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Professional Standards

The Data Science Foundation requires that all members uphold high professional standards and deal fairly with all stakeholders including clients, suppliers and staff. The reputation of the Data Science Foundation, its members and the well-being of the Big Data and the Data Science Industry will ultimately be based on the actions and practices of our members. To help us to maintain high standards, we encourage all members to follow the Code of Conduct.

CODE OF CONDUCT

 

The Data Science Foundation Code of Conduct applies to all members. We encourage businesses of all sizes to join our organisation and participate in discussions and networking to foster growth, development and better understanding across industries.

OUR CODE OF CONDUCT

Promotion of Good Practices

Promotion of Good Practices

 

We adhere to the fact that data scientists should follow best practices at all times, and never encourage or suggest a business or client take actions that are or could be construed as criminal or unethical. All members will strive to provide competent services at all times.

Integrity and Honesty

Integrity and Honesty

We believe in the value and importance of integrity and honesty in all interactions and transactions, whether providing informal advice, a formal project plan, or visualised data for information dissemination.

Capability and Expertise

Capability and Expertise

The Foundation advocates for more formal guidelines in terms of professional capability and expertise, and works with leading education centres and universities to develop degree courses to this end.

Transparency

Transparency

The Data Science Foundation advocates for transparency at all levels, both within the Foundation and within partner organisations, educational institutions and government agencies. We believe in being forthright and direct, with no hidden agenda.

Confidentiality

Confidentiality

Confidentiality is an essential consideration, particularly with sensitive business data. We adhere to the strictest confidentiality stipulations to safeguard these vital business and organisation assets. Information created, developed, used or learned in the course of employment with a particular client, business or organisation is considered completely confidential.

Security

Security

All members must ensure that data is secure at all times, safeguarded from all threats, including but not limited to viruses, malware, internal and external hacking attempts, theft, and accident. All members must utilise industry-standard software/hardware to ensure data security at all times.

Professional Standards

Professional Standards

We require all members of the Foundation to adhere to strict professional standards regarding integrity, honesty, quality, confidentiality and more. We also enforce professional standards in terms of working practice, data quality, and standards of evidence. Misuse or misrepresentation of data is not permissible. The Foundation practices strict enforcement of professional standards, and repercussions can include expulsion from the Foundation.

General Membership Policy

General Membership Policy

Our general membership policy applies to all members, including corporate members. Members are granted several key benefits, including access to Foundation publications, the ability to join discussions and forums, to network with others in the data science industry and more. The Data Science Foundation offers different membership options, including corporate membership and associate membership, each of which delivers unique benefits and advantages.

Use of the Data Science Foundation

Use of the Data Science Foundation logo

Upon becoming a member of the Data Science Foundation you will be provided with access to your own Dashboard and will have access to Data Science Foundation member only information and services. You may also host our logo on your website, provided the logo links through to the datascience.foundation website and adheres to our brand guidelines.

Disclaimers

 

The Data Science Foundation will take all reasonable measures to check the information supplied by members, but accepts no responsibility for the accuracy or validity of assertions or claims made by Member Companies in their Member Company Application Form. The Data Science Foundation accepts no responsibility for services provided by members to their clients, but will investigate all complaints and will cancel the membership of any person or organisation found to be in breach of the Code of Conduct.

Get in touch

 

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