepts, or language into a single study” (Johnson & Onwuegbuzie, 2004 , p. 17). Quantitative and qualitative methods can be combined, if used to complement each other because the methods can measure different aspects of the research questions (Sale, Lohfeld, & Brazil, 2002).
Sampling design
Online survey of 10-15 question, with 3-5 demographic and the rest regarding the use of tools.
1-2 open-ended questions at the end of the survey to probe for follow-up mixed method approach (an opportunity for qualitative study)
data analysis techniques: survey results will be exported to SPSS and analyzed accordingly. The final survey design will determine the appropriate statistical approach.
Project Schedule
Complete literature review and identify areas of interest – two months
Prepare and test instrument (survey) – month
IRB and other details – month
Generate a list of potential libraries to distribute survey – month
Contact libraries. Follow up and contact again, if necessary (low turnaround) – month
Collect, analyze data – two months
Write out data findings – month
Complete manuscript – month
Proofreading and other details – month
Significance of the work
While it has been widely acknowledged that Big Data (and its handling) is changing higher education (https://blog.stcloudstate.edu/ims?s=big+data) as well as academic libraries (https://blog.stcloudstate.edu/ims/2016/03/29/analytics-in-education/), it remains nebulous how Big Data is handled in the academic library and, respectively, how it is related to the handling of Big Data on campus. Moreover, the visualization of Big Data between units on campus remains in progress, along with any policymaking based on the analysis of such data (hence the need for comprehensive visualization).
This research will aim to gain an understanding on: a. how librarians are handling Big Data; b. how are they relating their Big Data output to the campus output of Big Data and c. how librarians in particular and campus administration in general are tuning their practices based on the analysis.
Based on the survey returns (if there is a statistically significant return), this research might consider juxtaposing the practices from academic libraries, to practices from special libraries (especially corporate libraries), public and school libraries.
References:
Adams Becker, S., Cummins M, Davis, A., Freeman, A., Giesinger Hall, C., Ananthanarayanan, V., … Wolfson, N. (2017). NMC Horizon Report: 2017 Library Edition.
Andrejevic, M., & Gates, K. (2014). Big Data Surveillance: Introduction. Surveillance & Society, 12(2), 185–196.
Asamoah, D. A., Sharda, R., Hassan Zadeh, A., & Kalgotra, P. (2017). Preparing a Data Scientist: A Pedagogic Experience in Designing a Big Data Analytics Course. Decision Sciences Journal of Innovative Education, 15(2), 161–190. https://doi.org/10.1111/dsji.12125
Bughin, J., Chui, M., & Manyika, J. (2010). Clouds, big data, and smart assets: Ten tech-enabled business trends to watch. McKinsey Quarterly, 56(1), 75–86.
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The proliferation of mobile devices and the adoption of learning applications in higher education simplifies formative assessment. Professors can, for example, quickly create a multi-modal performance that requires students to write, draw, read, and watch video within the same assessment. Other tools allow for automatic grade responses, question-embedded documents, and video-based discussion.
Multi-Modal Assessments – create multiple-choice and open-ended items that are distributed digitally and assessed automatically. Student responses can be viewed instantaneously and downloaded to a spreadsheet for later use.
Formative (http://www.goformative.com) allows professors to upload charts or graphic organizers that students can draw on with a stylus. Formative also allows professors to upload document “worksheets” which can then be augmented with multiple-choice and open-ended questions.
Nearpod (http://www.nearpod.com) allows professors to upload their digital presentations and create digital quizzes to accompany them. Nearpod also allows professors to share three-dimensional field trips and models to help communicate ideas.
Video-Based Assessments – Question-embedded videos are an outstanding way to improve student engagement in blended or flipped instructional contexts. Using these tools allows professors to identify if the videos they use or create are being viewed by students.
Playposit (http://www.playposit.com) are two leaders in this application category. A second type of video-based assessment allows professors to sustain discussion-board like conversation with brief videos.
Flipgrid (http://www.flipgrid.com), for example, allows professors to posit a video question to which students may respond with their own video responses.
Quizzing Assessments – ools that utilize close-ended questions that provide a quick check of student understanding are also available.
Kahoot (http://www.kahoot.com) are relatively quick and convenient to use as a wrap up to instruction or a review of concepts taught.
Integration of technology is aligned to sound formative assessment design. Formative assessment is most valuable when it addresses student understanding, progress toward competencies or standards, and indicates concepts that need further attention for mastery. Additionally, formative assessment provides the instructor with valuable information on gaps in their students’ learning which can imply instructional changes or additional coverage of key concepts. The use of tech tools can make the creation, administration, and grading of formative assessment more efficient and can enhance reliability of assessments when used consistently in the classroom. Selecting one that effectively addresses your assessment needs and enhances your teaching style is critical.
digital resource sets available through MnPALS Plus
Two sets of open access, free digital resources that may be of interest to students and faculty have been added to SCSU’s online catalog (MnPALS Plus).
Open Textbook Library (a project of the University of Minnesota)
(appears in Collection drop-down menu as “Univ of Mn Open Textbook Library”)
“Open textbooks are textbooks that have been funded, published, and licensed to be freely used, adapted, and distributed. These books have been reviewed by faculty from a variety of colleges and universities to assess their quality. These books can be downloaded for no cost, or printed at low cost. All textbooks are either used at multiple higher education institutions; or affiliated with an institution, scholarly society, or professional organization.”
For more information, see https://open.umn.edu/opentextbooks/
Ebooks Minnesota
“Ebooks Minnesota is an online ebook collection for all Minnesotans. The collection covers a wide variety of subjects for readers of all ages, and features content from our state’s independent publishers, including some of our best literature and nonfiction.”
For more information, see https://mndigital.org/projects/ebooks-minnesota
These resources are included in any search done in the online catalog. To view or search one of these collections specifically, go the the Advanced Search in MnPALS Plus and select the desired collection from the Collection dropdown. Users can add search terms, or just click “Find” without entering any search terms to see the entire collection.
large corporations are designed to work with sustaining technologies. They excel at knowing their market, staying close to their customers, and having a mechanism in place to develop existing technology. Conversely, they have trouble capitalizing on the potential efficiencies, cost-savings, or new marketing opportunities created by low-margin disruptive technologies.
Nebel, S., Schneider, S., & Rey, G. D. (2016). Mining Learning and Crafting Scientific Experiments: A Literature Review on the Use of Minecraft in Education and Research. Journal Of Educational Technology & Society, 19(2), 355-366.
Based on this research, institutions using what they perceive as fully integrated solutions are more likely to feel that technology does not enhance their advising function. This contradicts the advertised benefits of integrated functionality (i.e., it eases the pain of managing multiple products). These negative views have been influenced by these institutions’ experiences with the specific products that they have adopted. Institutions using fully integrated solutions are less likely to report satisfaction with their products.
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more on academic advising and technology in this IMS blog https://blog.stcloudstate.edu/ims?s=advising
to bypass this Handbreak issue, we use DVD Decrypter before we run the file through Handbreak
Burning (Archiving)
