id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_tbhzy7ji4zhqhac6sz66cico2i	Daniel Paul O'Donnell	Small, Thick, and Slow: Towards an Open and FAIR data culture in the Humanities	2019	40	.pdf	application/pdf	3045	289	63	○ Not all humanities data are small or "representational" in focus 1. Humanities "data," unlike science "capta," are almost always practically ○ Intensive curation and analysis of small data sets remains a major (meta)data use a formal, accessible, shared, and (meta)data use vocabularies that follow FAIR ○ Publication of Data as "First class research object" is inherent in several small data researchers — whether digital or traditional the production and consumption of Humanities research data ○ Work within the traditional Humanities research workflow ○ Encourage traditional Humanities researchers to work within ours ● As long as FAIR data publication means, in essence, publishing small, and publishers (i.e. small data datasets) ○ A workflow that encourages small-data researchers to prepare their analysis of individual data points or small datasets ■ Opens these small, thick, and slow datasets up to big data analysis approach to FAIR data publication in the Humanities	./cache/work_tbhzy7ji4zhqhac6sz66cico2i.pdf	./txt/work_tbhzy7ji4zhqhac6sz66cico2i.txt