Showing posts with label data. Show all posts
Showing posts with label data. Show all posts

Monday, June 1, 2015

Jun'15: Telling Your Story with Data (FDLP)

Wednesday, June 24 (12-1 pm Mountain)

In this presentation, Melanie Poulter, MA, Senior Planner of Data Analysis and Communication for the Community Service Council of Greater Tulsa, Oklahoma (CSC), a human services research, planning, and convening organization will be presenting. Learn how to more effectively tell your story by presenting data in easy to grasp infographics. Some familiarity with Excel graphics and PowerPoint graphics would be helpful.

For more information and to register for this program, visit:  http://www.fdlp.gov/about-the-fdlp/fdlp-events-calendar

Friday, May 22, 2015

Jun'15': Metadata Manipulations: Using MarcEdit and Open Refine to Enhance Technical Services Workflows (Nebraska State Lib)

Wednesday June 24, from 10am - 11am Central

http://nlc.nebraska.gov/scripts/calendar/eventshow.asp?ProgID=14117

Are you looking for ways to edit your catalog records more efficiently, transform your library data from one format to another, and easily detect misspellings and other inaccuracies in your metadata? MarcEdit and Open Refine are powerful tools that can help you deal with all of these issues. Emily Nimsakont, Cataloging Librarian, Nebraska Library Commission, will show how you can harness the power of these tools to make your work easier.

Thursday, April 30, 2015

Jun'15: Applied Programming in Python (Library Juice Academy)

http://libraryjuiceacademy.com/086-applied-python.php

Dates: June 1-26, 2015
Price: $175

Now that you've taken Beginning Programming in Python, Parts I and II, you can write a modular program complete with reusable objects and you can manage user interaction. What now? Applied Programming in Python answers that question. Learn how to efficiently handle errors, construct more complex data structures, interact with SQL databases, and parse XML. You will also receive an overview of the Django Web Programming Framework. The practical knowledge gained in this course will provide students with experience and skills to tackle real world problems. Students will gain a foundation upon which to build complex applications in the world of linked systems and shared data.

May'15: Research Data Management (Library Juice Academy)

http://libraryjuiceacademy.com/082-data-management.php

Dates: May 4-29, 2015
Price: $175

"Digital information lasts forever or five years, whichever comes first" - Jeff Rothenberg, RAND

Petabytes of scientific data are produced on a regular basis, but could be lost in as much time if they are not properly captured and curated for future use, nor marked up in a way that allows for discovery and reuse by researchers. What can we do to help? Librarians, archivists, and information professionals bring many necessary skills to the realm of scientific data. For instance, developing necessary metadata, standards, and systems of classification, or establishing an archival plan for data selection, migrating data forward, and creating finding aids that capture the placement of data in its milieu for the user, or finally developing appropriate databases and technologies to support data creation, preservation, discovery, and reuse to capture data earlier in the data lifecycle rather than asking for deposition after the publication is away. As institutions are largely being held responsible for the long-term preservation and hosting of scientific research data, data librarianship within the context of academic and special libraries is both viable and necessary for those who have an interest.

Jun'15: Planning for the Evolving Role of Metadata Services (ALCTS)

http://www.ala.org/alcts/events/ac

June 2–4, 2015. Three 90 minute sessions over three days:
Three 90 minute sessions over three days.  Sessions begin at 2 p.m. Eastern | 1 p.m. Central  | 12 noon Mountain | 11 a.m. Pacific

Session 1: Metadata Services for Research Data Management (June 2)
Librarians continue to engage in active partnerships with researchers who seek assistance in describing and organizing their data to meet federal mandates and to promote the discoverability and preservation of their work. This session will examine different ways that librarians collaborate with researchers to manage metadata workflows for research data.

Session 2: Assessing Metadata Staffing and Workflows (June 3)
Many metadata programs have moved beyond the beginning stages of developing workflows for digital library content.  Planning for future development requires analyzing current costs and workflows.  This program will discuss ways in which metadata creators and coordinators gather, assess, and report metrics in order to evaluate staffing and workflows.

