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Conference workshops are scheduled for Saturday, June 10, 2000 and will take place in various computer labs at Northwestern University. As in past years, workshops include both full-day and half-day sessions. Full day sessions run from 9:00 a.m. - 4:00 p.m. with a one hour lunch break. Morning sessions run 9:00am-12:00pm; afternoon sessions run 1:00-4:00p.m.
For more information about individual workshops, please contact the Workshop Coordinator, Patrick Yott / pmy2n@virginia.edu.
This Full Day workshop will introduce participants to a variety of topics in
the design and implementation of a new data services department. We will
examine how to manage and organize data services, identify and select data
and documentation, and review issues regarding access and use of the data.
The workshop is introductory in nature and is designed for new data
librarians and data service providers.
Instructors: Jocelyn Tipton (Yale U) and Christof Galli (Duke U)
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Time: 9:00am-12:00pm
This is the first part of a two part workshop that will introduce participants to various tools that can be used to read, massage and analyze data that come in different formats. It will focus primarily on the use of raw ASCII files. Participants will work
through examples using SPSS, SAS, STATA, and PERL . This will be followed
by a series of hands-on exercises to ensure that there is an understanding
of material being discussed. Work with the statistical packages will be
done in a windows environment, while the PERL session will be done under
UNIX.
The morning session will cover the following topics:
- SPSS. The participant will be shown how to read data into SPSS from
non-spss system file formats. Topics covered will include such
things as reading raw ASCII files, import, translate and, time permitting,
some descriptive statistics to confirm that the data has
been properly read. Data from a survey such as the Eurobarometer will be
used in this exercise.
- STATA - this section of the workshop will be a brief introduction to the
fundamentals of reading data and getting it into a STATA data set.
Instructors: Bo Wandschneider (U of Guelph), Gregory Haley (Columbia U)
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Time: 1:00-4:00pm
This is the second part of a two part workshop that will introduce participants to various tools that can be used to read, massage and analyze data that come in different formats. It will focus primarily on the use of raw ASCII files. Participants will work
through examples using SPSS, SAS, STATA, and PERL . This will be followed
by a series of hands-on exercises to ensure that there is an understanding
of material being discussed. Work with the statistical packages will be
done in a windows environment, while the PERL session will be done under
UNIX.
The afternoon session will cover:
- SAS and the PSID. In this section the participant will be working with
files from the PSID. Specifically the participant will be shown how to read
from both the family and individual files and how to merge these records
together. One of the issues with the PSID is the continuity of variables
over time. An exercise will be given where the user will have to find a
set of variables from 2 different years of the family files and use the
individual files to link these records. The
participant will rely on programs, codebooks and information from the PSID
web site.
- PERL - this section will be a brief introduction on the use of PERL to read
and manipulate large data files. In some instances this is easier and
quicker than using the packages outlined in the first part of the course.
Time, permitting other PERL utilities will be demonstrated.
Enrollees in this course should have an understanding of the material covered in the
AM session.
Instructors: Bo Wandschneider (U of Guelph), Gregory Haley (Columbia U)
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Time: 9:00am-12:00am
The Data Documentation Initiative (DDI) is rapidly becoming an
international standard for the content, presentation, transport, and
preservation of "metadata," the information users need to select,
evaluate, manipulate, and understand statistical data in the social and
behavioral sciences. Information contained in traditional codebooks can
now be created in a uniform, highly structured format that is easily and
precisely searchable, that lends itself well to simultaneous use of
multiple data sets, and that will significantly improve the content
and usability of social science metadata. The DDI is also playing a
significant role in the design and development of Web based data
dissemination and analysis systems. This workshop will provide an
understanding of the DTD, an introduction to how DDI documents are created
and used with style sheets, and a review of how the DDI is used in the
dynamic NESSTAR system of data discovery, usage, and dissemination.
This is part one of a two part session. See DDI2: NESSTAR
- Part 1. Scope: Overview of the structure of the Data Documentation
Initiative XML DTD, its current status and applicability.
Instructors: Ann Green (Yale University) and Peter Joftis (ICPSR)
Time: 30 mins
- Part 2. Scope: Introduction to authoring DDI documents. Participants
will create sample codebooks using the UMn shareware authoring tool. The
workshop will include a review of a basic codebook and how the material
maps into the DDI DTD structure. Hands-on coding activity will be focused
in two sections: 1) the study level information and 2) the file and
data description portions of the codebook. Copies of the authoring tool
and fully tagged codebook will be provided to all participants.
Instructors: Wendy Treadwell and Bill Block (UMN), and Peter Granda (ICPSR)
Time: 90 mins
- Part 3. Scope: Overview of the purpose and use of style sheets using XSL
and DDI codebooks. Participants will be able to review and edit sample
style sheets.
Instructor: Patrick Yott (University of Virginia)
Time: 60 mins
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Time: 1:00-4:00 p.m.
The session will give an introduction to the NESSTAR system and how to
run a NESSTAR server. A brief overview of the end-user tool (the
Explorer) will be followed by a more thorough introduction to the tools
that have been developed to make it easy to create and publish
DDI-documented data, either on a NESSTAR server or through other systems.
These tools includes various stand alone converters from existing formats
to the DDI, a fully DDI-supporting statistical package with an integrated
DDI-editor (NSDstat), and the NESSTAR Publisher which will allow
archives/reseachers to develop their data/metadata and publish them over
the Web to a (remote) NESSTAR server.
The workshop will be a mixture of introductions and hands-on session and
give the participants concrete experience on how to set up and populate
a Web-based data library based on the DDI-standard.
Particpants registering for this workshop are encouraged to register for Introduction to DDI.
Instructors: Jostein Ryssevik (Norwegian Social Science Data Services), Lene Wule
(Danish Data Archive),
Ken Miller and Melanie Wright (University of Essex Data Archive)
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Time: 9:00am-12:00pm
The workshop will provide a brief introduction to GIS and its application to
social sciences. The workshop will consist of two chief components: 1) a
basic overview of GIS principles and concepts, and 2) hands-on use of
ArcView GIS
software. Hands-on exercises will focus on U.S. Census numeric and spatial
data, but the possibilities for integrating infrastructure, environmental,
and imagery data into social sciences applications will also be
investigated. A
brief overview of relevant data resources will be provided. At the end of
the workshop, participants will be provided with pointers to available
resources
for continued learning. Previous experience with GIS is not required.
Instructor Steve Morris (North Carolina State University)
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Time: 1:00-4:00pm
For new GIS users, this half-day workshop will focus on the
problems of of locating, identifying, and acquiring spatial data
products in the United States. We'll have an overview of the US
National Spatial Data Infrastructure and give some attention
to interpreting and implementing standard metadata structures
promulgated by the Federal Geographic Data Committee.
Instructor: Michael Furlough (U. Virginia)
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