ImpactAlign Datasets & Schema Release: MultiLevel Accreditation Framework for Journals, Proposals, Projects, Manuscripts, Theses, and Institutional Reports Aligned with UN SDGs Vision 2030

Description ImpactAlign Dataset & Schema Release provides a multi‑level accreditation framework that strengthens transparency, reproducibility, and benchmarking across academia, institutions, and organizations. The dataset consolidates structured inputs including: Journal benchmarking batches (Z‑Category, E‑Journals, indexed journals) Input proforma datasets for proposals, projects, manuscripts, and theses Accreditation certification datasets for individuals and institutions Organizational accreditation reports aligned with UN SDGs Vision 2030 The schema documentation defines mandatory metadata fields, controlled vocabularies, and validation rules, ensuring reproducibility and interoperability across platforms. Datasets are released in CSV, JSON, and PDF formats, compatible with R, Python, Excel, and dashboard integration. Licensing follows CC‑BY 4.0, promoting open access and global collaboration. This release integrates with the Shehnaz Index and national journal directory, providing accreditation pathways from individual → institutional → organizational → global SDG compliance. It empowers stakeholders—including students, faculty, researchers, universities, governmental agencies, NGOs, and private firms—to demonstrate measurable contributions to sustainable development under Vision 2030.