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Data Curation Insights: Interview with Helen Lippell, metadata manager at the Press Association

The fourth interview of the Data Curation Insights-series is now available on our website.

Edward Curry, BIG-member and member of the Digital Enterprise Research Institute at the National University of Ireland, Galway (NUIG), arranged an interview with Helen Lippell, metadata manager at the Press Association (PA)—one of the partner organizations of BIG project. As a metadata manager, her work includes introducing metadata descriptiors into their core content and thereby applying more semantic information to content in order to package it more flexibly. She is an industry professional and has been working in it for 15 years. She started working in media and financial publishing organizations including The Financial Times, BBC.

During the Interview, Helen not only talks about the changes to the industry due to the sheer increase in data volume but also explains, how data curation is being processed in her organization and how many different types of newsworthy data is curated as the PA is extremely diverse.

See all interviews here!
 

Interested in data curation news? Follow Edward Curry @EdwardACurry on Twitter.
The next interview will be published soon! Don't miss it and follow us on twitter @BIG_FP7.

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Data Curation Insights: Interview with Helen Berman, director of RCSB Protein Data Bank

The third interview of the Data Curation Insights-series is now available on our website.

Edward Curry, BIG-member and member of the Digital Enterprise Research Institute at the National University of Ireland, Galway (NUIG), arranged an interview with Professor Helen M. Berman, director of the RCSB Protein Data Bank—one of the member organizations of the Worldwide Protein Data Bank and a Board of Governors Professor of Chemistry and Chemical Biology at Rutgers University. A structural biologist, her work includes structural analysis of protein-nucleic acid complexes, and the role of water in molecular interactions. She is also the founder and director of the Nucleic Acid Database, and leads the Protein Structure Initiative Structural Genomics Knowledge Base.

The interview gives insights into Helen's background at the Protein Data Bank, where she has been involved for more than 40 years and where a high value has always been placed on the value of big data with extensive meta data curation, even though this view was not shared at the time.

During the Interview, Helen not only talks about the value of meta data for big data but also explains the development which lead to the current situation, how they treat data curation currently and how they see it in the future.
See all interviews here!
 

Interested in data curation news? Follow Edward Curry @EdwardACurry on Twitter.
The next interview will be published soon! Don't miss it and follow us on twitter @BIG_FP7.

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eHealth Interview with Marco Viceconti

Sonja Zillner (Siemens) and John Domingue (STI) conducted an Interview with Marco Viceconti- a ‘Sector Visionary’ within the eHealth sector. Marco’s main work over the last few years has been leading the VPH Institute (Virtual Physiological Human) which has been the large initiative within the eHealth unit as well. The overall goal of this work has been on combining data and computational models from across Europe to instantiate a complete in silico model of the human biological system from the whole body level down to the cell level.

During the interview, the most interesting concepts were:  

  • a k-anonymity membrane - where on one side we have specific patient data which must be controlled and on the other anonymised versions which can be used for research. Sometimes one needs to pass data back to a specific patient because of analysis carried out in research. Having a two way membrane would be useful.
  • a eHealth data value chain - at the moment health data which is passed around is 100% observational (e.g. blood pressure or heart rate) being able to smoothly combine this with data resulting from computational models would be of great benefit.

You can watch the whole interview via the standard interface, as a small version or  with a large video window with the ability to jump to specific segments. 

The interview is also available as an audio-only mp3 file

For further information about our project or information about big data and the Health sector, please visit our website.

Interview with Andreas Ribbrock Team Lead Big Data Analytics and Senior Architect at Teradata GmbH

Big Data Analysis Interview with Andreas Ribbrock, Team Lead Big Data Analytics and Senior Architect at Teradata GmbH, is online now:

In his interview Andreas talked about three classes of technologies required for Big Data: storage (advocating distributed file systems as a competitive way to handle these); query frameworks which can translate from user queries to a set of different query engines (calling it a 'discovery platform'); and a platform which can handle the delivery of the right results to the right personnel in the right time frame.

Andreas also stressed that integration is key as Big Data can not be solved by any single technology but requires a suite of technologies to be tightly integrated. In general, any architecture/framework for Big Data must be open and adaptable as new technologies/components are plugged in. Fabric computing where components are virtualized and allow data flow at high speeds was a possible approach to solve this.

In terms of impact two key drivers are the ability for Big Data to allow companies to personalise their communication with clients and also how user communication channels will change. On the one hand, one can integrate channels for energy consumption, phone use, banking. On the other, users may prefer their own channels (which produce a lot of data) and impose these on enterprises in specific markets. e.g. traditional banks may soon become obsolete as their functionality is taken by PayPal (a TeraData customer), Amazon and Google.

He ended the interview with the phrase: Big Data is Big Fun!

Big Data Analysis Interview with Steve Harris Chief Technology Officer at Garlik, an Experian Company

steve_harris

Check new Big Data Analysis Interview with Steve Harris, Chief Technology Officer at Garlik, an Experian Company available in the following formats:

The company that Steve is associated with has as its main focus the prediction and detection of financial fraud through the use of their customised RDF store and SPARQL. They harvest several terabytes of raw data from chat-rooms and forums associated with hackers and generate around 1B RDF triples based on this. In terms of areas that need work Steve's suggestion was the optimisation of the the performance of these stores. We also discussed the need to make sure that the infrastructure was economically viable and that training of staff to use RDF/SPARQL was not a big issue.

