20151008_OpenGeo_Reuse_under_licence


Go down for licence and other metadata about this presentation

\newpage

Preamble

Licence

Unless stated otherwise all content is released under a [CC0]+BY licence. I'd appreciate it if you reference this but it is not necessary.

\newpage

Using Ipython for presentations

A short video showing how to use Ipython for presentations


In [3]:
from IPython.display import YouTubeVideo
YouTubeVideo('F4rFuIb1Ie4')


Out[3]:

In [1]:
## PDF output using pandoc

import os


### Export this notebook as markdown
commandLineSyntax = 'ipython nbconvert --to markdown 20151008_OpenGeo_Reuse_under_licence.ipynb'
print (commandLineSyntax)

os.system(commandLineSyntax)

### Export this notebook and the document header as PDF using Pandoc

commandLineSyntax = 'pandoc  -f markdown -t latex -N -V geometry:margin=1in DocumentHeader.md 20151008_OpenGeo_Reuse_under_licence.md --filter pandoc-citeproc  --latex-engine=xelatex --toc -o interim.pdf '

os.system(commandLineSyntax)

### Remove cruft from the pdf

commandLineSyntax = 'pdftk interim.pdf cat 1-3 16-end output 20151008_OpenGeo_Reuse_under_licence.pdf'

os.system(commandLineSyntax)

### Remove the interim pdf

commandLineSyntax = 'rm interim.pdf'

os.system(commandLineSyntax)


ipython nbconvert --to markdown 20151008_OpenGeo_Reuse_under_licence.ipynb
ipython nbconvert --to markdown 20151008_OpenGeo_Reuse_under_licence.ipynb
Out[1]:
0

The environment

In order to replicate my environment you need to know what I have installed!

Set up watermark

This describes the versions of software used during the creation.

Please note that critical libraries can also be watermarked as follows:

%watermark -v -m -p numpy,scipy

In [2]:
%install_ext https://raw.githubusercontent.com/rasbt/python_reference/master/ipython_magic/watermark.py
%load_ext watermark


Installed watermark.py. To use it, type:
  %load_ext watermark

In [1]:
%watermark -a "Anthony Beck"  -d -v -m -g


ERROR: Line magic function `%watermark` not found.

