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	<title>UniResearch Community | Jun Shen | Activity</title>
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				<title>Jun Shen posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/961/#acomment-979</link>
				<pubDate>Tue, 08 Sep 2026 09:13:54 +0800</pubDate>

									<content:encoded><![CDATA[<p>Backup to two physically separate storage locations.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/bb-madelyn/" data-bb-hp-profile="5" rel="nofollow">Madelyn</a> posted an update <p><strong>Method Help</strong></p>
<p>Many researchers only organise data after paper acceptance. Poor archival practice creates reproducibility risks. What is your step‑by‑step routine to archive raw and [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Jun Shen posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/409/#acomment-441</link>
				<pubDate>Thu, 20 Aug 2026 14:14:27 +0800</pubDate>

									<content:encoded><![CDATA[<p>I totally agree. I got burned last quarter, results looked great on one dataset but completely failed in real‑world validation. Always do quick bias checks!</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/nathanphillips/" data-bb-hp-profile="307" rel="nofollow">Nathan Phillips</a> posted an update I’ve noticed many early‑stage researchers spend weeks picking suitable benchmarks. Some public datasets contain hidden distribution bias that can mislead model performance [&hellip;]					]]></content:encoded>
				
				
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