SlideShare uma empresa Scribd logo
1 de 20
A Review of My “Access to UCAS University Course Data” PitchTSO OpenUP 2011 Tony Hirst Department of Communication and Systems The Open University
A point of clarification….
Meshes with data.UNI.ac.uk course data Framework for consumer facing course and university comparison sites “Construction site scaffolding”, Magnus Franklin (magnusfranklin)
B2B – Address Data Exchange UCAS HEI HEI HEI
B2B – Address Data Exchange LD UCAS HEI HEI HEI
B2B – Address Data Exchange LD UCAS HEI HEI HEI
LD UCAS B2B – Address Data Exchange HEI HEI HEI
Complements recent JISC initiatives
B2C “Meerkat”, William Warby (wwarby)
University funding (March 2010) (data) University Pay (March 2010) (data) University Guide (student survey) (2009/10) (data) University drop-out rates (June 2009) (data) University building repair (February 2010) (data)
“Graduation Cake Guy”, David Goehring (carbonNYC)
courseExpectations.com DATA POWERED
Graph structured website for lap-based research, designed for 11-13” screens (laptops, tablets)
Admissions DataEmployment DataRAE DataQAA reportsSCONUL reports(et al. from Guardian datastore) “Ingredients”, Robin (fotoosvanrobin) Course data from UCAS*Student Survey Data
Course Related Content ,[object Object]
 Content   recommendations
Marketing Paid Ads (Facebook, trad media websites, The Student Room, NUS) HumourousYoutube video 6th form/college evangelists JISC Announcements JISC Project meetings/ funding calls DevCSI and #dev8d
The competition…?
? Revenue Forecasts

Mais conteúdo relacionado

Mais procurados

Ten new Universities join MyUniversity-project's Super Portal!
Ten new Universities join MyUniversity-project's Super Portal!Ten new Universities join MyUniversity-project's Super Portal!
Ten new Universities join MyUniversity-project's Super Portal!
MyUniversity project
 

Mais procurados (16)

Open Data Initiatives – Empowering Students to Make More Informed Choices? - ...
Open Data Initiatives – Empowering Students to Make More Informed Choices? - ...Open Data Initiatives – Empowering Students to Make More Informed Choices? - ...
Open Data Initiatives – Empowering Students to Make More Informed Choices? - ...
 
JISC LIDP ILI2011
JISC LIDP ILI2011JISC LIDP ILI2011
JISC LIDP ILI2011
 
FOT-NET DATA project
FOT-NET DATA projectFOT-NET DATA project
FOT-NET DATA project
 
Using jisc's JUSP and CCM services effectively to manage resources - Jisc Dig...
Using jisc's JUSP and CCM services effectively to manage resources - Jisc Dig...Using jisc's JUSP and CCM services effectively to manage resources - Jisc Dig...
Using jisc's JUSP and CCM services effectively to manage resources - Jisc Dig...
 
Reproducibility: A Funder and Data Science Perspective
Reproducibility: A Funder and Data Science PerspectiveReproducibility: A Funder and Data Science Perspective
Reproducibility: A Funder and Data Science Perspective
 
Showcasing research data tools - Jisc Digifest 2016
Showcasing research data tools - Jisc Digifest 2016Showcasing research data tools - Jisc Digifest 2016
Showcasing research data tools - Jisc Digifest 2016
 
Ten new Universities join MyUniversity-project's Super Portal!
Ten new Universities join MyUniversity-project's Super Portal!Ten new Universities join MyUniversity-project's Super Portal!
Ten new Universities join MyUniversity-project's Super Portal!
 
An Introduction to 2011 Census Geography
An Introduction to 2011 Census GeographyAn Introduction to 2011 Census Geography
An Introduction to 2011 Census Geography
 
Opening Research Data in EU Universities: Policies, Motivators and Challenges
Opening Research Data in EU Universities: Policies, Motivators and ChallengesOpening Research Data in EU Universities: Policies, Motivators and Challenges
Opening Research Data in EU Universities: Policies, Motivators and Challenges
 
Open Science at the University of Edinburgh
Open Science at the University of EdinburghOpen Science at the University of Edinburgh
Open Science at the University of Edinburgh
 
Open Data in the UK - API Days 2016
Open Data in the UK - API Days 2016Open Data in the UK - API Days 2016
Open Data in the UK - API Days 2016
 
Statbel and big data
Statbel and big dataStatbel and big data
Statbel and big data
 
Project MILDRED: Charting Ground for Research Data Management Services at Uni...
Project MILDRED: Charting Ground for Research Data Management Services at Uni...Project MILDRED: Charting Ground for Research Data Management Services at Uni...
Project MILDRED: Charting Ground for Research Data Management Services at Uni...
 
