Eleven quick tips for finding research data

Siri Jodha Khalsa, William Michener, Fotis Psomopoulos, Mingfang Wu

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Over the past decades, science has experienced rapid growth in the volume of data available for research—from a relative paucity of data in many areas to what has been recently described as a data deluge [‎1]. Data volumes have increased exponentially across all fields of science and human endeavour, including data from sky, earth, and ocean observatories; social media such as Facebook and Twitter; wearable health-monitoring devices; gene sequences and protein structures; and climate simulations [‎2]. This brings opportunities to enable more research, especially cross-disciplinary research that could not be done before. However, it also introduces challenges in managing, describing, and making data findable, accessible, interoperable, and reusable by researchers [‎3].
Original languageAmerican English
JournalPLoS Computational Biology
Issue number4
StatePublished - Apr 1 2018


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