Mabapi le bangoli: Sengoloa sena se lokisitsoe ke litho tsa SHARC (Sharing Rewards and Credit) Interest Group, sehlopha sa mafapha a fapaneng ka hare ho Research Data Alliance (RDARDA, e qadileng ka 2013, ke letsholo la lefatshe lohle, le etellwang pele ke setjhaba le hahang meralo ya motheo ya kahisano le ya botekgeniki ho nolofalletsa ho arolelana data e bulehileng ho pholletsa le mafapha le meedi. Sehlopha sa mafapha a fapaneng a SHARC se shebane le ho ntlafatsa kamoo mesebetsi ya Saense e Bulehileng, haholoholo ho arolelana data le mehlodi, e ananelwang le ho putswa kateng tlhahlobong ya dipatlisiso.
Phuputso ea morao tjena e entsoeng ke SHARC e tiisa hore mekhoa ea Open Science (OS) e ntse e sa ananeloe haholo tlhahlobong ea lipatlisiso. Ho koala sekheo sena ho tla hloka phetoho e kopanetsoeng ho pholletsa le litsi, mekhatlo ea lichelete, bahatisi le baetsi ba melao. Ntle le liphetoho meahong ea khothatso, ho buleha ho tla lula e le takatso ho fapana le tloaelo.
Ho sa tsotellehe keketseho e potlakileng ea Open Science e le sepheo sa lefats'e, litsamaiso tsa meputso ea thuto li ntse li itsetsepetse ho li-metric tsa setso. OS e khothalletsa pepeneneng, ho arolelana data, software le liphetho tse ling tsa lipatlisiso, tšebelisano-'moho, ntlafatso ea ho ikatisa hape, le tsoelo-pele e potlakileng ea saense. Leha ho le joalo, ho sa tsotellehe melemo ena, ho amoheloa ha lintlha ho ntse ho sa lekana. Litsamaiso tsa tlhahlobo tsa setso tse behang pele li-metric tse kang tšusumetso ea koranta le litšupiso li ntse li tsoela pele ho busa.
Menehelo e 'meli ea morao tjena e tsoang ho Research Data Alliance (RDA) Sharing Rewards and Credit (SHARC) Interest Group - phuputso ea machaba mabapi le likheo tsa kananelo mesebetsing ea OS (PLOS ONE, 2024) le sete ea likhothaletso tsa bankakarolo (Koranta ea Saense ea Lintlha, 2025) – totobatsa tlhoko ea phetoho ea tsamaiso ho netefatsa hore likhothaletso tsa lipatlisiso li bonahatsa litekanyetso tsa OS.
Phuputso ea SHARC e bokelletse likarabo ho tsoa ho barupeluoa ba 230 ho pholletsa le lik'honthinente tse hlano. Liphihlelo tsa bohlokoa li kenyelletsa:
Liphuputso tsena li supa ho se lumellane ho sa feleng pakeng tsa boitlamo ba lefats'e ho OS le linnete tsa litsamaiso tsa tlhahlobo ea lipatlisiso.
Ha ba botsoa hore na ke mesebetsi efe e lokelang ho putsoa, ba arabelitseng ba ile ba etelletsa pele tsamaiso le ho arolelana data e bulehileng le e FAIR, e lateloa ke phatlalatso e bulehileng. Mekhoa e kang ho arolelana pele ho khatiso le tšebelisano-'moho ka libaka tsa lipatlisiso tsa inthanete e fumane likarabo tse fapaneng haholo. Bongata (85%) bo tlalehile hore mekhatlo ea bona e haelloa ke mekhoa ea meputso ea semmuso. Joalokaha morupeluoa e mong a hlokometse: "Ho phatlalatsa data e bulehileng kapa software ha ho ntse ho sa baloe litekanyetsong tsa ka tsa papatso."
Mehlala e metle e ne e tsepamisitsoe haholo linaheng tse 'maloa - ho kenyeletsoa Fora, United States, Netherlands le Finland - moo litsi li fanang ka lichelete, likhau, libeche, kapa mefuta e meng ea kananelo. Ho pholletsa le lithuto le mesebetsi, khetho e matla ka ho fetisisa e ne e le ho kenya matšoao a OS ka kotloloho liqetong tsa ho hira, ho phahamisoa le ho fumana chelete. Ba arabelitseng ba hatelletse tlhoko ea ho leka-lekanya litekanyo tsa boleng le tsa bongata, ho netefatsa hore menehelo ea OS ea ananeloa ntle le ho pheta meeli ea litekanyo tsa hajoale. Ka kakaretso, liphuputso li hlakisa tlhoko ea phetoho ea tsamaiso ho hokahanya likhothaletso tsa lipatlisiso le litekanyetso le mekhoa ea OS.
Ho rarolla likheo tsena, RDA SHARC Interest Group e thehile likhothaletso tsa ho fana ka mantsoe a arolelanoang, lisebelisoa tsa ho etsa 'mapa, le tataiso e sebetsang bakeng sa litsi, bafani ba lichelete le bahatisi mabapi le mokhoa oa ho hokahanya likhothaletso le melao-motheo ea OS hamolemo. Ka ho li kenyelletsa meralong ea ho hira, ho phahamisa le ho tšehetsa lichelete, likhothaletso li ikemiselitse ho haha setso sa lipatlisiso se ananelang le ho putsa menehelo ea OS ka linako tsohle.
