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Open Science in Technology Enhanced Learning by Mind Map: Open Science in Technology
Enhanced Learning
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Open Science in Technology Enhanced Learning

Open Science

OPEN SCIENCE: OPEN SOURCE LICENSES IN SCIENTIFIC RESEARCH

Although from 2006, this article Seems to be a very interesting for our work

Case Studies

Journal of Statistical Software

Adoption and use of Web 2.0 in scholarly communications

Scholarly Information Practices in the Online Environment: Themes from the Literature and Implications for Library Service Development

Web 2.0 and Scientific Publishing: A Survey

State-of-the-Art

Open Data

DataTel, DataTEL Theme Team, Sharing data from recommender systems, Data Set Collections

DataShop

OER, OERs: Opportunities and Challenges, Models for sustainable OERs

Open Access

Stellar Open Archive

TeLearn Archive

arXiv

Open Source

Learning Platforms, Claroline, Moodle, Ilias, .LRN

Work-Integrated Learning, APOSDLE

Lifelong Learning, Grapple Project

Open Methodology

myExperiment

Labshare

Open (Spaces?)

Infrastructure for the study&research of nanotechnology

Vision

Benefits

Reproducing research results, Improves reviewing, Reduces fraud

Comparing research results, Prevents redundancies in research design and development

Threats

Privacy

Getting scooped

Reputation

Time and effort needed

Overcoming other problems in TEL

Fragmentation, Increasing understanding for other methodologies

Awareness, Research Network's activities, Publication possibilities, Recommendation of papers, experts etc.

Lack of international visibility, Making research results widely available

Roadmap/practices missing

Reproducibility: reviewing criterion

Accepting publications only if they provide data, source code, and a detailed description of the method

Encourage people to archive their papers as Open Access/talk to publishers

Define standards for Open Data

Common license for Open Source

SWOT of Web in Science

Strengths

Collaborative knowledge building

Information sharing

Weaknesses

Missing benefit/motivation

Not working in TEL

Time and effort needed

No appreciation in research

Filter failure / information overload

Opportunites

Finding new collaboration partners, start new projects

Getting more feedback

Improving the reviewing process, continuous improvement (liquid publications)

Claiming priority

Self-marketing

Dissemination of data

Scaffold experiments/experiences

make research more measurable #altmetrics

Threats

Privacy

Getting scooped

Reputation