Photo by A.Wilkinson / CC BY

This regular training course introduces PhD students to research support available during the course of their studies. It is relevant for all PhD students, whatever the stage reached in their project and is applicable to all disciplines.

The half-day session focuses on Research Integrity, Research Data Management, Data Protection, Research Ethics, Open Access and Research IT. The course highlights good practices in these areas, explains the expectations of researchers and points them to relevant UCL support services.

The next session will take place on Wednesday 27/03/2019 (10am-1pm).

Booking information is available on the Doctoral Skills Development Programme website.

What is TDM?  

There are various definitions of Text and Data Mining (TDM) which cover both the technicalities and utilities of the practice. The UK Intellectual Property Office (IPO) usefully define TDM as: ‘The use of automated analytical techniques to analyse text and data for patterns, trends and other useful information’. Even within TDM, there are different definitions for both text and data mining. Text mining is more commonly seen as the computational process of discovering and extracting knowledge from unstructured data. Data mining, on the other hand, is the computational process of discovering and extracting knowledge from structured data. There has been a surge of interest in the use of TDM in academia across all disciplines ranging from the sciences to the humanities. Yet undertaking TDM has also entailed a whole host of legal and political issues, which have nearly threatened to hinder the practice. These issues have largely centred around copyright, intellectual property rights, licenses and download limits. 

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Photo by Epic Fireworks / CC BY

This regular training course introduces PhD students to research support available during the course of their studies. It is relevant for all PhD students, whatever the stage reached in their project and is applicable to all disciplines.

The half-day session focuses on Research Integrity, Research Data Management, Data Protection, Research Ethics, Open Access and Research IT. The course highlights good practices in these areas, explains the expectations of researchers and points them to relevant UCL support services.

The next session will take place on Wednesday 30/01/2019 (2-5pm).

Booking information is available on the Doctoral Skills Development Programme website.

We are pleased to announce the following workshops and events taking place in the up and coming weeks.

Knowledge Quarter Codes Technical Social – 21 November 2018

The popular UCL Research Programming Technical Socials are now expanding under the name ‘Knowledge Quarter Codes’ in order to welcome participation from academic and industrial organisations across the Knowledge Quarter – the area within a 1-mile radius of King’s Cross station. This is an informal event aimed at anyone with an interest in the computational methods and technology behind research and innovation. The next event will be hosted by Prof. Luca Vigano from King’s College London on Explainable Security – a new paradigm in security research.

This event will take place in UCL’s Chandler House premises on the 21 of November from 5pm to 6:30pm. You can register for the event here.

Dive into Data Challenge 2019

UCL researchers from across all disciplines are cordially invited to take part in the Dive into Data Challenge 2019. Researchers are encouraged to develop novel and innovative ways to analyse and/or data from the Consumer Data Research Centre to gain insights into UCL’s Grand Challenges priority themes through data re-use. Participants will also have the chance to win a £500 prize and present their work at the UCL Conference in June 2019. 

• Deadline for expression of interest and brief summary submission is 18 January 2019.
• Any questions you have about the challenge can be answered at the next RITS drop-in sessions on 15 November and 12 December 10am-12pm.

More information on the challenge is available here: https://www.ucl.ac.uk/research/domains/eresearch/diveintodata

Digital Skills Development Opportunities

There are new dates available for Digital Skills Development courses and workshops for both staff and students. These workshops will cover sessions on Excel, Word, STATA, R, Unix, Photoshop plus many more. A weekly drop is also provided for individual guidance. A full schedule can be found here.

The Research Data Management and Research IT teams run regular drop-in sessions. These sessions are open to all UCL research staff and research students and will be attended by someone from the Research Data Management team as well as representatives from all of the RITS service areas; if you have any questions or problems related the following areas, you should find someone there who can help:

• research programming
• workflow automation
• finding tools and services for your research programmes
• high performance computing
• handling large datasets
• handling sensitive data
• data storage
• Research Data Management (including Data Management Plans).

There’s no need to book, but we can make sure there’ll be someone there to help with your problem if you email rits@ucl.ac.uk ideally two days before the session.

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Photo by A.Wilkinson / CC BY

This regular training course introduces PhD students to research support available during the course of their studies. It is relevant for all PhD students, whatever the stage reached in their project and is applicable to all disciplines.

The half-day session focuses on Research Integrity, Research Data Management, Data Protection, Research Ethics, Open Access and Research IT. The course highlights good practices in these areas, explains the expectations of researchers and points them to relevant UCL support services.

The last session of this academic year will take place on Tuesday 24/04 (10am-1pm).

Booking information is available on the Doctoral Skills Development Programme website.

The Research Data Management and Research IT teams run regular drop-in sessions. These sessions are open to all UCL research staff and research students and will be attended by someone from the Research Data Management team as well as representatives from all of the RITS service areas; if you have any questions or problems related the following areas, you should find someone there who can help:

• research programming
• workflow automation
• finding tools and services for your research programmes
• high performance computing
• handling large datasets
• handling sensitive data
• data storage
• Research Data Management (including Data Management Plans).

There’s no need to book, but we can make sure there’ll be someone there to help with your problem if you email rits@ucl.ac.uk ideally two days before the session.

(more…)

This regular training course introduces PhD students to research support available during the course of their studies. It is relevant for all PhD students, whatever the stage reached in their project and is applicable to all disciplines.

Each half-day session focuses on Research Integrity, Research Data Management, Data Protection, Research Ethics, Open Access and Research IT. The course highlights good practices in these areas, explains the expectations of researchers and points them to relevant UCL support services.

Two sessions will take place in Term 2: on Wednesdays 07/02 and 21/03 (2-5pm).

Booking information is available on the Doctoral Skills Development Programme website.

Students and staff can now book courses to develop their skills in a wide range of topics, including bibliographic software, data analysis, databases, graphic applications, SharePoint, UNIX, R, spreadsheets and more.

Digital skills drop-ins are also available during term time, on Wednesdays.

Find more information about dates, locations and how to book the courses.

The Wellcome has recently announced an updated policy on sharing research outputs. This policy develops their existing policies on Open Access publishing and research data to emphasise the importance of sharing research software and other research outputs.  This forms part of the Wellcome’s broader promotion of Open Research practices.

You can find the announcement of the Wellcome’s new policy on their website. If you need support with writing an ‘Outputs Management Plan’ for the Wellcome or another funders further guidance is available.