Thursday, March 12, 2026

Li‑Sci‑Fi: IFLA100 Library Science Fiction Short Story Competition

Li‑Sci‑Fi: IFLA100 Library Science Fiction | blog post (table look, no icons)

Li‑Sci‑Fi: IFLA100 Library Science Fiction Short Story Competition

What does the future hold for libraries? This is the theme for the Li‑Sci‑Fi (Library Science Fiction) short story competition hosted by the International Federation of Library Associations as it approaches its 100th anniversary in 2027 (IFLA100)! Submissions close 1 September 2026, with winners chosen by celebrity judge Mary Robinette Kowal.

Libraries for the future

Libraries have always had a focus on tomorrow. They serve current and future generations, through collecting and safeguarding content and developing the skills and outlooks necessary to help everyone face what comes next with confidence.

They are also early adopters of technology, acting as test‑beds for new ideas and contributing to development of the internet through digital library tools. In doing so, they have combined new tools with long‑standing values in order to find ways of advancing towards key public interest missions.

The future for libraries

As we look to the next century of libraries and international librarianship in the context of IFLA100, we have been asking: “What are the skills and attitudes required to approach the future with confidence?” The answer depends on technological advances and what these advances might mean for libraries and the societies they serve.

This is where your imagination and creative writing comes in! Science fiction has long played a role in helping to imagine alternative worlds. Now we want you to speculate about the future of libraries in our Li‑Sci‑Fi short story competition.

The competition

Flash

up to 1000 words

one story per category

Short story

1001 – 2500 words

enter both categories

What we’re looking for

Insight: say something interesting and on theme. We want stories that make us stop and think!
Engaging writing: believable characters, strong structure, internal consistency.
Originality: apply your creativity! Any AI use must be disclosed and limited to translation/minor editing.

Celebrity judge: Mary Robinette Kowal (Hugo, Nebula, Locus winner – asteroid named after her)

How to submit: PDF or MS Word to ifla100@ifla.org with subject Li-Sci-Fi. Include word count & title on first page. No name in document/filename. No fee.

Entries in any official IFLA language (Arabic, Chinese, English, French, German, Russian, Spanish). If not English, provide an English translation or be aware that the jury may use automated translation.

Prizes (winner’s choice)
€500 towards IFLA membership	full year paid membership
Free WLIC 2027 (London)	registration for IFLA conference
€500 cash	monetary award

Blind‑reviewed jury → winner chosen by Mary Robinette Kowal. IFLA reserves the right not to select a winner. All shortlisted stories will be published on the IFLA website as part of IFLA100 celebrations.

Submit your story

Deadline: 1 September 2026 — questions? ifla100@ifla.org

Original IFLA announcement · #LiSciFi #IFLA100 #LibraryFuture

Data Science vs Data Analytics in Libraries

LibCognizance Data analysis , Data Analytics

Data Science and Data Analytics - these two terms are heard at every library conference these days. But do you know what they really mean in the library context? And which one is more important for you as a librarian?

The Data Revolution in Libraries

Today's libraries are no longer just repositories of books and journals. They have become data hubs:

Issue/return records - How many books were issued, which are most popular
E-resource usage - Which e-journals are being read the most
Website analytics - What users are searching for, what they're clicking on
Footfall data - When the library is most crowded
Research data - Theses, datasets, repositories

The question isn't whether data exists. The question is how this data is being used.

Data Analytics in Libraries: "What Happened?"

Data Analytics focuses on: "Understanding what has happened"

Simple definition:
Data Analytics means analyzing existing library data to extract insights so that better decisions can be made.

Real Library Examples:

How many books were issued this month?
Which subject books are being read the most?
What are the library's peak hours?
Which e-resources are rarely being used?

Tools: Excel, SQL, Power BI, Tableau, Basic Python
Output: Reports, Dashboards, Charts, Evidence-based decisions

Data Analytics is the entry point to data-driven culture for libraries.

Data Science in Libraries: "What Will Happen?"

Data Science goes one step further.
"Predicting what will happen next"

Simple definition:
Data Science uses advanced statistics, machine learning and computational techniques to create predictions, automation and intelligent systems.

Real Library Examples:

Which books will be in demand next semester?
Which students are at high risk of late returns?
Prediction of research trends
"You may also like" recommendations (for books/articles)

Tools: Python/R, Machine Learning, NLP, Big Data platforms
Output: Predictive models, Recommendation systems, AI-enabled tools

Not every library needs a full-scale data science lab, but in research-intensive libraries (IITs, universities) its scope is growing rapidly.

