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As It Happened:
Economic Data and Publications as Snapshots in Time
Federal Reserve Bank of St. Louis
Presented at the Fall Federal Depository Library Conference
October 19, 2004
Speakers:
Robert Rasche
Katrina Stierholz
Robert Suriano
Julie Knoll


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Speaker: Robert Rasche
Good morning.
As the introduction indicated, I am not a librarian. By training I am an economist;
most of my worklife was spend in academia; for almost six years I have been the research
director at the Federal Reserve Bank of St. Louis. My perspective on government
documents is that of a long-time user: I can probably match anyone in attendance in the
number of hours spent sitting on the floor of the stacks in government documents
collections searching for obscure data.
Our presentation this morning is something of a tag team match. I will present
some background on which government documents really interest the economic research
community and why. Katrina Stierholz who manages the research library at the St. Louis
Fed will address the question of why in the world a small Federal Reserve Bank research
library got involved in a project to digitize and electronically disseminate selected
government documents – in particular how we convinced anyone that this is an
appropriate part of our mission. Rob Suriano, who supervises our FRASER project will
talk about how we organize the production of the images, including scanning, cleaning,
conversion to .pdf and OCR. Finally, Julie Knoll will bat cleanup and talk about the
delivery systems that we use or are developing.
Economic researchers are interested in arcane government documents for two
reasons, both related to the revision process through which many economic data evolve.
First, in contrast to “hard sciences” such as physics and chemistry, standards of
documentation in empirical research in economics are pretty slipshod. Historically it was
common practice to send a research assistant or undergrad off to the library to collect the


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desired data series. Current practice usually involves extracting the desired information
from any number of electronic databases, including the FRED collection of data that is
provided on the Internet on our website. The sad joke in the economics profession is that
it is virtually impossible to reproduce any empirical result that appears in print – peerreviewed or otherwise. This was a long-standing bone of contention by my predecessor,
a former journal editor, and one of my current colleagues, who wrote in the American
Economic Review on the issue almost two decades ago.1 Little has changed in the interim.
Second, modern theoretical models of economic activity, particularly models of
the macroeconomy and the impact of fiscal and monetary policies, emphasize the role of
expectational forces. Expectations are formed on the information known at the point-intime, not on the revised information that becomes available after the fact. Hence to
implement this type of model correctly it is necessary to have access to data points that
are indexed in two dimensions: the point-in-time at which the data are published and the
period of time to which the observation applies. As an example, consider the data that
are published monthly on payroll employment. On October 8, 2004, an initial
observation for September employment was released by the Bureau of Labor Statistics. It
showed an increase of 96,000 employed persons – generally less than prognosticators
anticipated. On the first Friday each of November and December a revised value will be
published for this observation. Such revisions can be substantial. However, as we sit
here in October, the only information we have available to utilize in forming expectations
(i.e. making forecasts) about the future path of the economy is the initial estimate of

1

Richard G. Anderson, William G. Dewald and Jerry Thursby, “Replication and Scientific Standards in
Empirical Economics: Evidence from the JMCB Project,” American Economic Review, September 1986.


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September’s employment, not the information that will be available to us about
September come December or later.
For us, creating “digital master files” of historic data publications is what
economists call “intermediate product” – a means to an end. What we are really
interested in constructing and providing are “derivative files”2 We are creating two
different types of derivative files. The first are just .pdf versions of various scanned
pages. We post these to our FRASER web site <fraser.stlouisfed.org>. The .pdf format is
useful because it is easily accessible throughout the international economics research
community. Searchable .pdf is a valuable asset to this community. We typically perform
OCR on the scanned pages. OCR is not a 100 percent accurate process and since we do
not have the resources to verify every number or character on every page that we post to
FRASER one policy issue that we face is under what conditions we will allow search
access to the pages. We will discuss our thoughts on this issue later in this discussion.
A second desirable aspect of the .pdf format is that we can organize materials in
along different dimensions. For example, we have each monthly issue of Economic
Indicators posted as a separate file on FRASER. The researcher who selects the file for a
particular issue sees the available data at a point in time on many variables. In addition
we have constructed files of individual tables (for example Federal Budget Receipts and
Expenditures or Employment in Business and Government.) that appear regularly in
Economic Indicators. These tables are posted in files grouped in five-year segments to
keep the files to a reasonable size. Hence a researcher interested on how data on one