UKRISS - Harmonised Core Information Reporting Profile
UKRISS - Harmonised Core Information Reporting ProfileUKRISS - Harmonised Core Information Reporting Profile
UKRISS - Harmonised Core Information Reporting Profile
 
OERinfo
OERinfoOERinfo
OERinfo
 
LinuxCon 2010 Education Mini-Summit: The State of Open Data in Education
LinuxCon 2010 Education Mini-Summit: The State of Open Data in EducationLinuxCon 2010 Education Mini-Summit: The State of Open Data in Education
LinuxCon 2010 Education Mini-Summit: The State of Open Data in Education
 

Destaque (9)

Lincoln2013 feb
Lincoln2013 febLincoln2013 feb
Lincoln2013 feb
 
Devxs
DevxsDevxs
Devxs
 
Uncourse to shortcourse
Uncourse to shortcourseUncourse to shortcourse
Uncourse to shortcourse
 
Jibs keynote (draft)
Jibs keynote (draft)Jibs keynote (draft)
Jibs keynote (draft)
 
Social digitalresearcher
Social digitalresearcherSocial digitalresearcher
Social digitalresearcher
 
Infoskills challenges
Infoskills challengesInfoskills challenges
Infoskills challenges
 
Open standards and open data
Open standards and open dataOpen standards and open data
Open standards and open data
 
Exploiting Structured Course Materials
Exploiting Structured Course MaterialsExploiting Structured Course Materials
Exploiting Structured Course Materials
 
Guug11 mashing up-google_apps
Guug11 mashing up-google_appsGuug11 mashing up-google_apps
Guug11 mashing up-google_apps
 

Semelhante a Tso ucas

OKCon 2013, LinkedUp & Open Education
OKCon 2013, LinkedUp & Open EducationOKCon 2013, LinkedUp & Open Education
OKCon 2013, LinkedUp & Open Education
Stefan Dietze
 
2011 07 19 portal
2011 07 19 portal2011 07 19 portal
2011 07 19 portal
cohenja
 
WWW2014 Tutorial: Online Learning & Linked Data - Lessons Learned
WWW2014 Tutorial: Online Learning & Linked Data - Lessons LearnedWWW2014 Tutorial: Online Learning & Linked Data - Lessons Learned
WWW2014 Tutorial: Online Learning & Linked Data - Lessons Learned
Stefan Dietze
 

Semelhante a Tso ucas (20)

Interlinking Data and Knowledge in Enterprises, Research and Society with Lin...
Interlinking Data and Knowledge in Enterprises, Research and Society with Lin...Interlinking Data and Knowledge in Enterprises, Research and Society with Lin...
Interlinking Data and Knowledge in Enterprises, Research and Society with Lin...
 
Information is beautiful
Information is beautifulInformation is beautiful
Information is beautiful
 
Introduction to Data Science 1113.pptx
Introduction to Data Science 1113.pptxIntroduction to Data Science 1113.pptx
Introduction to Data Science 1113.pptx
 
GI Management Transformation: from geometry to databased relationships
GI Management Transformation: from geometry to databased relationshipsGI Management Transformation: from geometry to databased relationships
GI Management Transformation: from geometry to databased relationships
 
Access To Online Databases Predicate For Faculty Research Output
Access To Online Databases  Predicate For Faculty Research OutputAccess To Online Databases  Predicate For Faculty Research Output
Access To Online Databases Predicate For Faculty Research Output
 
Open Education Challenge 2014: exploiting Linked Data in Educational Applicat...
Open Education Challenge 2014: exploiting Linked Data in Educational Applicat...Open Education Challenge 2014: exploiting Linked Data in Educational Applicat...
Open Education Challenge 2014: exploiting Linked Data in Educational Applicat...
 
Digital Humanities in a Linked Data World - Semnantic Annotations
Digital Humanities in a Linked Data World - Semnantic AnnotationsDigital Humanities in a Linked Data World - Semnantic Annotations
Digital Humanities in a Linked Data World - Semnantic Annotations
 
Usp dh 2013
Usp dh 2013Usp dh 2013
Usp dh 2013
 
June 18 NISO Virtual Conference: Keynote Speaker: Altmetrics at the Portfolio...
June 18 NISO Virtual Conference: Keynote Speaker: Altmetrics at the Portfolio...June 18 NISO Virtual Conference: Keynote Speaker: Altmetrics at the Portfolio...
June 18 NISO Virtual Conference: Keynote Speaker: Altmetrics at the Portfolio...
 