In [2]:
#List of installed conda packages
!conda list


# packages in environment at /home/arb/LocalPython/Anaconda27/anaconda:
#
_license                  1.1                      py27_0  
abstract-rendering        0.5.1                np19py27_0  
accelerate                1.11.0              np19py27_p0  
affine                    1.1.0                    py27_0  
alabaster                 0.7.3                    py27_0  
anaconda                  2.3.0                np19py27_0  
argcomplete               0.8.9                    py27_0  
arrow                     0.5.4                     <pip>
astroid                   1.3.6                     <pip>
astropy                   1.0.3                np19py27_0  
babel                     1.3                      py27_0  
backports.ssl-match-hostname 3.4.0.2                   <pip>
basemap                   1.0.7                np19py27_0  
bcolz                     0.9.0                np19py27_0  
beautiful-soup            4.3.2                    py27_0  
beautifulsoup4            4.4.0                     <pip>
binstar                   0.11.0                   py27_0  
bitarray                  0.8.1                    py27_0  
blaze                     0.8.0                     <pip>
blaze-core                0.8.0                np19py27_0  
blz                       0.6.2                np19py27_1  
bokeh                     0.9.0                np19py27_0  
boto                      2.38.0                   py27_0  
bottle                    0.12.7                   py27_0  
bottleneck                1.0.0                np19py27_0  
bqplot                    0.3.8                     <pip>
brewer2mpl                1.4                      py27_0  
cairo                     1.12.18                       4  
cartopy                   0.10.0               np18py27_0  
cdecimal                  2.3                      py27_0  
certifi                   14.05.14                 py27_0  
cffi                      1.1.0                    py27_0  
click                     4.0                      py27_0  
cligj                     0.1.0                    py27_0  
cloog                     0.18.0                        0  
clyent                    0.3.4                    py27_0  
colorama                  0.3.3                    py27_0  
conda                     3.18.1                   py27_0  
conda-build               1.12.1                   py27_0  
conda-env                 2.4.2                    py27_0  
configobj                 5.0.6                    py27_0  
cryptography              0.9.1                    py27_0  
cudatoolkit               6.0                          p0  
curl                      7.38.0                        0  
cython                    0.22.1                   py27_0  
cytoolz                   0.7.3                    py27_0  
datashape                 0.4.5                np19py27_0  
dateutil                  2.4.1                    py27_0  
decorator                 4.0.2                    py27_0  
descartes                 1.0.1                    py27_0  
docutils                  0.12                     py27_0  
dynd-python               0.6.5                np19py27_0  
enum                      0.4.4                     <pip>
enum34                    1.0.4                    py27_0  
fastcache                 1.0.2                    py27_0  
fiona                     1.5.1                np19py27_0  
flask                     0.10.1                   py27_1  
fontconfig                2.11.1                        4  
freetype                  2.5.2                         2  
funcsigs                  0.4                      py27_0  
functools32               3.2.3.post1               <pip>
futures                   2.2.0                    py27_0  
gdal                      1.11.2               np19py27_2  
geopandas                 0.1.1                    py27_0  
geopy                     1.10.0                    <pip>
geos                      3.3.3                         0  
gevent                    1.0.1                    py27_0  
gevent-websocket          0.9.3                    py27_0  
glib                      2.43.0                        2  
gmp                       5.1.2                         2  
greenlet                  0.4.7                    py27_0  
grin                      1.2.1                    py27_1  
h5py                      2.5.0                np19py27_3  
harfbuzz                  0.9.35                        6  
hdf5                      1.8.14                        0  
html5lib                  0.999                    py27_0  
idna                      2.0                      py27_0  
igraph                    0.7.1                         1  
ipaddress                 1.0.7                    py27_0  
ipykernel                 4.0.3                    py27_0  
ipython                   4.0.0                    py27_0  
ipython-genutils          0.1.0                     <pip>
ipython-notebook          3.2.0                    py27_0  
ipython-qtconsole         3.2.0                    py27_0  
ipython_genutils          0.1.0                    py27_0  
ipywidgets                4.0.2                    py27_0  
isl                       0.12.2                        0  
isodate                   0.5.1                    py27_1  
itsdangerous              0.24                     py27_0  
jdcal                     1.0                      py27_0  
jedi                      0.8.1                    py27_0  
jinja2                    2.8                      py27_0  