2

Report of the Meeting of Experts on Digital Preservation, Washington DC: U.S. Government Printing
Office, March 12, 2004. <www.gpoaccess.gov/about/reports/preservation.html>, p. 3


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particular variable evolved over time can download these files and proceed through the
tables chronologically.
The second type of derivative files will appear in a service that we will launch
during 2005 – AlFred, for ArchievaL FRED. This site will allow a researcher to specify
a set of data series and a range of dates, say 1-Jun-1974 through 30-Jun-1974. This
inquiry will create either a text or an Excel file that contains all the observations on the
specified series as they were available during the indicated interval. Since August 1999
we have created an archive of our FRED electronic database of economic data at the end
of each month. We have extended these histories backward using information in hard
copy data publications that the Bank prepared since 1966 and from other published
sources, generally those of the originating agency. Unfortunately, we have found that in
some cases when comprehensive revisions to data are released, the entire history has
neither been published nor preserved by the originating agency. To the extent we have
been able to locate information in secondary sources we have been able to fill in many of
the gaps. Regrettably, it appears to be impossible to reconstruct parts of some histories.
We have assembled complete monthly histories, to the extent that the history has
been preserved, for 24 series, generally beginning with the data that became available in
January 1966. In one case, Industrial Production, we have complete histories beginning
with May 1927. We are in the process of constructing histories for about 40 more series.
It is desirable to know the dates upon which various series were first made
available to the public. Generally, since about 1994, these statistical releases are
available on Web sites of the originating agency. For earlier information, in some cases
we have been able to find the original news releases for the statistics that contain the date


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of release (see example.) If anyone has such documents squirreled away in cold storage,
we would be happy to borrow them and tabulate the publication information. In other
cases we rely on historic statistical publications of the Federal Reserve Bank of St. Louis.
Starting in 1966 these publications these publications contained computer printouts with
the most recent information on various data series. At the bottom of each computer
printout was a date of preparation. Where we have the information to cross-check against
the news releases we find that the printouts were prepared either on the date the data were
released or the next business day. A third source of dating information is published
“scheduled release dates” from the Department of Commerce and the Department of
Labor. Generally these schedules are available starting around 1980. Finally, lacking
any other source of date information, we use the last day of the month in which the
updated data were released.


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Series Name
Civilian Employment
Exports of Goods and Services Constant
Exports of Goods and Services Current
Government Purchases of Goods and
Services, Constant
Government Purchases of Goods and
Services, Current
Gross Domestic Product, Constant Prices
Gross Domestic Product, Current Prices
Gross Private Domestic Investment, Constant
Gross Private Domestic Investment, Current
Imports of Goods and Services, Constant
Imports of Goods and Services, Current
Industrial Production
Output per Man Hour, Business Sector
Output per Man Hour, Nonfarm Business
Sector
Payroll Employment
PCE, Constant
PCE, Current
Monthly Personal Income, Nominal
Monthly Personal Income, Real
Monthly Disposable Personal Income,
Constant
Monthly Disposable Personal Income
Retail Sales, Nominal
Unit Labor Costs, Private Business Sector
Real Manufacturing and Trade Sales


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First
column

Last
First
column
observation
24-Sep11-Jan-66
04
Jan-48
24-SepJan-66
04
Mar-47
Jan-66 1-May-04
Mar-46
Jan-66

