{"id":31531,"date":"2021-10-11T14:34:38","date_gmt":"2021-10-11T12:34:38","guid":{"rendered":"https:\/\/www.chu-poitiers.fr\/?page_id=31531"},"modified":"2021-11-18T18:16:41","modified_gmt":"2021-11-18T17:16:41","slug":"merri","status":"publish","type":"page","link":"https:\/\/www.chu-poitiers.fr\/en\/merri\/","title":{"rendered":"Evolution du mod\u00e8le de r\u00e9partition de la dotation socle au titre des MERRI"},"content":{"rendered":"
[vc_row][vc_column][vc_text_separator title=”Revalorisation et s\u00e9paration en 3 enveloppes.” color=”custom” border_width=”2″ accent_color=”#185679″][vc_single_image image=”31537″ img_size=”full” alignment=”center”][vc_text_separator title=”Fixation de nouveaux seuils d\u2019acc\u00e8s” color=”custom” border_width=”2″ accent_color=”#185679″][vc_single_image image=”31543″ img_size=”full” alignment=”center”][vc_text_separator title=”Cat\u00e9gories de revues” color=”custom” border_width=”2″ accent_color=”#185679″][vc_column_text css=”.vc_custom_1633958158211{border-radius: 5px !important;}”]\n

Avant :<\/strong> pour attribuer une cat\u00e9gorie dans le cas des revues multidisciplinaires, on utilise la moyenne pond\u00e9r\u00e9e des cat\u00e9gories des revues.<\/p>\n

Apr\u00e8s :<\/strong> pour attribuer une cat\u00e9gorie dans le cas des revues multidisciplinaires, on retient la meilleure cat\u00e9gorie des revues.<\/p>\n[\/vc_column_text][vc_text_separator title=”Cat\u00e9gories de revues” color=”custom” border_width=”2″ accent_color=”#185679″][vc_column_text css=”.vc_custom_1633955356240{border-radius: 5px !important;}”]\n

Avant :<\/strong> seul le JCR SCIE (\u00e9dition sciences) est utilis\u00e9 pour calculer les cat\u00e9gories des revues.<\/p>\n

Apr\u00e8s :<\/strong> les JCR SCIE et SSCI (\u00e9dition sciences sociales) sont utilis\u00e9s pour calculer les cat\u00e9gories de revues.<\/p>\n[\/vc_column_text][vc_text_separator title=”Coefficient des cat\u00e9gories de revues” color=”custom” border_width=”2″ accent_color=”#185679″][vc_column_text css=”.vc_custom_1633955374775{border-radius: 5px !important;}”]\n

Avant :<\/strong> il existe 6 coefficients attribu\u00e9s aux cat\u00e9gories : A 8 \/ B 6 \/ C 4 \/ D 3 \/ E 2 \/ Non class\u00e9 (NC) 1.<\/p>\n

Apr\u00e8s :<\/strong> cr\u00e9ation d\u2019une nouvelle cat\u00e9gorie A+ compos\u00e9e de 6 revues (The Lancet, Nature, Science, NEJM, JAMA et BMJ) pour laquelle on applique un coefficient de 14. Il existe donc d\u00e9sormais 7 coefficients attribu\u00e9s aux cat\u00e9gories : A+ 14 \/ A 8 \/ B 6 \/ C 4 \/ D 3 \/ E 2 \/ NC 1.<\/p>\n[\/vc_column_text][vc_text_separator title=”Positions d’auteurs” color=”custom” border_width=”2″ accent_color=”#185679″][vc_column_text css=”.vc_custom_1637252804445{border-radius: 5px !important;}”]\n

Avant :<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n
 <\/td>\nposition<\/td>\nk d\u00e9signe
\nune
\nposition
\ninterm\u00e9diaire<\/td>\n		Pond\u00e9ration<\/td>\n4<\/td>\n<\/tr>\n
1 auteur<\/td>\n1<\/td>\n1er auteur<\/td>\n4<\/td>\n<\/tr>\n
2 auteurs<\/td>\n1, DA<\/td>\n2\u00e8me auteur<\/td>\n3<\/td>\n<\/tr>\n
3 auteurs<\/td>\n1, 2, DA<\/td>\n3\u00e8me auteur<\/td>\n2<\/td>\n<\/tr>\n
4 auteurs<\/td>\n1, 2, 3, DA<\/td>\nPosition interm\u00e9diaire (k)<\/td>\n1<\/td>\n<\/tr>\n
5 auteurs<\/td>\n1, 2, 3, k, DA<\/td>\navant dernier auteur (ADA)<\/td>\n3<\/td>\n<\/tr>\n
6 auteurs<\/td>\n1, 2, 3, k , ADA, DA<\/td>\ndernier auteur<\/td>\n4<\/td>\n<\/tr>\n
7 auteurs et +<\/td>\n1, 2, 3, k, .., ADA, DA<\/td>\ninvestigateur<\/td>\n1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Prise en compte de l’avant-dernier auteur (ADA) \u00e0 partir de 6 auteurs. Prise en compte des listes d’invertigateurs : 1 liste d’investigateur compte pour 1 auteur et vaut 1 point.<\/p>\n