jpeg                      8d                            0  
jsonschema                2.4.0                    py27_0  
jupyter                   1.0.0                    py27_0  
jupyter-client            4.0.0                     <pip>
jupyter-console           4.0.2                     <pip>
jupyter-core              4.0.4                     <pip>
jupyter_client            4.0.0                    py27_0  
jupyter_console           4.0.2                    py27_0  
jupyter_core              4.0.4                    py27_0  
libdynd                   0.6.5                         0  
libffi                    3.0.13                        0  
libgcc                    4.8.4                         1  
libgdal                   1.11.2                        0  
libnetcdf                 4.3.2                         1  
libpng                    1.6.17                        0  
libsodium                 0.4.5                         0  
libtiff                   4.0.2                         1  
libxml2                   2.9.2                         0  
libxslt                   1.1.28                        0  
llvmlite                  0.5.0                    py27_0  
logilab-common            1.0.1                     <pip>
lxml                      3.4.4                    py27_0  
mapnik                    0.1                       <pip>
markdown                  2.6.2                     <pip>
markupsafe                0.23                     py27_0  
matplotlib                1.4.3                np19py27_2  
mistune                   0.7.1                    py27_0  
mkl                       11.1                np19py27_p3  
mkl-rt                    11.1                         p0  
mkl-service               1.0.0                   py27_p1  
mklfft                    2.0                 np19py27_p0  
mock                      1.0.1                    py27_0  
mpc                       1.0.1                         0  
mpfr                      3.1.2                         0  
multipledispatch          0.4.7                    py27_0  
nbconvert                 4.0.0                    py27_0  
nbformat                  4.0.0                    py27_0  
ncurses                   5.9                           4  
netcdf4                   1.1.8                np19py27_0  
networkx                  1.9.1                    py27_0  
nltk                      3.0.3                np19py27_0  
nose                      1.3.7                    py27_0  
notebook                  4.0.4                    py27_0  
notedown                  1.4.4                     <pip>
numba                     0.19.1               np19py27_0  
numbapro                  0.18.0              np19py27_p2  
numbapro_cudalib          0.2                           0  
numexpr                   2.4.3               np19py27_p0  [mkl]
numpy                     1.9.2                   py27_p0  [mkl]
oauthlib                  0.7.2                     <pip>
odo                       0.3.2                np19py27_0  
openpyxl                  1.8.5                    py27_0  
openssl                   1.0.1k                        1  
pandana                   0.1.2                    py27_0  
pandas                    0.16.2               np19py27_0  
pandasql                  0.6.2                np19py27_0  
pandoc-attributes         0.1.7                     <pip>
pandocfilters             1.2.4                     <pip>
pango                     1.36.8                        3  
patchelf                  0.6                           0  
path.py                   7.6                      py27_0  
patsy                     0.3.0                np19py27_0  
pcre                      8.31                          0  
pep8                      1.6.2                    py27_0  
pexpect                   3.3                      py27_0  
pickleshare               0.5                      py27_0  
pillow                    2.8.2                    py27_0  
pip                       7.1.2                    py27_0  
pivottablejs              0.1.0                     <pip>
pixman                    0.26.2                        0  
plotly                    1.7.2                     <pip>
ply                       3.6                      py27_0  
prettyplotlib             0.1.7                     <pip>
prettytable               0.7.2                    py27_0  
proj4                     4.8.0                         0  
psutil                    2.2.1                    py27_0  
psycopg2                  2.6                      py27_1  
ptyprocess                0.4                      py27_0  
py                        1.4.27                   py27_0  
py2cairo                  1.10.0                   py27_2  
pyasn1                    0.1.7                    py27_0  
pycosat                   0.6.1                    py27_0  
pycparser                 2.14                     py27_0  
pycrypto                  2.6.1                    py27_0  
pycurl                    7.19.5.1                 py27_2  
pyflakes                  0.9.2                    py27_0  
pygaarst                  0.0.1                     <pip>
pygments                  2.0.2                    py27_0  
pylint                    1.4.4                     <pip>
pymc                      2.3.4               np19py27_p0  [mkl]
pyopenssl                 0.15.1                   py27_1  
pyparsing                 2.0.3                    py27_0  
pyproj                    1.9.3                    py27_0  
pyqt                      4.11.3                   py27_1  
