Review/add definitions based on PANORAMA feedback

[machintim]

Taken from daft report provided by Katherine Bishop k.bishop@sheffield.ac.uk

As discussed above, from the pre-equivalence workshop, it became apparent that the research team and IG professionals were using different terminology. Before the equivalence workshop, therefore, the research team introduced a new workshop to define terms. Key terms were selected and, as a pre-workshop exercise, each partner was asked to provide their individual definitions. During the terminology workshop, partners were asked to discuss the individual definitions and come to a consensus on the terms. Those terms would then be consulted as necessary during the equivalence exercise.
The terms selected were as follows:

Term	Glossary Ref	PANORAMA Suggestion
Data Governance	https://glossary.uktre.org/en/latest/#term-data-governance	A grouping of organisations with their own policies and assets (e.g. datasets or computing resources) who agree to allow use of those assets by the broader group but without the row level data leaving control or ownership of the organisation.
Information Governance	https://glossary.uktre.org/en/latest/#term-information-governance--ig-	The intentional management of all information assets within an organisation (for all data modalities) encompassing ethical, legal and compliance regulations, data security and protection, and information life cycle management.
Trust	NA	the belief that another person or organisation will do what is expected
Tolerance	NA	the parameters under which differences can be accepted and how the measurement or calculation might change over time and still be acceptable.
Equivalence	NA	The extent to which processes, procedures and policies can be seen as the same, must be defined by tangible measurable similarities
Ethics	NA	No agreed def
Data Ethics	NA	Data ethics is an emerging branch of applied ethics that studies and evaluates moral problems and describes the value judgements related to data (including generation, recording, curation, processing, dissemination, sharing and use), algorithms (including artificial intelligence, artificial agents, machine learning and robots) and corresponding practices (including responsible innovation, programming, hacking and professional codes), in order to formulate and support morally good solutions (for example right conducts or right values). Data ethics encompasses a sound knowledge of data protection law and other relevant legislation, and the appropriate use of new technologies. It requires a holistic approach incorporating good practice in computing techniques, ethics and information assurance
Research Ethics	NA	Research ethics refers to the moral principles and practices guiding research, from its inception through to completion and publication of results and beyond – for example, the curation of data and physical samples, knowledge exchange and impact activities after the research has been published.
Federation	https://glossary.uktre.org/en/latest/#term-federation	A grouping of organisations with their own policies and assets (e.g. datasets or computing resources) who agree to allow use of those assets by the broader group but without the row level data leaving control or ownership of the organisation.
Federated Analytics	NA	3 x defs in document

[manics]

Federation:

... without the row level data leaving control or ownership of the organisation.

I think the idea of this is fine, but is there a more general term we can use than "row level data" since we're not always dealing with tables/databases?

[manics]

The PANORAMA WP1 report also defines terms that initially caused confusion in PANORAMA. Are these general enough to be part of the glossary?

• Principles are highly general and focus on ‘why’ or ‘should be done’ in an ideal sense.
  Whilst they promote consistency, they lack detailed implementation instructions. They are not legally binding, but they may form the foundation for more concrete documents.
• Frameworks are overarching structures that set out the general terms and procedures under which future, specific agreements can be made. They are a set of practices rolled together and provide a mechanism to streamline future agreements without needing to renegotiate fundamental provisions each time. They formally set out the terms and conditions for future transactions.
• Agreements are specific understandings between parties that define precise obligations and terms for specific provisioning of services. They are highly detailed, covering the deliverables and specific obligations for particular transactions.