Data Analytics vs Data Science: Side-by-Side Comparison

Aspect	Data Analytics	Data Science
Focus	Past & Present	Future
Question	What happened? Why did it happen?	What will happen? How to improve?
Complexity	Medium	High
Coding	Limited	Extensive
Output	Reports & Dashboards	Models & Predictions
Library Use	Planning & Evaluation	AI-based Services
Example	Monthly circulation report	Book demand prediction model

Which is More Important for Librarians?

The truth is:
In libraries, Data Science and Data Analytics don't compete - they complement each other.

Reality check:

Most librarians → Need Data Analytics + Data Literacy
Special roles → Need Data Science skills

Typical Library Roles:

Data Librarian → Policy, RDM, metadata, ethics
Library Data Analyst → Usage analytics, dashboards
Data Technologist → Text mining, APIs, automation

Data Science in libraries is a "team sport," where every librarian doesn't need to become an ML expert.

Libraries' Unique Strengths

Libraries bring unique values to the data world that aren't found in other organizations:

Privacy & Ethics

Libraries have a long-standing commitment to:

User confidentiality
Intellectual freedom
Responsible data stewardship
Transparent policies

Organizational Expertise

Metadata creation and management
Information organization systems
Long-term preservation strategies
Quality control processes

Trusted Community Position

Neutral, non-commercial space
Focus on public good over profit
Established community relationships
Commitment to equitable access

Future of Libraries: Data-Savvy, Not Data-Obsessed

The important thing is:
Libraries' goal isn't just to handle Big Data, but to make data meaningful, ethical and usable.

Whether it's Data Analytics or Data Science,
The end goal will always be:

Better services
Better research support
Better informed society

Final Thoughts

Data Analytics tells libraries "what is happening,"
and Data Science tells libraries "what could happen."

Only together can they create 21st century smart, inclusive and trusted libraries.

One-Line Takeaway:
In the library world, Data Analytics helps us understand our past, while Data Science helps us shape the future—together transforming libraries into data-empowered knowledge institutions.

What is a Cloud Library? Meaning, Features and Examples

LibCognizance Cloud computing , Cloud computing in libraries

Discover the meaning of cloud libraries, key benefits, world examples. Cloud Library is a library system where digital resources and services are hosted on cloud computing platforms instead of local servers, enabling anytime, anywhere access through the internet. A cloud library uses cloud technology to store, manage, and deliver books, journals, databases, institutional repositories, and library management services.

What Is a Cloud Library?

Meaning, features, and examples

Quick Summary:
A Cloud Library is a library system where digital resources and services are hosted on cloud computing platforms instead of local servers, enabling anytime, anywhere access through the internet.

What Is a Cloud Library?

A cloud library is a library system in which digital library resources, services, and applications are hosted on cloud computing platforms instead of on local servers.

In simple words, a cloud library uses cloud technology to store, manage, and deliver books, journals, databases, institutional repositories, and library services.

Key Features of a Cloud Library

Remote access to e-books, e-journals, and databases
Scalable storage based on demand
Cost-effective with no local servers
Centralized data security and backup
Support for AI-based services and analytics
Device-independent access

Examples of Cloud Libraries in the World

1. World Digital Library (WDL)

Developed by UNESCO and the Library of Congress, providing free access to cultural heritage documents.

2. HathiTrust Digital Library

A collaborative digital repository of universities hosting millions of digitized books.

3. Google Books

A cloud-based platform for searching and previewing digitized books worldwide.

4. Internet Archive

A non-profit digital cloud library offering free access to books, audio, video, and archived websites.

5. Europeana

A cloud-based digital platform providing access to European cultural heritage.

Cloud-Based Library Management System (LMS) Examples

OCLC WorldShare Management Services
Ex Libris Alma
Koha (Cloud-hosted versions)
EBSCO FOLIO

References

A New Era for Indian Researchers: APC Support under ONOS

LibCognizance one nation one subscription , ONOS

A New Era for Indian Researchers: APC Support under ONOS

About ONOS APC Support

The Government of India has issued APC Guidelines as part of the #ONOS programme. It is a forward-looking step that will be a major step for the scholars who wants to publish in some of the ONOS approved “high-quality” open-access journals, the negotiated APCs for these selcted journals will be centrally funded through the executing agency for ONOS. The ONOS (One Nation One Subscription) scheme was approved by the Government of India on 25 November 2024, and it officially begins operations on 1 January 2025. Its aim is to provide nationwide access via a centralised, digital subscription to more than 13,000 international scholarly journals (from 30 major publishers) for all students, faculty and researchers in government-run higher education and research institutions. Users benefit by getting free (or centrally funded) access to high-impact peer-reviewed journals, removing subscription cost and access barriers that many smaller or remote institutions previously faced.

