Medicaid Waiver Dataset: Coverage for Childless Adults 1996–2014 – March 29, 2017

This new study was added to DISC Online Archive. It identifies the presence and characteristics of Medicaid coverage for adults without dependent children for each state in the U.S. and the District of Columbia. http://www.disc.wisc.edu/archive/Medicaid/index.html

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2015 American Housing Survey Data Release – March 29, 2017

The microdata and codebook for the 2015 American Housing Survey were released by the U.S. Census Bureau on March 29, 2017. This release  includes the National Public Use File and the Metropolitan Public Use File.  https://www.census.gov/newsroom/press-releases/2017/cb17-tps24.html

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IPUMS Has a New Look

IPUMS portal (https://www.ipums.org/) has a new look.  Updates and new features have been added to IPUMS data projects. Visitors can still access their data and data tools free of charge but will find it is easier to access their projects and find tutorials.

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DataLumos at ICPSR

DataLumos (https://www.datalumos.org/datalumos/) is an open-access repository newly established at ICPSR.  The public can recommend government data resources to be archived in DataLumos.  The public can directly deposit valuable government data resources related to social sciences in this new data repository.  DataLumos is designed to save data, and make them accessible and discoverable. It compliments DataRefuge project (https://www.datarefuge.org/) but is not part of it. DataLumos has not relation to data.gov (https://www.data.gov/).

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IASSIST Responded to President Trump's Executive Order on Visas and Immigration

The International Association for Social Science Information Service and Technology (IASSIST) issued a statement in response to President Trump’s executive order on visas and immigration on February 13, 2017.  IASSIST is an international organization of professionals working in and with information technology, libraries, data services and research & higher education to support open science, advocate for responsible data management and use, build a broader community surrounding research data, and encourage the development of data professionals.

http://iassistdata.org/blog/iassists-statement-response-president%E2%80%99s-executive-order-visas-and-immigration

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Public Data in the Time of Alternative Facts

On January 25, 2017 the Trump Administration mandated that his political appointees review studies or data from scientists at the Environmental Protection (EPA) before they can be released to the public. Senator Mike Lee (R-Utah) and U.S. Representative Paul Gosar (R-Arizon) introduced bills S. 103 and H.482 respectively in the Congress. These two bills are very similar and are both called the Local Zoning Decisions Protection Act of 2017 which specify that, “no federal funds may be used to design, build, maintain, utilize or provide access to a federal database of geospatial information on community racial disparities or disparities in access to affordable housing.” Consumers of public data are troubled by these two events. A group of activists have started to save and preserve data from the Federal Agencies’ websites. Andrew Battista’s blog (http://data-services.hosting.nyu.edu/saving-data-preservation-during-political-turmoil/) on January 26, 2017 gave an account of these data rescue efforts. The Council of Professional Associations on Federal Statistics (COPAFS) issued an Occasional Note (http://www.copafs.org/UserFiles/file/OccasionalNotefromCOPAFS31Jan2017.pdf) on January 31, 2017.  COPAFS’ 300,000 individual researchers, educators, public health professionals, civic groups, and businesses all rely on the quality and accessibility of statistics collected by the federal government. COPAFS and its members will engage new Cabinet appointees in the Trump Administration and members of the 115th Congress by informing and educating them about the value of data gathered by the federal statistical agencies. Meanwhile there is an increasing number of articles written to support public data in our democracy. For example, John Pullinger wrote a wonderful article (https://www.theguardian.com/commentisfree/2017/jan/31/post-truth-statistics-data-facts) in the Guardian to demonstrate the importance of statistics in a “post truth” world.

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ICPSR Summer Program in Quantitative Methods of Social Research

Over 80 courses will be offered in four-week sessions and three-to-five day workshops this summer. A complete list of four-week courses in two sessions (June 26 – July 21 and July 24- August 18) are available from ICPSR Summer Program website. Registration  will open up on Tuesday, February 7, 2017. Please contact sumprog@icpsr.umich.edu for any questions related to 2017 ICPSR Summer Program.

http://www.icpsr.umich.edu/icpsrweb/sumprog/

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2017 ICPSR Summer Program Scholarships

The Inter-university Consortium for Political and Social Research (ICPSR) Summer Program runs from June 26 to July 21 (the first four-week session) and July 24 to August 18 (the second four-week Session). There are several scholarships offering funds to support training in statistics, quantitative methods, research design, and data analysis. These scholarships cover registration fees for one or both four-week sessions. The application deadline for all 2017 ICPSR Summer Program scholarships is March 31, 2017.

http://www.icpsr.umich.edu/icpsrweb/content/sumprog/scholarships/index.html

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2016: A Year of Great Progress in Qualitative Data Archiving and Exchange – January 9, 2017

This blog describes the UK Data Service’s progress in archiving and sharing qualitative data. UK Data Service has built a collection of over one thousand qualitative and mixed methods datasets. It continues to advocate for data export and exchange to the software vendors.
http://blog.ukdataservice.ac.uk/2016-a-year-of-great-progress-in-qualitative-data-archiving-and-exchange/

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An Overview of the 2017 ICPSR Summer Program – January 9, 2016

ICPSR will host a webinar on January 30, 2017 at 2 PM EST to introduce its 2017 Summer Program. The ICPSR Summer Program offers a broad curriculum ranging from introductory statistics and data analysis to advanced methods and cutting-edge techniques. To register for this webinar, visit https://attendee.gotowebinar.com/register/4396124944541958402

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