Inclusive Data Research Skills for Arts and Humanities/What counts as data?

In an arts and humanities context, what counts as data can be any observable traces of interactions and occurrences. In arts and humanities research, any of a vast and complex set of recordable observations and artifacts fit into some definition of “data”, and the contextual issues around their interpretation depend on the form of data that is being dealt with. The following page is an attempt to provide broad categorisations and distinctions between different kinds of data, and address some of the challenges in their use.

The absence of data also constitutes data (was something destroyed or lost, is something disregarded or in a foreign language or physically/digitally inaccessible, etc.).

Potential Categorisations

Data categorisations are influenced by a variety of factors including research objectives, research questions, research design, existing standards within a specific discipline, approaches to information interpretation, nature of sources of information, and psychological connotations, among others. How researchers collect data also plays an important role in how this data is then perceived, categorised and analysed.

Qualitative and quantitative data

Researchers’ objectives determine the methods used and approach to data. Depending on the aims of the research and research questions, data could fit into qualitative and quantitative categories. For example, surveys can provide both qualitative and quantitative data depending: what % of people answered yes or no to certain questions? OR describe, interpret and contextualise each response.

Qualitative

Oral histories and interviews
Archival text
Artwork and media objects
Free text responses to surveys

Quantitative

Website analytics
Census records
Datasets

Analogue and digital data

The nature of the sources of data determines if we can classify data as analogue (physical) or digital.

Analogue Data - Trace of interaction with the surrounding world through time.

Research objectives and questions also influence the classification of data as analogue or digital. For instance, a book historian analysing a digitised version of a manuscript would consider it to be a source of analogue/physical data, while a researcher analysing the level of digitisation of a collection would most likely consider it to be a digital source.

Analogue/physical:

artworks/objects,
books,
manuscripts,
documents,
photographs,
slides,
Negatives,
Maps
Desire paths

Digital data:

Website analytics
Digital scans of physical/analogue items
Videography
Films / documentaries
Digital files of photographs
Comments from social media
E-books
Voice records
Datasets
Online / app usage

Subjective and objective data

Subjective

Autoethnographic data
Opinions / perspectives
Diaries
Cultural background differences
Physical ability
Experiential data

Objective

Census records (for certain demographics and when answering specific questions within traditional, pre-existing societal categories)
Materials, ie that constitute an artwork
Chemical analysis, X-ray, etc.

Data Resources

Datasets

Kaggle.com
Google.com
Kanopy.com
The British Library
Museums
Office for National Statistics
Government data (from data.gov.uk)
People (through interviews/surveys)
Office for National Statistics
Police Data
UK Data Service

Online archives

Bishopsgate Institute
New York Public Library
Discover Europe’s digital cultural heritage | Europeana
Images search | Wellcome Collection
Courtauld Gallery Online Collections
Social-networking photo sharing platforms like Instagram, Facebook, Twitter etc.
The Met Museum