What is ONOS APC support?

Under ONOS (One Nation One Subscription), the central authority will fund Article Processing Charges (APCs) for selected, high-quality fully open-access journals. Fully open access journals appearing in the list of top 1% journals for each of the 27 main subject areas given in the Scopus wil be eligible. These open access journals can be either from the major 30 publishers selected in ONOS providing free access to all or other publishers. This list of journals will be prepared every year by INFLIBNET in consulltation with the Department of HIgher Education and will be upoaded on ONOS website

Quick Apply Checklist

Upload acceptance letter, article, and required forms.

Submit Declaration of Author's Contribution.

Get endorsement from your Head of Institution.

Await verification and approval by ONOS/INFLIBNET.

Confirm publication once the article appears in the journal.

Eligibility & Requirements

Who is eligible?

Researchers, faculty, students and principal investigators from institutions registered with ONOS
Applicants are normally the first or corresponding author
Must be a bona fide member of their institute
Institutional endorsement by the Head / nodal officer required

Which journals qualify?

Only fully open-access journals that are in the top 1% (by CiteScore, SNIP or SJR as indexed in Scopus) are eligible. ONOS publishes the list of eligible journals and periodically updates it.

Quick Facts

Eligibility ONOS-registered institutions

Journals Fully Open Access (Top 1%)

Applies to Research articles accepted for publication

Important Rules

Only eligible fully open-access journals (top 1% by Scopus metrics) are supported
Authors must have made a significant intellectual contribution to the work
If APC is already provided by other government/agency funding, ONOS funding will not be provided
False or misleading declarations may result in administrative or legal action

References & Important Links

ONOS APC Support APC Guidelines (PDF) APC Help Manual Apply for APC Browse Eligible Journals One Nation One Subscription India’s Research Publishing In The Era Of Open Access ONOS’s APC Guidelines: Opening Access or Opening Pockets? ONOS’s APC Guidelines

The Digital Journey of Libraries: Tracing Service Evolution Across Web Generations (1.0 to 5.0)

LibCognizance digital libraries , Library 2.0

Explore technological shifts from Web 1.0 to Web 5.0 and their impact on library services, including Library 2.0, Semantic Web, AI, IoT, linked data, and decentralized user identity.

The Digital Journey of Libraries: Tracing Service Evolution Across Web Generations (1.0 to 5.0)

The evolution of the Web from its early static pages to today’s intelligent, predictive ecosystems has profoundly shaped how libraries design, deliver, and enhance their services. Each new Web generation has redefined the way users search, interact with, and retrieve information in libraries. Libraries, as knowledge hubs, have continuously adapted by integrating new technologies such as social tools, semantic metadata, artificial intelligence, IoT, etc. Here is a a clear timeline depicting how library services have transformed across Web 1.0 to Web 5.0, from simple information providers to dynamic, user-centric, and intelligent learning environments.

Evolution of Library Services Across Web Generations

Web 1.0 Era (1990s): The Static Library Web Presence

Characteristics: Static, read-only HTML pages.
Library Services: Basic informational websites, rules, timings, downloadable PDFs.
OPACs: Mostly offline; early static online catalogs.
User Experience: Minimal interactivity, one-way information flow.

Web 2.0 Era (2000s): Library 2.0 — Social, Participatory, Collaborative

Interactive library portals, user-generated content, tagging, book reviews.
Online OPACs, Blogs, podcasts, YouTube tutorials.
Social media integration (Facebook, Twitter).
Virtual Reference Services (Ask-a-Librarian, chat-based help).
User Experience: Users become contributors and active participants.

Web 3.0 Era (2010s–Early 2020s): Smart, Semantic, AI-Enhanced Libraries

Semantic metadata, linked data, structured data.
Intelligent discovery systems & AI-powered search.
Recommendation engines in OPACs.
BIBFRAME replacing MARC; linked-data repositories.
Researcher identity systems: IRINS, VIDWAN.
User Experience: Personalized, context-aware services.

