Managing Research Data

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    An introduction to managing

    research data

    Jenni Crossley

    Research Librarian20thNovember 2014

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    My research data is:

    A. Backed up at least 3

    times and very safe

    B. Backed up twice and

    fairly safe

    C. Backed up once,

    could be safer

    D. Not backed up at all

    Backed

    upatleast3

    time..

    .

    Backed

    uptwice

    andf

    airl...

    Backed

    uponce

    ,couldbe

    ...

    Notb

    acke

    dupatall

    0% 0%0%0%

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    I can find my research data

    A. Really easily, I have awell thought out filingsystem

    B. Quite easily, but myfiling system could bebetter

    C. Not very easily, I reallyneed to improve myfiling system

    D. With great difficulty,what's a filing system?

    Reallye

    asily

    ,Iha

    veawel...

    Quite

    easily,butm

    yfilin

    g...

    Notv

    erye

    asily

    ,Ireallyn

    ...

    With

    greatd

    ifficu

    lty,wha

    ...

    0% 0%0%0%

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    The amount of research data I will

    produce

    A. Has been wellconsidered; I have agood idea how muchstorage I will need

    B. Has been considered,but is unlcear at thispoint

    C. Has not really beenconsidered. Is thisimportant?

    D. Has not beenconsidered at all

    Hasb

    eenw

    ellconside

    red;.

    .

    Hasb

    eenc

    onsid

    ered

    ,but

    ..

    Hasn

    otreallyb

    eenc

    ons..

    .

    Hasn

    otbeen

    conside

    red.

    .

    0% 0%0%0%

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    In terms of sharing my data

    A. I know what can orcannot be shared

    B. I think I know what

    can or cannot beshared

    C. I really don't know

    what can or cannotbe shared

    D. Can data be shared?

    Iknowwh

    atcano

    rcann..

    Ithink

    Ikno

    wwh

    atcan.

    .

    Ireally

    don't

    know

    what..

    .

    Cand

    atab

    esha

    red?

    0% 0%0%0%

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    In terms of data ownership

    A. I am confident that Iknow who owns thedata I work with

    B. I think I know who ownsthe data I work with

    C. I'm not really sure whoowns the data I workwith

    D. I have no idea whoowns the data I workwith

    Iamconfide

    ntthat

    Ikn..

    Ithink

    Ikno

    wwh

    oown

    s...

    I'mnotr

    eally

    surewh

    o...

    Ihaven

    oideaw

    hoowns

    ...

    0% 0%0%0%

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    I know what will happen to my data at

    the end of my project

    A. Yes, there is a clear

    plan for this

    B. There is a vague plan

    for this

    C. It's been considered,

    but there is no plan

    for this yetD. It has not been

    considered

    Yes,th

    ereisacle

    arplan

    ...

    There

    isavagueplan

    for..

    .

    It'sb

    eenc

    onsid

    ered

    ,but

    ...

    Ithas

    notb

    eenc

    onsid

    ered

    0% 0%0%0%

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    What does data mean to you?

    Weather measurements

    Photographs

    Results from experiments

    Government records

    GIS data

    Simulation data

    Log data

    Field notes

    Software

    Images (e.g. brain scans)

    Quantitative data (e.g.household survey data)

    Historical documents

    Moving images Physical objects: such as

    bones or blood samples

    Digitised photos / born

    digital photos Social media data: tweets

    Metadata

    Learning material produced by RDMRose http://www.sheffield.ac.uk/is/research/projects/rdmrose

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    Research dataa definition

    Research data are collected, observed or

    created for the purpose of analysis, to

    produce and validate original research results.

    Can be either digital or analogue.

    Stuff!

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    Defining research data management

    the active management and appraisal of data

    over the lifecycle of scholarly and scientific

    interest

    Research data management concerns the

    organisation of data, from its entry to the

    research cycle through to the dissemination

    and archiving of valuable results. (Whyte &Tedds, 2011)

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    Defining research data management

    Not just archiving, preserving, or sharing

    although that might be the end game

    Good RDM starts before a project, and

    continues after the lifespan of the initial work

    Data management plans

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    Why should I manage my research

    data?

