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Managing Open Data Projects - Co-create an Open Resource with Mel Norman

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    Managing Open Data Projects

    Co-creating an open resource 

     Trainer: Mel Norman

     @melmediasauce

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    Learning outcomesBy the end of this workshop you will be able to:

    • Defne open data

    •Summarise the challenges opportunitiesin!ol!ed in managing open data projects

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      Working with companies to integrate technologyto grow their business.

       Trainer programme leader in "usiness # Open OD%

    Digital "usiness Strategist $or tech& open data digi

    companies'( )ears as an *ntrepreneur

    +,,,# people trained

    Pre!ious clients include: ""C& Dri!e Productions& Loc.o)al Sha/espeare Compan)& Ni0onMcinnes& %nno!ate

    *0 3ilm Producer

      4out Mellissa

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    Name& .ole& Compan)

    5a!e )ou managed aproject6open data projectpre!iousl)7

    4out 8ou

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    Open Data

    "asics

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    9hat is open data7

    4out 8ou

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    Open data is data that anyone can

    access, use and share.- Odi defnition

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    5o can )ou ma/e good open

    data7

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    Good open data• Can e lin/ed to

    • 4!ailale in a standard& structured$ormat

    5as guaranteed a!ailailit) andconsistenc) o!er time& so that otherscan rel) on it

    • %s traceale

    • 5as a licence shos that it is open data

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    Managing opedata projects

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    1S*

    P1"L%S5

    Managing open data projects

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    9hat are the possile internalchallenges a compan) might

    $ace hen opening up theirdata7

    Managing open data projects

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    • Lac/ o$ /noledge

    • Little understanding o$ enefts or process

    • Lac/ o$ s/ills

    • Lac/ o$ understanding aout ris/

    • Compan)6Org doesn;t ha!e an open culture• Projects usuall) ha!e eginning middle and end<

    • 3ear

    • Compan) is !er) =siloed;

    • Lac/ o$ resources6oo/s

    Managing open data projects

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    Categories

    Sta> teams

    %nternal6e0ternalcomms

    Polic)

    "udget

    Managing open data projects

    Exercise4llocate the challenges to a categor)& then

    rite don ho )ou could o!ercomeach o$ them<

    StructureCultureMar/etingSalesSustainailit)

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    S94P?

    4nd second group rite an)

    additional challenges that mightha!e missed<

    Managing open data projects

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    Managing open data projects

     The ra results $rom thissession created ) theparticipants<

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    Structure CultureChallenge !ow to overcome

    Big Company "#iloed Create a group $rom di>erent depa

    Need data champs and data teams ith dedicaCollaboration Sharing the enefts& matching eneftthat can or/ across departments& engage teams outsideorganiation<

    $esistance "ig stic/ approach& declare polic)& trainimpact demonstrating .eard rather than punish<

    Coordination accountability 5igh le!el ad!ocate& ho en$orce7 Ma/e it normal<

    %ack of business sponsor %denti$) a champ and defnoard le!el< .un an organiational e!ent around open datait open& uncon$erence<

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    &arketing' #ales and #ustainability

    Challenge !ow to overcome

    (ata )ormat !ow data is to be presented' storievisuali*ation etc

    (ata #torage  Time ound process& Aags& chec/ that updating< 3eedac/ mechanism& internal and e0ternal<

    %icense 3or trust uilding ith customers<

    +now the why  The reason $or opening data and that eunderstands it<

    $evenue Benerate a usiness model(ata as a tool,means to an end- not as a product ,enself- ,use of freeium-

    Can ring in usiness sales& *nhance reputation & this is a pdri!er allocate $rom mar/eting udget

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    &arketing' #ales and #ustainability

    Challenge !ow to overcome Tooling choice Pic/ toolset hich enales maintaince

    Lac/ o$ use Map customer demand and act on it<

    Data ualit) issues .oadmap to f0 in $uture releases

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    olicy and Budget

    Challenge !ow to overcomeWhat to publish and which datasets and how   StandaPrioritiation& 4nal)tics

    !ow much will it cost   "enchmar/ing%egal #tatus of (ata' privacy' copyright' competition %n!ol!e0perts earl)& templates& chec/lists& Aocre!ieing

    %imited budget Pro!e !alue earl)& deli!er $as!alue<

    What to spend on tech v what to spend on human resource4areness o$ a!ailale solutions Eopen source or Licenses

    )ear   Clear polices around open data& his open& shared and closed

    Company organisation policy not aligned with gov policiespolices& /noledge o$ go!& ma/e clear it is not personal data<

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    #ta/ and teams

    Challenge !ow to overcome%ack of resources skills Netor/ e>ect& share ith the mar/et

    %ack of clear direction Bet in!ol!ed in pulic deate and ad!o

    Being rotective of own data Training $or sta> around open daa etter understanding o$ hat it is and hat it meaorg<

    0nternal competition  Training sta> around open data& so therunderstanding o$ hat it is and hat it means to the org<

    1ew area of knowledge Demonstrating positi!e impact o$ o

    datasets to the comp&indset attitude Chec/lists and Standardiation<

    2ime involved

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    0nternal and External Comms

    Challenge !ow to overcome1o clear business case Create Pulish and communicate =h); doing this<

    Open inno!ation and crodsourcing<)ear Clear simple to understand communication mate

    Engage (ata Clients .eturn o$ in!estment7

    Create procedures and standards& tap into e0isting co*ducation& co-design& in!ol!ing sta> in the process a

    ma/ing& open $eedac/ and or/shops<

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    9here can e share this as anopen resource so people can

    !ie and contriute7

    Managing open data projects

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    General comments

    Dra on other areas o$ e0pertise& i

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    4$ter toda):

    9hat to things that )ou ha!e

    learnt toda) $rom )our peers coulde use$ul in )our or/7

    Conclusion

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     Than/ )ou?

    @melmediasauce


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