Learning Analytics - UTS 2013
Learning Analytics - UTS 2013Learning Analytics - UTS 2013
Learning Analytics - UTS 2013
 
OKCon 2013, LinkedUp & Open Education
OKCon 2013, LinkedUp & Open EducationOKCon 2013, LinkedUp & Open Education
OKCon 2013, LinkedUp & Open Education
 
Dh usp 2013
Dh usp 2013Dh usp 2013
Dh usp 2013
 
2011 07 19 portal
2011 07 19 portal2011 07 19 portal
2011 07 19 portal
 
Learning Analytics (or: The Data Tsunami Hits Higher Education)
Learning Analytics (or: The Data Tsunami Hits Higher Education)Learning Analytics (or: The Data Tsunami Hits Higher Education)
Learning Analytics (or: The Data Tsunami Hits Higher Education)
 
Cloud Computing and Higher Education Financial Crisis
Cloud Computing and Higher Education Financial CrisisCloud Computing and Higher Education Financial Crisis
Cloud Computing and Higher Education Financial Crisis
 
2016-05-31 Venia Legendi (CEITER): Adolfo Ruiz Calleja
2016-05-31 Venia Legendi (CEITER): Adolfo Ruiz Calleja2016-05-31 Venia Legendi (CEITER): Adolfo Ruiz Calleja
2016-05-31 Venia Legendi (CEITER): Adolfo Ruiz Calleja
 
WDAqua ITN – Answering Questions using Web Data
WDAqua ITN – Answering Questions using Web DataWDAqua ITN – Answering Questions using Web Data
WDAqua ITN – Answering Questions using Web Data
 
Linked Data Tutorial (Florianópolis)
Linked Data Tutorial (Florianópolis)Linked Data Tutorial (Florianópolis)
Linked Data Tutorial (Florianópolis)
 
WWW2014 Tutorial: Online Learning & Linked Data - Lessons Learned
WWW2014 Tutorial: Online Learning & Linked Data - Lessons LearnedWWW2014 Tutorial: Online Learning & Linked Data - Lessons Learned
WWW2014 Tutorial: Online Learning & Linked Data - Lessons Learned
 
Datatization as the Next Frontier of Servitization
Datatization as the Next Frontier of ServitizationDatatization as the Next Frontier of Servitization
Datatization as the Next Frontier of Servitization
 

Mais de Tony Hirst

Inspiring content - You Don't Need Big Data to Tell Good Data Stories
Inspiring content - You Don't Need Big Data to Tell Good Data Stories Inspiring content - You Don't Need Big Data to Tell Good Data Stories
Inspiring content - You Don't Need Big Data to Tell Good Data Stories
Tony Hirst
 
Lincoln jun14datajournalism
Lincoln jun14datajournalismLincoln jun14datajournalism
Lincoln jun14datajournalism
Tony Hirst
 

Mais de Tony Hirst (20)

15 in 20 research fiesta
15 in 20 research fiesta15 in 20 research fiesta
15 in 20 research fiesta
 
Dev8d jupyter
Dev8d jupyterDev8d jupyter
Dev8d jupyter
 
Ili 16 robot
Ili 16 robotIli 16 robot
Ili 16 robot
 
Jupyternotebooks ou.pptx
Jupyternotebooks ou.pptxJupyternotebooks ou.pptx
Jupyternotebooks ou.pptx
 
Virtual computing.pptx
Virtual computing.pptxVirtual computing.pptx
Virtual computing.pptx
 
ouseful-parlihacks
ouseful-parlihacksouseful-parlihacks
ouseful-parlihacks
 
Gors appropriate
Gors appropriateGors appropriate
Gors appropriate
 
Gors appropriate
Gors appropriateGors appropriate
Gors appropriate
 
Robotlab jupyter
Robotlab   jupyterRobotlab   jupyter
Robotlab jupyter
 
Fco open data in half day th-v2
Fco open data in half day  th-v2Fco open data in half day  th-v2
Fco open data in half day th-v2
 
Notes on the Future - ILI2015 Workshop
Notes on the Future - ILI2015 WorkshopNotes on the Future - ILI2015 Workshop
Notes on the Future - ILI2015 Workshop
 