    Research data is a valuable asset.

    Without your data you have no project.

    What would you do

    if you lost your

    research data

    tomorrow?

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    http://www.flickr.com/photos/johnbullas/61631745/

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    Research data management can:

    Prevent data loss

    Make it easier to locate your data

    Help with validation of results anddemonstrate research integrity

    Offer collaboration through data re-use and

    sharing

    Is part of good research practice!

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    And also

    The nature of research governance and

    communication is changing:

    Funder requirements

    Publishers

    Open access underpinned by data Not unique to UWE

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    What does the research lifecycle looklike?

    Write proposal

    Start project

    Acquiresample

    Generate,

    Create,

    Collect

    ProcessAnalyze

    Interpret

    Publish

    Validate

    Research360

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    What does a data management cycle

    look like?

    Data CurationCentre

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    4.

    Publication

    & Deposit

    5.

    Preservation

    & Re-Use

    1.

    Create

    2.

    Active Use

    3.

    Documentation

    And a slightly simplified version

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    What does this mean?

    That you need to plan!

    Make informed decisions

    Anticipate problems

    Make your life easier

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    Creating a data management plan

    Start with a brief plan written at the start of yourproject to define:

    how your data will be created

    how it will be documented

    who will access it where it will be stored

    who will back it up

    whether (and how) it will be shared & preserved

    DMPs are often submitted as part of grant applications,

    but are useful whenever youre creating data.

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    What to include

    1. What data will you produce?

    2. How will you organise / look after the data?

    3. Can you / others understand the data?

    4. What data will be deposited and where?

    5. Who will be interested in re-using the data?

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    1. What data will you produce?

    4.

    Publication

    & Deposit

    5.

    Preservation

    & Re-Use

    1.

    Create

    2.

    Active Use

    3.

    Documentation

    What typeof data will you

    produce?

    What types of file format?

    How easy is it to create or

    reproduce?

    Who owns and is responsiblefor it?

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    2. How will you look after the data?

    4.

    Publication

    & Deposit

    5.

    Preservation

    & Re-Use

    1.

    Create

    2.

    Active Use

    3.

    Documentation

    Is your data safe?

    Is your dataorganised?

    Can you find your

    data?

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    3. How will you document the data?

    4.

    Publication

    & Deposit

    5.

    Preservation

    & Re-Use

    1.

    Create

    2.

    Active Use

    3.

    Documentation

    Do you still understand

    your older work?

    Is the file structure /naming

    understandable to

    others?

    Which data will be kept?

    Which data can be

    discarded?

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    4. What data will be deposited and where?

    4.

    Publication

    & Deposit

    5.

    Preservation

    & Re-Use

    1.

    Create

    2.

    Active Use

    3.

    Documentation

    Are you expectedto share

    your data?

    Are you allowedto share

    your data?

    Define the core data set of

    the project

    Which data will be included

    in your publication /

    thesis?

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    5. Preservation and Re-use

    4.

    Publication

    & Deposit

    5.

    Preservation

    & Re-Use

    1.

    Create

    2.

    Active Use

    3.

    Documentation

    How long will your data be

    reusable for?

    Do you need to prepare yourdata for long term

    archive?

    Which data do you need tokeep?

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    Tips for writing DMPs

    Seek advice - consult and collaborate

    Consider good practice for your field

    Base plans on available skills & support and Make sure implementation is feasible

