Data Exclusivity Debate: Civil Society Groups Push for Affordable Medicines

Wednesday, 26 November 2025, 04:51

Data exclusivity is a contentious issue as civil society groups urge the government to abandon proposed drug regulatory provisions. Advocates emphasize that data exclusivity would unfairly extend monopolies and inflate drug prices, limiting access to generics and affordability. This pushback highlights the importance of protecting public health initiatives.
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Data Exclusivity Debate: Civil Society Groups Push for Affordable Medicines

Understanding the Concerns Over Data Exclusivity

Data exclusivity (DE) presents a significant challenge to the accessibility of affordable medicines. Civil society groups, including the Association of Persons Living with HIV & AIDS, have voiced strong opposition to the government's potential adoption of DE in drug regulations. They argue that DE could lead to prolonged monopolies, inflating prices, and jeopardizing the availability of generics in the market.

Implications of Data Exclusivity on Drug Prices

Organizations warn that implementation of DE would prevent regulators from utilizing existing clinical trial data necessary for approving generics or biosimilars. Critics highlighting experiences from countries like Jordan note that such provisions often result in a lack of generic competition, placing affordability at risk.

Debate on Foreign Investments and Affordable Alternatives

  • Commerce Minister Goyal's claim linking DE to $150 billion investment fails to convince activists.
  • Affordable alternatives, like the generic spinal muscular atrophy drug, exemplify DE's potential to delay crucial lower-cost medications.

Advocates emphasize that India has resisted data exclusivity for decades, prioritizing public health and maintaining a leadership role in supplying medicines to developing nations.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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