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Social scientists' data search needs unmet by current systems · 1 source tracked

By PulseAugur Editorial · [1 sources] ·

A study of 72 social science researchers revealed a significant gap between their genuine information needs for research data and the capabilities of current data search systems. The researchers expressed complex needs related to topic, metadata, and intention, which often do not align with existing metadata schemes and search functionalities in data archives and online repositories. This mismatch hinders the effective identification and reuse of research data, despite the widely held expectation that publishing data increases its impact. AI

IMPACT Highlights challenges in AI-driven data discovery for researchers, suggesting a need for improved metadata and search capabilities.

RANK_REASON The item is an academic paper detailing research findings on information retrieval for social scientists. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Social scientists' data search needs unmet by current systems · 1 source tracked

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The item is an academic paper detailing research findings on information retrieval for social scientists. [lever_c_demoted from research: ic=1 ai=0.7]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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paper, other
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High
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44 days old
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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Dagmar Kern ·

    Genuine Information Needs of Social Scientists Looking for Data

    Publishing research data is widely expected to increase its reuse and to inspire new research. In the social sciences, data from surveys, interviews, polls, and statistics are primary resources for research. There is a long tradition to collect and offer research data in data arc…

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