DSpace 9

This site is running DSpace 9. For more information, see the DSpace 9 Release Notes.

DSpace is the world leading open source repository platform that enables organisations to:

  • easily ingest documents, audio, video, datasets and their corresponding Dublin Core metadata
  • open up this content to local and global audiences, thanks to the OAI-PMH interface and Google Scholar optimizations
  • issue permanent urls and trustworthy identifiers, including optional integrations with handle.net and DataCite DOI

Join an international community of leading institutions using DSpace.

The test user accounts below have their password set to the name of this software in lowercase.

  • Demo Site Administrator = dspacedemo+admin@gmail.com
  • Demo Community Administrator = dspacedemo+commadmin@gmail.com
  • Demo Collection Administrator = dspacedemo+colladmin@gmail.com
  • Demo Submitter = dspacedemo+submit@gmail.com
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Communities in DSpace

Select a community to browse its collections.

Now showing 1 - 5 of 6

Recent Submissions

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    The Silent Erasure: How India's Education System is sacrificing Liberal Arts at the altar of Commercialization
    (International Journal of Business & Management Research Studies, 2025-11-28) Vaishnav, Jaimine; Disawala, Hansika
    India's higher education landscape is witnessing an unprecedented transformation, marked by aggressive commercialization and an overwhelming obsession with technical and management education. This research article examines how the relentless pursuit of immediate employability and profit margins has systematically marginalized liberal arts and humanities education, despite mounting evidence that these disciplines cultivate critical competencies essential for holistic development and long-term career success. Drawing on recent enrolment statistics, employability data, and institutional trends, this paper argues that India's educational priorities are creating a generation of technically trained yet intellectually underdeveloped professionals, with serious implications for democratic discourse, innovation, and societal progress.
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    FDP on AI Tools for Teaching & Learning Excellence
    (ATLAS SkillTech University, 2025-10) Berad, Nilesh R.; Madan, Suman; Shekhawat, Sarika Chouhan; Ambulkar, Ameya; Upadhyay, Ekta; Subhedar, Mansi; Upadhyay, Satish; Diwakar, Anita; Swetha, Swarna
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    Cybersecurity Challenges in FinTech – Identifying Threats and Proposing Robust Defences
    (2025 International Conference on Emerging Trends in Industry 4.0 Technologies (ICETI4T), 2025-08) Madan, Suman; Mehndiratta, Jyoti; Chouhan, Sarika
    The rapid growth of the "Smart-everything" movement, alongside advancements in Artificial Intelligence (AI), has ushered in an era of highly sophisticated cyber threats. Unfortunately, traditional security measures often struggle to keep pace with these emerging challenges. This issue is particularly concerning in the realm of financial technology (FinTech), which relies heavily on data and operates around the clock. In this paper, we introduce a fresh and refined classification of security threats specific to FinTech. By highlighting the differences from existing frameworks, we aim to emphasize the novelty of our approach. Additionally, we conduct a thorough systematic review of the strategies currently employed to counter these threats. Using the PRISMA methodology and topic modeling, we identified key cyber threats discussed in recent research and paired them with the most effective defense strategies. Our review offers valuable insights for various stakeholders ranging from financial institutions to global regulators and sheds light on both the challenges facing FinTech today and the countermeasures available, while suggesting directions for future research.
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    Transforming Data to Decisions: AI-Driven Smart Governance and Digital literacy in India’s Public Policy Ecosystem
    (Journal of Informatics Education and Research, 2025-11) Verma, Shilpa; Madan, Suman
    This article discusses how Data Science and artificial intelligence (AI) are redefining public policy architecture in India. It looks at how technologies such as real-time analytics, predictive modelling, and adaptive decision-making are being integrated into governance by initiatives such as the India AI Mission, Digital India, and the National Data and Analytics Platform. These programs mark a substantial shift towards evidence-based policymaking, in which huge amount of data are used not just to improve the quality of services but also to forecast demand from the public and assess the actual impact of policy decisions.The paper focuses on how AI applications are influencing and shaping major sectors. In sector like healthcare, AI facilitates early disease detection and online diagnosis in remote areas. In field of education, data-intensive analysis helps in the identification of students who are prone of drop-out and also in the development of personalized learning programs. The agricultural sector benefits from the use of satellite imagery and machine learning to manage crop cycles and reduce climate-related hazards. Simultaneously, in urban areas, government employs modern data technologies to improve traffic management, public safety, and environmental monitoring.While these developments show the potential of digital governance, the article emphasizes the significance of ethical and legal safeguards. The implementation of the Digital Personal Data Protection Act (DPDPA 2023) is an important step toward tackling data privacy, algorithmic unfairness, and uneven access to digital infrastructure. Without rigorous regulation and inclusion, the technologies that empower citizens may exacerbate existing inequalities.
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    Adapting Corporate Valuation Models to the Technology Sector A Sector-Specific Framework Integrating Intangibles and User-Based Metrics
    (Journal of Theoretical Accounting Research, 2025) Deshmukh, Sanika; Bathia, Amit; Mehta, Apurva; Kappal, Jyoti Mehndiratta; Desai, Bineet; Thakker, Hemal
    Valuing technology firms poses challenges that are hard for multiples and customary models, such as for example Discounted Cash Flow (DCF), to address also. These approaches are widely used in practice while they rely heavily on concrete assets and short-term cash flows since much of the value embedded in intangibles and user ecosystems is underrepresented. Current practice remains fragmented. Analysts often use extra commentary on user metrics to help DCF or multiples while venture capitalists depend on exit models or scorecards, like monthly active users, ARPU, churn, or SaaS-specific measures like ARR multiples. Yet even these adjustments still lack any standardization. Furthermore, no one systematically integrates these adjustments within valuation models. This study proposes a programmable valuation framework specific for sectors embedding intangible-based measures (R&D capitalization, patent intensity, intangible-to-concrete ratios) and user-based metrics (MAUs, ARPU, CAC, churn) into valuation methodologies. Startups like UiPath and Palantir, growth firms like Shopify and Zoom, and mature giants like Apple and Microsoft show through tests of this framework how integrating the variables bridges the persistent gap from market capitalization to customary valuation outputs. The contribution represents a reproducible structured model as it moves past fragmented adjustments; it gives analysts, investors, plus policymakers a stronger tool for valuing technology-driven enterprises and valuation frameworks.