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Jaimi Dowdell
IRE/NICAR
Investigative Reporters and Editors, Inc. is a grassroots nonprofit organization
    dedicated to improving the quality of investigative reporting.
IRE was formed in 1975 to create a forum in which journalists throughout the
    world could help each other by sharing story ideas, newsgathering
    techniques and news sources.
   Training
   Resources
   Networking
   Conferences
   Data services
•Assume it’s public.
•Assume it’s free.
•Documents = databases.
Why data?
More and more, records are
    kept electronically.
  We can use them to…
Uncover    basic information. (Simple lookups)

Test   government procedures, regulations and
               officials’ promises.

Enterprise   reporting – do stories that no one
                  else is doing.


In addition: Journalism that has data elements translates
                 incredibly well online.
   Examples
   The basics of spreadsheets
   Searchable databases available online
   Finding and downloading data online
   Other databases that aren’t so readily available
   Quick online data visualization tools
Star Tribune (Minneapolis)
Pioneer Press (St. Paul, MN)
Data: National Inventory of
Bridges
Findings: Following the
collapse of an I-35 bridge
spanning the Mississippi River in
Minneapolis, journalists,
including Dan Browning and
MaryJo Webster, turned to the
National Bridge Inventory
database, available from IRE
and NICAR, to check the
bridge's inspection history. The
Start Tribune and The Pioneer
Press reported that inspection
data from 2005 showed that the
Minnesota Department of
Transportation deemed the
bridge “structurally deficient.”
The Pioneer Press also noted a
federal reporting finding that
Minnesota had 3 percent of its
bridges rated deficient in 2006.
   FINDINGS: Highlighted the insufficient rules
    for credit-reporting agencies to correct errors,
    Americans are left virtually powerless to erase
    the mistakes.
   Documented the plight of thousands who,
    through no fault of their own, have been
    denied the chance to buy a home or a car, take
    out a loan for college, rent an apartment, land a
    job, join the Armed Forces, receive medical care
    or even open a checking account.
DATA: tax-lien sales, foreclosures from foreclosure-
    radar.com tax-lien data.



FINDINGS: Bailed-out
banks bought
$16 million in tax liens
in the same
neighborhood where
they were foreclosing
homes.
DATA: workplace safety inspections

FINDINGS: Workers in many dangerous industries get a small
fraction of the attention from inspectors that construction
workers do.
Two of Washington's
most injury–prone
industries get
Almost no attention
from workplace
safety
inspectors:
Nursing homes and
Hospitals
“ESPN's "Outside the Lines" reviewed
health department inspection reports for
food and beverage outlets at all 107
North American arenas and stadiums
that were home to Major League
Baseball, National Football League,
National Hockey League and National
Basketball Association teams in 2009. At
30 of the venues (28 percent), more than
half of the concession stands or
restaurants had been cited for at least
one "critical" or "major" health violation.
Such violations pose a risk for foodborne
illnesses that can make someone sick, or,
in extreme cases, become fatal.”
Milwaukee Journal
Sentinel
Data: State hunting and
corrections data
Findings: Analyzing
state data on hunting
licenses, Ben Poston of
the Milwaukee Journal
Sentinel found that
dozens of convicted
felons in Wisconsin were
issued gun-deer hunting
licenses last year
despite a state law that
bans them for life from
possessing firearms.
Felons with armed
robbery, rape and
weapons convictions all
bought gun-deer
licenses in Wisconsin in
2006. A state legislator
proposed law to close
the license loophole.
Online
Herald Tribune (Sarasota, FL)
Data: The newspaper reviewed more than
19 million Florida real estate transactions
to determine how much of the real-estate
bust had its root in housing fraud.

