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Data management

About: Data management is a research topic. Over the lifetime, 31574 publications have been published within this topic receiving 424326 citations.


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Journal ArticleDOI
25 Apr 2017-PeerJ
TL;DR: It is confirmed that only a minority of biomedical journals require data sharing, and a significant association between higher Impact Factors and journals with a data sharing requirement is found, and most data sharing policies did not provide specific guidance on the practices that ensure data is maximally available and reusable.
Abstract: BACKGROUND There is wide agreement in the biomedical research community that research data sharing is a primary ingredient for ensuring that science is more transparent and reproducible. Publishers could play an important role in facilitating and enforcing data sharing; however, many journals have not yet implemented data sharing policies and the requirements vary widely across journals. This study set out to analyze the pervasiveness and quality of data sharing policies in the biomedical literature. METHODS The online author's instructions and editorial policies for 318 biomedical journals were manually reviewed to analyze the journal's data sharing requirements and characteristics. The data sharing policies were ranked using a rubric to determine if data sharing was required, recommended, required only for omics data, or not addressed at all. The data sharing method and licensing recommendations were examined, as well any mention of reproducibility or similar concepts. The data was analyzed for patterns relating to publishing volume, Journal Impact Factor, and the publishing model (open access or subscription) of each journal. RESULTS A total of 11.9% of journals analyzed explicitly stated that data sharing was required as a condition of publication. A total of 9.1% of journals required data sharing, but did not state that it would affect publication decisions. 23.3% of journals had a statement encouraging authors to share their data but did not require it. A total of 9.1% of journals mentioned data sharing indirectly, and only 14.8% addressed protein, proteomic, and/or genomic data sharing. There was no mention of data sharing in 31.8% of journals. Impact factors were significantly higher for journals with the strongest data sharing policies compared to all other data sharing criteria. Open access journals were not more likely to require data sharing than subscription journals. DISCUSSION Our study confirmed earlier investigations which observed that only a minority of biomedical journals require data sharing, and a significant association between higher Impact Factors and journals with a data sharing requirement. Moreover, while 65.7% of the journals in our study that required data sharing addressed the concept of reproducibility, as with earlier investigations, we found that most data sharing policies did not provide specific guidance on the practices that ensure data is maximally available and reusable.

112 citations

01 Jan 2012
TL;DR: The Center for Information Sciences at the University of Tennessee (CICS) as mentioned in this paper facilitates and administers applied research in the areas of information systems and database design/evaluation, information usage, effective communication, scientific communication, science publishing, and information management.
Abstract: Dr. Tenopir has published over 200 journal articles, is a frequent speaker at national and international conferences, and for twenty-eight years wrote the " Online Databases " column for Library Journal. Dr. Tenopir holds a PhD degree in library and information science from the University of Illinois. he earned a bachelor's degree in mechanical engineering from Georgia Tech. Following graduation, he worked as an engineer in the aerospace, shipbuilding, and nuclear power industries. Mr. Birch earned a master's degree in computer science at UT, where he worked as a research assistant in the field of robotic software. Suzie Allard is an associate professor and Associate Director for the School of Information Sciences at the University of Tennessee. Dr. Allard's research focuses on how scientists and engineers use and communicate information, particularly data in the digital environment. Tennessee is devoted primarily to research. CICS facilitates and administers applied research in the areas of information systems and database design/evaluation, information usage, effective communication, scientific communication, science publishing, and information management. CICS works with private and public organizations, governmental agencies, and corporations to provide educational materials and research expertise in information-and communication-related projects. The work of CICS has involved dozens of researchers across disciplines and across agency borders.

112 citations

Journal ArticleDOI
TL;DR: The paper describes soil sampling methods and technology applications; field and yield mapping with GPS and GIS; harvesters and future research in robotic-based harvester; food processing and packaging technology such as traceability and status of RFID networking research; application of sensor network; data management and execution systems; and the automation and control standards such as fieldbus systems and OMAC guidelines.

112 citations

Proceedings Article
08 Sep 1982
TL;DR: This paper outlines a framework for more integrated metadata management by synthesizing ideas from statistical analysis, bibliographic retrieval, data dictionary, and database management systems.
Abstract: Data description or metadata presents a significant database management challenge, particularly for scientific and statistical databases. Ideally, we would llke to access and manipulate data and metadata using the same DBMS tools, but there are few systems that even begin to provide such integrated capabilities. This paper outlines a framework for more integrated metadata management by synthesizing ideas from statistical analysis, bibliographic retrieval, data dictionary, and database management systems. Drawing on experience and examples from a large statistical database project, the paper discusses and analyzes: d general types and uses of data about data * special types of metadata for statistical databases * metadata structure and characteristics * principles and requirements for metadata management

112 citations

Journal ArticleDOI
TL;DR: In this paper, the authors focus on future research and the use of project management software in the construction industry and present a study of 240 project management professionals that yielded 240 replies (35% response rate), 42 of which were from construction industry.
Abstract: This paper focuses on future research and the use of project management software in the construction industry. Data are drawn from an empirical study of project management professionals that yielded 240 replies (35% response rate), 42 of which were from the construction industry. Data were collected on: demographics and work environment, project management software usage patterns, analytical technique usage, data management, and suggestions for future research. The results indicate that construction professionals have different characteristics, needs and preferences, as compared to the overall sample. The study shows that construction professionals are more experienced and educated than the respondents in the overall study, they tend to work on fewer projects with larger numbers of activities, and they are more likely to use Primavera (Primavera, Inc., Bala Cynwyd, Pa.) than Microsoft Project (Microsoft Corp., Redmond, Wash.). Construction respondents are heavy users of critical path analysis for planning...

112 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023218
2022485
2021959
20201,435
20191,745
20181,719