Steve Harris is a lead design and development of a multi million user product in the financial services industry at Garlik, Experian Company. In the Semantic Web community, he is widely regarded as the architect of Garlik's open source, scalable RDF platform, 5store, and has served on the World Wide Web Consortium (W3C) working groups that defined the SPARQL query [1].

Big Data Analysis Interview with Ricardo Baeza-Yates VP of Research for Europe and Latin America at Yahoo!

Ricardo Baeza-Yates

Check out new Big Data analysis interview with Ricardo Baeza-Yates, VP of Research for Europe and Latin America at Yahoo!

 

 

The main suggested themes to invest in by Ricardo are:

a) what he called Hadoop++ the ability to handle graphs with trillions of edges as MapReduce doesn't scale well for graphs; and b) stream data mining - the ability to handle streams of large volumes of data. Handling lots of data in a 'reasonable' amount of time is key for Ricardo - for example, being able to carry out offline computations within a week rather than a year.

Additional point of interest of Ricardo was personalisation and its relation to privacy. Rather than personalising based on user data we should personalise around user tasks. More details in the interview!

Ricardo Baeza-Yates is VP of Research for Europe and Latin America, leading the Yahoo! Research labs at Barcelona, Spain and Santiago, Chile, and also supervising the lab in Haifa, Israel. Until 2005 he was the director of the Center for Web Research at the Department of Computer Science of the Engineering School  of the University of Chile; and ICREA Professor and founder of the Web Research Group at the Dept. of Information and Communication Technologies of Universitat Pompeu Fabra in Barcelona, Spain [1].

Big Data Analysis Interview with Bill Thompson

Big Data Analysis Interview with Bill Thompson, head of the Partnership Development Archive BBC is now available!

 
 
 

 
According to Bill Thompson, the term Big Data as a general label is to be viewed sceptically, as to his mind there is nothing fundamentally new in computer science terms.However, he does agree that there are certain technologies that should be invested in. Especially the EU should invest from a public service point of view to counteract large companies that will focus purely on areas for profit. 
He also provided two UK-related analogies that should be avoided:  Firstly, UK schools having to suffer in computer science education because MS Office was adopted and secondly big pharma not investing in cures for Malaria.
 
Furthermore, he thinks that it is very important that the EU invests from a public service point of view to counteract the big companies that will focus purely on areas for profit. He gave 2 analogies that we might want to avoid: UK schools having to suffer in computer science education because MS Office was adopted; and big pharma not investing in cures for Malaria. 
 
Bill Thompson, Head of the Partnership Development within the BBC Archives Development group, is an English technology journalist, commentator and writer, best known for his weekly column in the Technology section of BBC News Online and his appearances on Click, a radio show on the BBC World Service

 

Big Data Analysis Interview with Peter Mika, Senior Scientist at Yahoo! Research Labs in Barcelona

New Big Data analysis interview with Peter Mika is out:

Within the standard interface

As an MP3 audio file

As a small video-only window

As a large video window with ability to jump to a specific segment

The main theme for Peter was on using a machine learning, information extraction and semantic web technologies to reduce Big Data into more manageable chunks and how combined with new programming paradigms such as Hadoop we could now accomplish more. Background knowledge (in a simple form) enables Yahoo1 to understand that "Brad Pitt Fight Club" is a search for a movie with Brad Pitt playing the role of disambiguation.

Peter Mika is a researcher working on the topic of semantic search at Yahoo Research in Barcelona, Spain. Peter also serves as a Data Architect for Yahoo Search, advising the team on issues related to knowledge representation. Peter is a frequent speaker at events, a regular contributor to the Semantic Web Gang podcast series and a blogger at tripletalk.wordpress.com [1].

Big Data Analysis Interview with Jeni Tennison, Technical Director of the Open Data Institute

Jeni Tennison

Big data analysis interview with Jeni Tennison, Technical Director of the Open Data Institute, interviewed by John Domingue is out:

 

 

Within the standard interface

As an MP3 audio file

As a small video-only window

As a large video window

Jeni discussed how open data can be found and combined to serve decision making. A key technology of interest, pointed out by Jeni, was discovery of datasets that are distributed in the internet and tools that allow achieving this in  an automated way.

Within the wider UK public sector, Jeni Tennison worked on the early linked data work on data.gov.uk, helping to engineer new standards for the publication of statistics as linked data; building APIs for geographic, transport and education data; and supporting the publication of public sector organograms as open data. She continues her work within the UK's public sector as a member of both the UK Government Linked Data Group and the Open Data User Group [1].

Big Data Analysis Interview with Prasanna Lal Das, Lead Program Officer Controllers World Bank

Big Data Analysis Interview with Prasanna Lal Das, Lead Program Officer (Knowledge & Innovation) at The World Bank is now available online:

The interview covered how he sees Big Data can help tackle poverty and proactively address corruption by support decision making based on real-time data. On behalf of  Prasanna we would like to stress out that the opinion provided in the interview and Prasanna himself should not be regarded as an expert in poverty or anti-corruption measures.

Prasanna Lal Das  is senior program officer, Office of the Controller, World Bank. He is a content strategist and KM practitioner with experience in journalism, computer games design, and management consulting. 

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by Dr. Radut