1-Mar-04

Mar-47

Jan-66
Jan-66
Jan-66
Jan-66
Jan-66
Jan-66
Jan-66
May-27
Jun-68

1-Mar-04
1-Mar-04
1-Mar-04
1-May-04
1-May-04
1-Jun-04
1-Jun-04
1-Jan-04
1-Jun-04

Mar-46
Mar-47
Mar-46
Mar-47
Mar-46
Mar-47
Mar-46
Jan-19
Mar-47

Jun-68

Mar-47

17-Jan-66
Jan-66
Jan-66
19-Jan-66
Nov-76

1-Jun-04
24-Sep04
1-Aug-99
1-Aug-99
1-May-04
Sep-04

Jan-79
Jan-79
17-Jan-66
Jun-68
Nov-76

Sep-04
Sep-04
1-Aug-99
2-Jul-04
Sep-04

Jan-48
Jan-48
Jan-47
Mar-47
Jan-48

8

Jan-39
Mar-47
Mar-46
Jan-46
Jan-48

Speaker: Katrina Stierholz
The FRASER project, along with ALFRED and the union catalog, are a part of
our mission, because providing economic data to the public has historically been an
important mission for the St. Louis Federal Reserve Bank of St. Louis.
First of all, I’d like to explain a little bit about the Federal Reserve System and
where the St. Louis Fed fits into the organization. The Federal Reserve System is divided
into two parts: the Federal Reserve Banks and the Board of Governors. The Board of
Governors is part of the federal government. The 12 Federal Reserve Banks are not. The
Federal Reserve Banks operate as independently chartered banking institutions. I think
the world sees us as a single entity, but we see ourselves as 13 very distinct institutions.
There is no “head Federal Reserve Bank”. The BOG oversees each Federal
Reserve Bank, but we operate very independently. Each bank has, over time, assumed a
specialization. For instance, the Federal Reserve Bank of New York is in charge of open
market operations and keeps an eye on international banking agreements. The Federal
Reserve Bank in San Francisco focuses on the Asia-Pacific region. The Kansas City Fed
specializes in issues in rural America. And the St. Louis Fed specializes in economic
data.
One thing every Fed does have is economists. The economists’ research various
economic questions and offer advice to the president of the Federal Reserve Bank
regarding the state of the economy and the federal funds rate set by the FOMC (aka, the
“interest rate”). So, the Board of Governors and every Federal Reserve Bank has a
research library to support these economists and their work. I work in the St. Louis
Fed’s research library.


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When I joined the St. Louis Fed just a little over 2 years ago, Bob began this
search for the economic data that would tell him exactly what economists knew at a
particular point in time. A kind of “what did they know and when did they know it”
question for economists and economic policy. We began by searching for press releases
put out when various economic indicators were released—CPI, PPI, Retail Sales—pretty
much anything that offered release dates to add to the ALFRED database. Bob saw the
value of this information, and decided to make it available in two ways—as the
publication (a scanned document via FRASER) and as a database with data points and
release dates (ALFRED). This would build on our strength as the economic and
financial data source. As Bob mentioned, some of the information was in our own
publications, but much of what we’ve gotten has come from depository libraries and the
help of depository librarians. I will talk a little later about some of our hurdles in getting
this information, as well as what I see as issues for libraries to deal with when it comes to
retaining information.
I have a personal experience with economic data that really brought home for me
the problems of that 20/20 hindsight. As a product of getting some material together for
Bob, I retrieved the National Summary of Business Conditions published in the Federal
Reserve Bulletin from about 1927 to the early 1940’s. These were commentary—a page
or two, describing the state of the economy. Well, of course I started reading them.
Because the Depression was such a profound influence on my parents, I read especially
carefully the months following the crash in 1929.


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Industrial production declined further in October, and ther was also a

decrease in factory employment. As compared with a year ago, industrial activity

10

continued to be at a higher level, and distribution of commodities to the consumer
was sustained. Bank credit outstanding increased rapidly in the latter part of
October, when security prices declined abruptly and there was a large liquidation
of brokers’ loans by nonbanking lenders. In the first three weeks of November
further liquidation of brokers’ loans was reflected in a reduction of security loans
of member banks. Money rates declined throughout the period.
First paragraph, National Summary of Business Conditions published in the
Federal Reserve Bulletin, Dec 1929]

I had expected to read something earth shattering—something close to the sky is
falling. I kept thinking—can’t they see what’s coming? Don’t they know it’s the Great
Depression? But, no, they didn’t. It is with 20/20 hindsight that we realized what was
coming—how bad it would be and how long it would last.
A little more about the St. Louis Fed
Back to St. Louis and our specialization in economic data. Every Federal Reserve
Bank gathers data. What makes the St. Louis Fed unique is that we also publish data.
We are, and have been for almost 40 years, a premier provider of economic data. And
the reason for publishing data comes from an economic debate, a debate that St. Louis
played a large role in arguing. The data was essentially published to prove a point, to
back up an argument. The case that was being made was in support of an economic
argument between Monetarists and Keynesians. An argument over what controlled
inflation. Economic data would be an important tool for economists in this debate.


