Research Data Management Practices

BACKGROUND: Scientific research in the 21st century is more data intensive and collaborative than in the past. It is important to study the data practices of researchers--data accessibility, discovery, re-use, preservation and, particularly, data sharing. Data sharing is a valuable part of the scientific method allowi…

• ARSEV UMUR AYDINOĞLU

Abstract Life sciences research is based on individuals, often with diverse skills, assembled into research groups. These groups use their specialist expertise to address scientific problems. The in silico experiments undertaken by these research groups can be represented as workflows involving the co‐ordinated use of…

• MAHMUT NEDİM ALPDEMİR

Understanding how people rate their confidence is critical for the characterization of a wide range of perceptual, memory, motor and cognitive processes. To enable the continued exploration of these processes, we created a large database of confidence studies spanning a broad set of paradigms, participant populations…

Open scholarship has transformed research, and introduced a host of new terms in the lexicon of researchers. The ‘Framework for Open and Reproducible Research Teaching’ (FORRT) community presents a crowdsourced glossary of open scholarship terms to facilitate education and effective communication between experts and n…

• NİHAN ALBAYRAK

The known challenge of underutilization of data and biological material from biorepositories as potential resources for medical research has been the focus of discussion for over a decade. Recently developed guidelines for improved data availability and reusability-entitled FAIR Principles (Findability, Accessibility,…

• OSMAN UĞUR SEZERMAN

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• ARSEV UMUR AYDINOĞLU

The integration and synthesis of the data in different areas of science is drastically slowed and hindered by a lack of standards and networking programmes. Long-term studies of individually marked animals are not an exception. These studies are especially important as instrumental for understanding evolutionary and e…

• CEMAL CAN BİLGİN

Dramatic changes to the transparency, rigor, reproducibility and replicability of research practices have occurred in the last decade. Despite considerable progress towards the adoption of open science practices by researchers in many disciplines, developing pedagogy to train students in open and reproducible scholars…

This initiative examined systematically the extent to which a large set of archival research findings generalizes across contexts. We repeated the key analyses for 29 original strategic management effects in the same context (direct reproduction) as well as in 52 novel time periods and geographies; 45% of the reproduc…

• HANDAN AKKAŞ

Loss of life and property, disruptions to transportation and trading operations, etc. caused by meteorological events increasingly highlight the importance of fast and accurate weather forecasting. For this reason, there are various Numerical Weather Prediction (NWP) models worldwide that are run on either a local or…

Despite science's great intellectual prestige, developing robot scientists will probably be simpler than developing general AI systems because there is no essential need to take into account the social milieu.

Provenance about data derivations in social networks is usually called social data provenance, which helps in the assessment of data quality, resource tracking, and understanding the dissemination of information in social networks. The collection and processing of social data provenance leads to some challenges such a…