pysal                     1.6.0                np19py27_1  
pyshp                     1.2.3                     <pip>
pysptools                 0.13.0                   py27_0  
pystache                  0.5.4                     <pip>
pystretch                 0.2.1                    py27_0  
pytables                  3.2.0                np19py27_0  
pytest                    2.7.1                    py27_0  
python                    2.7.10                        1  
python-dateutil           2.4.2                    py27_0  
pytz                      2015.4                   py27_0  
pyyaml                    3.11                     py27_1  
pyzmq                     14.7.0                   py27_0  
qt                        4.8.6                         3  
qtconsole                 4.0.1                    py27_0  
r                         3.1.3                         0  
r-base                    3.1.3                         2  
r-boot                    1.3_16                 r3.1.3_0  
r-class                   7.3_12                 r3.1.3_0  
r-cluster                 1.15.3                        0  
r-codetools               0.2_11                 r3.1.3_0  
r-foreign                 0.8_63                 r3.1.3_0  
r-kernsmooth              2.23_14                r3.1.3_0  
r-lattice                 0.20_31                r3.1.3_0  
r-mass                    7.3.37                        0  
r-matrix                  1.2_1                  r3.1.3_0  
r-mgcv                    1.8_6                  r3.1.3_0  
r-nlme                    3.1.118                       0  
r-nlme                    3.1_120                r3.1.3_0  
r-nnet                    7.3_9                  r3.1.3_0  
r-recommended             3.1.3                         0  
r-rpart                   4.1_9                  r3.1.3_0  
r-spatial                 7.3_9                  r3.1.3_0  
r-survival                2.38_2                 r3.1.3_0  
rasterio                  0.15.1                   py27_0  
rdflib                    4.2.0                    py27_1  
readline                  6.2                           2  
redis                     2.6.9                         0  
redis-py                  2.10.3                   py27_0  
requests                  2.7.0                    py27_0  
requests-oauthlib         0.5.0                     <pip>
rope                      0.9.4                    py27_1  
rpy2                      2.5.6                    py27_0  
runipy                    0.1.3                    py27_0  
scikit-image              0.11.3               np19py27_0  
scikit-learn              0.16.1              np19py27_p0  [mkl]
scipy                     0.15.1              np19py27_p0  [mkl]
seaborn                   0.6.0                     <pip>
setuptools                18.3.2                   py27_0  
shapely                   1.5.9                     <pip>
simplegeneric             0.8.1                    py27_0  
simplejson                3.6.3                    py27_0  
singledispatch            3.4.0.3                  py27_1  
sip                       4.16.5                   py27_0  
six                       1.9.0                    py27_0  
snowballstemmer           1.2.0                    py27_0  
snuggs                    1.3.1                     <pip>
sockjs-tornado            1.0.1                    py27_0  
sparqlwrapper             1.6.4                    py27_1  
spectral                  0.16.1               np19py27_0  
sphinx                    1.3.1                    py27_0  
sphinx-rtd-theme          0.1.8                     <pip>
sphinx_rtd_theme          0.1.7                    py27_0  
spyder                    2.3.5.2                  py27_0  
spyder-app                2.3.5.2                  py27_0  
sqlalchemy                1.0.5                    py27_0  
sqlite                    3.8.4.1                       1  
sqlparse                  0.1.14                   py27_0  
ssl_match_hostname        3.4.0.2                  py27_0  
statsmodels               0.6.1                np19py27_0  
sympy                     0.7.6                    py27_0  
system                    5.8                           2  
tables                    3.2.0                     <pip>
tabulate                  0.7.5                    py27_0  
terminado                 0.5                      py27_0  
theano                    0.7.0                np19py27_0  
tk                        8.5.18                        0  
toolz                     0.7.2                    py27_0  
tornado                   4.2.1                    py27_0  
traitlets                 4.0.0                    py27_0  
tweepy                    2.3                      py27_0  
twitter                   1.17.0                    <pip>
ujson                     1.33                     py27_0  
unicodecsv                0.9.4                    py27_0  
urbansim                  2.0.1                     <pip>
util-linux                2.21                          0  
websocket                 0.2.1                     <pip>
werkzeug                  0.10.4                   py27_0  
wheel                     0.26.0                   py27_1  
xlrd                      0.9.4                    py27_0  
xlsxwriter                0.7.3                    py27_0  
xlwt                      1.0.0                    py27_0  
yaml                      0.1.6                         0  
zeromq                    4.0.5                         0  
zlib                      1.2.8                         0  