Apr\u00e8s :<\/strong> Meme m\u00e9thode de calcul mais en supprimant la prise en compte de la liste investigateurs.<\/p>\n[\/vc_column_text][vc_text_separator title=”Calcul du score publications” color=”custom” border_width=”2″ accent_color=”#185679″][vc_column_text css=”.vc_custom_1633955499024{border-radius: 5px !important;}”]\n

Avant :<\/strong> Le calcul du score d’une publication se fait par un compte en pr\u00e9sence, i.e. la valeur du score de la publication augmente si le nombre d’auteurs augmente. Le score est la multiplication entre la cat\u00e9gorie de la revue et le rang de l’auteur.<\/p>\n

Apr\u00e8s :<\/strong> Passage \u00e0 un calcul en compte fractionnaire. Cela permet de diviser le nombre de points par la somme des coefficients d’auteurs de la publication. Le compte fractionnaire est multipli\u00e9 par la position de l’auteur et par la cat\u00e9gorie de la revue.<\/p>\n[\/vc_column_text][vc_text_separator title=”Focus sur le compte fractionnaire” color=”custom” border_width=”2″ accent_color=”#185679″][vc_column_text css=”.vc_custom_1633955518143{border-radius: 5px !important;}”]\n

Exemple :<\/strong> Si on a 3 auteurs dans une publication, alors le premier auteur est pond\u00e9r\u00e9 par 4, le deuxi\u00e8me par 3 et le dernier par 4.
\nLa somme des pond\u00e9rations des auteurs est \u00e9gale \u00e0 11 (4+3+4).
\nDonc si la revue est de cat\u00e9gorie A (=8 points), alors :
\n– score 1\u00b0 auteur = 4 \/ 11 x 8 = 2.91
\n– score 2\u00b0 auteur = 3 \/ 11 x 8 = 2.18
\n– score dernier auteur = 4 \/ 11 x 8 = 2.91
\n– si le 1\u00b0 et 2\u00b0 auteurs appartiennent \u00e0 la m\u00eame entit\u00e9, alors le score de l’entit\u00e9 = 5.09<\/p>\n[\/vc_column_text][vc_text_separator title=”Transfert” color=”custom” border_width=”2″ accent_color=”#185679″][vc_column_text css=”.vc_custom_1633955540656{border-radius: 5px !important;}”]\n

Lorsqu’un chercheur quitte une entit\u00e9 A pour arriver dans une entit\u00e9 B<\/p>\n

Avant :<\/strong> ses publications sont prises en compte pour les 2 entit\u00e9s sans d\u00e9valorisation lors de l’ann\u00e9e de transfert.<\/p>\n

Apr\u00e8s :<\/strong> ses publications sont prises en compte uniquement pour le score publication de l’entit\u00e9 A de d\u00e9part, lors de l’ann\u00e9e de transfert.<\/p>\n[\/vc_column_text][vc_text_separator title=”Proposition 15 – Score recherches” color=”blue”][vc_column_text]\n

Avant<\/span><\/span><\/strong> :<\/span><\/span> toutes<\/span><\/span> les<\/span><\/span> cat\u00e9gories<\/span><\/span> de<\/span><\/span> recherche<\/span><\/span> sont<\/span><\/span> valoris\u00e9es<\/span><\/span> de<\/span><\/span> la<\/span><\/span> m\u00eame<\/span><\/span> mani\u00e8re<\/span><\/span>.<\/span><\/span>

\nApr\u00e8s<\/span><\/strong><\/span> :<\/span><\/span> application<\/span><\/span> d\u2019une<\/span><\/span> pond\u00e9ration<\/span><\/span> en<\/span><\/span> fonction<\/span><\/span> de<\/span><\/span> la<\/span><\/span> cat\u00e9gorie<\/span><\/span> de<\/span><\/span> recherche<\/span><\/span> (RBM\/RIPH<\/span><\/span>1<\/span><\/span>,<\/span><\/span> RIPH<\/span><\/span>2<\/span><\/span> et<\/span><\/span> SC)<\/span><\/span> avec<\/span><\/span> les<\/span><\/span>

