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Open data in Indian academia.where are we and where do we need to go?

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Starting 5 pts 0 followers
Christ (Deemed to be University) · Posted
Pharmaceutical Sciences

I want to start an honest conversation about something I have been thinking about for a while.

As a fourth-year PhD student, I have watched the academic publication ecosystem up close. The pressure to publish in high-impact journals has created perverse incentives:

  • Researchers cherry-pick results to show positive findings
  • Null results are systematically rejected
  • The same idea gets cut into multiple 'minimum publishable units' to inflate output
  • Citation rings inflate impact scores

What do you think? Is this a structural problem that needs policy-level intervention, or are there practical things individual researchers can do?

I am particularly interested in hearing from senior faculty who have seen this evolve over their careers.

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22 Replies

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Manish Tiwari Starting 10 pts · Accepted answer

For Zotero vs BibTeX management, I moved to Zotero + Better BibTeX 3 years ago and have not looked back.

My workflow:

  1. Zotero browser connector captures papers instantly from ArXiv, Google Scholar, ACM DL, IEEE Xplore
  2. Better BibTeX generates a clean .bib file that auto-updates whenever I add a paper
  3. Overleaf directly pulls from the .bib file via Dropbox sync

One tip: create a Zotero collection per paper/project. When you export the .bib, export only that collection to keep it clean.

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Replying to Manish Tiwari
Disha Malhotra Starting 8 pts · Accepted answer

The IEEE TPAMI turnaround in my case was 7 months for the first review. Plan accordingly.

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Replying to Manish Tiwari
Zara Hussain Growing 55 pts · Accepted answer

Could you clarify what you mean by results-blind review? I have heard of it but never understood how it works in practice. Wouldn't reviewers need to see results to evaluate whether the methodology is sound?

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Jagdish Rawat · Accepted answer

Highly recommend checking out the PMRF portal for the actual numbers.they update the stipend structure annually.

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Replying to Jagdish Rawat
Ekta Choudhary Starting 45 pts · Accepted answer

This is a known issue with XLM-R on code-mixed data. The MuRIL preprint has a section specifically comparing these.

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Replying to Jagdish Rawat
Sunil Bhattacharya Active 390 pts · Accepted answer

I am in a very similar situation. Would you be willing to share the outline of your PMRF proposal? Not the content.just the section headings and approximate word allocation.

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Yogesh Pandey Growing 70 pts · Accepted answer

Strongly agree with the point about choosing venues carefully. One paper in NeurIPS > five papers in obscure workshops.

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Replying to Yogesh Pandey
Wajid Khan Growing 110 pts · Accepted answer

Marking this as the accepted answer. Incredibly helpful and specific. Really appreciate you taking the time.

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Jaya Lakshmanan Growing 50 pts · Accepted answer

Thank you for this detailed answer! A quick follow-up: when you mention cosine learning rate with warm-up, are you warming up the LoRA parameters specifically or the entire model including the frozen backbone?

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Replying to Jaya Lakshmanan
Ashwin Murthy Distinguished 560 pts · Accepted answer

Could you clarify what you mean by results-blind review? I have heard of it but never understood how it works in practice. Wouldn't reviewers need to see results to evaluate whether the methodology is sound?

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Replying to Jaya Lakshmanan
Varsha Pillai Growing 60 pts · Accepted answer

This question comes up a lot. The answer really depends on your specific field and what your committee values.

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Replying to Jaya Lakshmanan
Chetan Jain Growing 100 pts · Accepted answer

Highly recommend checking out the PMRF portal for the actual numbers.they update the stipend structure annually.

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Jaya Lakshmanan Growing 50 pts · Accepted answer

I think you are conflating two separate problems here. The publish-or-perish culture creates pressure, yes.but the solution is not to criticize researchers who are navigating an unfair system. The real problem is with evaluation committees who treat publication count as a proxy for research quality. Fix the evaluation, and the incentives change.

Also worth noting: open review has been implemented in some fields and has its own problems. It can disadvantage early-career researchers who fear retaliation from senior colleagues they have reviewed critically.

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Harini Balakrishnan Active 215 pts · Accepted answer

I am in a very similar situation. Would you be willing to share the outline of your PMRF proposal? Not the content.just the section headings and approximate word allocation.

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Ashwin Murthy Distinguished 560 pts · Accepted answer

As a senior faculty member (25 years in the system), I want to offer a different perspective. Yes, the pressures are real. But I have also seen the other side: students who produce excellent work, publish honestly, and build reputations over time. The system is imperfect but not entirely broken.

What has actually helped my students: choosing venues carefully (a few strong papers rather than many weak ones), developing genuine collaborations rather than transactional coauthorships.

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Replying to Ashwin Murthy
Chirag Mehta Starting 15 pts · Accepted answer

Marking this as the accepted answer. Incredibly helpful and specific. Really appreciate you taking the time.

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Prakash Iyer Distinguished 640 pts · Accepted answer

Overleaf + GitHub integration is underrated. You get version control and collaboration in one place.

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Replying to Prakash Iyer
Rohan Desai Distinguished 950 pts · Accepted answer

Check whether your institution has a Springer/Elsevier waiver agreement.many NITs and IITs do.

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Replying to Prakash Iyer
Zara Hussain Growing 55 pts · Accepted answer

CSIR-UGC NET preparation: past papers are the most important resource. Everything else is secondary.

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Replying to Prakash Iyer
Arjun Venkatesan Growing 195 pts · Accepted answer

Overleaf + GitHub integration is underrated. You get version control and collaboration in one place.

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Zara Hussain Growing 55 pts · Accepted answer

This is a known issue with XLM-R on code-mixed data. The MuRIL preprint has a section specifically comparing these.

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Pooja Nambiar Growing 115 pts · Accepted answer

The ethics review situation in Indian universities is actually more complex than most people realize.

There is no uniform national framework equivalent to the US Common Rule. Each institution has its own Institutional Ethics Committee (IEC) or Institutional Review Board (IRB).

For anonymous survey research with no identifiable data and no vulnerable populations: most Indian IECs would classify this as exempt, but 'exempt' still needs a formal determination from the IEC.it is not self-certifying.

My practical advice: go to your institution's research ethics office now, describe what you did, and request an exempt determination in writing. Better to have documentation than to discover the issue during thesis review.