id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_djbb42egtvallo7mb46etkqcpe	Daniel Paul O'Donnell	Small, thick, and slow: Thinking about data and research publication in the Humanities in the age of Open and FAIR	2019	74	.pdf	application/pdf	3913	466	61	○ Not all humanities data are small or "representational" in focus ● Means history of "big" and small data techniques ○ Now working on 5 object "edition" of the cross in pre-conquest England ○ Their goal is to publish contextualised small-data datasets to ○ 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, textual research at the time and the needs of this big-data dictionary own big-data work analysis of individual data points or small datasets ■ Opens these small, thick, and slow datasets up to big data analysis ● Use Zenodo and GitHub to create an OPenn-like data repository, while 2. Presentation (versions) are also citable research objects (FAIR data AND ● While the ability to support Humanities data is there, the systems have not ● Supporting small, thick, and slow data is something that can be 	./cache/work_djbb42egtvallo7mb46etkqcpe.pdf	./txt/work_djbb42egtvallo7mb46etkqcpe.txt