Open Textbook Webinar — a 90-minute online meeting to learn about open textbooks.
Peer review of open textbooks is a critical component of assessing quality and supporting faculty looking for resources to use in their own classes. After the workshop, you’ll be eligible to earn a $200 stipend if you provide a short review of an open textbook from the OpenTextbook Library. Reviews are due 6-8 weeks following the workshop.
To prepare for the webinar, please take a few minutes and visit the Open Textbook Library (http://open.umn.edu/opentextbooks/). Glance through the Open Textbook Library and look for textbooks in your discipline that may be appropriate for you to review. In order to receive the $200 stipend, you must 1) participate in the webinar and 2) complete a textbook review. (Please note: There may not be texts available for review in your areas of expertise.)
When:Wednesday, November 14, 2018; 2:30 pm – 4:00 pm
Note that additional Open Textbook Webinars are scheduled throughout the academic year. Please contact Karen Pikula, OER Faculty Development Coordinator, at Karen.Pikula@minnstate.edu if you cannot attend the meeting on Monday.
Sejnowski, T. J. (2018). The Deep Learning Revolution. Cambridge, MA: The MIT Press.
How deep learning―from Google Translate to driverless cars to personal cognitive assistants―is changing our lives and transforming every sector of the economy.
The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.
Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.
Buzzwords like “deep learning” and “neural networks” are everywhere, but so much of the popular understanding is misguided, says Terrence Sejnowski, a computational neuroscientist at the Salk Institute for Biological Studies.
Sejnowski, a pioneer in the study of learning algorithms, is the author of The Deep Learning Revolution(out next week from MIT Press). He argues that the hype about killer AI or robots making us obsolete ignores exciting possibilities happening in the fields of computer science and neuroscience, and what can happen when artificial intelligence meets human intelligence.
Machine learning is a very large field and goes way back. Originally, people were calling it “pattern recognition,” but the algorithms became much broader and much more sophisticated mathematically. Within machine learning are neural networks inspired by the brain, and then deep learning. Deep learning algorithms have a particular architecture with many layers that flow through the network. So basically, deep learning is one part of machine learning and machine learning is one part of AI.
December 2012 at the NIPS meeting, which is the biggest AI conference. There, [computer scientist] Geoff Hinton and two of his graduate students showed you could take a very large dataset called ImageNet, with 10,000 categories and 10 million images, and reduce the classification error by 20 percent using deep learning.Traditionally on that dataset, error decreases by less than 1 percent in one year. In one year, 20 years of research was bypassed. That really opened the floodgates.
The inspiration for deep learning really comes from neuroscience.
AlphaGo, the program that beat the Go champion included not just a model of the cortex, but also a model of a part of the brain called the basal ganglia, which is important for making a sequence of decisions to meet a goal. There’s an algorithm there called temporal differences, developed back in the ‘80s by Richard Sutton, that, when coupled with deep learning, is capable of very sophisticated plays that no human has ever seen before.
there’s a convergence occurring between AI and human intelligence. As we learn more and more about how the brain works, that’s going to reflect back in AI. But at the same time, they’re actually creating a whole theory of learning that can be applied to understanding the brain and allowing us to analyze the thousands of neurons and how their activities are coming out. So there’s this feedback loop between neuroscience and AI
The main thing distinguishing a blockchain from a normal database is that there are specific rules about how to put data into the database. That is, it cannot conflict with some other data that’s already in the database (consistent), it’s append-only (immutable), and the data itself is locked to an owner (ownable), it’s replicable and available. Finally, everyone agrees on what the state of the things in the database are (canonical) without a central party (decentralized).
It is this last point that really is the holy grail of blockchain. Decentralization is very attractive because it implies there is no single point of failure.
The Cost of Blockchains
Development is stricter and slower
Incentive structures are difficult to design
Maintenance is very costly
Users are sovereign
All upgrades are voluntary
Scaling is really hard
Centralization is a lot easier
Like it or not, the word “blockchain” has taken on a life of its own. Very few people actually understand what it is, but want to appear hip so use these words as a way to sound more intelligent. Just like “cloud” means someone else’s computer and “AI” means a tweaked algorithm, “blockchain” in this context means a slow, expensive database.“blockchain” is really just a way to get rid of the heavy apparatus of government regulation. This is overselling what blockchain can do. Blockchain doesn’t magically take away human conflict.
