Page Comparison

Term

Definition

C level leader

In an organization, personnel holding roles such as CEO, CFO, CTO, COO with executive and strategy level decision- making capacities

Citizen data scientist

Individual within an organization who, despite lacking formal training in data science, utilizes data analysis tools and techniques to extract insights from data. These individuals often come from various backgrounds, such as business, marketing, or operations, and possess domain-specific expertise. Citizen Data Scientists leverage self-service analytics platforms, intuitive data visualization tools, and automated machine learning algorithms to explore datasets, generate reports, and uncover patterns or trends relevant to their roles.

Community Manager

Person who organizes groups of people around shared aims - see https://the-turing-way.netlify.app/collaboration/research-infrastructure-roles/community-manager.html

Community of Practice

A community of practice (CoP) is a group of people who share a common interest, profession, or expertise and come together to learn from each other, share knowledge, and collaborate on solving common problems.

Community of Practice

CSCCE Community Participation Model

Community of Practice Organiser

An individual or group responsible for facilitating and managing a community of practice (CoP). The organizer's role involves coordinating meetings, events, and activities for the community, creating channels for communication and knowledge sharing, and fostering a supportive and inclusive environment where members feel comfortable exchanging ideas and experiences. They may also be involved in recruiting new members, setting goals and objectives for the community, and ensuring that it remains vibrant and relevant to its members' needs and interests.

Data actionability

Synonymous with machine actionable data - a property of the data that enables it to be acted upon my machines, presumably by being identifiable in some way by the agent as being of a specific type, for which defined actions/process are expected to be enabled

Data architect

A role in an organization focusing on processes, models and frameworks that manage the generation, use and governance of data in the most optimal form

Data Contract

The manifestation of expected properties for particular 'data' with respect to format compliance, internally consistent, and probably specification of the 'type' of the data, which enables defined services or operations to be performed on it

Data mesh

An approach to address the problems of scaling data in large organizations, which promotes treating data as a product and organizing data architecture around business needs rather than technical or functional boundaries.

Data scientist

See also “researcher” . Data Scientists  find, compile, clean, preprocess and analyze complex datasets.. They interpret data trends, develop predictive models, and communicate findings to inform strategic decision-making. Data Scientists also design experiments, possess expertise in statistical methods, programming, data visualization, database management, and may have domain-specific knowledge.

Data steward

A data steward refers to the lead role in a data governance project. Data Stewards take ownership of the data and work with the business to define the programme's objectives.

The role of a Data Steward is specifically tasked with maintaining data control in data governance and master data management initiatives on a day-to-day basis. Data Stewardship is required for data implementation and data management to succeed. An example of what they may do to achieve this is drafting the data quality rules which their data is measured against.

Domain

A domain is typically a broad area of study, for example BioSciences, Life Sciences. These may be divided into ‘sub-domains’ which are more specific, for example microbial genetics, plant phenotyping

Enterprise

A large-scale commercial entity engaged in economic activities, such as production, distribution, or services, with the primary goal of generating profit. Enterprises vary widely in size, structure, and scope, ranging from small businesses to multinational corporations. They often involve complex organizational structures, such as departments, divisions, and subsidiaries, and may operate in multiple industries or geographic locations. Enterprises typically employ a significant number of people and utilize diverse resources, including capital, technology, and human expertise, to achieve their business objectives and meet the needs of customers or clients.

FAIR

An established acronym for the aspirational principles defined elsewhere (ref), indicating Findable, Accessible, Interoperable, Reusable.

FAIR architect

a role in an organization specifically tasks with developing processes to deliver FAIR data and services

FAIR Digital Object

A FDO is an information entity composed by a persistent identifier (PID) such as a DOI resolving to a PID Record that gives the object a type along with a mechanism to retrieve its bit sequences, metadata and references to possible operations according to the FAIR principles.

Fake FAIR

Refers to instances in which the term FAIR is used but the underlying principles (or their semantic meaning) are ignored or deliberately misinterpreted,

FIP

FAIR Implementation Profile

Governance

Governance is a key element of community building, providing a means for conflict resolution and reconciliation.

GUPRI

globally unique persistent resolvable identifier.

KG / Knowledge Graph

knowledge graph: a type of data structure defined by nodes and edges, where nodes represent entities and edges, represent relationships between entities.

knowledge enabled citizen

Organization member who is empowered with access to information, possesses critical thinking skills, and is digitally literate, enabling them to contribute effectively to the organization's goals and objectives.

Machine actionable data

Data is machine actionable when machines can perform automated processing based on the object type information about the supported operations that can be applied to the object.

Machine interpretable data

Data is machine interpretable when described with semantic artefacts to interpret the nature of the digital object.

Machine readable data

Data is machine-readable if it is structured using knowledge representation languages (such as JSON, JSON-LD, RDF, XML)

Machine-ready data

Machine-ready data adheres to specific data standards, such as consistent formatting, well-defined data types, and clear labeling, making it readily interpretable by automated systems. It includes metadata that provides contextual information about the dataset, further enhancing its usability for machine-based analysis.

MDM

Master Data Management

MVP

Minimum viable product is a version of a product with just enough features to be usable by early customers who can then provide feedback for future product development.

A focus on releasing an MVP means that developers potentially avoid lengthy and unnecessary work. MVP represents a more entreprise relevant outcome compared to POV/POC, which may not be pursued or supported further.

Ontologist

An expert in knowledge representation and ontology building,

Operating Model

The framework or blueprint that defines how an organization delivers value to its stakeholders, executes its strategies, and manages its resources to achieve its objectives. It encompasses the processes, structures, systems, and capabilities that are necessary to support the organization's business activities and functions effectively.

The operating model provides a detailed description of how different parts of the organization interact, collaborate, and operate to fulfill its mission and vision. It outlines the allocation of resources, roles and responsibilities, decision-making processes, and performance metrics that govern the organization's day-to-day operations.

PID

Persistent Identifiers

POV/POC

proof of value/proof of concept correspond to exploratory work to demonstrate feasibility and potential value. these are prerequisite to decide on future investments, prioritization efforts and scaling

RDM

Reference Data Management (NB: also stands for Research Data Management).

Researcher

A person engaged in conducting research, possibly recognized as an occupation by a formal job title. While a researchers produces and uses data, they are not necessarily data scientists (see: data scientist).

RFP

Request for Proposal: a formal process requesting suppliers for an offering regarding one or several capabilities

Subject matter expert

A subject matter expert (SME) is a person with deep domain knowledge, often as a practitioner of the area of knowledge. SME are often consulted by knowledge engineers and ontologists in what is known as 'knowledge elicitation exercice' to express use cases and concepts which are then organized and modeled in semantic artifact by knowledge engineers. (NB: also stands for Small to Medium Enterprise).