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Many economists at the St. Louis Fed were Monetarists. Monetarists believed
that the money supply is an important measure/indicator of the economy and that the
supply of money directly influenced inflation. The St. Louis Fed was famous for its
advocacy of Monetarism, which was counter to what most of the economists at the BOG
and other Feds thought.
At the same time that St. Louis became a home for Monetarists, it also began to
change in other ways. The head of Researcch at the time was Homer Jones (I work in the
Homer Jones library). Mr Jones changed the Review (our bank’s flagship publication)
during this time. Until then, articles were unsigned and had no footnotes. During Homer
Jones’ time, articles began to list authors and have footnotes. The Review went from
being a local bank publication with a focus on regional economics to an academic-style
publication with a focus on national economics. As the head of Research, Jones required
the authors of articles in the Review to back up their statements with empirical data.
So, the focus on monetarism, combined with these academic-level expectations of
research and writing, and the emphasis on empirical work, brought about this focus on
economic data. To support their arguments (and to provide all economists of any policy
persuasion the same ammunition), the St. Louis Fed began publishing data series for
economic researchers.

Data publications produced (these became the basis for FRED)


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Triangles of US Economic Data (monthly, Jan 1966-May 1967)
Triangles of US Economic Data: Quarterly Supplement (Jan 1966-May 1967)
USFD (weekly, January 1966- )

12

Monetary Trends (monthly, June 1967- )
National Economic Trends (monthly, August 1967 - )

These publications were freely distributed, and added to the empirical information
available as to cause and effect for Fed policies and the economy
So, as a result of the St. Louis Fed’s focus on backing up their answers to
questions with data, the St. Louis Fed collected, organized, and produced data. The
intent was to provide empirical evidence for researchers to study, and then use as support
for their ideas. The fundamental goal was to provide high quality economic and financial
data.
For 15 years, the data was only produced in paper. Thirteen years ago FRED was
born. FRED has been ‘live’ or ‘alive’ now for 13 years.
FRED
We have very little information on FRED as a baby —a reflection of how hard it
is to see the need to archive information at the moment the information is created
(another 20/20 hindsight). I have an email from someone describing it when it was a
BBS (the email is from 1993, FRED went live late in 1991). See powerpoint slide
announcing electronic bulletin board (baud, etc.). And I have a screen shot of FRED
from 1996, after it had gone live on the web. Both of those images are from the wayback
machine, not from our files (oops). When we went online, more data was added. Even
the print publications grew, but the electronic version grew
FRED/FRASER


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So, that’s the history of FRED and how our focus on data all started. Rob will
discuss our current FRED, FRASER, and the projects that we’re working on.
LIBRARY ISSUES
Before I turn it over to Rob, I want to spend a few minutes on some library issues.
While I was looking for the material to fulfill our need to have release dates for the data, I
ran into an interesting problem. I had a very hard time finding the release date for data.
Government agencies put out press releases, with the initial data. Then the revised data
would come out, often as part of the next month’s press release. When the third and final
release was done, a real document was released (e.g., the monthly CPI publication).
Virtually every library threw out the press releases, as these were considered superseded
by “better” and newer data. The problem with that is that you lose the sense of what was
known at the time. In many cases, I called documents librarians all over the country,
searched online catalogs for so many libraries (thank God for consortium catalogs), and
even called the issuing agency and the Library of Congress. Often, it was a depository
library that came through, when both LC and the agency could not. It is interesting to me
that even with the FDLP’s strict retention requirements, so few libraries kept the
information. And, for that matter, agencies often did not keep the material either.
Besides losing the print press releases, or other “current news” that was
subsequently revised, the electronic versions were also often lost. We were as bad about
this as anyone. When data was received, a new version was written over the old version.
Backups were maintained, but for the purposes of recreating the current data—not for
keeping a historical record of the data. There have been several cases where I’ve called
the issuing agency to see if they have electronic versions of their old data (how easy