So what is blockchain good for?
Most industries require new features or upgrades and the freedom to change and expand as necessary. Given that blockchains are hard to upgrade, hard to change and hard to scale, most industries don’t have much use for a blockchain. a lot of companies looking to use the blockchain are not really wanting a blockchain at all, but rather IT upgrades to their particular industry. This is all well and good, but using the word “blockchain” to get there is dishonest and overselling its capability.
An interactive discussion on badges and micro-credentials
Bryan Alexander, special guest Nate Otto, and the Future Trends Forum Community will discuss badges and micro-credentials at present, their future and the challenges they face.
Nate is the Director of Open Badges Projects at Concentric Sky, where he leads development of the Badgr platform for issuing and managing verifiable digital credentials.
Nate’s background in political sciences also informs his work on open standards with a focus on building and maintaining tech ecosystems resistant to monopolies.
Mozilla discontinue and switch to Badgr platform. free accounts to Badgr. current integration of Mozilla backpack with other platforms such as Moddle will be preserved. Backpack solution, or issue badges.
Steve Taylor: Moodle is one of the platforms integrated with Backpack.
This is an extremely useful conversation. We’re working on building a dedicated micro-credentialing platform at our University specifically to provide continuing education material based on the material we are already creating in our various programs.
Open badges extensions for education test course. Two extensions: one describes assessment which goes to a particular badge. Second extension allows the issues to describe. Published extensions. Badgr implemented the assessment extensions: the Digital Promise project – https://digitalpromise.org/.
hurdles to prevent adoption of badges: 1. still not easy enough to start issuing badges, design principles. get ambitious what to do with badges but no ability to start the assessment process. how badges will be awarded. starting small is the way, simple tools, google forms, to help decide what to do. 2. how do we understand the achievements of badges
When: Friday, September 28, 8:30am-3:00pm Where: Wilson Research Collaboration Studio, Wilson Library Cost: Free; advanced registration is required
1968 was one of the most turbulent years of the 20th century. 2018 marks the 50th anniversary of that year’s landmark political, social and cultural events–events that continue to influence our world today.
Focusing on the importance of this 50 year anniversary we are calling out to all faculty, staff, students, and community partners to participate the workshop ‘Mapping 1968, Conflict and Change’. This all-day event is designed to bring people together into working groups based on common themes. Bring your talent and curiosity to apply an interdisciplinary approach to further explore the spatial context of these historic and/or current events. Learn new skills on mapping techniques that can be applied to any time in history. To compliment the expertise that you bring to the workshop, working groups will also have the support of library, mapping, and data science experts to help gather, create, and organize the spatial components of a given topic.
Workshop sponsors: Institute for Advanced Studies (IAS), U-Spatial, Liberal Arts Technologies & Innovation Services (LATIS), Digital Arts, Science & Humanities (DASH), and UMN Libraries.
Henneping County scanned the deeds, OCR, Python script to search. Data in an open source. covenant data. Local historian found microfishes, the language from the initial data. e.g. eugenics flavor: arian, truncate.
storymaps.arcgis.com/en/gallery https://storymaps.arcgis.com/en/gallery/#s=0 cloud-based mapping software. ArcGIS Online. organizational account for the U, 600 users. over 700 storymaps creates within the U, some of them are not active, share all kind of data: archive data on spreadsheet, but also a whole set of data within the software; so add the data or use the ArcGIS data and use templates. web maps into the storymap app, Living Atlas: curated set of data: hunderd sets of data, from sat images, to different contents. 846 layers of data, imagery, besides org account, one can create maps within the free account with limited access. data browser to use my own data – Data Enrichment to characterized my data. census data from 2018 and before,
make plan, create a storyboard, writing for the web, short and precise (not as writing for a journal), cartographic style, copyright, citing the materials, choosing the right map scale for each page. online learning materials, some only thru org account ESRI academy has course catalogue. Mapping 101, Dekstop GIS 101, Collector 101, Imagery 101, SQL 101, Story Maps 101,
The “Mapping 1968, Conflict and Change” planning committee is very pleased with the amount of interest and the wonderful attendance at Friday’s gathering. Thank you for attending and actively participating in this interdisciplinary workshop!
