A Report of the APSA Confidentiality in Social Science Research Data Project

PS ◽  
1975 ◽  
Vol 8 (3) ◽  
pp. 258 ◽  
Author(s):  
James D. Carroll ◽  
Charles R. Knerr
F1000Research ◽  
2015 ◽  
Vol 4 ◽  
pp. 193 ◽  
Author(s):  
Muriel Swijghuisen Reigersberg

This paper explores emerging practices in research data management in the arts, humanities and social sciences (AHSS). It will do so vis-à-vis current citation conventions and impact measurement for research in AHSS. Case study findings on research data inventoried at Goldsmiths’, University of London will be presented. Goldsmiths is a UK research-intensive higher education institution which specialises in arts, humanities and social science research. The paper’s aim is to raise awareness of the subject-specific needs of AHSS scholars to help inform the design of future digital tools for impact analysis in AHSS. Firstly, I shall explore the definition of research data and how it is currently understood by AHSS researchers. I will show why many researchers choose not to engage with digital dissemination techniques and ORCID. This discussion must necessarily include the idea that practice-based and applied AHSS research are processes which are not easily captured in numerical ‘sets’ and cannot be labelled electronically without giving careful consideration to what a group or data item ‘represents’ as part of the academic enquiry, and therefore how it should be cited and analysed as part of any impact assessment. Then, the paper will explore: the role of the monograph and arts catalogue in AHSS scholarship; how citation practices and digital impact measurement in AHSS currently operate in relation to authorship and how digital identifiers may hypothetically impact on metrics, intellectual property (IP), copyright and research integrity issues in AHSS. I will also show that, if we are to be truly interdisciplinary, as research funders and strategic thinkers say we should, it is necessary to revise the way we think about digital research dissemination. This will involve breaking down the boundaries between AHSS and other types of research.


Author(s):  
Jagdish Arora ◽  
Pallab Pradhan ◽  
Yatrik Patel ◽  
Miteshkumar Pandya ◽  
Hiteshkumar Solanki ◽  
...  

PLoS ONE ◽  
2020 ◽  
Vol 15 (8) ◽  
pp. e0233455
Author(s):  
Elina Late ◽  
Jaana Kekäläinen

2021 ◽  
Vol 58 (1) ◽  
pp. 4109-4115
Author(s):  
Zadrian Ardi Et al.

Determination of criteria and categorization of data in measurement is a crucial moment when processing research data. Overview, exploration and presentation of data will be effective and valid if the criteria set meets the requirements, both from a theoretical and statistical perspective. However, the fact that often arises, especially in beginner researchers made a mistaken in determining the criteria and categories. These errors are often indicated in the form of incomprehension and negligence of researchers in placing data types with the type of methodology. This paper describes various errors in determining criteria and categories of research data, determining criteria and categories of research data, and suggesting their meaning, especially in social science research. This research involved respondents from four different types of assessments, which is 428 respondents from Daharnis-Zadrian Majoring Choices Inventory (DZ-MCI) and 174 respondents from the Acceptability of Mental-Health Mobile-App Survey (AMMS), as well as 1190 respondents from the development of DLAS and DLESS inventory. The results of the study show that the determination of categories and criteria in data processing greatly impacts the truth of data exposure and advanced data analysis. Implications of these studies for determining categories and criteria of research on social science research are discussed


2013 ◽  
Vol 8 (2) ◽  
pp. 215-222 ◽  
Author(s):  
Natascha Schumann ◽  
Reiner Mauer

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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