Community Journalism Conf - hyperlocal data wire
Community Journalism Conf - hyperlocal data wireCommunity Journalism Conf - hyperlocal data wire
Community Journalism Conf - hyperlocal data wire
 
Residential school 2015_robotics_interest
Residential school 2015_robotics_interestResidential school 2015_robotics_interest
Residential school 2015_robotics_interest
 
Data Mining - Separating Fact From Fiction - NetIKX
Data Mining - Separating Fact From Fiction - NetIKXData Mining - Separating Fact From Fiction - NetIKX
Data Mining - Separating Fact From Fiction - NetIKX
 
Week4
Week4Week4
Week4
 
A Quick Tour of OpenRefine
A Quick Tour of OpenRefineA Quick Tour of OpenRefine
A Quick Tour of OpenRefine
 
Conversations with data
Conversations with dataConversations with data
Conversations with data
 
Data reuse OU workshop bingo
Data reuse OU workshop bingoData reuse OU workshop bingo
Data reuse OU workshop bingo
 
Inspiring content - You Don't Need Big Data to Tell Good Data Stories
Inspiring content - You Don't Need Big Data to Tell Good Data Stories Inspiring content - You Don't Need Big Data to Tell Good Data Stories
Inspiring content - You Don't Need Big Data to Tell Good Data Stories
 
Lincoln jun14datajournalism
Lincoln jun14datajournalismLincoln jun14datajournalism
Lincoln jun14datajournalism
 

Último

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Último (20)

DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot ModelNavi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 