In [10]:
#List of installed pip packages
!pip list


abstract-rendering (0.5.1)
affine (1.1.0)
alabaster (0.7.3)
argcomplete (0.8.4)
arrow (0.5.4)
astroid (1.3.6)
astropy (1.0.2)
Babel (1.3)
backports.ssl-match-hostname (3.4.0.2)
basemap (1.0.7)
bcolz (0.8.1)
beautifulsoup4 (4.3.2)
binstar (0.10.3)
bitarray (0.8.1)
blaze (0.8.0)
blz (0.6.2)
bokeh (0.8.2)
boto (2.38.0)
bottle (0.12.7)
brewer2mpl (1.4.1)
Cartopy (0.10.0)
cdecimal (2.3)
certifi (14.5.14)
cffi (0.9.2)
click (4.0)
cligj (0.1.0)
clyent (0.3.4)
colorama (0.3.3)
conda (3.14.0)
conda-build (1.12.1)
conda-env (2.2.3)
configobj (5.0.6)
cryptography (0.8.2)
Cython (0.22)
cytoolz (0.7.2)
datashape (0.4.5)
decorator (3.4.0)
descartes (1.0.1)
docutils (0.12)
enum (0.4.4)
enum34 (1.0.4)
fastcache (1.0.2)
Fiona (1.5.1)
Flask (0.10.1)
funcsigs (0.4)
futures (2.2.0)
GDAL (1.11.2)
geopandas (0.1.1)
geopy (1.10.0)
gevent (1.0.1)
gevent-websocket (0.9.3)
greenlet (0.4.6)
grin (1.2.1)
h5py (2.5.0)
html5lib (0.99999)
ipython (3.2.0)
itsdangerous (0.24)
jdcal (1.0)
jedi (0.8.1)
Jinja2 (2.7.3)
jsonschema (2.4.0)
llvmlite (0.4.0)
logilab-common (0.63.2)
lxml (3.4.4)
mapnik (0.1)
MarkupSafe (0.23)
matplotlib (1.4.3)
mistune (0.6)
mklfft (0.0.0)
mock (1.0.1)
multipledispatch (0.4.7)
networkx (1.9.1)
nltk (3.0.2)
nose (1.3.6)
notedown (1.4.4)
numba (0.18.2)
numbapro (0.18.0)
numexpr (2.3.1)
numpy (1.9.2)
odo (0.3.2)
openpyxl (2.0.2)
pandana (0.1.2)
pandas (0.16.2)
pandasql (0.6.2)
pandoc-attributes (0.1.7)
pandocfilters (1.2.4)
patsy (0.3.0)
pep8 (1.6.2)
Pillow (2.7.0)
pip (7.0.3)
plotly (1.6.17)
ply (3.6)
prettyplotlib (0.1.7)
prettytable (0.7.2)
psutil (2.2.1)
ptyprocess (0.4)
py (1.4.26)
pyasn1 (0.1.7)
pycosat (0.6.1)
pycparser (2.12)
pycrypto (2.6.1)
pycurl (7.19.5.1)
pyflakes (0.8.1)
Pygments (2.0.2)
pylint (1.4.3)
pymc (2.3.4)
pyOpenSSL (0.15.1)
pyparsing (2.0.3)
pyproj (1.9.4)
PySAL (1.6.0)
pyshp (1.2.1)
pytest (2.7.0)
python-dateutil (2.4.2)
pytz (2015.4)
PyYAML (3.11)
pyzmq (14.7.0)
rasterio (0.23.0)
redis (2.10.3)
requests (2.7.0)
rope (0.9.4)
rpy2 (2.5.6)
runipy (0.1.3)
scikit-image (0.11.3)
scikit-learn (0.16.1)
scipy (0.15.1)
seaborn (0.5.1)
setuptools (17.1.1)
Shapely (1.5.9)
simplejson (3.6.3)
singledispatch (3.4.0.3)
six (1.9.0)
snowballstemmer (1.2.0)
snuggs (1.3.1)
sockjs-tornado (1.0.1)
Sphinx (1.2.3)
sphinx-rtd-theme (0.1.7)
spyder (2.3.4)
SQLAlchemy (1.0.3)
sqlparse (0.1.14)
statsmodels (0.6.1)
sympy (0.7.6)
tables (3.1.1)
terminado (0.5)
Theano (0.7.0)
toolz (0.7.2)
tornado (4.2)
tweepy (2.3.0)
twitter (1.17.0)
ujson (1.33)
unicodecsv (0.9.4)
urbansim (2.0.1)
Werkzeug (0.10.4)
xlrd (0.9.3)
XlsxWriter (0.7.2)
xlwt (1.0.0)

