Developing a Code of Conduct for the Data Science and Analytics Sector
The Data Science Foundation is reviewing its Code of Conduct and the services it delivers to members. A six-month consultation period will commence January 2018 with both internal and external stakeholders from industry, education and government. In advance of this we are inviting members to participate in a fact-finding exercise that will help to shape the debate. Below this introduction you will see five questions, we would be grateful if you would send your responses by email.
Looking back the Foundation has had a tremendous 2017; increasing membership numbers, developing contacts, offering members more online functionality including the development of Personal Profile Pages, Published By Pages, Messaging Facilities and the development of the Discussion Forum. We will be launching a major new initiative with a partner at Big Data LND on 15th November and will follow this up with the launch of the Data Science Writer of the Year Awards 2018.
It is now time to look forward, if you are a member of the Data Science Foundation, please participate in the debate to develop a Code of Conduct for the Data Science and Analytics Sector, to help form the services we deliver and to have your say in how the sector is represented. If you are not yet a member but have a professional interest in data and advanced analytics, become a member and join the debate. Membership is free for individuals: https://datascience.foundation/joinus
Code of Conduct Initial Questions
Please email your answers to firstname.lastname@example.org
Use the subject line Code of Conduct.
Please answer the following questions:
- Would you support a Code of Conduct for the Data Science and Analytics sector?
- Should the code focus on professional, ethical or moral standards or all three?
- What should be included in the Code of Conduct? Please provide a short description
- What services would you like the Data Science Foundation to provide?
- Would participate in the debate? The debate will initially be conducted by email questionnaire and then online discussion
About the Data Science Foundation
The Data Science Foundation is a professional body representing the interests of people working in the data science and advanced analytics sector. Our membership consists of both users and suppliers of data services as well as universities offering data science courses and their students. The foundation aims to create an active community of data scientists, to provide a platform to share ideas and to support professional development. All members of the foundation are provided with an online Profile page and a Published By page, which showcases all articles and papers published for peer review.
The primary aims of the Data Science Foundation are to:
- Create a community of qualified and highly skilled data science professionals
- Provide the data science community with a forum to share ideas and support professional development
- Develop approved professional standards that differentiate members from others working in the data science and advanced analytics sector
The Data Science Foundation is working to:
- Raise the profile of data science in the UK, to educate business people about the benefits of knowledge-based decision making and to encourage firms to make optimal use of their data.
- Launch an education programme which includes seminars covering topics such as; ‘Helping business people understand big data’ and ‘Helping data scientists communicate with business people’. An ‘Introduction to data science’ talk will be offered to schools.
- Improve the way organizations use their data; by helping organizations form partnerships with universities and consultancies.
The foundation’s website has been built as a communications platform, a publishing tool and as a means for members to procure expertise or obtain employment. The site is a source of information for the media and for those interested in learning about data science.
We will ensure that the website:
- Contains extensive and accurate information about big data and data science education
- Displays accurate records of corporate, supplier, individual and associate members
- Is the ideal place to find a data science provider and to start a data science project
- Creates employment for members via the CV board
- Publishes the most sought-after job opportunities from leading firms
- Becomes a platform that allows individuals to gain recognition for their expertise and become leading figures within the industry
Code of Conduct
The Data Science Foundation Code of Conduct applies to all members.
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
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
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.
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 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.
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.
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
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.