Session 3: Techniques and Technologies for Developing Local Controlled Vocabularies (June 4)
Best practices for managing local controlled vocabularies have grown rapidly in recent years with the development of standards such as the Encoded Archival Context-Corporate Bodies, Person and Families (EAC-CPF). These guidelines have influenced not only the development of special collections practices, but also metadata standards for localized controlled vocabularies. How should institutions handle these changes to stay up to date with new and emerging standards? This program will look at two cases studies from the University of Miami Libraries and the George Washington University Libraries that demonstrate technology and techniques for managing local controlled vocabularies and implementing EAC-CPF.

ALCTS Member (individual)    43    109
Nonmember (individual)    59    149
International (individual)    43    109
Student Member (individual), Retired Member (individual)    20    50
Groups. Applies to group of people that will watch the webinar together from one access point.        
Member group    99    249
Nonmember group    129    319

Thursday, March 19, 2015

Apr-May'15: Process Mining: Data Science in Action (TU/e)

6 week course: Apr 1-May 19 via Coursera

https://www.coursera.org/course/procmin

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains.

Wednesday, March 18, 2015

Apr-May'15: Data Analysis to the MAX() (edX)

8-week class starts April 7

https://www.edx.org/course/data-analysis-max-delftx-ex101x#.VQmL93u8308

Enhance your data analysis skills using spreadsheets and data visualization.

Using video lectures and hands-on exercises, we will teach you techniques and best practices that will boost your data analysis skills. We will take a deep dive into data analysis with spreadsheets: PivotTables, VLOOKUPS, Named ranges, what-if analyses, making great graphs - all those will be covered in the first weeks of the course. After, we will investigate the quality of the spreadsheet model, and especially how to make sure your spreadsheet remains error-free and robust.

Finally, once we have mastered spreadsheets, we will demonstrate other ways to store and analyze data. We will also look into how Python, a programming language, can help us with analyzing and manipulating data in spreadsheets.

Monday, March 9, 2015

Apr'15: Taking the Struggle Out of Statistics (LITA)

April 6, 2015 - May 3, 2015

http://www.ala.org/lita/taking-struggle-out-statistics

Recently, librarians of all types have been asked to take a more evidence-based look at their practices. Statistics is a powerful tool that can be used to uncover trends in library-related areas such as collections, user studies, usability testing, and patron satisfaction studies. Knowledge of basic statistical principles will greatly help librarians achieve these new expectations.  This course will be a blend of learning basic statistical concepts and techniques along with practical application of common statistical analyses to library data.

This course will be a blend of learning basic statistical concepts and techniques along with practical application of common statistical analyses to library data.

The course will include online learning modules for basic statistical concepts, examples from completed and ongoing library research projects, and also exercises accompanied by practice datasets to apply techniques learned during the course.

    LITA Member: $135
    ALA Member: $195
    Non-member: $260

Friday, March 6, 2015

Mar'15: Overview of IPUMS (Integrated Public Use Microdata Series) Data Projects (FDLP)

Wednesday, March 25, 2015 / 1:00 pm Eastern

http://www.fdlp.gov/about-the-fdlp/fdlp-events-calendar

The IPUMS (Integrated Public Use Microdata Series) projects harmonize and disseminate U.S. and international Census and survey data. This data is made freely-available online and is used by more than 50,000 researchers worldwide. This webinar will introduce attendees to the contents of the IPUMS database, the data harmonization process, and the value-added features created by the IPUMS Projects. Participants will also be shown how to use the interactive metadata available on the Web, the customized microdata extract system, and the online tabulator. Information on any of the IPUMS microdata projects can be found here (https://www.ipums.org/?utm_source=newsletter_534&utm_medium=email&utm_campaign=webinar-overview-of-ipums-data-projects).