Tso ucas

Notas do Editor

  1. Tony HirstSocial media:@psychemediaBlog: http://blog.ouseful.infoPresentation prepared for: TSO OpenUP CompetitionAffiliation: Department of Communication and Systems, The Open UniversitySuggested hashtag: #ucasdata
  2. I thought the competition was as much about opening up the data as anything… So the original idea was simply that it would be really handy to have machine readable access to course code and course name information for UK HE courses from UCAS – which is presumably the closest thing we have to a national catalogue of higher education courses.But when selected to pitch the idea, it became clear that an application or two were also required, or at least some good business reasons for opening up this data…So here we go…
  3. UCAS [ http://www.ucas.ac.uk/ ] is the clearing house for applying to university in the UK. It maintains a comprehensive directory of HE courses available in the UK.Postgraduate students and Open University students do not go through UCAS. Other direct entry routes to higher education courses may also be available.According to UCAS, in 2010, there were 697,351 applicants with 487,329 acceptances, compared with 639,860 applications and 481,854 acceptances in 2009. [ http://www.ucas.ac.uk/about_us/media_enquiries/media_releases/2011/finalendofyearfigure2010 Slightly different figures in end of cycle report 2009/10? http://www.ucas.com/documents/mediareleases/endofyearreport.pdf ]For convenience, hold in mind the thought that course codes could be to course marketing, what postcodes are for geo related applications… They provide a natural identifier that other things can be associated with.Associated with each degree course is a course code. UCAS course codes are also associated with JACS codes – Joint Academic Coding System identifiers – that relate to particular topics of study. “The UCAS course codes have no meaning other than "this course is offered by this institution for this application cycle".” http://www.ucas.com/he_staff/courses/jacs/codingprinciples“UCAS course code is 4 character reference which can be any combination of letters and numbers.Each course is also assigned up to three JACS (Joint Academic Coding System) codes in order to classify the course for *J purposes. The JACS system was introduced for 2002 entry, and replaced UCAS Standard Classification of Academic Subjects (SCAS). Each JACS code consists of a single letter followed by 3 numbers. JACS is divided into subject areas, with a related initial letter for each. JACS codes are allocated to courses for the *J return.The JACS system is used by the Higher Education Statistics Agency (HESA), and is the result of a joint UCAS-HESA subject code harmonization project.JACS is also used by UK institutions to identify the subject matter of programmes and modules. These institutions include the Department for Innovation, Universities and Skills (DIUS), the Home Office and the Higher Education Funding Council for England (HEFCE).”---Keywords: up to 10 keywords per course are allocated to each course from a restricted list of just over 4,500 valid keywords.“Main keyword: This is generally a broad subject category, usually expressed as a single word, for example 'Business'.Suggested keyword (SUG): Where a search on a main keyword identifies more than 200 courses, the Course Search user is prompted to select from a set of secondary keywords or phrases. These are the more specific 'Suggested keywords' attached to the courses identified. For example, 'Business Administration' is one of a range of 'Suggested keywords' which could be attached to a Business course (there are more than 60 others to choose from). A course in Business Administration would typically have this as the 'Suggested keyword', with 'Business' as the main keyword.However, if a course only has a 'Suggested keyword' and not a related 'Main keyword', the course will not be displayed in any search under the 'Main keyword' alone.Single subject: Main keywords can be ticked as 'Single subject'. This means that the course will be displayed by a keyword search on the subject, when the user chooses the 'single subject' option below. You may have a maximum of two keywords indicated as single subjects per course.”“Between January and March 2010, approximately 600,000 unique IP addresses access the UCAS course code search function. During the same time period, almost 5 million unique IP addresses accessed the UCAS subject search function.”http://www.ucas.com/he_staff/courses/coursesearchkeywords---“New courses from 2012 will be given UCAS codes that should not be used for subject classification purposes. However, all courses will still be assigned up to three individual JACS3 codes based on the subject content of the course.An analysis of unique IP address activity on the UCAS Course Search has shown that very few searches are conducted using the course code, compared to the subject search function. UCAS Courses Data Team will be working to improve the subject search and course keywords over the coming year to enable potential applicants to accurately find suitable courses.”http://www.ucas.com/he_staff/courses/jacs/jacs3---Course code identifiers have an important role to play within a university administrations, for example in marshalling resources around a course, although they are not used by students. (On the other hand, students may have a familiarity with module codes.) Course codes identify courses that are the subject of quality assessment by the QAA. To a certain extent, a complete catalogue of course codes allows third parties to organise offerings based around UK higher education degrees in a comprehensive way and link in to the UCAS application procedure.
  4. If released as open data, and particularly as Linked Open Data, the course data can be used to support:- the release of horizontal data across the UK HE sector by HEIs, such as course catalogue information;- vertical scaffolding within an institution for elaboration by module codes, which in turn may be associated with module descriptions, reading lists, educational resources, etc.- the development across HE of services supporting student choice – for example “compare the uni” type services
  5. At the moment the data is siloed inside UCAS behind a search engine with unfriendly session based URLs and a poor results UI. Whilst it is possible to scrape or crowd-source course code information, such ad hoc collection mechanisms run the danger of being far from complete, which means that bias may be introduced into the collection as a side effect of the collection method.
  6. Making the data available via an API or Linked data store makes it easier for third parties to build course related services of whatever flavour – course comparison sites, badging services, resource recommendation services. The availability of the data also makes it easier for developers within an intsitution to develop services around course codes that might be directly transferable to, or scaleable across, other institutions.
  7. What happens if the API becomes writeable? An appropriately designed data store, and corresponding ingest routes, might encourage HEIs to start releasing the course data themselves in a more structured way.XCRI is JISC’s preferred way of doing this, and I think there has been some lobbying of HEFCE from various JISC projects, but I’m not sure how successful it’s been?