To re-cap and learn more on your thoughts and expectations of the workshop we would be grateful if you can take a few moments to complete the workshop evaluation. Please complete the evaluation even if you were unable to attend last Friday, there are questions regarding continued communication and the possibility for future events of this kind.
Five tips to help you create a personal brand and a positive digital reputation
1. What will they find when they Google you?
2. What is branding?
Your brand is what you represent, the content that you share, your audience, your Personal Learning Network (PLN), and your teaching philosophy. You want your brand to demonstrate that you are trustworthy, and offer quality content, insightful comments, and experience. Your brand tells your audience that what you offer is of value. Together, the elements that create your brand should communicate a distinct, cohesive story. For instance, when you visit any of my social media profiles, you will see a consistent message. The avatar and logo for my website Shake Up Learning are more recognizable than my face, and that’s intentional. That isn’t to say that every brand needs an avatar. But do find a creative way to tell your personal story.
3. Choose the right platforms
There is no right or wrong platform. Choosing where you want to build your online presence depends on the audience that you want to engage. If you want to reach parents and school community stakeholders, Facebook is a strong bet. If you want to reach other educators, Twitter and Pinterest are big winners. The bottom line is that you don’t have to use them all. Find and connect with your audience where your audience resides.
4. Claim your social media real estate
Before you settle on a username, check that it’s available on all of the social media platforms that you want to use—and then keep it consistent. You will lose your audience if you make it hard to find you. Also keep your handle simple and short, and try to avoid special characters. When a new platform arrives, claim your username early even if you aren’t sure that you will maintain a presence there.
5. Optimize your social media profiles
Guy Kawasaki, co-author of The Art of Social Media, khas nearly 1.5 million followers on Twitter alone, and he offers effective social media tips in his book. Here are the basics:
Add a picture of your face or logo. Your picture validates who you are. No more eggheads! Using the default egg avatar on Twitter says you don’t have a brand, and doesn’t tell your audience that you are trustworthy.
Use your real name. Sure, you can lie, but that isn’t going to help you build a brand and online presence. Many platforms allow you to show your name as well as your handle.
Link to your website, blog or About.me page. Don’t have one? Get one! You may not be ready to start a blog, but anyone can easily set up an About.me page—which is like an online resume.
Compose a meaningful bio, which will help others find and follow you. It should describe your experience in the field of education and highlight topics that you follow like Maker Ed, Google Apps, or edtech.
Add a cover image. Choose an image that tells your story. Who are you? What do you do that sets you apart? Canva is a graphic design tool that makes creating a cover image easy. It offers ready-made templates in the right size for all of the major social media platforms.
Be consistent across all mediums. You want your followers to see the same brand on all of your social media profiles. This also means you shouldn’t change your profile picture every five minutes. Be recognizable.
Tools to build your brand and online presence
About.me: A quick and easy personal homepage that shows your audience who you are and how to connect with you.
Canva: An easy-to-use design tool for creating images, with templates for social media.
Fiverr: A marketplace for services that you can use to commission a logo, avatar, or web design.
the trending but undefined concepts of digital storytelling and immersive learning
definition
Storytelling is a logical form of thought. It is an analytical process including perception, labeling, organizing, categorizing real and imaginary objects and their real and imaginary relations in speech.
Q: What do you think immersive documentation technologies such as 360 images and videos can bring to this process?
V: 360 degree media and virtual reality are cultural-historically developed tools that mediate our relationship to the world in a new way. They expand the possible fields of perception transcending space and time. Perception precedes other psychological functions.
Definition
Immersive storytelling can be understood as an activity through which students use language to visualize relations and meaning in 360 degree digital environments. Naming or describing relations between objects in our field of perception using verbal or visual language awakens intellectual processes fundamental to learning.
Q: Would you say immersive storytelling is a form of creative play?
V: That is a possible interpretation. Play is a psychological process through which we create an imaginary situation or place, reflecting or separating objects and their actual meaning, or creating new meanings. The ability to digitally create and modify situations and environments can be understood as a form of play, opening a realm of spontaneity and freedom, connected with pleasure.