Findings: The year-long investigation
found that more than 50,000 Florida
properties flipped under suspicious
circumstances from 2000 through 2008.
Those flips artificially drove up housing
prices and tax bills and contributed to the
crush of foreclosures that has gutted the
real estate market. All over the state,
professional property flippers made
billions in profits on the back of concocted
land deals.
   The difference between a spreadsheet and a
    database.
   Why use other software?
   Options?
   Remember – any time a biz interacts with the
    government, information becomes public.
   Ask for the document and/or data retention
    schedule.
     Missouri, Montana
   Get a tour.
   Grab every blank form – both internal and
    external – in all agencies you cover.
   Meet the document and data clerks and the IT
    folks.
   FOIA – Open records logs
   State and federal statutes
   Appendix and footnotes to audits and reports
     Inspectors General
     State auditors
     GAO reports (Government Accountability
      Office)
     Canada – Auditor general
   Major Information Systems – request a list from
    government agency: example US Marshall’s list
    here.
   Something in a “chart” format may mean that a
    database exists: example California West Nile
    Virus here.
   Online forms to submit information:
    example Wisconsin Insurance Complaint
    form here.
   Actually read a web site – don’t let it force
    you into predefined roles: example North
    Carolina Department of Revenue here.
    (site map, search)
     Search for keywords related to data:
      download, database, information
      system, submit, searchable, inspection,
      enforcement, Excel, etc.
   OSHA workplace safety inspections
   Federal contracts (FPDS) (ex. Border
    protection)
   Recalls (look at tabs for topics)
   Economy at a Glance from the Bureau of Labor
    Statistics
   Local Area Unemployment Statistics from the
    BLS
   EPA environmental data searches
   Fatality Analysis Reporting System data (FARS)
   National sex offender registry (Department of
    Justice)
   Transportation data from BTS
   Aircraft data (service difficulty reports, on-time
    data, aircraft registry, etc.)
       NTSB Aviation Accidents (and more)
       FAA accidents/incidents and service difficulty
        reports (SDRs)
       Flight tracker from flightaware
       On-time statistics
   Nursing home, hospital and home health data
    from Medicare
   Firearms data from the ATF
   Migration data from the IRS
   Tax data from IRS (tax exempt orgs)
   Mine Safety and Health Administration
    (MSHA)
   National Agricultural Statistics Service
Consumer Reports
                                      (pdf report)
                                      •On-time by airport (pg 7)
                                      •Departure by time (pg 13)
                                      •Chronically delayed flights (pg 15)
                                      •Tarmac delays (pg 25)
                                      •Mishandled baggage (pg 29)
                                      •Injuries and deaths involving pets
                                      (49)

From Bureau of Transportation statistics
(Downloadable to Excel)
•Flight delays
•Bag fees by airline
•Chronically delayed flights
•Cancelled flights
   American FactFinder for quick data profiles.
   Datasets from IRE– download profiles,
    comparisons and more.
   Get information on the Census from ASU’s
    Walter Cronkite School of Journalism and IRE.
   Fedstats – A to Z list of statistical data from the
    government.
   Data.gov – Searchable catalogs of government
    data. (search for business, contracts,
    inspections, etc.)
   USAspending.gov or FedSpending.org –
    Federal spending data including grants, loans,
    contracts, etc. (Ex. Coca Cola)
   State Government Databases wiki from the
    American Library Association

   BRB Publications links to public records sites
   Search by domain:
     .gov – government sites (other types: .edu, .org,
      .com, .net, etc.)
     Example – search for “Oil spill” “2010” and limit to
      site:.gov
   Search by file type:
     .xls for spreadsheets; .txt, .csv for text files; .mdb,
      .dbf for databas files
     Example – Same search as above but limit to
      filetype:xls
   Search for words within a URL:
       Examples: ftp, download, data, inspection,
        enforcement, 2010, etc.
   In Excel format – example IRS Exempt
    Organizations here.
   From the web – example California West Nile
    Virus here.
   In text format – example from data.gov search
    on “inspection” here.
   PDF to Excel – try cometdocs.com
   Our datasets are “cleaned.”

   All have national data. Some are sliceable by
    state.

   They are typically large – meant to be handled
    in a database manager and not a spreadsheet.
    (We can work with you on that, though.)
   Some examples…
HMDA, enacted in 1975, requires all
                                        banks, savings and loans, savings
                                        banks and credit unions with assets
                                        of more than $33 million and offices
                                        in metropolitan areas to report
                                        mortgage applications.




Track subprime loans
Look for discrimination
Find changes in your area since the housing crash
Look for trends
Data contain loans made to
                                                businesses and individuals
                                                as disaster assistance. The
                                                data identifies the
                                                borrower, the disaster, the
                                                amount and, for business
                                                borrowers, whether the
                                                loan was paid in full or
                                                deemed uncollectible.


Which disasters have hit your community hardest
Are there any people/businesses who’ve received multiple loans?
What’s the biggest loan?
How much hasn’t been collected?
How much won’t be collected?
 How frequently are bridges being inspected?
 How old are they?
 What is their government-assigned status: 1=Structurally Deficient;
2=Functionally Obsolete; 0=Not Deficient; N=Not Applicable
 What are the sufficiency ratings of bridges in your area?
Doesn’t seem like a business story? Think again. Look at areas that have
grown quickly and have lots of development. Are dams/bridges that were
previously thought harmless now in an area of dense development? How
does that change things?
IRS Tax Exempt Orgs database
•Get a list of all of the nonprofits in your community
•Find the biggest ones
•Find the ones the generate the most revenue
•Find the ones that generate the least revenue
•Use this information to investigate individual
nonprofits
•Example – Atlanta spreadsheet
•Get individual 990s from Guidestar or Foundation
Center
   Federal Contracts
   IRS Migration
   NAFTA Trade Adjustment Assistance (TAA)
   Local contracts
   Toxics Release Inventory
   Campaign contributions
   Dozens of national
    data sets for local
    enterprise stories
   Links to stories based
    on each data set
   Links to tip sheets on
    using the data
   Find more
    information at
    data.nicar.org/data
Some simple online tools
Example: Michigan CAFOs
Jaimi Dowdell
jaimi@ire.org
Jaimi.dowdell@gmail.com
@JaimiDowdell
datalib@ire.org