\ncoefficients<\/span><\/span> suivants<\/span><\/span> :<\/span><\/span><\/p>\n\n\n\n\n\n\n\n
\u00a0<\/td>\n\u00a0<\/td>\nRBM \/ RIPH1<\/td>\nRIPH2<\/td>\nSC<\/td>\n<\/tr>\n
Monocentrique<\/td>\nnon phase I \/ II<\/td>\n5<\/td>\n2.5<\/td>\n1.25<\/td>\n<\/tr>\n
Monocentrique<\/td>\nphase I \/ II<\/td>\n10<\/td>\n5<\/td>\nnon applicable<\/td>\n<\/tr>\n
Multicentrique<\/td>\nnon phase I \/ II<\/td>\n10<\/td>\n5<\/td>\n2.5<\/td>\n<\/tr>\n
Multicentrique<\/td>\nphase I \/ II<\/td>\n20<\/td>\n10<\/td>\nnon applicable<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

coefficients pour les recherches dont l’\u00e9tablissement est promoteur<\/p>\n

 <\/p>\n\n\n\n\n\n\n
\u00a0<\/td>\nRBM \/ RIPH1<\/td>\nRIPH2<\/td>\nSC<\/td>\n<\/tr>\n<\/thead>\n
non phase I \/ II<\/td>\n10<\/td>\n5<\/td>\n2.5<\/td>\n<\/tr>\n
phase I \/ II<\/td>\n20<\/td>\n10<\/td>\nnon applicable<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

coefficients pour les recherches dont l’\u00e9tablissement est investigateur<\/p>\n[\/vc_column_text][vc_text_separator title=”Proposition 18 : Scores recherches-inclusions.” color=”blue”][vc_column_text]\n

Avant<\/span><\/span> :<\/span><\/span><\/strong>

\n\u2022<\/span><\/span> le<\/span><\/span> score<\/span><\/span> inclusions<\/span><\/span> promoteur<\/span><\/span> correspond<\/span><\/span> \u00e0<\/span><\/span> la<\/span><\/span> racine<\/span><\/span> carr\u00e9e<\/span><\/span> du<\/span><\/span> nombre<\/span><\/span> total<\/span><\/span> d\u2019inclusions<\/span><\/span> ;<\/span><\/span>

\n\u2022<\/span><\/span> l<\/span><\/span>e<\/span><\/span> score<\/span><\/span> inclusions<\/span><\/span> investigateur<\/span><\/span> correspond<\/span><\/span> \u00e0<\/span><\/span> la<\/span><\/span> part<\/span><\/span> d\u2019inclusion<\/span><\/span>s dans<\/span><\/span> l\u2019entit\u00e9<\/span><\/span> concern\u00e9e<\/span><\/span> =<\/span><\/span> (nombre<\/span><\/span> d\u2019inclusions<\/span><\/span> de<\/span><\/span> l\u2019entit\u00e9<\/span><\/span> \/<\/span><\/span> nombre<\/span><\/span> total<\/span><\/span> d\u2019inclusions)<\/span><\/span> x<\/span><\/span> (racine<\/span><\/span> carr\u00e9e<\/span><\/span> du<\/span><\/span> nombre<\/span><\/span> total<\/span><\/span> d\u2019inclusions)<\/span><\/span>.<\/span><\/span><\/p>\n

Apr\u00e8s<\/span><\/span> :<\/span><\/span><\/strong> remplacer<\/span><\/span> la<\/span><\/span> fonction<\/span><\/span> racine<\/span><\/span> carr\u00e9e<\/span><\/span> par<\/span><\/span> une<\/span><\/span> fonction<\/span><\/span> avec<\/span><\/span> des<\/span><\/span> seuils<\/span><\/span> relatifs,<\/span><\/span> sp\u00e9cifiques<\/span><\/span> \u00e0<\/span><\/span>

\nchaque<\/span><\/span> type<\/span><\/span> de<\/span><\/span> recherche,<\/span><\/span> et<\/span><\/span> avec<\/span><\/span> une<\/span><\/span> d\u00e9gressivit\u00e9<\/span><\/span> plus<\/span><\/span> forte<\/span><\/span> :<\/span><\/span><\/span><\/p>\n

coefficient recherche x<\/p>\n

\"\"<\/a><\/span><\/div>\n

a : m\u00e9diane des inclusions de l\u2019ann\u00e9e pass\u00e9e <\/span><\/span>en <\/span><\/span>RBM\/RIPH1, RIPH2 et SC<\/span><\/span>

\nb : 95e percentile des inclusions de l\u2019ann\u00e9e pass\u00e9e <\/span><\/span>en <\/span><\/span>RBM\/RIPH1, RIPH2 et SC<\/span><\/span>

\nc : 99e percentile des inclusions de l\u2019ann\u00e9e pass\u00e9e <\/span><\/span>en <\/span><\/span>RBM\/RIPH1, RIPH2 et SC<\/span><\/span>

\npremi\u00e8re <\/span><\/span>ligne, pour x entre 0 et <\/span><\/span>a <\/span><\/span>

\ndeuxi\u00e8me <\/span><\/span>ligne pour x entre a et <\/span><\/span>b <\/span><\/span>

\ntroisi\u00e8me <\/span><\/span>ligne pour x entre b et <\/span><\/span>c <\/span><\/span>

\nquatri\u00e8me <\/span><\/span>et derni\u00e8re ligne pour x au<\/span><\/span>–<\/span><\/span>dessus de <\/span><\/span>c<\/span><\/span><\/p>\n[\/vc_column_text][vc_text_separator title=”” color=”blue”][\/vc_column][\/vc_row]\n<\/div>","protected":false},"excerpt":{"rendered":"

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