Q: Can robots help us learn? Is AI already the More Knowledgeable Other?
V: The More Knowledgeable Other (MKO) refers to anyone or anything who has a better understanding or a higher ability level than the learner, with respect to a particular task, process, or concept. If a robot with artificial intelligence can function as an MKO and support our problem solving, it can expand our Zone of Proximal Development.
Juxtapose JS from Knight Lab is a free tool for making and hosting side-by-side comparisons of images. The tool was designed to help people see before and after views of a location, a building, a person, or anything else that changes appearance over time. Juxtapose JS will let you put the images into a slider frame that you can embed into a webpage where viewers can use the slider to reveal more or less of one of the images.
Storyline JS is one of the newer Knight Lab offerings. This beta product is designed to help students tell stories with data. The basic purpose of Storyline JS is to help students can create interactive line graphs. Students add annotations to the data points their line graphs. Those annotations are used to tell the story of the data represented in the graph.
Scene VR is another beta product from Knight Lab. The purpose of Scene VR is to enable users to stitch together panoramic images and VR images to create an immersive photo story. Stories published through Scene VR can be embedded into websites and viewed on desktop computers as well as on tablets and mobile phones.
If you want to embed audio into a written story, Soundcite JS is the tool for you. Soundcite JS lets you add audio clips to a written story. When Soundcite JS is properly used, a play button appears where you specify in the text. For example, if I wrote a story that included a scene in which a dog barks, I could have “the dog barks at the stranger” be highlighted with a play button that when clicked plays the sound of a dog barking.
StoryMap JS lets you combine elements of timelines and maps to create mapped stories. On StoryMap JS you create slides that are matched to locations on your map. Each slide in your story can include images or videos along with text. As you scroll through your story there are simple transitions between each slide. StoryMap JS integrates with your Google Drive account. To get started with StoryMap JS you have to grant it access to your Google Drive account. StoryMap JS will create a folder in your Google Drive account where all of your storymap projects will be saved. With StoryMap JS connected to your Google Drive account you will be able to pull images from your Google Drive account to use in your StoryMap JS projects. Here’s a good tutorial video made by Jan Serie Center’s Digital Liberal Arts initiative at Macalester College.
Apps like WhatsApp, Facebook, Snapchat, Instagram, Twitter, LinkedIn, Viber
Felix Krause described in 2017 that when a user grants an app access to their camera and microphone, the app could do the following:
Access both the front and the back camera.
Record you at any time the app is in the foreground.
Take pictures and videos without telling you.
Upload the pictures and videos without telling you.
Upload the pictures/videos it takes immediately.
Run real-time face recognition to detect facial features or expressions.
Livestream the camera on to the internet.
Detect if the user is on their phone alone, or watching together with a second person.
Upload random frames of the video stream to your web service and run a proper face recognition software which can find existing photos of you on the internet and create a 3D model based on your face.
For instance, here’s a Find my Phone application which a documentary maker installed on a phone, then let someone steal it. After the person stole it, the original owner spied on every moment of the thief’s life through the phone’s camera and microphone.
The government
Edward Snowden revealed an NSA program called Optic Nerves. The operation was a bulk surveillance program under which they captured webcam images every five minutes from Yahoo users’ video chats and then stored them for future use. It is estimated that between 3% and 11% of the images captured contained “undesirable nudity”.
Hackers can also gain access to your device with extraordinary ease via apps, PDF files, multimedia messages and even emojis.
An application called Metasploit on the ethical hacking platform Kali uses an Adobe Reader 9 (which over 60% of users still use) exploit to open a listener (rootkit) on the user’s computer. You alter the PDF with the program, send the user the malicious file, they open it, and hey presto – you have total control over their device remotely.
Once a user opens this PDF file, the hacker can then:
Install whatever software/app they like on the user’s device.
Use a keylogger to grab all of their passwords.
Steal all documents from the device.
Take pictures and stream videos from their camera.
Capture past or live audio from the microphone.
Upload incriminating images/documents to their PC, and notify the police.