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Data Journalism for Business Reporting

  • 2. Investigative Reporters and Editors, Inc. is a grassroots nonprofit organization dedicated to improving the quality of investigative reporting. IRE was formed in 1975 to create a forum in which journalists throughout the world could help each other by sharing story ideas, newsgathering techniques and news sources.
  • 3. Training  Resources  Networking  Conferences  Data services
  • 4. •Assume it’s public. •Assume it’s free. •Documents = databases.
  • 6. More and more, records are kept electronically. We can use them to…
  • 7. Uncover basic information. (Simple lookups) Test government procedures, regulations and officials’ promises. Enterprise reporting – do stories that no one else is doing. In addition: Journalism that has data elements translates incredibly well online.
  • 8. Examples  The basics of spreadsheets  Searchable databases available online  Finding and downloading data online  Other databases that aren’t so readily available  Quick online data visualization tools
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  • 11. Star Tribune (Minneapolis) Pioneer Press (St. Paul, MN) Data: National Inventory of Bridges Findings: Following the collapse of an I-35 bridge spanning the Mississippi River in Minneapolis, journalists, including Dan Browning and MaryJo Webster, turned to the National Bridge Inventory database, available from IRE and NICAR, to check the bridge's inspection history. The Start Tribune and The Pioneer Press reported that inspection data from 2005 showed that the Minnesota Department of Transportation deemed the bridge “structurally deficient.” The Pioneer Press also noted a federal reporting finding that Minnesota had 3 percent of its bridges rated deficient in 2006.
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  • 14. FINDINGS: Highlighted the insufficient rules for credit-reporting agencies to correct errors, Americans are left virtually powerless to erase the mistakes.  Documented the plight of thousands who, through no fault of their own, have been denied the chance to buy a home or a car, take out a loan for college, rent an apartment, land a job, join the Armed Forces, receive medical care or even open a checking account.
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  • 18. DATA: tax-lien sales, foreclosures from foreclosure- radar.com tax-lien data. FINDINGS: Bailed-out banks bought $16 million in tax liens in the same neighborhood where they were foreclosing homes.
  • 19. DATA: workplace safety inspections FINDINGS: Workers in many dangerous industries get a small fraction of the attention from inspectors that construction workers do. Two of Washington's most injury–prone industries get Almost no attention from workplace safety inspectors: Nursing homes and Hospitals
  • 20. “ESPN's "Outside the Lines" reviewed health department inspection reports for food and beverage outlets at all 107 North American arenas and stadiums that were home to Major League Baseball, National Football League, National Hockey League and National Basketball Association teams in 2009. At 30 of the venues (28 percent), more than half of the concession stands or restaurants had been cited for at least one "critical" or "major" health violation. Such violations pose a risk for foodborne illnesses that can make someone sick, or, in extreme cases, become fatal.”
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  • 22. Milwaukee Journal Sentinel Data: State hunting and corrections data Findings: Analyzing state data on hunting licenses, Ben Poston of the Milwaukee Journal Sentinel found that dozens of convicted felons in Wisconsin were issued gun-deer hunting licenses last year despite a state law that bans them for life from possessing firearms. Felons with armed robbery, rape and weapons convictions all bought gun-deer licenses in Wisconsin in 2006. A state legislator proposed law to close the license loophole.
  • 24. Herald Tribune (Sarasota, FL) Data: The newspaper reviewed more than 19 million Florida real estate transactions to determine how much of the real-estate bust had its root in housing fraud. Findings: The year-long investigation found that more than 50,000 Florida properties flipped under suspicious circumstances from 2000 through 2008. Those flips artificially drove up housing prices and tax bills and contributed to the crush of foreclosures that has gutted the real estate market. All over the state, professional property flippers made billions in profits on the back of concocted land deals.
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  • 28. The difference between a spreadsheet and a database.  Why use other software?  Options?
  • 29. Remember – any time a biz interacts with the government, information becomes public.  Ask for the document and/or data retention schedule.  Missouri, Montana  Get a tour.  Grab every blank form – both internal and external – in all agencies you cover.  Meet the document and data clerks and the IT folks.
  • 30. FOIA – Open records logs  State and federal statutes  Appendix and footnotes to audits and reports  Inspectors General  State auditors  GAO reports (Government Accountability Office)  Canada – Auditor general