Friday, February 27, 2015

Apr-May'15: What You Need to Know about Writing Data Management Plans (ACRL)

http://www.ala.org/acrl/elearningdatamanagement

April 27-May 15, 2015

Demand for data management plan consultants is growing as more granting agencies add this requirement. Most presentations concerning data management do not provide practical advice on how to consult with researchers writing a data management plan for grant submission. This course teaches participants about the elements of a successful data management plan, and provides practice critiquing data management plans in a supportive learning environment where no grant funding is at stake.  Join two experienced data management plan consultants with experience in liaison librarianship and information technology as they demonstrate how all librarians have the ability to successfully consult on data management plan. Each week will include assigned readings, a written lecture, discussion questions, weekly assignments, and live chats with the instructors.  

ACRL member: $135
ALA member: $175
Nonmember: $195
Student: $60

Mar'15: Taming Data Variety: Intelligent Solutions Using Machine Learning and Expert Crowdsourcing (O'Reilly)

http://www.oreilly.com/pub/e/3328

Thursday, March 5, 2015
10AM PT, San Francisco |1pm - New York | 6pm - London | 11:30pm - Mumbai | Fri, Mar 6th at 2am - Beijing | Fri, Mar 6th at 3am - Tokyo | Fri, Mar 6th at 5am - Sydney
 
Duration: Approximately 30 minutes.

Over the past 20 years, companies have invested an estimated $3-4 trillion in IT systems to automate and optimize key business processes. These systems, which are largely dedicated to a single business function or geography, generate enormous amounts of disparate data that is typically stored in one or more data lakes or warehouses.

Monday, January 26, 2015

Mar'15: Research Data Management (Library Juice Academy)




Dates: March 2-27, 2015
Credits: 1.5 CEUs
Price: $175

"Digital information lasts forever or five years, whichever comes first" - Jeff Rothenberg, RAND

Petabytes of scientific data are produced on a regular basis, but could be lost in as much time if they are not properly captured and curated for future use, nor marked up in a way that allows for discovery and reuse by researchers. What can we do to help? Librarians, archivists, and information professionals bring many necessary skills to the realm of scientific data. For instance, developing necessary metadata, standards, and systems of classification, or establishing an archival plan for data selection, migrating data forward, and creating finding aids that capture the placement of data in its milieu for the user, or finally developing appropriate databases and technologies to support data creation, preservation, discovery, and reuse to capture data earlier in the data lifecycle rather than asking for deposition after the publication is away. As institutions are largely being held responsible for the long-term preservation and hosting of scientific research data, data librarianship within the context of academic and special libraries is both viable and necessary for those who have an interest.

Feb'15: How to Listen to Your Community 1: Using Surveys to Gather Data for Needs Assessment and Advocacy (Texas State Library)

https://attendee.gotowebinar.com/register/6804463311051138817
Feb 18 2015  2-3pm CST

Collecting data on patron use and needs for library and technology services is critical to providing valuable services to your community. This session discusses how to efficiently collect data through surveys, and will address planning your survey to get information you can use, structuring the survey and wording questions, and how to use the data for strategic planning and advocacy efforts.

Wednesday, January 21, 2015

Feb'15: Open Data and Science: Towards Optimizing the Research Process (DataONE)

Tuesday February 10th
9 am Pacific / 10 am Mountain / 11am Central / 12 noon Eastern
https://www.dataone.org/upcoming-webinar

The shift to a digital context has transformed scientific communication deeply. The rapid and enormous growth in computing power has also led science itself to approach reality in new ways. Both trends stand behind the rise of open science and open data.

The Open Access movement has already transformed the publishing of research results: new business models, new forms of dissemination, new retrieval tools, and new preservation strategies. It is also beginning to affect the ways in which scientific work is being evaluated. Finally, the emergence of open access to published articles has foregrounded the importance of machine reading whenever vast quantities of documents have to be treated: with it, retrieving, re-using, remixing and reorganizing knowledge can proceed much more efficiently.

