= #DataBanking "is a term of reference which enables us to discuss the public or common benefits and interests of shared data and its ownership."
"As a term of reference, it proposes a distinction between (whilst acknowledging the many overlaps) Intellectual Property (IP) assets and Data assets. An early working definition of the distinction between these might be along these lines:
Data refers to information held about data subjects, usually by 3rd parties, but also by the subjects themselves. By proposing the ‘banking’ of such data, we are putting forwards a public or common method of holding our own data in ways which can be of use collectively, which respect our rights as humans and individuals to control our own private data and also recognise the inherent values and costs of assembling such data so as to realise appropriate benefits, charges or taxes for it’s private use and application.
In this way, #DataBanking distinguishes from #CultureBanking, which concerns the same dynamics of equitably mixing private ownership, benefits and use with shared ownership, benefits and use for intellectual property assets.
* Commons Taxes
Broadly, #databanking and #culturebanking engage similar areas of IP law as both are largely governed by the laws of copyright and so, from an operative point of view cannot be separated.. There is an intellectual discussion to be had about how important it is to distinguish genuinely ‘original’ artistic or scientific creation and invention from similar ‘creation’ stemming from the manipulation of data, but, essentially both terms refer to the generalised principles of fluid and joint collective and private management and ownership of data and IP for public benefit and crucially for purposes of raising taxes.
A computer language or code, for example could be #culturebanked (tax monies raised from its use) but it’s application in producing a database of, say people’s voting habits, would be a matter of #databanking. Both processes might lead to the collection of public or common taxes and both processes contain a necessary element of auditing for private or shared interests. As such, the process of both #databanking and #culturebanking is essentially and audit based process, initially, which then engages tools to apportion things like ‘open-ness’, visibility, accountability and apportionment of shared and/or private value." (email, December 2019)
- See also Harberger’s Taxation.
*Early examples of #databanking: See Sensyne Health and Chelsea and Westminster Hospital example: https://www.healthcare.digital/single-post/2018/08/05/Sensyne-Health-Chelsea-and-Westminster-Hospital-NHS-Foundation-Trust-sign-Strategic-Research-Agreement-for-Clinical-AI