Running dynamic presentations

You need to install the RISE Ipython Library from Damián Avila for dynamic presentations

To convert and run this as a static presentation run the following command:


In [ ]:
!ipython nbconvert 20151008_OpenGeo_Reuse_under_licence.ipynb --to slides --post serve


/home/arb/LocalPython/Anaconda27/anaconda/lib/python2.7/site-packages/IPython/nbconvert.py:13: ShimWarning: The `IPython.nbconvert` package has been deprecated. You should import from ipython_nbconvert instead.
  "You should import from ipython_nbconvert instead.", ShimWarning)
[NbConvertApp] Converting notebook 20151008_OpenGeo_Reuse_under_licence.ipynb to slides
[NbConvertApp] Writing 261095 bytes to 20151008_OpenGeo_Reuse_under_licence.slides.html
[NbConvertApp] Redirecting reveal.js requests to https://cdn.jsdelivr.net/reveal.js/2.6.2
Serving your slides at http://127.0.0.1:8000/20151008_OpenGeo_Reuse_under_licence.slides.html
Use Control-C to stop this server
Created new window in existing browser session.
WARNING:tornado.access:404 GET /custom.css (127.0.0.1) 3.71ms
WARNING:tornado.access:404 GET /favicon.ico (127.0.0.1) 0.84ms
WARNING:tornado.access:404 GET /favicon.ico (127.0.0.1) 0.89ms
WARNING:tornado.access:404 GET /favicon.ico (127.0.0.1) 0.64ms

To close this instances press control 'c' in the ipython notebook terminal console

Static presentations allow the presenter to see speakers notes (use the 's' key)

If running dynamically run the scripts below

Pre load some useful libraries


In [13]:
#Future proof python 2
from __future__ import print_function #For python3 print syntax
from __future__ import division

# def
import IPython.core.display

# A function to collect user input - ipynb_input(varname='username', prompt='What is your username')

def ipynb_input(varname, prompt=''):
        """Prompt user for input and assign string val to given variable name."""
        js_code = ("""
            var value = prompt("{prompt}","");
            var py_code = "{varname} = '" + value + "'";
            IPython.notebook.kernel.execute(py_code);
        """).format(prompt=prompt, varname=varname)
        return IPython.core.display.Javascript(js_code)
    
# inline

%pylab inline


Populating the interactive namespace from numpy and matplotlib

\newpage

About me

  • Research Fellow, University of Nottingham: orcid
  • Director, Geolytics Limited - A spatial data analytics consultancy

About this presentation

\newpage

A potted history of mapping

In the beginning was the geoword

and the word was cartography

\newpage

Cartography was king. Static representations of spatial knowledge with the cartographer deciding what to represent.

\newpage

And then there was data .........

\newpage

Restrictive data

\newpage

Making data interoperable and open

\newpage

Technical interoperability - levelling the field

\newpage

Facilitating data driven visualization

From Map to Model The changing paradigm of map creation from cartography to data driven visualization

\newpage

\newpage

\newpage

\newpage

So where are these new data products?

\newpage

Non-technical interoperability issues?

Issues surrounding non-technical interoperability include:

  • Policy interoperabilty
  • Licence interoperability
  • Legal interoperability
  • Social interoperability

We will focus on licence interoperability

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There is a multitude of formal and informal data.

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What is a licence?

Wikipedia state:

A license may be granted by a party ("licensor") to another party ("licensee") as an element of an agreement between those parties.

A shorthand definition of a license is "an authorization (by the licensor) to use the licensed material (by the licensee)."