  8. Ultimately, we might be able to aggregate data from locally maintained local data stores. Course marketing becomes a feature of the Linked Data cloud.Also context of data burden on HEIs, reporting to Professional, Statutory and Regulatory Bodies – PSURBS.Reconciliation with HESA Institution and campus identifiers – JISCMU and Guardian Datablog Rosetta Stone spreadsheethttp://www.hesa.ac.uk/index.php?option=com_collns&task=show_manuals&Itemid=233&r=94011&f=003 and 002By hosting course code data, and using it as scaffolding within a Linked Data cloud around HE courses, a valuable platform service can be made available to HEIs as well as commercial operations designed to support student choice when it comes to selecting an appropriate course and university.
  9. Several recent JISC project have started to explore the release of course related activity data on the one hand, and Linked Data approaches to enterprise wide data management on the other. What is currently lacking is national data-centric view over all HEI course offerings. UCAS has that data.Opening up the data facilitates rapid innovation projects within HEIs, and makes it possible for innovators within an HEI to make progress on projects that span across course offerings even if they don’t have easy access to that data from their own institution.
  10. Consumer services are also a possibility. As HEIs become more businesslike, treating students as customers, and paying customers at that, we might expect to see the appearance of university course comparison sites.CompareTheUni has had a holding page up for months – but will it ever launch? Uni&Books crowd sources module codes and associated reading links. Talis Aspire is a commercial reading list system that associates resources with module codes.
  11. Last year, I pulled together a few separate published datasets and through them into Google Fusion Tables, then plotted the results. The idea was that you could chart research ratings against student satisfaction, or drop out rates against the academic pay. [http://blog.ouseful.info/2010/03/20/does-funding-equal-happiness-in-higher-education/ ]Guardian datablog picked up the post, and I still get traffic from there on a daily basis… [ http://www.guardian.co.uk/open-platform/dataviz-funding-happiness-higher-education ]
  12. The JISC MOSAIC Library data challenge saw Huddersfield University open up book loans data associated with course codes – so you could map between courses and books, and vice versa (“People who studied this course borrowed this book”, “this book was referred to by students on this course”)One demonstrator I built used a bookmarklet to annotate UCAS course pages with a link to a resource page showing what books had been borrowed by students on that course at Huddersfiled University. [http://ouseful.open.ac.uk/mosaic.php ]
  13. Enter something like compare the uni, but data driven, and providing aggregated views over data from universities and courses.
  14. To set the scene, the site needs to be designed with a user in mind. I see a 16-17 year old, sloughing on the sofa, TV on with the most partial of attention being paid to it, laptop or tablet to hand and the main focus of attention. Facebook chat and a browser are grabbing attention on screen, with occasional distractions from the TV and mobile phone.
  15. The key is course data – this provides a natural set of identifiers that span the full range of clearing based HE course offerings in the UK and allows third parties to build servies on this basis.The course codes also provide hooks against which it may be possible to deploy mappings across skills frameworks, e.g. SFIA in IT world. The course codes will also have associated JACS subject code mappings and UCAS search terms, which in turn may provide weak links into other domains, such as the world of books using vocabularies such as the Library of Congress Subject headings and Dewey classification codes.
  16. Further down the line, if we can start to associate module codes with course codes, we can start to develop services to support current students, or informal learners, by hooking in educational resources at the module level.
  17. Marketing can go several ways. For the data platform, evangelism into the HE developer community may spark innovation from within HEIs, most likely under the auspices of JISC projects. Platform data services may also be marketed to third party developers and innovators/entrepeneurs.Marketing of services built on top of the data platform will need to be marketed to the target audience using appropriate channels. Specialist marketers such as Campus Group may be appropriate partners here.
  18. The idea pitched is disruptive in that one of the major competitors is at first UCAS. However, if UCAS retains it’s unique role in university application and clearing, then UCAS will still play an essential, and heavily trafficked, role in undergraduate student applications to university. Course discovery and selection will, however, move away from the UCAS site towards services that better meet the needs of potential applicants. One then might imagine UCAS becoming a B2B service that acts as intermediary between student choice websites and universities, or even entertain a scenario in which UCAS is disintermediated and some other clearing mechanism instituted between universities and potential-student facing course choice portals.
  19. According to UCAS, between January and March 2010 “almost 5 million unique IP addresses accessed the UCAS subject search function” [http://www.ucas.com/he_staff/courses/coursesearchkeywords ] In each of the last couple of years, the annual application/acceptance numbers have been of the order approx 500,000 students intake per year, on 600,000 applicants. If 10% of applicants and generate £5 per applicant, that’s £300k pa. £10 from 20% of intake, that’s £1M pa. £50 each from 40% is £10M. I haven’t managed to find out what the acquisition cost of a successful applicant is, or the advertising budget allocated to an undergraduate recruitment marketing campaign, but there are 200 or so HE institutions (going by the number of allocated HESA institution codes).For platform business – e.g. business model based around selling queries on linked/aggregated/mapped datasets. If you imagine a query returning results with several attributes, each result is a row and each attribute is a column, If you allow free access to x thousand query cells returned a day, and then charge for cells above that limit, you: Encourage wider innovation around your platform; let people run narrow queries or broad queries. License on use of data for folk to use on their own datastores/augmented with their own triples. Generate revenue that scales on a metered basis according to usage;- offer additional analytics that get your tracking script in third party web pages, helping train your learning classifiers, which makes platform more valuable.For a consumer facing application – eg a course choice site for potential appications is the easiest to imagine:- Shortterm model would be advertising (e.g. course/uni ads), affiliate fees on booksales for first year books? Seond hand books market eg via Facebook marketplace?- Medium term – affiliate for for prospectus application/fulfilment Long term – affiliate fee for course registration
  20. At the end of the day, if the data describing all the HE courses available in the UK is available as data, folk will be able to start to build interesting things around it…