    Decide who will implement the planand

    then make sure it happens Decide how often, and by whom, the plan will

    be reviewed

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    An activity

    Think about a project with which you arecurrently involved

    Considering what you have heard, try to

    answer the questions on the sample datamanagement plan

    Use UWE guidance to help:

    http://www1.uwe.ac.uk/library/usingthelibrary/researchers/manageresearchdata/managingresearchdata/guidance.aspx

    http://www1.uwe.ac.uk/library/usingthelibrary/researchers/manageresearchdata/managingresearchdata/guidance.aspxhttp://www1.uwe.ac.uk/library/usingthelibrary/researchers/manageresearchdata/managingresearchdata/guidance.aspxhttp://www1.uwe.ac.uk/library/usingthelibrary/researchers/manageresearchdata/managingresearchdata/guidance.aspxhttp://www1.uwe.ac.uk/library/usingthelibrary/researchers/manageresearchdata/managingresearchdata/guidance.aspxhttp://www1.uwe.ac.uk/library/usingthelibrary/researchers/manageresearchdata/managingresearchdata/guidance.aspxhttp://www1.uwe.ac.uk/library/usingthelibrary/researchers/manageresearchdata/managingresearchdata/guidance.aspx
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    Final thoughts

    This is only a brief introduction

    Data management is a journey

    Start with your plan, you might have to re-route

    http://www.youtube.com/watch?v=pbBa6Oa

    m7-w

    http://www.youtube.com/watch?v=pbBa6Oam7-whttp://www.youtube.com/watch?v=pbBa6Oam7-whttp://www.youtube.com/watch?v=pbBa6Oam7-whttp://www.youtube.com/watch?v=pbBa6Oam7-whttp://www.youtube.com/watch?v=pbBa6Oam7-whttp://www.youtube.com/watch?v=pbBa6Oam7-whttp://www.youtube.com/watch?v=pbBa6Oam7-w
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    Acknowledgement

    Some content for this sessions has been taken from two projects

    which have developed DMP resources for PhD students:

    DataTrain

    http://www.lib.cam.ac.uk/preservation/datatrain Research360

    http://blogs.bath.ac.uk/research360/category/training

    http://www.lib.cam.ac.uk/preservation/datatrainhttp://blogs.bath.ac.uk/research360/category/traininghttp://www.lib.cam.ac.uk/preservation/datatrainhttp://www.lib.cam.ac.uk/preservation/datatrainhttp://www.lib.cam.ac.uk/preservation/datatrainhttp://blogs.bath.ac.uk/research360/category/traininghttp://www.lib.cam.ac.uk/preservation/datatrain
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    Sources of guidance

    ICPSR framework for a data management plan

    www.icpsr.umich.edu/icpsrweb/content/datamanagement/dmp/f

    ramework.html

    How to develop a data management and sharing plan

    www.dcc.ac.uk/resources/how-guides/develop-data-plan

    UWE Managing research data guidancehttp://www1.uwe.ac.uk/library/usingthelibrary/researchers/man

    ageresearchdata/managingresearchdata/guidance.aspx

    http://www.icpsr.umich.edu/icpsrweb/content/datamanagement/dmp/framework.htmlhttp://www.icpsr.umich.edu/icpsrweb/content/datamanagement/dmp/framework.htmlhttp://www.dcc.ac.uk/resources/how-guides/develop-data-planhttp://www1.uwe.ac.uk/library/usingthelibrary/researchers/manageresearchdata/managingresearchdata/guidance.aspxhttp://www1.uwe.ac.uk/library/usingthelibrary/researchers/manageresearchdata/managingresearchdata/guidance.aspxhttp://www1.uwe.ac.uk/library/usingthelibrary/researchers/manageresearchdata/managingresearchdata/guidance.aspxhttp://www1.uwe.ac.uk/library/usingthelibrary/researchers/manageresearchdata/managingresearchdata/guidance.aspxhttp://www.dcc.ac.uk/resources/how-guides/develop-data-planhttp://www.dcc.ac.uk/resources/how-guides/develop-data-planhttp://www.dcc.ac.uk/resources/how-guides/develop-data-planhttp://www.dcc.ac.uk/resources/how-guides/develop-data-planhttp://www.dcc.ac.uk/resources/how-guides/develop-data-planhttp://www.dcc.ac.uk/resources/how-guides/develop-data-planhttp://www.dcc.ac.uk/resources/how-guides/develop-data-planhttp://www.icpsr.umich.edu/icpsrweb/content/datamanagement/dmp/framework.htmlhttp://www.icpsr.umich.edu/icpsrweb/content/datamanagement/dmp/framework.html