The growth in computing power amounts to an epistemological transformation that builds upon the logical revolution initiated in classical antiquity, and upon the experimental method which forms a crucial element of the "Scientific Revolution". Model building is fast becoming the approach of choice for an ever greater proportion of scientific problems. However, model building requires easy access to large amounts of data. These data sets must be organized, curated and made to work across laboratories and disciplines. Issues of replicability and verifiability are at stake in this context.

In conclusion, the computer and the Internet are transforming science in profound ways, and open science and data testify to this fact. This double shift is sufficiently momentous to be compared to the invention of writing and of printing.

Thursday, December 18, 2014

Jan'15: Conducting a Community Needs Assessment (CNA) (FDLP)

Thursday, January 22, 2015 / 2:00 pm Eastern Time

This webinar will show you the state and Federal resources used by the Northwest Indiana Center for Data & Analysis to provide accurate and timely data for our CNA projects. Resources to be previewed will include but are not limited to: American Community Survey, American Factfinder, STATS Indiana, Hoosiers by the Numbers, and StatsAmerica.

http://www.fdlp.gov/index.php?Itemid=1015

Thursday, December 11, 2014

Dec: Making It Count: California Library Statistics Online (CA State Library)

Thursday, December 18, 2014  /  12 Noon Pacific

In this one-hour webinar, you will learn about:
•    The new online version of California Library Statistics at www.californialibrarystatistics.com (link is external)
•    How to find and use data about your library and public libraries statewide
•    Great new online marketing materials using the data in California Library Statistics, customized for your library
•    A peek into the online library data analysis tool at Counting Opinions, available to all public libraries in California

For more information and to participate in the December 18, 2014 webinar, go to https://infopeople.org/civicrm/event/info?reset=1&id=451 .

Monday, December 1, 2014

Jan'15: Data-Informed Design (O'Reilly)

http://www.oreilly.com/pub/e/3219

Thursday, January 8, 2015
10AM PT, San Francisco

You may be a designer, or a coder, or a user experience expert, but you are probably not a data scientist. Still, you want to get more out of the mountain of data you have about your site or app to create a better user experience. This webcast walks through how to identify the data that means the most to user experience and how to use it to make smart decisions about design.

Monday, November 17, 2014

Dec: US Census Bureau Geographic Entities and Concepts (FDLP)

Thursday, December 18, 2014
1pm Eastern Time

This webinar will provide an overview of the most widely-referenced U.S. Census Bureau Geographic Entities (Census tracts, places, urban areas, etc.) and the concepts behind the entities. The topics will include background information on the entities, how they should be used, and caveats when using Census geography.

http://www.fdlp.gov/about-the-fdlp/fdlp-academy

Monday, November 10, 2014

Dec: Data & Statistics for Researching Education (Help! I'm an Accidental Government Information Librarian)

December 3rd, 2014 from 12:00 – 1:00 p.m. (Eastern).  (rescheduled from 9/24/2014)

This webinar will provide an overview of statistics and data available from the U.S. Department of Education's National Center for Education Statistics and other sources including: key statistical publications, online analysis options, and survey datasets.  Learn how to find local-level data, such as for a specific school, school district, or city, as well as national-level research on the condition of public school facilities, dropout rates, assessment, students with disabilities, income distribution of college graduates, and more.

http://tinyurl.com/grs-session39

Nov: The Bureau of Labor Statistics - Part 3 of 3 (Help! I'm an Accidental Government Information Librarian)

November 19th, 2014 / 12:00 – 1:00 p.m. (Eastern)

In part 3, we’ll explore consumer data collected by the bureau that’s reported in its section called BLS Statistics on Spending and Time Use. The BLS collects data on where and how much consumers spend their money and their time.  For instance, how much money do Hispanic families spend on groceries? How much time do married mothers and married fathers spend on household and childcare activities? How has time use or spending patterns changed over time? These survey results provide a treasure-trove of data for marketers.

http://tinyurl.com/grs-session41

Links to previous parts:
October 22, 2014 The Bureau of Labor Statistics - Part 2 (Part 2 of 3)
August 13, 2014 The Bureau of Labor Statistics - Part 1 (Part 1 of 3)