Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Sign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTerms
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Recommendations on data sharing in HIV drug resistance research

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
en
2023

Recommendations on data sharing in HIV drug resistance research

0 Datasets

0 Files

en
2023
Vol 20 (9)
Vol. 20
DOI: 10.1371/journal.pmed.1004293

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
John P A Ioannidis
John P A Ioannidis

Stanford University

Verified
Seth Inzaule
Mark J. Siedner
Susan J. Little
+43 more

Abstract

• Human immunodeficiency virus (HIV) drug resistance has implications for antiretroviral treatment strategies and for containing the HIV pandemic because the development of HIV drug resistance leads to the requirement for antiretroviral drugs that may be less effective, less well-tolerated, and more expensive than those used in first-line regimens. • HIV drug resistance studies are designed to determine which HIV mutations are selected by antiretroviral drugs and, in turn, how these mutations affect antiretroviral drug susceptibility and response to future antiretroviral treatment regimens. • Such studies collectively form a vital knowledge base essential for monitoring global HIV drug resistance trends, interpreting HIV genotypic tests, and updating HIV treatment guidelines. • Although HIV drug resistance data are collected in many studies, such data are often not publicly shared, prompting the need to recommend best practices to encourage and standardize HIV drug resistance data sharing. • In contrast to other viruses, sharing HIV sequences from phylogenetic studies of transmission dynamics requires additional precautions as HIV transmission is criminalized in many countries and regions. • Our recommendations are designed to ensure that the data that contribute to HIV drug resistance knowledge will be available without undue hardship to those publishing HIV drug resistance studies and without risk to people living with HIV.

How to cite this publication

Seth Inzaule, Mark J. Siedner, Susan J. Little, Santiago Ávila‐Ríos, Alisen Ayitewala, Ronald J. Bosch, Vincent Cálvez, Francesca Ceccherini‐Silberstein, Charlotte Charpentier, Diane Descamps, Susan H. Eshleman, Joseph Fokam, Lisa M. Frenkel, Ravindra K. Gupta, John P A Ioannidis, Pontiano Kaleebu, Rami Kantor, Seble Kassaye, Sergei L. Kosakovsky Pond, Vinie Kouamou, Roger D. Kouyos, Daniel R. Kuritzkes, Richard Lessells, Anne‐Geneviève Marcelin, Lawrence Mbuagbaw, Brian Minalga, Nicaise Ndembi, Richard A. Neher, Roger Paredes, Deenan Pillay, Elliot Raizes, Soo‐Yon Rhee, Douglas D. Richman, Kiat Ruxrungtham, Pardis C. Sabeti, Jonathan Schapiro, Sunee Sirivichayakul, Kim Steegen, Wataru Sugiura, Gert U. van Zyl, Anne‐Mieke Vandamme, Annemarie M. J. Wensing, Joel O. Wertheim, Huldrych F. Günthard, Michael R. Jordan, Robert W. Shafer (2023). Recommendations on data sharing in HIV drug resistance research. , 20(9), DOI: https://doi.org/10.1371/journal.pmed.1004293.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2023

Authors

46

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1371/journal.pmed.1004293

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access