Each of these data objects can be licenced in a different way. This shows some of the licences described by the RDFLicence ontology

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Concepts (derived from Formal Concept Analysis) surrounding licences

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Two lead organisations have developed legal frameworks for content licensing:

Until the release of CC version 4, published in November 2013, the CC licence did not cover data. Between them, CC and ODC licences can cover all forms of digital work.

  • There are many other licence types
  • Many are bespoke
    • Bespoke licences are difficult to manage
    • Many legacy datasets have bespoke licences

I'll describe CC in more detail

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Creative Commons Zero

Creative Commons Zero (CC0) is essentially public domain which allows:

  • Reproduction
  • Distribution
  • Derivations

Constraints on CC0

The following clauses constrain CC0:

  • Permissions
    • ND – No derivatives: the licensee can not derive new content from the resource.
  • Requirements
    • BY – By attribution: the licensee must attribute the source.
    • SA – Share-alike: if the licensee adapts the resource, it must be released under the same licence.
  • Prohibitions
    • NC – Non commercial: the licensee must not use the work commercially without prior approval.

CC license combinations

License Reproduction Distribution Derivation ND BY SA NC
CC0 X X X
CC-BY-ND X X X X
CC-BY-NC-ND X X X X X
CC-BY X X X X
CC-BY-SA X X X X X
CC-BY-NC X X X X X
CC-BY-NC-SA X X X X X X

Table: Creative Commons license combinations

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Why are licenses important?

  • They tell you what you can and can't do with 'stuff'
  • Very significant when multiple datasets are combined
    • It then becomes an issue of license compatibility

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Which is important when we mash up data

Certain licences when combined:

  • Are incompatible
    • Creating data islands
  • Inhibit commercial exploitation (NC)
  • Force the adoption of certain licences
    • If you want people to commercially exploit your stuff don't incorporate CC-BY-NC-SA data!
  • Stops the derivation of new works

A conceptual licence processing workflow. The licence processing service analyses the incoming licence metadata and determines if the data can be legally integrated and any resulting licence implications for the derived product.

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A rudimentry logic example

Data1 hasDerivedContentIn NewThing.

Data1 hasLicence a cc-by-sa.

What hasLicence a cc-by-sa? #reason here

If X hasDerivedContentIn Y and hasLicence Z then Y hasLicence Z. #reason here

Data2 hasDerivedContentIn NewThing.

Data2 hasLicence a cc-by-nc-sa.

What hasLicence a cc-by-nc-sa? #reason here

Nothing hasLicence a cc-by-nc-sa and hasLicence a cc-by-sa. #reason here

And processing this within the Protege reasoning environment


In [4]:
from IPython.display import YouTubeVideo
YouTubeVideo('jUzGF401vLc')


Out[4]:

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Here's something I prepared earlier

A live presentation (for those who weren't at the event).....


In [12]:
from IPython.display import YouTubeVideo
YouTubeVideo('tkRB5Rp1_W4')


Out[12]:

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A more robust logic

  • Would need to decouple licence incompatibility from licence name into licence clause (see table below)
  • Deal with all licence type
  • Provide recommendations based on desired derivative licence type
  • Link this through to the type of process in a workflow:
    • data derivation is, from a licence position, very different to contextual display
  • etc..... for discussion?
License Reproduction Distribution Derivation ND BY SA NC
CC0 X X X
CC-BY-ND X X X X
CC-BY-NC-ND X X X X X
CC-BY X X X X
CC-BY-SA X X X X X
CC-BY-NC X X X X X
CC-BY-NC-SA X X X X X X

Table: Creative Commons license combinations

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OGC and Licence interoperability

  • The geo business landscape is increasingly based on integrating heterogeneous data to develop new products
  • Licence heterogeneity is a barrier to data integration and interoperability
  • A licence calculus can help resolve and identify heterogenties leading to
    • legal compliance
    • confidence
  • Use of standards and collaboration with organisations is crucial
  • Failure to do this could lead to breaches in data licenses
    • and we all know where that puts us........

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Questions

In terms of discussion I'm interested in how these issues affect you.........

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References