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would that be for us?). Unfortunately, because disk space was scarce, files were
overwritten. I have not yet gotten any significant old data in electronic form. We were
just as bad, but are now reformed. In 1999, the St. Louis Fed began taking weekly
snapshots of our data. In the electronic case in particular, the loss is permanent. While
we would often find the paper press releases in libraries as a result of benign neglect, for
electronic files there was only one copy, and they were all overwritten.
As librarians, it is so very hard to predict what users will need in the future.
Libraries have such pressure to remove material that appears to have no value--and one
could reasonably argue that these data releases had no value. But, in the end, there is
great value to their initial judgments. Policy decisions are made with the data that is
released at the moment, not with the perfect data that we see now. It is important to see
the data using the same imperfect lens as economists had at the time it was released.
One other important point (and a great big thank you)—we have benefited so
much from government documents libraries and librarians. Much of what Rob will tell
you about with regards to FRASER has only been possible through the generosity of
depository librarians. St. Louis Public let us take all of their unbound Economic
Indicators, remove the staples, scan them, and then re-staple them and give them back.
We have also gone through the Needs and Offers lists and requested items that are now
being scanned. I am truly grateful, but not surprised, at the generosity and helpfulness of
so many documents librarians who searched their shelves for hidden treasures, let us
borrow and copy, and for those who sent their Needs and Offers list to the National list.
We have made great use of that list. As my personal 2 cents—if you have a lovely, long


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run of an economic item, please feel free to give me a call or drop me an email. I will
take them off your hands and refund your shipping costs.

So, in the end, why is this an appropriate part of our mission?
1.

It serves to further economic knowledge, a core mission for the St. Louis Fed

2.

We continue our work in giving economists and researchers easy access to a
wide variety of data. We intend to continue to be a single, authoritative site
for finding economic data.

With that, Rob will now come up and describe FRED and FRASER.


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Speaker: Robert Suriano
Economic Data at STLFRB
As Katrina and Bob mentioned, our goal at the Federal Reserve Bank of St. Louis
is to become the premier sources of economic and financial data. I want to spend most of
my time discussing our newest resource – FRASER – but I want to take a few moments
to talk about our data publications and FRED, both of which are the mainstay of our
resources. Then, after I discuss FRASER, I’ll talk briefly about a few future projects that
we hope will only enhance our reputation, as well as expand upon what we are already
providing.
Data Publications
As a base for both economic theory (our Monetarist roots) and a source of data
about both the economic conditions both regionally and nationally, the Bank has been a
producer of reports, publications, and papers.
Posted on the web site are such publications as the Regional Economist and our
nationally recognized Review. In addition there are statistics-based reports such as
Monetary Trends, National Economic Trends, International Economic Trends, and U.S.
Financial Data. Each of the latter publications graphically depicts the data that we make
available in FRED and widely used sources in the financial, economic, and academic
communities.
FRED
Our largest offering is FRED (or Federal Reserve Economic Data), which is an
electronic database located on our web site. We currently offer over 3,000 economic time
series on FRED, which include banking & financial, employment & population,


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monetary aggregates, interest rates, and US Trade data (among others) from the Board of
Governors, the US Government, as well as commercial sources. Most series are available
back to the mid-1960s to mid-1980s, with a few sereis – like the amount of currency in
circulation – available back to before 1920.
The data on FRED is available for download to straight text, spreadsheet, or
viewable online in graphical format. Each series we make available includes its source,
when it was last updated, as well as any notes that may be pertinent to the user (such as
change in the source or how the data was collected or aggregated).
In addition to just posting the data online, we also provide an email notification
service that lets researchers know when a desired data series has been updated. This
alleviates the need to continually check the site to see if a particular series has been
released.
FRASER Screenshot
Our latest project – which went live July 1 of this year – is FRASER. (If you
haven’t had the chance to visit the site, this is what it looks like today. We even have a
little survey up to let us gather feedback from users. We’re actually demonstrating
FRASER, as well as the other features of our site at our booth here at the conference, so
please drop by.)
FRASER
FRASER is the Federal Reserve Archival System for Economic Research. It is an
electronic archive of historic economic statistical publications.
Ultimately it will provide an essential link between those data series now
available electronically (and particularly on FRED) with the historic past of those series