  • 31. Major Information Systems – request a list from government agency: example US Marshall’s list here.  Something in a “chart” format may mean that a database exists: example California West Nile Virus here.
  • 32. Online forms to submit information: example Wisconsin Insurance Complaint form here.  Actually read a web site – don’t let it force you into predefined roles: example North Carolina Department of Revenue here. (site map, search)  Search for keywords related to data: download, database, information system, submit, searchable, inspection, enforcement, Excel, etc.
  • 33. OSHA workplace safety inspections  Federal contracts (FPDS) (ex. Border protection)  Recalls (look at tabs for topics)  Economy at a Glance from the Bureau of Labor Statistics  Local Area Unemployment Statistics from the BLS  EPA environmental data searches
  • 34. Fatality Analysis Reporting System data (FARS)  National sex offender registry (Department of Justice)  Transportation data from BTS  Aircraft data (service difficulty reports, on-time data, aircraft registry, etc.)  NTSB Aviation Accidents (and more)  FAA accidents/incidents and service difficulty reports (SDRs)  Flight tracker from flightaware  On-time statistics
  • 35. Nursing home, hospital and home health data from Medicare  Firearms data from the ATF  Migration data from the IRS  Tax data from IRS (tax exempt orgs)  Mine Safety and Health Administration (MSHA)  National Agricultural Statistics Service
  • 36. Consumer Reports (pdf report) •On-time by airport (pg 7) •Departure by time (pg 13) •Chronically delayed flights (pg 15) •Tarmac delays (pg 25) •Mishandled baggage (pg 29) •Injuries and deaths involving pets (49) From Bureau of Transportation statistics (Downloadable to Excel) •Flight delays •Bag fees by airline •Chronically delayed flights •Cancelled flights
  • 37. American FactFinder for quick data profiles.  Datasets from IRE– download profiles, comparisons and more.  Get information on the Census from ASU’s Walter Cronkite School of Journalism and IRE.
  • 38. Fedstats – A to Z list of statistical data from the government.  Data.gov – Searchable catalogs of government data. (search for business, contracts, inspections, etc.)  USAspending.gov or FedSpending.org – Federal spending data including grants, loans, contracts, etc. (Ex. Coca Cola)
  • 39. State Government Databases wiki from the American Library Association  BRB Publications links to public records sites
  • 40. Search by domain:  .gov – government sites (other types: .edu, .org, .com, .net, etc.)  Example – search for “Oil spill” “2010” and limit to site:.gov  Search by file type:  .xls for spreadsheets; .txt, .csv for text files; .mdb, .dbf for databas files  Example – Same search as above but limit to filetype:xls  Search for words within a URL:  Examples: ftp, download, data, inspection, enforcement, 2010, etc.
  • 41. In Excel format – example IRS Exempt Organizations here.  From the web – example California West Nile Virus here.  In text format – example from data.gov search on “inspection” here.  PDF to Excel – try cometdocs.com
  • 42. Our datasets are “cleaned.”  All have national data. Some are sliceable by state.  They are typically large – meant to be handled in a database manager and not a spreadsheet. (We can work with you on that, though.)  Some examples…
  • 43. HMDA, enacted in 1975, requires all banks, savings and loans, savings banks and credit unions with assets of more than $33 million and offices in metropolitan areas to report mortgage applications. Track subprime loans Look for discrimination Find changes in your area since the housing crash Look for trends
  • 44. Data contain loans made to businesses and individuals as disaster assistance. The data identifies the borrower, the disaster, the amount and, for business borrowers, whether the loan was paid in full or deemed uncollectible. Which disasters have hit your community hardest Are there any people/businesses who’ve received multiple loans? What’s the biggest loan? How much hasn’t been collected? How much won’t be collected?
  • 45.  How frequently are bridges being inspected?  How old are they?  What is their government-assigned status: 1=Structurally Deficient; 2=Functionally Obsolete; 0=Not Deficient; N=Not Applicable  What are the sufficiency ratings of bridges in your area? Doesn’t seem like a business story? Think again. Look at areas that have grown quickly and have lots of development. Are dams/bridges that were previously thought harmless now in an area of dense development? How does that change things?
  • 46. IRS Tax Exempt Orgs database •Get a list of all of the nonprofits in your community •Find the biggest ones •Find the ones the generate the most revenue •Find the ones that generate the least revenue •Use this information to investigate individual nonprofits •Example – Atlanta spreadsheet •Get individual 990s from Guidestar or Foundation Center
  • 47. Federal Contracts  IRS Migration  NAFTA Trade Adjustment Assistance (TAA)  Local contracts  Toxics Release Inventory  Campaign contributions
  • 48. Dozens of national data sets for local enterprise stories  Links to stories based on each data set  Links to tip sheets on using the data  Find more information at data.nicar.org/data
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