Mekhatlo e etsang lipatlisiso e lokela ho ananela ka molao menehelo ea OS ka ho kopanya data ea FAIR, khoutu, le liphetho tse ling ho mekhoa ea ho hira, ho ba le nako le ho phahamisoa. Ho sala morao ho lokela ho netefatsoa ka lipolelo tsa ho fumaneha, litšupiso, le lihokelo tse tsoelang pele ho feta mohlala oa phatlalatso oa setso. Mekhatlo e lokela ho boela e tsetele meralong ea motheo, koetlisong le tšehetsong ea basebetsi, 'me e fane ka meputso e bonahalang joalo ka likhau, libeche, kapa matsatsi a phomolo.
mohlala: The 'Mapa oa Tsela oa CNRS bakeng sa OS e nahana feela ka diphetho tse kentsweng polokelongtshedimosetsong tse bulehileng nakong ya ditlhahlobo tsa tshebetso, ha Moralo oa NORCAM e kenyelletsa ka ho hlaka mekhoa ea OS tlhahlobong ea lipatlisiso le tsoelo-peleng ea mosebetsi.
Bafani ba lichelete Ba lokela ho laela le ho tšehetsa mekhoa ea OS ka lichelete - ho kenyeletsoa le tlhokomelo ea data, ho arolelana le koetliso - le ho ananela liphetho tse fapaneng tse kang li-dataset, software le likhatiso tsa pele e le menehelo ea lipatlisiso ea maemo a holimo. Ba lokela hape ho beha leihlo ho latela melao-motheo ea OS le ho tlaleha liphetho tse lefelloang ka ho hlaka ho netefatsa boikarabello le ho khothaletsa mekhoa e metle.
mohlala: ANII ea Uruguay e kenyelletsa ditekanyetso tse inehetseng tsa OS ditshisinyong tsa dithuso. Saense e Akaretsang ho Across Parkinson's (ASAP) Leano la OS e hloka hore bafani ba lithuso ba arolelane data, khoutu, liprothokholi, le lisebelisoa tsa bohlokoa polokelong ea lintho tse bulehileng hammoho le likhatiso tsa pele le lingoliloeng tse bulehileng.
Bahoeletsi Ba lokela ho sebelisa li-identifier tse sa khaotseng (mohlala, li-ORCID, li-DOI) bakeng sa bangoli, li-dataset, li-software le lihlahisoa tse ling tsa lipatlisiso, 'me ba lokela ho laela hore ho qotsoe ho loketseng le ho latela melao e nepahetseng ho ntlafatsa ho sibolloa le ho sebelisoa hape. Ba lokela hape ho tšehetsa tlhahlobo e bulehileng ea lithaka, ho abela bahlophisi ho hlahloba li-dataset, khoutu le lisebelisoa, le ho amohela mekhoa ea bafani e kang CRediT ho ananela ka molao mefuta e fapaneng ea menehelo.
mohlala: The Leano la PLOS OS e khothalletsa ho arolelana lintho tsa khale tsa lipatlisiso, ho kenyeletsoa le data, khoutu le thepa, 'me e lekola ho latela melao ka Matšoao a OS. Setsebi sa Tlhaho sa Amerika mesebetsi e inehetseng bahlophisi ba data ho netefatsa hore li-dataset le khoutu li latela melao-motheo ea FAIR.
Baetsi ba maano a mmuso ba lokela ho kopanya OS maanong a mahlale a naha, ho kenyeletsoa le mekhoa ea meputso le kananelo ho tloha qalong. Ba lokela hape ho khothaletsa maemo le tšebelisano-'moho ho tšehetsa tšebelisano-'moho le tlhahlobo e tsitsitseng ho pholletsa le litsi.
mohlala: Fora (MHERI, 2021) le Netherlands (Gielen le ba bang, 2022) ba kentse dibopeho tsa meputso bakeng sa OS maanong a bona a saense a naha.
Bafuputsi ka bomong Ba lokela ho sebelisa li-identifier tse sa khaotseng tse kang li-ORCID le li-DOI ho ntlafatsa ponahalo le ho sala morao. Ba lokela ho latela le ho qotsa liphetho tsa OS, ho kenyeletsoa le li-dataset, software, le lisebelisoa tse ling, ho li-CV le lits'ebetsong, le ho sebelisana le mekhoa ea ho lemoha matšoao joalo ka libeche kapa mesebetsi ea baemeli ho bontša menehelo ea bona.
mohlala: Bafuputsi ba ka ntlafatsa ponahalo ea mosebetsi ka ho hokahanya liphetho tsa OS le tsa bona ORCID lirekoto le ho sebelisa Libeche tsa OS mesebetsing ea bona.
Setšoantšo ka Leif Christoph Gottwald on Unsplash
ikgololo
Tlhahisoleseding, maikutlo le dikgothaletso tse hlahisitsweng diblogong tsa rona tsa baeti ke tsa batho ba kentseng letsoho ka bomong mme ha se hakaalo hore di bontsha boleng le ditumelo tsa Lekgotla la Saense la Matjhaba.