Alliance formed to create new professional standards for data science

23 Jul 2021 02:30 PM

A new alliance has been formed to create industry-wide professional standards for data science. ‘The Alliance for Data Science Professionals’ is defining the standards needed to ensure an ethical and well-governed approach so the public, organisations and governments can have confidence in how their data is used.

While the skills of data scientists are increasingly in demand, there is currently no professional framework for those working in the field. These new industry-wide standards, which will be finalised by the Autumn, look to address current issues, such as data breaches, the misuse of data in modelling and bias in artificial intelligence. They can give people confidence that their data is being used ethically, stored safely and analysed robustly.

The Alliance members, who initially convened in July 2020, are BCS, The Chartered Institute for IT, the Royal Statistical Society (RSS), the Operational Research Society, the Institute of Mathematics and its Applications, The Alan Turing Institute and the National Physical Laboratory (NPL). They are supported by the Royal Academy of Engineering and the Royal Society.

Since convening, the Alliance has worked with volunteers and stakeholders to develop draft standards for individuals, standards for universities seeking accreditation of their courses and a certification process that will enable both individuals and education providers to gain recognition based on skills and knowledge within data science.

Governed by a memorandum of understanding, the Alliance is committed to:

Paul Fletcher, CEO - BCS, The Chartered Institute for IT, said:

“We are excited to be working with our alliance partners to define and manage standards in the burgeoning area of data science. The pandemic period has further demonstrated that data science provides significant value in creating insight and improving decision making.”

Stian Westlake, CEO of the Royal Statistical Society, said:

“Data science can be a powerful tool for businesses and governments. But just like established fields like engineering or medicine, it needs good standards to ensure it is used wisely and well. The Alliance will play an important role in setting standards for those working in data science to help organisations make the most of cutting-edge new approaches, and so that we can all have confidence that our data is in good hands.”

Matthew Forshaw, National Skills Lead at The Alan Turing Institute, said:

“We are delighted to contribute to the valuable work of the Alliance, to ensure data science and AI training meets the needs of the current and future workforce. The Alliance’s members are ideally positioned to address ambiguities around data skills definitions, ensure the consistent application of standards across industries, and maintain these standards to accurately represent emerging skills needs. The Alliance will play a significant role in establishing and upholding the professional values necessary to ensure ethical, fair and safe professional practices around data and AI.”

Dr Peter Thompson FREng FIOP FRSC CEng, CEO of NPL, said:

“We provide confidence in data from physical measurements as a leading National Laboratory and the UKs National Metrology Institute. Working alongside world leading Learned Societies is an excellent opportunity to support us in providing this confidence.”

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