Web 4.0 Era (2020s–Emerging): Intelligent, Ambient, Symbiotic Libraries

AI-driven library assistants and chatbots.
IoT-based smart libraries (RFID, sensors, smart shelves).
Voice/gesture-controlled interfaces.
AR/VR-based learning experiences.
User Experience: Predictive and proactive services.

Web 5.0 (Proposed): Decentralized, User-Owned Library Ecosystems

Self-sovereign digital identities (DIDs).
User-controlled borrowing history & privacy.
Decentralized scholarly publishing (verified authorship & citations).
Cross-library identity portability.
User Experience: Maximum autonomy & data control.

Final Timeline of Web Evolution & Library Services

Web Stage	Years	Core Features	Library Service Evolution
Web 1.0	1990s	Static, read-only	Basic sites, static OPAC
Web 2.0	2000s	Social, collaborative	Interactice library portals, virtual reference
Web 3.0	2010s–2020s	Semantic, AI, linked data	Smart OPAC, AI search, BIBFRAME
Web 4.0	2020s (Emerging)	IoT, AI agents, symbiotic	Chatbots, IoT, AR/VR, predictive services
Web 5.0	Proposed	Decentralized, user-owned	Self-sovereign digital identities, decentralized publishing

In Summary

The journey from Web 1.0 to the emerging ideas of Web 5.0 reflects more than just technological change. It represents a fundamental shift in how libraries interact with their users. From static OPACs to AI-powered assistants, libraries have consistently embraced innovation to stay relevant, inclusive, and user-driven. As we look ahead, the next generation of library services will likely be more intelligent, autonomous, and privacy-preserving, giving users greater control while enabling libraries to provide deeply personalized and seamless experiences. With this continuous evolution in web technoogies, libraries remain at the forefront to implement them and bring changes that shape the future of learning.

References

Understanding Wikimedia Projects: Beyond Wikipedia

LibCognizance wiki projects , wikidata

The Wikimedia Foundation is a nonprofit organization that hosts and manages some of the world’s largest free knowledge projects. Its mission is to empower people around the globe to share and access knowledge freely. While Wikipedia is its most famous project, the Wikimedia family includes several other initiatives designed to preserve, organize, and disseminate information in various forms.

Understanding Wikimedia Projects: Beyond Wikipedia

Understanding Wikimedia Projects

Beyond Wikipedia: The Ecosystem of Free Knowledge

🌍 What Is Wikimedia?

The Wikimedia Foundation is a nonprofit organization that hosts and manages some of the world’s largest free knowledge projects. Its mission is to empower people around the globe to share and access knowledge freely. While Wikipedia is its most famous project, the Wikimedia family includes several other initiatives designed to preserve, organize, and disseminate information in various forms.

📚 Major Wikimedia Projects

Wikipedia

The world’s largest free encyclopedia, collaboratively written and constantly updated by volunteers worldwide. Articles span history, science, culture, and more.

Wikidata

A structured, machine-readable database that stores factual data used across Wikipedia and other Wikimedia projects. It ensures data consistency in multiple languages.

Wikimedia Commons

A vast repository of freely licensed images, videos, and audio files available for use in educational and creative works worldwide.

Wikisource

A digital library that hosts original texts, including laws, historical documents, and classical works in the public domain.

Wikibooks

A collaborative platform offering free, open-content textbooks and manuals covering a wide range of academic and technical subjects.

Wiktionary

A multilingual dictionary and thesaurus that includes definitions, etymologies, translations, and pronunciations across languages.

Wikiquote

A collection of verified quotations from notable figures, literary works, and cultural sources, promoting inspiration and thought.

Wikiversity

An open learning community that provides free educational resources, tutorials, and research materials for lifelong learners.

Wikivoyage

A free, collaborative travel guide that offers practical information, cultural insights, and destination advice from contributors worldwide.

Wikispecies

A directory of all forms of life, documenting species classification and biological taxonomy for use by researchers and enthusiasts.

💡 Why These Projects Matter

Together, Wikimedia projects form an interconnected ecosystem that preserves and spreads knowledge freely, without barriers of cost or access. They support education, cultural preservation, and scientific research on a global scale — empowering communities and promoting digital equity.

🔖 References

Buzzwords Unplugged: The Vocabulary Powering the Knowledge Age

LibCognizance

The world of information and knowledge is evolving faster than ever, driven by digital transformation, data-driven decision-making, and emerging technologies. Along with this growth comes a wave of terms that capture new trends, methods, and innovations. While some may sound overused, many of these words reflect real shifts in how we create, share, and apply knowledge.

