Delegations will find attached an information note by the Commission on the above mentioned subject.

Transcription

1 Cuncil f the Eurpean Unin Brussels, 26 February 2015 (OR. en) 6409/15 RECH 29 COMPET 54 TELECOM 44 NOTE Frm: T: Subject: Cmmissin Cuncil Science 2.0: utcme f the public cnsultatin - Infrmatin frm the Cmmissin Delegatins will find attached an infrmatin nte by the Cmmissin n the abve mentined subject. 6409/15 AFG/nj 1 DG G 3 C EN

2 ANNEX Outcme f the Public Cnsultatin n Science 2.0: Science in Transitin Infrmatin Nte by the Cmmissin In July 2014, the Cmmissin launched a public cnsultatin n Science 2.0: Science in Transitin, accmpanied by a backgrund paper. Science als referred t as Open Science - describes the n-ging transitins in the way research is perfrmed, researchers cllabrate, knwledge is shared, and science is rganised. It is a systemic change affecting the whle research cycle and all stakehlders, which is enabled by the increasing availability f digital technlgies and Big data, and driven by the glbalisatin f the scientific cmmunity and the grand challenges f ur time. The cnsultatin clsed n 30 September Between Octber and December 2014, the Cmmissin analysed the utcmes and rganized fur multi-stakehlder wrkshps t validate the findings. General Outcmes f the Cnsultatin 1. Respnses The Cmmissin received 498 respnses, f which 164 rganisatins and 38 public authrities. In additin, 28 psitin papers have been vluntarily submitted in additin t questinnaire by stakehlder/branch rganisatins at natinal and Eurpean level. Frm the cnsultatin, it appears that 46 % f the respndents prefer t refer t 'Open Science' t cver the phenmena described in the cnsultatin; 22 % f the answers pt fr the term 'Science 2.0'. 6409/15 AFG/nj 2

3 2. Drivers, barriers, and implicatins The cnsultatin asked fr the views f the respndents abut the main drivers, the barriers and pprtunities fr Science 2.0: Identificatin f trends/drivers: mre than 70 % agree with analysis as presented in the backgrund paper f the cnsultatin: ntably with 'availability f digital technlgy and Big data' and 'researchers lking fr new ways t disseminate research utcmes' as main drivers. Barriers fr 'Science 2.0': mre than 50 % indicate that 'cncerns abut quality assurance' and 'lack f credit/incentives fr 'Science 2.0' type f activity' as main barriers. Implicatins fr science: clse t 80 % believe that Science 2.0 will make science 'better', mre reliable, mre efficient, with greater integrity and cntribute t faster & wider innvatin. Evaluatin f research: 48 % agree that Science 2.0 shuld be part f researchers' careers evaluatin. Opprtunities fr 'Science 2.0': 52 %: fstering new frms f research. 3. Rle f the public authrities The cnsultatin asked what the public authrities shuld d: Develp cherent plicies n Open Access t research publicatins and data: mre than 70 % f respndents. Review prcedures fr quality assessment f research and evaluatin criteria f research prpsals: mre than 53 % f respndents. The Eurpean Cmmissin shuld prmte Science 2.0 under the Eurpean Research Area (ERA) and Hrizn 2020: mre than 50 % f respndents. 6409/15 AFG/nj 3

4 4. Plicy recmmendatins On the basis f the public cnsultatin, accrding t the results, examples f pssible plicy actins under a Eurpean Open Science Agenda in the cntext f the Digital Single Market are the fllwing: Fstering Open Science: raise awareness and supprt stakehlders take-up by e.g. establishing a stakehlder frum at Eurpean level and a self-regulatin/clearinghuse mechanism fr addressing Open Science issues. Remving barriers t Open Science: reward researchers engaged in Open Science activities by setting ut in a Charter the general principles and requirements f hw Open Science shuld affect the rles, respnsibilities and entitlements f researchers and f their emplyers, with regard e.g. f scientific integrity; supprt the develpment f research evaluatin mechanisms supprting pen science (e.g. alternative metrics, pen peer review, invlvement f the public); prvide incentives fr cllabrative science ; address legal cnstraints and uncertainty e.g. regarding the use f text and data mining (TDM) and the use f persnal data in research; prvide training n innvative digital skills', fr example regarding data management skills ('data practitiners'). Develping e-research infrastructures fr Open Science: enable Big data slutins in secured virtual envirnments fr string and managing cmplex data frm different surces t facilitate data-driven science (thrugh fr example a Eurpean science and research clud). 6409/15 AFG/nj 4

5 Mainstreaming Open Access t research publicatins and data: step-up n existing Open Access plicies acrss Eurpe; develp slutins t ensure that research data is findable, accessible, interperable and re-usable (FAIR). Using Open Science as sci-ecnmic driver fr innvatin: create knwledge calitins amng scietal, entrepreneurial and scientific actrs t address scietal challenges thrugh Open Science appraches. 6409/15 AFG/nj 5