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currently only available in printed form. Such information as banking statistics from 1896
or consumer prices to the 1930s.
We are limiting the scope of publications we include on FRASER to government
documents, and those in the public domain. We currently have no plans to include those
with copyright restrictions. And, as we have let many of you who have asked, this a free
site; there is no charge to access the publications on the site.
We currently have a modest number of publications available, focused at this time
on national banking and economic data, but our long term goal will be to expand this to
include other prominent national economic serials, such as Business Conditions Digest,
and regional data, such as the City & County Data Book.
While we do have some data series on FRED that go back to the early part of last
century, these are data that typically represent the final revised figures as presented by the
originating organization. And, not all of the data on FRED goes back beyond the 1970s
or 1960s. The underlying purpose of FRASER will be to make available data series as
they were released – in their preliminary, revised, and final values. As you can imagine,
this will ultimately extend the data on FRED to the past. And we hope someday to
efficiently extract data from scanned images and provide seamless data series and make
them fully useful to researchers.
I’d now like to take a few moments to talk about how we put FRASER together…
FRASER Workflow
This is a diagram illustrating the different steps we are using at the Federal
Reserve Bank of St. Louis to create digital images from paper-based publications.


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Each publication is scanned to produce Tagged Image File Format files. The file
is cleaned of imperfections and saved as a multi-page TIFF file. The original image is
archived while the “cleaned” image is run through an OCR routine to create underlying
text and convert the file to PDF format for posting to the FRASER site.
We are also storing the original paper publications in the event that we have to go
back and repeat the imaging. The original TIFF files are archived for the same purpose –
in the event that we need to create a new PDF file.
Image Preparation
The imaging of a publication or document is dependent upon a number of factors,
including the quality of the printing and the efficiency of the scanner. Also, depending on
how the publication was utilized in its life on the shelf, there may be handwritten
notations or underlining within the text, and some pages may have become smudged or
even torn.
Our cleaning process – via the use of an editing software package, allows us to
remove many of these non-published marks and imperfections.
Imaging imperfections include lines or spots due to dust or residue on the scanner
lenses or rollers.

Misalignment is caused by pages not scanned perfectly straight. These
consequently need to be reoriented to vertical.
The handwritten notations and library stamps that we run across are also removed
from the scan as efficiently as possible. On occasion, this is not always possible, but our
goal is to create an image that is as close to the original printed publication as possible.


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The cleaning process is the most labor-intensive step. The software we are using –
and I’ll let Julie talk more about that aspect – is such that it allows for manual “erasing”
of imperfections rather than automated removal. We’ve found that typically a person can
clean around 100 pages or so an hour if the image is fairly clean of marks. The “dirtier”
the image, the slower the rate of cleaning.
FRASER Production Status
As of this month – and in actuality last week – we had completed scanning of
over 70,000 pages for 9 different economic publications. Almost half of our scanning has
been completed in the past 3 months.
We have cleaned, OCR’d and posted some 38,000 pages and posted these to the
FRASER site. Another 6,000 pages have been cleaned since June and are awaiting the
completion of publication series before being moved to the web.
Right now we are working on the Business Conditions Digest series. It is a
monthly publication with over 25 years of releases. We are looking to finish the 1960s in
the coming weeks and post these to the site.
As a benchmark indication of how our process has proceeded, since June we have
logged almost 600 hours in scanning and cleaning activities which has resulted in a cost
per page of around 8 cents. This compares favorably to the cost to outsource this
function, which we found to be from 25 cents to over a dollar per page back in 2003,
depending on the number of pages scanned. And not all of the companies we received
quotes from could scan at our specs.
Future Projects


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In the long run, we are looking at a number of other offerings that will further
enhance our position as a premier source for economic data.

