scholarly journals A Digital Library for Research Data and Related Information in the Social Sciences

2019 ◽  
Author(s):  
Daniel Hienert ◽  
Dagmar Kern ◽  
Katarina Boland ◽  
Benjamin Zapilko ◽  
Peter Mutschke
Keyword(s):  
Social Sciences ◽  
Digital Library ◽  
Research Data ◽  
Related Information ◽  
The Social

scholarly journals Data Access for the Social Sciences in Austria. Open Data, Closed Data, Research Infrastructures and Re-Use

2021 ◽  
Vol 50 (1) ◽  
pp. 15
Author(s):  
Matthias Reiter-Pázmándy
Keyword(s):  
Social Sciences ◽  
Research Policy ◽  
Open Data ◽  
Data Access ◽  
Open Science ◽  
Research Data ◽  
The Social ◽  
Research Infrastructures ◽  
Barriers And Challenges ◽  
Access To Data

Open science and open access to research data are important aspects of research policy in Austria. In the last years, the social sciences have seen the building of research infrastructures that generate data and archives that store data. Data standards have been established, several working groups exist and a number of activities aim to further develop various aspects of open science, open data and access to data. However, some barriers and challenges still exist in the practice of sharing research data. One aspect that should be emphasised and incentivised is the re-use of research data.

Research Data in The Social Sciences: How Much is Being Shared?

2009 ◽  
Author(s):  
Amy Pienta ◽  
Myron Gutmann ◽  
Jared Lyle
Keyword(s):  
Social Sciences ◽  
Research Data ◽  
The Social

PRINCIPLES OF STATISTICAL DATA HANDLING.Fred Davidson. Thousand Oaks, CA: Sage, 1996. Pp. xii + 319. $49.95 cloth, $23.50 paper.

1997 ◽  
Vol 19 (4) ◽  
pp. 517-517
Author(s):  
H. Gary Cook
Keyword(s):  
Social Sciences ◽  
Graduate Students ◽  
Statistical Data ◽  
Data Gathering ◽  
Research Data ◽  
Data Handling ◽  
Know How ◽  
The Social

Have you ever read a book and said to yourself, “Boy I wish I had that back then?” In the area of data handling and manipulation, this is that book. Davidson has compiled 30 principles by which one can effectively handle data. The audiences for this text are: “(a) graduate students and novice researchers who want to expand their knowledge of the use of computers in the social sciences, including education, and (b) educators who want to improve data gathering in their teaching institutions” (p. x). Davidson offers this book as a companion to statistical texts. If you are looking for the equation for a dependent t-test or want to review the assumptions for ANOVA, this is not the book you are looking for. If you want to know how to efficiently handle information, for instance, research data, this is the text for you.

scholarly journals Reducing the Administrative Demands of the Science Curiosity Scale: A Validation Study

2019 ◽  
Author(s):  
Matthew Motta ◽  
Dan Chapman ◽  
Kathryn Haglin ◽  
Dan Kahan
Keyword(s):  
Social Sciences ◽  
Reduced Form ◽  
Random Subset ◽  
New Methods ◽  
Related Information ◽  
Core Set ◽  
The Social ◽  
Administration Time ◽  
Selected Subset ◽  
Nationally Representative

Abstract Science curious people—those who enjoy consuming science-related information—are less likely to hold politically polarized views about contentious science. Consequently, science curiosity is of great interest to scholars across the social sciences. However, measuring science curiosity via the science curiosity scale (SCS) is time intensive; potentially impeding its widespread usage. We present two new methods for reducing SCS administration time. One method presents respondents with a randomly selected subset of items (“Random Subset [RS] Method”). The other asks all respondents a core set of just four items (“Reduced-Form Method;” RF). In three nationally representative surveys, we assess the construct, convergent, and predictive validity of these alternatives. We find both versions to be well validated.

scholarly journals Data policies and data archives as prerequisites of reproducible published research in economics journals

2014 ◽  
Author(s):  
Sven Vlaeminck
Keyword(s):  
Social Sciences ◽  
Data Sharing ◽  
Research Data ◽  
Technical Solution ◽  
German Research Foundation ◽  
Scholarly Journals ◽  
Related Data ◽  
The Social ◽  
Economics Journals ◽  
Published Research

>> See video of presentation (19 min.) In economics - as in many other branches of the social sciences- collaboratively working on data and sharing data is not very common, yet. This is also reflected in the professions’ journals, where policies on data management and data sharing currently exist for a small minority of journals only.I would like to introduce the presentation with some empirical results of a survey, in which economists working for the project EDaWaX (European Data Watch, a project funded by the German Research Foundation) analysed the data sharing behaviour of 488 US and European applied economists. Subsequently we give an overview on data policies of journals in economics and business studies. In the course of the EDaWaX project, the data policies in a sample of more than 300 economics journals have been analysed. The talk suggests guidelines for data policies aiming to foster replication of published research and presents some characteristics of journals equipped with those data policies as well as the status quo in disseminating underlying research data of empirically based articles.Against this analytical background the talk identifies some challenges associated with the current e-infrastructure for providing publication-related research data by journals. The presentation also shows a technical solution for some of these challenges. In particular, the talk presents a pilot application for a publication-related data archive for scholarly journals in the social sciences, which has been developed in the first funding phase of the EDaWaX-project. The aim of this open source tool is to empower editors of scholarly journals to easily manage research data for empirically based articles in their journals. The application mainly targets open research data but is also capable of interlinking data and publications even in the case of confidential or proprietary data.In conclusion the talk outlines the further development of our application and sketches other tasks of the project’s second funding phase.More information on the project is available on www.edawax.de  

scholarly journals Thesaurus-Based Indexing of Research Data in the Social Sciences: Opportunities and Difficulties of Internationalization Efforts

2013 ◽  
Vol 36 (2) ◽  
pp. 12
Author(s):  
Katrin Baum ◽  
Andreas Oskar Kempf
Keyword(s):  
Social Sciences ◽  
Research Data ◽  
The Social

Thesaurus-Based Indexing of Research Data in the Social Sciences: Opportunities and Difficulties of Internationalization Efforts

scholarly journals The GESIS Data Archive for the Social Sciences: A Widely Recognised Data Archive on its Way

2013 ◽  
Vol 8 (2) ◽  
pp. 215-222 ◽  
Author(s):  
Natascha Schumann ◽  
Reiner Mauer
Keyword(s):  
Social Sciences ◽  
Social Science ◽  
Social Science Research ◽  
Science Research ◽  
Research Data ◽  
Data Archive ◽  
Digital Archives ◽  
The Social ◽  
Seal Of Approval

This paper describes initial experiences in evaluating an established data archive with a long-standing commitment to preservation and dissemination of social science research data against recently formulated standards for trustworthy digital archives. As stakeholders need to be sure that the data they produce, use or fund is treated according to common standards, the GESIS Data Archive decided to start a process of audit and certification within the European Framework of Certification and Audit, starting with the Data Seal of Approval (DSA). This paper gives an overview of workflows within the archive and illustrates some of the steps necessary to obtain the DSA as well as to optimize some of its services. Finally, a short appraisal of the method of the DSA is made.

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