And, if it’s not enough that your phone is tracking you – surveillance cameras in shops and streets are tracking you, too
You might even be on this website, InSeCam, which allows ordinary people online to watch surveillance cameras free of charge. It even allows you to search cameras by location, city, time zone, device manufacturer, and specify whether you want to see a kitchen, bar, restaurant or bedroom.
Publisher / Organization: Athabasca University Press
Year founded: 2000
Description: The International Review of Research in Open and Distributed Learning disseminates original research, theory, and best practice in open and distributed learning worldwide.
Publisher / Organization: The University of Illinois at Chicago- University Library
Year founded: 1996
Description: First Monday is among the very first open access journals in the EdTech field. The journal’s subject matter encompasses the full range of Internet issues, including educational technologies, social media and web search. Contributors are urged via author guidelines to use simple explanations and less complex sentences and to be mindful that a large proportion of their readers are not part of academia and do not have English as a first language.
Academic Management: University of Catalonia (UOC)
Year founded: 2004
Description: This journal aims to: provide a vehicle for scholarly presentation and exchange of information between professionals, researchers and practitioners in the technology-enhanced education field; contribute to the advancement of scientific knowledge regarding the use of technology and computers in higher education; and inform readers about the latest developments in the application of information technologies (ITs) in higher education learning, training, research and management.
Description: Online Learning promotes the development and dissemination of new knowledge at the intersection of pedagogy, emerging technology, policy, and practice in online environments. The journal has been published for over 20 years as the Journal of Asynchronous Learning Networks (JALN) and recently merged with the Journal of Online Learning and Teaching (JOLT).
Publisher / Organization: International Forum of Educational Technology & Society
Year founded:1998
Description: Educational Technology & Society seeks academic articles on the issues affecting the developers of educational systems and educators who implement and manage these systems. Articles should discuss the perspectives of both communities – the programmers and the instructors. The journal is currently still accepting submissions for ongoing special issues, but will cease publication in the future as the editors feel that the field of EdTech is saturated with high quality publications.
Description: The Australasian Journal of Educational Technology aims to promote research and scholarship on the integration of technology in tertiary education, promote effective practice, and inform policy. The goal is to advance understanding of educational technology in post-school education settings, including higher and further education, lifelong learning, and training.
DESCRIPTION: The Internet and Higher Education is devoted to addressing contemporary issues and future developments related to online learning, teaching, and administration on the Internet in post-secondary settings. Articles should significantly address innovative deployments of Internet technology in instruction and report on research to demonstrate the effects of information technology on instruction in various contexts in higher education.
Publisher / Organization: British Educational Research Association (BERA)
YEAR FOUNDED: 1970
DESCRIPTION: The journal publishes theoretical perspectives, methodological developments and empirical research that demonstrate whether and how applications of instructional/educational technology systems, networks, tools and resources lead to improvements in formal and non-formal education at all levels, from early years through to higher, technical and vocational education, professional development and corporate training.
Description: Computers & Education aims to increase knowledge and understanding of ways in which digital technology can enhance education, through the publication of high quality research, which extends theory and practice.
Description: TechTrends targets professionals in the educational communication and technology field. It provides a vehicle that fosters the exchange of important and current information among professional practitioners. Among the topics addressed are the management of media and programs, the application of educational technology principles and techniques to instructional programs, and corporate and military training.
Description: Advances in technology and the growth of e-learning to provide educators and trainers with unique opportunities to enhance learning and teaching in corporate, government, healthcare, and higher education. IJEL serves as a forum to facilitate the international exchange of information on the current research, development, and practice of e-learning in these sectors.
Led by an Editorial Review Board of leaders in the field of e-Learning, the Journal is designed for the following audiences: researchers, developers, and practitioners in corporate, government, healthcare, and higher education. IJEL is a peer-reviewed journal.
Description: JCMST is a highly respected scholarly journal which offers an in-depth forum for the interchange of information in the fields of science, mathematics, and computer science. JCMST is the only periodical devoted specifically to using information technology in the teaching of mathematics and science.
Just as researchers build reputation over time that can be depicted (in part) through quantitative measures such as h-index and i10-index, journals are also compared based on the number of citations they receive..