Included, is the introduction of metadata to the files posted to FRASER that will
enhance their usefulness. It would be great to be able to say this was already part of the
FRASER process, but we’ve actually been waiting for the GPO to finalize its standards
instead of going ahead with one of our own making.
As mentioned earlier, ALFRED, or Archival FRED, is an archival database of
what we have posted to FRED over the years. Our practice has been to save the data on
FRED each week onto DVD. By using the data saved to these discs, we will create a
database that will allow researchers to see exactly what data was available on a given
date, or date range, and allow them to analyze the effects of the revision process on
economic models and lead to more effective forecasts and explanatory modeling. As an
aside, and to those of you who might be interested, our principal programmer on this
project has been greatly influenced by the text, Developing Time-Oriented Database
Applications in SQL, by Richard T. Snodgrass which, unfortunately is out of print, but
the author has made it available on his web site
(http://www.cs.arizona.edu/people/rts/tdbbook.pdf). The information learned from this
source has proved valuable during our development of ALFRED.
We are also working on the development of a Union Catalog of electronic
resources related to economic information. The catalog will permit the user to search for
economic reports, data releases, and information related to economics that are posted to


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the Internet around the world – including other central bank and U.S. agency web sites.
We think this will provide a valuable referencing tool to economists and researchers.
I’ll turn this over now to Julie Knoll, who will tell you more about the technical
aspects of FRASER related to the scanning, OCR and the web site.


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Speaker: Julie Knoll
I’ll be talking to you today about the hardware and software used for creating the
documents and the website, some considerations to keep in mind, our back up
procedures, and last how the data is actually input into the database.
Scanning and Preparation Tools
We started out using two different scanners. The first was a Xerox DocuCentre,
which is a copier/scanner/printer. It was used to scan all of the Economic Indicators. We
soon realized how time consuming this was and that we could not permanently take over
the department’s main copying machine. We purchased a Kodak i260 document scanner,
and a second one soon after. This scanner has both a document sheet feeder and a flatbed
screen. The scanner worked wonderfully at first, but we did start to have problems.
Strange lines would appear throughout the documents and would not always disappear
after cleaning the scanner and a part broke with no replacement that we could order. To
say the least, we now have in our plans to purchase a Fujitsu scanner.
The Kodak scanners came with Kodak Capture Software that we use for scanning
the documents. The software allows scanning at resolutions up to 2400 dpi, black-andwhite, grayscale or color scanning, and outputs images to a variety of formats. It has a
feature for customizable templates to save sets of configurations for different projects. It
can also take an image of a book scanned from the flatbed and split the image in half, so
that each page of the book becomes a separate image.
We scan all of our documents as 600dpi, black-and-white, multi-page TIF files.
Scanning in grayscale or color is only done when specifically needed for a document.
We find that multi-page files are easier to work with and to keep organized than are


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single-page files. Many software packages can split the document into single-pages files
at any time.
ScanSoft PaperPort is then used to clean up the images. Black borders,
handwritten comments, and other non-essential marks are erased from the pages. All
pages are de-skewed and rotated to the correct orientation. This software works well for
the most part. It is user-friendly and has pretty much all of the features we need. It has
been known to use up a lot of the computers memory though.
OCR, or optical character recognition, is next. Up to now, ABBY FineReader
was used for all documents. Other software was evaluated, and FineReader seemed to
perform the best. Obviously there is no single software package that does equally well
across different types of documents. FineReader was tested with Economic Indicators
and did a reasonable job with nested table cells.
The OCR software exports the document to a PDF format containing the page
images overlaid with clear text. This means that when you are looking at the PDF you
are seeing the actual scanned image, but you are still able to select and search through the
overlaid text. You can also use the software to export the text into a variety of other
formats including Microsoft Word and Excel.
OCR Considerations
When performing OCR on a document there are multiple factors that must be
considered. The quality of the original is the most important. The cleaner your original
document is the more accurate the OCR will be. You should try to use the cleanest
copies available, but when you’re dealing with documents 100 years old, take whatever
you can get.


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Scanning at high resolutions is best, but it will also create a large file size.
Remember that the smaller the print, the higher resolution that will be needed. We
scanned all of our documents at 600dpi, but during the PDF conversion stage, the images
are reduced to 300dpi. Even still, this creates a rather large file for most documents. We
decided to stay with this because the text is extremely small in some cases and we wanted
users to be able to zoom in as much as needed and still have the text legible. These
examples were taken from a finished PDF for Business Statistics. You can see here how
small the text is when viewed at 100% compared to viewing it at 400%.

