Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Data Management in Astrobiology: Challenges and Opportunities for an Interdisciplinary Community
Date
2014-06-01
Author
Aydınoğlu, Arsev Umur
Malone, Jim
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
244
views
0
downloads
Cite This
Data management and sharing are growing concerns for scientists and funding organizations throughout the world. Funding organizations are implementing requirements for data management plans, while scientists are establishing new infrastructures for data sharing. One of the difficulties is sharing data among a diverse set of research disciplines. Astrobiology is a unique community of researchers, containing over 110 different disciplines. The current study reports the results of a survey of data management practices among scientists involved in the astrobiology community and the NASA Astrobiology Institute (NAI) in particular. The survey was administered over a 2-month period in the first half of 2013. Fifteen percent of the NAI community responded (n = 114), and additional (n = 80) responses were collected from members of an astrobiology Listserv. The results of the survey show that the astrobiology community shares many of the same concerns for data sharing as other groups. The benefits of data sharing are acknowledged by many respondents, but barriers to data sharing remain, including lack of acknowledgement, citation, time, and institutional rewards. Overcoming technical, institutional, and social barriers to data sharing will be a challenge into the future.
Subject Keywords
Data preservation
,
Data sharing
,
Data management
URI
https://hdl.handle.net/11511/30707
Journal
ASTROBIOLOGY
DOI
https://doi.org/10.1089/ast.2013.1127
Collections
Graduate School of Social Sciences, Article
Suggestions
OpenMETU
Core
Research data management in Turkey: A survey to build an effective national data repository
DOĞAN, GÜLEDA; TAŞKIN, ZEHRA; Aydınoğlu, Arsev Umur (2020-04-29)
Research data management is an important topic for funding agencies, universities and researchers. In this context, the main aim of this study is to collect preliminary information for Aperta, which is being developed by the Scientific and Technological Research Council of Turkey, to fulfil the following goals: determine the research data management awareness levels of researchers in Turkey; understand current research data management practices in their research environments; and find out their experiences ...
Research data management in Turkey: perceptions and practices
Aydınoğlu, Arsev Umur; TAŞKIN, ZEHRA (2017-01-01)
Purpose - The massive increase in research data being produced nowadays has highlighted the importance of research data management (RDM) to science. Research data not only have to be cost effective but also reliable, discoverable, accessible, and reusable. In this regard, the purpose of this paper is to investigate the perceptions and practices of Turkish researchers on the subject of RDM.
Data science technology selection: development of a decision-making approach
Nazlıel, Kerem; Eren, Pekin Erhan; Kayabay, Kerem; Department of Information Systems (2022-12-29)
Developments in IT, Cloud, Analytics, and related fields have created an abundance of Data Science technologies for practitioners, developers, and organizations to use. This abundance and variety complicate the Data Science technology selection and management processes for the analytics teams. When teams select and use improper tools and technologies, they encounter problems and inefficiencies, also known as technical debt. As a remedy, this thesis proposes a systematic technology selection method consideri...
BIG DATA FOR INDUSTRY 4.0: A CONCEPTUAL FRAMEWORK
Gökalp, Mert Onuralp; Kayabay, Kerem; Eren, Pekin Erhan; Koçyiğit, Altan (2016-12-17)
Exponential growth in data volume originating from Internet of Things sources and information services drives the industry to develop new models and distributed tools to handle big data. In order to achieve strategic advantages, effective use of these tools and integrating results to their business processes are critical for enterprises. While there is an abundance of tools available in the market, they are underutilized by organizations due to their complexities. Deployment and usage of big data analysis t...
Environmental Researchers' Data Practices: An Exploratory Study in Turkey
Allard, Suzie; Aydınoğlu, Arsev Umur (2012-01-01)
This qualitative exploratory study probes the knowledge and attitudes of information science and environmental researchers in Turkey towards scientific data and information particularly in regards to sharing and preservation. Ten environmental scientists and two information scientists were interviewed. Results reveal that research data is stored mostly on personal computers. This raises two issues: organizational and technological sustainability. Environmental scientists in Turkey do not engage in data-inte...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
A. U. Aydınoğlu and J. Malone, “Data Management in Astrobiology: Challenges and Opportunities for an Interdisciplinary Community,”
ASTROBIOLOGY
, pp. 451–461, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/30707.