Archive for the 'Consultation' Category

January meeting with TfGM

January’s Open Data Manchester was a transport special, with Craig Berry and Dave Busby from TfGM giving an update as to the types of data that TfGM hold, and what they are trying to release. Open Data Manchester people may already know of Craig Berry as the Information Manager who has been tasked with identifying and releasing open data. Dave Busby’s brief is for integrated ticketing and real-time information.

TfGM reinforced its position with regard to open data at the meeting. There has been a number of rumours over the past twelve months as to what the organisation was trying to release to DataGM – Greater Manchester’s open data portal . TfGM are currently releasing data with regard to bus schedules, NaPTAN stop locations, fixed and mobile speed camera locations and monthly Road Traffic Collision updates. There had been mooted some realtime data would be released.

Greater Manchester has been crying out for an intelligent integrated ticketing system. To many a lack of such system has made travel by public transport around Greater Manchester more difficult than it should be. To this end TfGM are developing a specification that will go to tender in the 1st half of 2012. The system will initially cover Metrolink and then encompass Greater Manchester buses. The system will use contactless technologies in a similar vein to TfL’s Oyster Card but with the added functionality of being able to use contactless bankcards and NFC phones. It was interesting to note the certainty that NFC will be adopted, by most handset companies within the next year. Paying by Google Wallet was also mentioned as a possibility. The ticketing system will also have fare rules that will calculate the best price for journeys undertaken.

Although getting Integrated ticketing to work with Metrolink would be a relatively easy task and a useful test bed to prove the utility of the system, getting Greater Manchester’s 40+ independent commercial bus operators to adopt the system maybe more challenging and may need a certain amount of political will. Anonymised journey data from the system or personal access to journey history wasn’t discussed in detail, although the later seems to be fairly standard in smart ticketing systems, access to anonymised data could offer huge potential for applications and services that look at gate loading on routes, passenger density etc.

The advent of the oft mooted, realtime data from TfGM looks closer – although there was no specific timescale mentioned. There will be access to the Metrolink Passenger Information Displays data, although how this will manifest itself is uncertain. Developers present at the meeting suggested that JSON would be preferable. The main challenge with accessing real-time Metrolink location data is that the Tram Management System currently being implemented isn’t currently functioning throughout the network. The initial release of data will cover the South Manchester line and Eccles lines.

Although it doesn’t look like there will be any real-time bus data soon, TfGM would like to release the location information of the free Centreline buses that are being operated on TfGM’s behalf. This data will be location data that won’t identify the actual service the bus is running. It was suggested that as there are only three distinct Centreline routes it wouldn’t be that complicated to identify, even where the routes overlap. There is also an Informed Personal Traveller pilot that is being run in Bury by Logica, ACIS and First Bus. It uses a number of technologies including an AVL system that has been fitted to approximately 100 of their buses. The IPT application hasn’t been released yet and there are indications that the system is closed.

TfGM recently submitted a bid to the Local Sustainable Transport Fund and written into it is the provision of open data and the development of an intelligent multi-modal Journey Planner pulling all relevant data that TfGM has at it’s disposal, how developers could access the Journey Planner was discussed and whether it would exclude the provision of other types of journey data.

There is a move to make other data available through the LSTF, these include Car Park updates, real-time disruption data, journey down roads data and feeds off TfGM’s SCOOT adaptive traffic control system. SCOOT controls half of the approximately 2000 traffic control signals in Greater Manchester.

The lack of transparency with regard to bus fare structures within Greater Manchester has been a subject that has come up many times, especially regarding anecdotal evidence that dependant communities are charged more per mile than others having viable transport alternatives. TfGM stated that Greater Manchester is one of the few places where bus travel is generally more expensive than rail. To this end TfGM are interested in developing a project similar to one that Open Data Manchester was developing over a year ago that encouraged travelers to submit the details of their journey and price.

At the close of the discussion TfGM were encouraged to use the Open Data Manchester Google Group as a resource to ask questions and to highlight initiatives and challenges.

Making Open Data Real consultation results published.

The results of the last year’s Making Open Data Real consultation have been published. Open Data Manchester submitted a response as did 246 others.

These responses will be used to define the governments approach to Open Data and will hopefully bring about a meaningful push from both central and local government.

The following Greater Manchester based organisations responded:

  • North West e Government Group
  • Open Data Manchester
  • Rochdale Council
  • Swirrl IT Ltd
  • Trafford Council
  • Transport for Greater Manchester
  • So far play to the above for the above for engaging.

    Summaries of the consultation can be read here:

    Full responses can be downloaded here:

    Licensing – Why it is so important

    This blog post originally was originally written for FutureEverything as part of their Open Data Cities programme.

    I’m no expert but I really need to be – Licensing

    Licensing is a subject that comes up a lot with Open Data. The licence is a key component of the dataset. It defines the use and liability and it shapes how or what innovation will come from data release.

    As mentioned in the title I am no expert in this area and I would appreciate any correction or amendments to my understanding.

    Traditionally public data has been closed so that the only way you could get access to data to build products was by buying a licence to use. In many cases these licences were expensive and restrictive. The to mitigate this cost often, te licence would also have some level of service agreement built in. You paid for the licence for the data and the data provider would provide you with a level of continuity and support. This helps to limit risk and encourage investment into a product.

    The closed ‘paid licence’ system generally has a high barrier to entry ‘price of licence’ limiting the amount of innovative products developed. If innovation ecosystems are ideas that live with most failing. The price of failure being too high could have a chilling effect on the whole system.

    One of the first licenses used for the release of Open Data was Creative Commons CC-BY-SA. This licence allowed people to create services and products off the back of the data as long as they attribute where the data came from and share back any data that was created off the back off the originally released dataset (value-added data). The original Creative Commons licenses were devised as an answer to restrictive copyright laws relating to ‘works’ – articles, text, images, music etc., as these were deemed increasingly anachronistic in the digital age. It is up for discussion if data can be deemed as a ‘work’ in the context of this licence.

    The Open Database Licence (ODbL) developed by Open Data Commons, was created to address the doubt that data could be seen as a ‘work’. It carries the same attribution and share alike clauses and is used by many datastores including the newly opened Paris Datastore.

    Anyone can develop products and services that use datasets with these licences but intellectual property doesn’t extend to the value-added datasets created in the process of developing these products. Releasing value-added datasets back to the community allows further innovative products to be released off the back of these datasets, so potentially the pace of innovation could be increased – It is analogous to the ‘standing on the shoulders of giants’ idea.

    By imposing further use of value-added data by other organisations might chill the development of products that create value-added data.

    With the above licences there is generally no liability or guarantee of service from data providers. This creates a greater risk scenario. If you were investing in product development this potentially is a source of concern and may be an inhibiting factor

    In the UK we have the recently released Open Government Data Licence. That was developed specifically for government data. It borrows from some aspects of the CC-BY-SA licence and ODbL. Unlike the those licences there is no need to share back value-added data.

    Would this have any impact on products and services that are developed from Open Data? Again in the licence there is no liability or guarantee of service from the data provider but the developing organisation gets to keep all the rights on the products and services they develop – including value-added datasets.
    The advantage of this could be that by allowing people to keep hold of the rights to the products that they develop might be mitigate against the exposed risk posed by the lack of liability and guarantee. The main disadvantage could be that the pace of innovation could be curtailed due to people having to replicate process and value-added datasets.


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