Drop out Factors in Data Literacy and Research Data Management Survey: Experiences from Lithuania and Finland
[full article, abstract in English; abstract in Lithuanian] The purpose of this paper is to develop an understanding of factors that affect the respondents to drop out of an already started survey on research data management. We decided to take a questionnaire on data management survey at Vilnius...
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| Format: | Article |
| Language: | English |
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Vilnius University Press
2018-12-01
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| Series: | Informacijos Mokslai |
| Subjects: | |
| Online Access: | http://www.journals.vu.lt/informacijos-mokslai/article/view/12290 |
| _version_ | 1818012502908207104 |
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| author | Jurgita Rudžionienė Vincas Grigas Heidi Enwald Terttu Kortelainen |
| author_facet | Jurgita Rudžionienė Vincas Grigas Heidi Enwald Terttu Kortelainen |
| author_sort | Jurgita Rudžionienė |
| collection | DOAJ |
| description | [full article, abstract in English; abstract in Lithuanian]
The purpose of this paper is to develop an understanding of factors that affect the respondents to drop out of an already started survey on research data management. We decided to take a questionnaire on data management survey at Vilnius University and Oulu University implemented in 2017 as a case study. The data for the analysis was collected using the questionnaire, which was used in multinational research for Data Literacy and Research Data Management, performed by a group of researchers in more than ten countries, initiated by Serap Kurbanoğlu and Joumana Boustany. This paper describes the analysis of 1 185 survey samples, of which 515 were unfinished and 670 finished in both universities. For the analysis of the data, we used Framework for Web Survey Participation created by Andy Peytchev (2009). The collected data was analyzed using IBM SPSS Statistics ver. 19 with descriptive and inferential statistical tests. The most significant factors on deciding not to finish the survey were the length of the survey, the scientific field, experience, age and the topic of the survey. No statistically significant difference was measured between those who finished the survey and unfinished evaluating the data by gender and job position. An important factor in not finishing the survey was the design of the survey. |
| first_indexed | 2024-04-14T06:21:04Z |
| format | Article |
| id | doaj.art-f7353485630945cb9f1b0d9867fa0ce2 |
| institution | Directory Open Access Journal |
| issn | 1392-0561 1392-1487 |
| language | English |
| last_indexed | 2024-04-14T06:21:04Z |
| publishDate | 2018-12-01 |
| publisher | Vilnius University Press |
| record_format | Article |
| series | Informacijos Mokslai |
| spelling | doaj.art-f7353485630945cb9f1b0d9867fa0ce22022-12-22T02:08:01ZengVilnius University PressInformacijos Mokslai1392-05611392-14872018-12-018210.15388/Im.2018.82.8Drop out Factors in Data Literacy and Research Data Management Survey: Experiences from Lithuania and FinlandJurgita Rudžionienė0Vincas Grigas1Heidi Enwald2Terttu Kortelainen3Vilnius UniversityVilnius UniversityUniversity of OuluUniversity of Oulu[full article, abstract in English; abstract in Lithuanian] The purpose of this paper is to develop an understanding of factors that affect the respondents to drop out of an already started survey on research data management. We decided to take a questionnaire on data management survey at Vilnius University and Oulu University implemented in 2017 as a case study. The data for the analysis was collected using the questionnaire, which was used in multinational research for Data Literacy and Research Data Management, performed by a group of researchers in more than ten countries, initiated by Serap Kurbanoğlu and Joumana Boustany. This paper describes the analysis of 1 185 survey samples, of which 515 were unfinished and 670 finished in both universities. For the analysis of the data, we used Framework for Web Survey Participation created by Andy Peytchev (2009). The collected data was analyzed using IBM SPSS Statistics ver. 19 with descriptive and inferential statistical tests. The most significant factors on deciding not to finish the survey were the length of the survey, the scientific field, experience, age and the topic of the survey. No statistically significant difference was measured between those who finished the survey and unfinished evaluating the data by gender and job position. An important factor in not finishing the survey was the design of the survey.http://www.journals.vu.lt/informacijos-mokslai/article/view/12290surveyresearch data managementinformation literacyVilnius University (Lithuania)University of Oulu (Finland) |
| spellingShingle | Jurgita Rudžionienė Vincas Grigas Heidi Enwald Terttu Kortelainen Drop out Factors in Data Literacy and Research Data Management Survey: Experiences from Lithuania and Finland Informacijos Mokslai survey research data management information literacy Vilnius University (Lithuania) University of Oulu (Finland) |
| title | Drop out Factors in Data Literacy and Research Data Management Survey: Experiences from Lithuania and Finland |
| title_full | Drop out Factors in Data Literacy and Research Data Management Survey: Experiences from Lithuania and Finland |
| title_fullStr | Drop out Factors in Data Literacy and Research Data Management Survey: Experiences from Lithuania and Finland |
| title_full_unstemmed | Drop out Factors in Data Literacy and Research Data Management Survey: Experiences from Lithuania and Finland |
| title_short | Drop out Factors in Data Literacy and Research Data Management Survey: Experiences from Lithuania and Finland |
| title_sort | drop out factors in data literacy and research data management survey experiences from lithuania and finland |
| topic | survey research data management information literacy Vilnius University (Lithuania) University of Oulu (Finland) |
| url | http://www.journals.vu.lt/informacijos-mokslai/article/view/12290 |
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