Here are some impactful buzzwords in the information and knowledge domain. Whether you’re a librarian, researcher, or knowledge worker, understanding these terms will not only keep you updated but also help you navigate the changing landscape of information science.

Buzzwords: Information and knowledge domain

Misinformation

False or inaccurate information—getting the facts wrong.

Disinformation

False information which is deliberately intended to mislead—intentionally misstating the facts.

InfoSphere

A holistic ecosystem of interconnected information — the digital universe of data, platforms, and communication channels.

Datafication

Turning everyday activities into quantified data to enable analysis, automation, and decision-making.

Infodemic

An overwhelming flood of both accurate and misleading information, especially during a crisis, that makes finding reliable facts difficult.

Infonomics

Treating information as an economic asset — valuing, measuring, and managing data for business advantage.

InfoResilience

The ability to manage, adapt, and recover from information overload, disruptions, or misinformation.

Cognitive Computing

AI systems that mimic human thinking to process unstructured information and assist complex decision-making.

Knowledge Graphs

Structured networks that map relationships between people, concepts, and things to provide context-aware information.

Dark Data

Collected but unused or unanalyzed data that often remains hidden in systems, representing untapped value.

Zero-Knowledge Proofs (ZKP)

A cryptographic method that lets one party prove knowledge of information without revealing the information itself.

Algorithmic Transparency

Clarity about how algorithms process data and make decisions, for accountability and fairness.

Filter Bubble

A personalized content ecosystem where algorithms limit exposure to diverse viewpoints, creating informational isolation.

Digital Twin

A virtual replica of a physical system or object that is updated with real-world data to simulate and optimize performance.

Explainable AI (XAI)

Techniques that make machine decisions and information processes understandable to humans, improving trust and oversight.

Information Sovereignty

The right or policy to control where information is stored, who can access it, and under which legal jurisdiction.

Infodiversity

Ensuring a variety of perspectives and sources in information ecosystems to prevent dominance by a single viewpoint.

Data Feminism

An approach that centers equity and ethics in data practice, exposing bias and promoting inclusion in information systems.

Edge Intelligence

Processing and acting on information directly at devices (edge) rather than sending everything to centralized servers.

Semantic Interoperability

Ensuring diverse information systems share common meaning so that data exchanged is understood consistently.

Data Democratization

Making data and insights accessible to non-experts so more people can use information in decisions.

Information Hygiene

Practices such as fact-checking, source evaluation, and careful sharing to maintain quality and credibility of information.

Delhi High court banned Sci-Hub and Libgen in India

LibCognizance Access restricted , Libgen

The Delhi High Court has ordered the immediate blocking of shadow libraries like Sci-Hub and Libgen in India, directing MeitY and DoT to act within 72 hours. The move comes after publishers Elsevier, Wiley, and the American Chemical Society accused these sites of copyright violations and piracy. Many researchers and academic groups have defended Sci-Hub and Libgen, citing their importance for unfunded scholars and the Copyright Act’s provisions for fair use in research.

“Misinformation by Machine: The Rise of LLM Grooming in AI Systems”

LibCognizance Disinformation , LLM Grooming

Artificial intelligence has now become a part of the lives of researchers, writers, officials and general people, impacting their decisions and planning. But what if these LLM models, such as ChatGPT, Claude, Gemini, etc., are being massively fed with wrong information and leading the users in a direction not meant for them?

#ResponsibleAI #LLMGrooming #AITrust #misinformation #Disinformation

The term "LLM grooming" was brought to light by The American Sunlight Project (ASP) [1]. In a report, the term was introduced, which describes how disinformation is being propagated by AI. These algorithmic machines are being trained massively behind the curtain to change the perception of their users about some political propaganda. Researchers from the ASP identified and investigated a network of pro-Russia propaganda websites named the Pravda network. A key finding of their research was the belief that the Pravda network may have been custom-built to flood large language models (LLMs) with pro-Russia content.

In a special reality check report released by NewsGuard [2] recently in March 2025, it has been confirmed that a well-funded, Moscow-based "news" network, named Pravda (Russian for "truth"), has been deliberately infecting Western artificial intelligence (AI) tools with Russian propaganda. They are not directly influencing human readers; they are manipulating around 10 leading generative AI models to achieve their disinformation goals by saturating search results and web crawlers with pro-Kremlin falsehoods in a significant percentage of their responses.

The Atlantic Council's DFRLab also confirmed that major AI models have cited Pravda network content.