Your documents will not be 100% accurate. Even the best OCR software with the
cleanest documents is only rated to be 99.9% accurate. This means that one out of every
thousand words will be identified incorrectly.
As of yet, the OCR’d text for documents on the FRASER site has not been
proofread or corrected. This is both a time-consuming and tedious process. Eventually,
we do plan on correcting and extracting the data and placing in AlFRED, but for the time
being, the main purpose of OCR for us is so that the final PDF will be full-text
searchable.
One of our concerns is that a user might extract the text from the document
without realizing that the data is incorrect. The way we prevent this is by implementing
PDF security using Adobe Acrobat® on all PDF files. PDF security uses a password to
restrict different features of the document. You are able to prevent users from opening


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the document, printing the document, and various levels of editing unless they have the
password. We use the security to restrict copying and extracting of all text within the
document. The text is still readable, and therefore still searchable by users and internet
search engines, and it still accessible by screen reading software.
Website Software
On the FRASER, FRED, and eventually AlFRED sites we use a combination of
Red Hat Linux, Apache web server, PostgreSQL database, and PHP programming
language. These are all open-source projects. We have found the combination to be
stable, secure, and fast.
PostgreSQL
We chose to use PostgreSQL for the database rather than the more popular
MySQL because of the more advanced features that PostgreSQL offers such as
transactions and foreign key relationships.
Transactions allow you to rollback a series of updates if an error occurs in the
middle. If you are updating two related records and an error occurs during the second
update, chances are you do not want to commit the first update. Transactions will only
commit the updates if all updates are successful. Otherwise, it will rollback to the state of
the database as it existed before the transaction began.
Foreign key relationships help with data consistency when you have two related
tables. If a record in one table depends on another, a foreign keep will check that the
proper record exists in the main table before any data is added to the subsequent table.


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PostgreSQL also has many other features such as subqueries, views, and stored
procedures that make application development much cleaner and simpler.
PDFLib+PDI
We also use an extension to PHP called PDFLib+PDI. PDFLib is a development
tool allowing automatic PDF generation on the web server. The PDI piece, is available
only with the commercial version of the software, and is a companion tool that allows
you to process existing PDFs. We use the software to create the grouped page files on
the site. It loops through the PDFs, extracts the correct page from each issue, and groups
them together in one new file. These files are created beforehand and stored on the
server. We also use the software to allow users to extract single pages out of any issue.
These files are created on the fly, only when the user specifies a particular page.
Back-Up Procedures
Both FRED and FRASER use similar back up procedures. We use a combination
of CVS, tape backups, contingency servers, and hard drive failover technologies.
CVS is a version control system that allows you to record the history of files.
Every night any changes to documents and static HTML documents are recorded. This
allows us to revert to a previous version of a file at anytime. In addition, the database for
both sites is fully backed up each night by creating a dump file. A dump file is a text file
that contains all the commands and data for rebuilding the database structure and
restoring all of the data.
Each server is backed up to tape once a week. All documents and the database
dump files are included in this. In case of server failure of data corruption, we will be
able to restore the entire site from the tape backup.


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We also have contingency servers at a remote location. Every night the main
server is synchronized with the contingency server to create an exact replica. In the event
of an emergency at our St. Louis location, we can switch service over to the contingency
machine.
RAID (redundant array of independent disks) is a way of storing the same data in
different places on multiple hard disks. If one drive were to fail, the same data could be
read from another drive. A hot spare is a hard drive waiting to take over automatically
and rebuild a failing RAID drive. Both servers have RAID 5 with hot spare. This means
that we can have a hard drive failure and stay up and running with zero down time and no
required human intervention.
For FRASER the original tiff files, the cleaned tiff files, and the final PDF files
are all burned to CD or DVD.
Data Entry
The PDF files are not stored in the database. The files are stored regularly on the
file system, and the path to the directory where the files are located is stored in the
database. This and all other metadata is entered into the database by using simple web
based administration forms. These forms are restricted to IP addresses within the bank
and require a user name and password for access. The person doing the data entry must
input all information about a document including the date, any keywords, table of
contents, and the page number of the PDF for every page. These page numbers are used
when creating the grouped page files and when extracting single pages from an issue.
Each issue can be marked as private so another person can double check the information
before it is publicly available.


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This pretty much sums up the technical side of Fraser. I have included a slide that
lists websites for all hardware and software mentioned. I will now open up the room if
anyone has any questions.


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