Description: The Journal of Interactive Learning Research (JILR) publishes papers related to the underlying theory, design, implementation, effectiveness, and impact on education and training of the following interactive learning environments: authoring systems, cognitive tools for learning computer-assisted language learning computer-based assessment systems, computer-based training computer-mediated communications, computer-supported collaborative learning distributed learning environments, electronic performance support systems interactive learning environments, interactive multimedia systems interactive simulations and games, intelligent agents on the Internet intelligent tutoring systems, microworlds, virtual reality based learning systems.
Description: JEMH is designed to provide a multi-disciplinary forum to present and discuss research, development and applications of multimedia and hypermedia in education. It contributes to the advancement of the theory and practice of learning and teaching in environments that integrate images, sound, text, and data.
Publisher / Organization: Society for Information Technology and Teacher Education (SITE)
Year founded: 1997
Description: JTATE serves as a forum for the exchange of knowledge about the use of information technology in teacher education. Journal content covers preservice and inservice teacher education, graduate programs in areas such as curriculum and instruction, educational administration, staff development instructional technology, and educational computing.
Publisher / Organization: Association for the Advancement of Computing in Education (AACE)
YEAR FOUNDED: 2015
DESCRIPTION: The Journal of Online Learning Research (JOLR) is a peer-reviewed, international journal devoted to the theoretical, empirical, and pragmatic understanding of technologies and their impact on primary and secondary pedagogy and policy in primary and secondary (K-12) online and blended environments. JOLR is focused on publishing manuscripts that address online learning, catering particularly to the educators who research, practice, design, and/or administer in primary and secondary schooling in online settings. However, the journal also serves those educators who have chosen to blend online learning tools and strategies in their face-to-face classroom.
The most commonly used index to measure the relative importance of journals is the annual Journal Citation Reports (JCR). This report is published by Clarivate Analytics (previously Thomson Reuters).
SCImago Journal Rank (SJR indicator) measures the influence of journals based on the number of citations the articles in the journal receive and the importance or prestige of the journals where such citations come from. The SJR indicator is a free journal metric which uses an algorithm similar to PageRank and provides an open access alternative to the journal impact factor in the Web of Science Journal Citation Report. The portal draws from the information contained in the Scopus database (Elsevier B.V.).
Introduced by Google in 2004, Scholar is a freely accessible search engine that indexes the full text or metadata of scholarly publications across an array of publishing formats and disciplines.
Introduced by Elsevier in 2004, Scopus is an abstract and citation database that covers nearly 18,000 titles from more than 5,000 publishers. It offers journal metrics that go beyond just journals to include most serial titles, including supplements, special issues and conference proceedings. Scopus offers useful information such as the total number of citations, the total number of articles published, and the percent of articles cited.
Anne-Wil Harzing:
“Citations are not just a reflection of the impact that a particular piece of academic work has generated. Citations can be used to tell stories about academics, journals and fields of research, but they can also be used to distort stories”.
Harzing, A.-W. (2013). The publish or perish book: Your guide to effective and responsible citation analysis. http://harzing.com/popbook/index.htm
ResearchGate is a social networking site for scientists and researchers to share papers, ask and answer questions, and find collaborators. The community was founded in May 2008. Today it has over 14 million members.
Google Scholar allows users to search for digital or physical copies of articles, whether online or in libraries. It indexes “full-text journal articles, technical reports, preprints, theses, books, and other documents, including selected Web pages that are deemed to be ‘scholarly. It comprises an estimated 160 million documents.
Academia.edu is a social-networking platform for academics to share research papers. You can upload your own work, and follow the updates of your peers. Founded in 2008, the network currently has 59 million users, and adding 20 million documents.
The ORCHID (Open Researcher and Contributor ID) is a nonproprietary alphanumeric code to uniquely identify scientific and other academic authors and contributors. It provides a persistent identity for humans, similar to content-related entities on digital networks that utilize digital object identifiers (DOIs). The organization offers an open and independent registry intended to be the de facto standard for contributor identification in research and academic publishing.
The Scopus Author Identifier assigns a unique number to groups of documents written by the same author via an algorithm that matches authorship based on a certain criteria. If a document cannot be confidently matched with an author identifier, it is grouped separately. In this case, you may see more than one entry for the same author.
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more on metrics in this iMS blog
