Tagged with "workshops"
LIS DREaM Workshop 3
Category: Member Blogs
Tags: Research Workshops LISDREaM

The third and final LIS DREaM workshop saw us all returning to Scotland for another visit to the Craighouse Campus of Edinburgh Napier University. First, though, I thought it would be useful to point anybody who isn't aware it towards the DREaM workshop web page. Now that the workshops are finished, it's full of information about all the different research methods that were discussed; including videos, audio, slideshows and interviews with all of the speakers. There was also plenty of discussion on Twitter, under the #lis_dream4 hashtag.

The three speakers covered the following topics:

Horizon scanningDr Harry Woodroof:

The first session, on Horizon Scanning, was an interesting overview of how to predict future trends using information that's freely available on the Internet. Horizon Scanning has become a key part of Governmental evidence gathering, which aims to move us beyond a reliance upon existing knowledge on which to base future policy. Harry presented two different techniques, as practiced by the Defence Science and Technology Laboratory and the Horizon Scanning Centre respectively.

One of the most interesting points about Harry's talk was the way in which it harnesses the knowledge available on the Internet in a positive way. It's fascinating to hear that the Internet is providing a tool that many researchers are exploiting in imaginative and academically rigorous ways. Barring instances where commercially or politically sensitive information isn't available online, both the techniques relied entirely upon the interrogation of publicly available information.

Techniques from psychology – repertory gridsDr Phil Turner, Edinburgh Napier University

I found Phil Turner's talk interesting for a different reason; his engaging overview of the theoretical background that led to the development of repertory grids: known as Personal Construct Theory, it emerged from a theory of psychology that concentrates on the concept of humans as scientists. It argues that each person creates their own theoretical framework in order to understand the world around them, and that we are also the effective embodiment of this framework. Repertory grids tap into this individual construct by asking participants to classify a number of carefully chosen objects by similarity and difference.

Phil also explained his own work with this technique, where he looked at individual attachments to objects in order to see whether people were more or less attached to digital objects, such as phones and laptops, than physical ones. I'd love to see further work to see whether the conclusions he found still hold true about born-digital objects such as MP3 files when compared to physical media!

Introduction to data miningKevin Swingler, Stirling University

Kevin's overview of data mining gave an excellent and clear overview of an extremely complicated process: using large-scale datasets to allow computers to 'learn' from existing trends in order to predict future behaviour, classify objects or cluster objects by similarity. While it's something that I wouldn't feel comfortable using in my own work, due to its considerable complexity, I did take away an overview of its possibilities and limitations as a methodology. Kevin also underlined a number of points that researchers working with any form of data should be aware of: data preparation is absolutely key to any research task, and his suggestions for cleaning, processing and assessing data for suitability are extremely pertinent to all data researchers. As the saying goes, "rubbish in, rubbish out."

Impact snakes and ladders: workshop exercise on links between research and its impact on practice,

We finished the day with some group work, considering ways to increase the impact of LIS research upon practice. For me, the importance of collaboration stood out across all the group discussions: not only between researchers and practitioners, but also within the profession itself. Hopefully some of the contacts and knowledge gained through this series of workshops will help with this process!

While this was the last workshop, there's still one more opportunity to be involved at the DREaM Conference at the British Library on the 9th July. I'm not sure yet whether I'll be able to attend, but I'll definitely be following online if not!

Finally, I wanted to say thank you to all the organisers for their hard work in making such a thought-provoking and informative series of workshops for us. The whole series was consistently engaging and well organised, and I hope that everybody involved got as much from them as I did.

Techniques from History
Category: Member Blogs
Tags: DREaM Project Workshops presentation research method

There were a couple of themes that caught my attention in Tom Haigh's presentation. He said that historians like to tell stories and I think they are not alone. We all like to hear a good story and often use stories to recount something or use it to represent a viewpoint or example of how something happened. For example oral history - interviews with people involved in a topic or their experience of a war, working in a type of industry that is no longer operating.

Hearing people's stories have becoming increasingly popular and used as case studies and or examples of good practice. 

Different historical approaches included: intellectual history; social history, cultural history, institutional history and history of practice/labour. In relation to history and information science he identified 'Information History' apparently coined by Alistair Black. I will need to check that with Dr John Crawford an ex colleague of mine who is interested in this area and knows Alistair as well as Toni Weller who was mentioned. Information history includes history of libraries, books, reading, publishing; Information Disciplines; Information Society.

The workshop task to create a group of 4 or 5 people and identify a member of the group who is actively engaged in a research project that could make use of the historical approaches was useful as it made participants think of practical applications from the presentation.

For the full details see / hear Tom Haigh's presentation

 

Introduction to webometrics
Category: Member Blogs
Tags: Research workshops methods- DREaM workshop webometrics

I enjoyed Mike Thelwall@ introduction to webometrics. Gathering data from websites has come a long way since I used this research method as part of my Information Management Degree dissertation. Then (2000 - 2001) I manually analyzed data from Scottish Business Gateway websites for information re competitive intelligence. This was then followed up by telephone interviews.

It is interesting from a professional point of view but concerning from a personal point of view how much information can be gained about you from the web in particular social media. In preparation for the workshop and Mike's presentation workshop, participants had some homework to do. To join YouTube and leave comments on a video, replying to each others comments. Part of the analysis was based on self declared age and gender information from YouTube.

However one of the problems with this is the reliability of people self declaring their date of birth, the system then uses this to calculate the persons age. I decided to check out the privacy settings and ticked the box to say not to display this information. This was not because I didn't want people to see my age but to see what if anything was displayed within the analysis. The result was that no age was displayed for me but one participants age showed as 111!  See the analysis chart along with a summary,  PowerPoint slides a and video of Mike's presentation.

Returning to reliability, this is not unique to this research method as all forms of data are subject to reliability whether it is in survey's, interviews etc.   

The other concern people have about giving their real date of birth is related to the information being used in financial security checks. 

The presentation was a good overview of webometrics:

  • what it is - gathering, processing and analysing large scale data from the web
  • what it can offer researchers - a method to extract useful patterns
  • webometric analyst software.

 

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