Frequently asked questions
About using RDL Tez and publishing your thesis.
General
What is RDL Tez?
RDL Tez is an open thesis archive that consolidates MSc and PhD theses into one open-access, full-text searchable archive.
Who can read theses?
Every open-access thesis is free for anyone to read.
How many theses are indexed?
More than 500K thesis records from 150+ universities and institutes, with tens of thousands of full-text PDFs.
Thesis upload
How do I upload my thesis?
Create a researcher account, verify with your university email, then go to “Upload thesis” and submit the PDF and metadata.
How long does verification take?
Approval from your university library usually completes within 5 business days; the thesis is then auto-published.
Can I edit after upload?
Metadata edits (keywords, abstract) go through a review window. Full-text PDF changes are stored as a new version.
Access & embargo
Can I place an embargo on my thesis?
Yes — for patents, trade secrets or pending publications you can pick an embargo of 6 months to 5 years. After it expires the thesis becomes open access automatically.
How do I read an embargoed thesis?
You can send an access request to the author/advisor. If approved, you get time-limited personal access.
What if I have a copyright concern?
Email info@rawdatalibrary.net for a detailed review; confirmed infringements are taken down within 48 hours.
University & institutional
How does my university open an institutional account?
Have your library write to info@rawdatalibrary.net. After a one-off onboarding you can bulk-upload all theses.
How does bulk upload work?
Use the institutional console with a CSV + PDF zip, or integrate via OAI-PMH.
How do I manage advisor and student relations?
Advisor assignments, institute changes and student records can all be batch-managed from the institutional console.
Search & discovery
Which fields can I search on?
Title, abstract, keywords, author, advisor, university, institute, department, language, year, type (MSc/PhD) and full text.
How advanced is filtering?
Elasticsearch-backed full-text search with synonym support and faceted filtering (year, university, language).
How is sorting done?
Default by relevance, alternatives by date, download count or citation count.
