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๊ทํ์ ๋ธ๋ผ์ฐ์ ๊ฐ ์๋ฒฝํ๊ฒ ์ง์๋์ง ์์ต๋๋ค. ์ต์ ์ด ์๋ ๊ฒฝ์ฐ ์ต์ ๋ฒ์ ์ผ๋ก ์ ๊ทธ๋ ์ด๋ํ๊ฑฐ๋ Mozilla Firefox, Microsoft Edge, Google Chrome ๋๋ Safari 14 ์ด์์ ์ฌ์ฉํ์ธ์. ๊ฐ๋ฅํ์ง ์๊ฑฐ๋ ์ง์์ด ํ์ํ ๊ฒฝ์ฐ ํผ๋๋ฐฑ์ ๋ณด๋ด์ฃผ์ธ์.
์ด ์๋ก์ด ๊ฒฝํ์ ๋ํ ๊ทํ์ ์๊ฒฌ์ ๊ฐ์ฌ๋๋ฆฝ๋๋ค.์๊ฒฌ์ ๋ง์ํด ์ฃผ์ธ์
With todayโs high level of interest in research integrity, transparency and openness, reinforced by policies sharing this direction, research data is rapidly rising up the agenda and now itโs time for action. Find out how to elevate your research excellence with Elsevierโs Research Intelligence toolset.
Use cases for research tracking
Your 10-step plan to begin tracking your institutional research data
Discover what the University of Canberra did in response to The Australian Code for the Responsible Conduct of Research which came into effect in 2019 and dictated principles of how data is stored, accessed and shared, and laid the onus of compliance on institutions and individual researchers.ย
10 things I wish I had known before my institution introduced RDM
6 great reasons you should engage with research data management
This work illustrates how clustering of author communities can be improved by using metadata about the authors (such as subject area or institutional affiliation) to supplement network structure based on co-authorship or citation relationships. Using such metadata can improve clustering significantly, both in terms of human interpretability and by allowing detection of smaller groups โ but weighting metadata too highly in relation to network structure can be detrimental.