絞り込み

16645

広告

新型肺炎 空港や港の検疫所でもウイルス検査実施へ 厚労省

中国で新型コロナウイルスによる肺炎が拡大する中、厚生労働省は感染者をより早期に発見するため、空港や港にある検疫所でもウイルス検査を実施していくことになりました。...

  1. 「クイーン」のブライアン・メイさん 京都...
  2. 新型肺炎「指定感染症」に きょう閣議決定...
  3. ルマテペロンは統合失調症の症状を軽減 (...
  4. 「嘔吐後の肺炎=誤嚥性肺炎」ではない! ...

ニュース一覧

スターを付ける スターを付ける     (8view , 0users)

Full Text Sources

Other Literature Sources

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
PMID: 26978244 [PubMed - as supplied by publisher]
印刷用ページを開く Endnote用テキストダウンロード